Statistical Model Report

[NECBL Advanced Statistical Report]A complete statistical analysis of the New England Collegiate Baseball League based on advanced metrics such as wRC+, OPS+, ERA-, and FIP-

2015

Seton Hall University – Sport Management

Patrick Jennings

Table of Contents Introduction… 1 OPS as a Run Predictor…

2-5 Linear Weight Metrics…

6-7 Comparing Hitters in Different Environments…

8o (League Averages)

NECBL Park Factors… 9 wRC+ and OPS+…

10 League Findings – Offense…

11-14 Collegiate Conference Findings – Offense…

15-18 Performance Improvement Rating – Offense…

19-20 Predicting Performance – Hitters…

21o America East… 22-

24o Northeast 10… 25-

26o Patriot League… 27-

28o ACC… 29-

30o Atlantic 10…

31-32o Atlantic Sun… 33o Big Ten… 34o Ivy League…

35o MAC… 36o Ohio Valley… 37-

38o Sunshine State…

39

ERA- and FIP-… 40-41

League Findings – Pitching…42-44

Collegiate Conference Findings – Pitching…45-48

Performance Improvement Rating – Pitching…49-50

Predicting Performance – Pitchers…51

o Atlantic Sun… 52o Big East… 53o Big Ten… 54o Ivy League…

55o MAAC… 56-

57o Pac 12… 58o Sun Belt… 59

Miscellaneous Findings…60-64

Summary…65-66

NECBL Data… 67-110

References…111

Introduction

This analysis was completed during my summer as a baseball operations intern for the Valley Blue Sox of the NECBL. The Blue Sox hail from Holyoke, Massachusetts and play in one of three summer collegiate leagues that are partly funded by Major League Baseball. The league is comprised of top talent from across the country over various levels including NCAA Division I, Division II, Division II, NJCAA, and others. There are 12 teams in the league from across the New England area. They play a 42 game schedule, and so while analyzing statistics over such a short season

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teeters on the verge of senselessness, it still provides value when realizing the context of the data.

The way general managers make decisions on which players to sign in the NECBL is highly, if not entirely, statistically based. They are not out there scouting the players and giving them the “eye test” before they offer a contract. They are simply evaluating every piece of information that is available to them – which is limited in the collegiate world. They listen to scouting reports from their college coaches and review stats from their spring seasons. While knowing to look at statistics such as K/BB ratio and OBP over Batting Average and RBI’s is a step in the right direction, it is still worlds behind what general managers in professional baseball have at their fingertips. While there’s no way to compute pitch f/x data such as spin rate and release point, one is able to compute more advanced metrics with the data that is available to us.

This analysis will take you through my process of computing certain advanced metrics among college seasons and NECBL seasons. These metrics are not only a better indicator of performance, but also allow a general manager to better predict which conferences perform best in the NECBL. Keep in mind that I have tried to write this report so that the average baseball fan with limited knowledge of statistics can understand the concepts and reasons behind these calculations. While one may be confused at the technical computations of the numbers, my goal was to explain the underlying reasons as to why these statistics are important and superior.

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OPS as a Run PredictorObviously the ultimate goal of an offense is to score runs - So finding metrics that are more accurate at predicting runs scored is valuable. OPS (On Base Plus Slugging) is a statistic that is simply computed by adding a player’s On Base Percentage (OBP) to their Slugging Percentage (SLG). This is a notable indicator of runs since it combines the two aspects of the game that directly lead to the ability to score runs – getting on base, and hitting for power.

The graph below shows the relationship between Runs and Batting Average for teams’ seasons in the NECBL from 2010 through 2015.

0.200 0.225 0.250 0.275 0.300 0.32550

100

150

200

250

300

350

Runs vs BA, NECBL 2010-2015

RunsPrediction Line

Batting Average

Runs

The graph below shows the relationship between Runs and OPS for teams’ seasons in the NECBL from the same period.

0.550 0.650 0.750 0.850 0.95050

100

150

200

250

300

350

Runs vs OPS, NECBL 2010-2015

RunsPrediction Line

OPS

Runs

It is hard to tell, but the points in the OPS graph are more clustered around the prediction line than the Batting Average graph. In order to prove this I ran regressions for both sets of data.

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Regression for Runs vs BA

Regression for Runs vs OPS

As you can see from the analysis above, the R squared is what determines the accuracy of prediction. This measure shows how close the data is fit to the regression line – which essentially shows the percentage of the variable that is explained by the linear model.

The regressions show that OPS is a slightly better predictor of Runs with an R squared of .82 while the R squared for BA is .78.

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SUMMARY OUTPUT

Regression StatisticsMultiple R 0.883043287R Square 0.7797654Adjusted R Square 0.776269661Standard Error 19.84548224Observations 65

ANOVAdf SS MS F Significance F

Regression 1 87850.12674 87850.12674 223.0586551 2.2573E-22Residual 63 24812.11941 393.8431652Total 64 112662.2462

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept -220.8548136 28.0531879 -7.872717155 5.95766E-11 -276.9146358 -164.7949915 -276.9146358 -164.7949915Batting Average 1641.770431 109.9266239 14.93514831 2.2573E-22 1422.099604 1861.441258 1422.099604 1861.441258

SUMMARY OUTPUT




Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept -187.7761506 22.941657 -8.184942813 1.69485E-11 -233.6213934 -141.9309077 -233.6213934 -141.9309077OPS 543.4468983 32.28901072 16.83070761 5.37317E-25 478.9224597 607.9713368 478.9224597 607.9713368

This is actually much closer than it should be for the game of baseball in general. To make this point I ran the same test with MLB teams’ statistics for the 2014 season. The results are below.

0.220 0.230 0.240 0.250 0.260 0.270 0.280500

550

600

650

700

750

800

Runs vs BA, MLB 2014

RunsPrediction Line

BA

Runs

0.600 0.650 0.700 0.750 0.800500

550

600

650

700

750

800

Runs vs OPS, MLB 2014

RunsPrediction Line

OPS

Runs

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In this case, you can clearly see that the points are tighter around the line in the OPS graph than the BA graph. This appearance is backed up by the regression analysis.

Regression for Runs vs BA (MLB 2014)

SUMMARY OUTPUT




Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept -368.1429597 147.3926633 -2.497702067 0.018649023 -670.0631399 -66.22277965 -670.0631399 -66.22277965AVG 4089.378573 586.4485793 6.973123847 1.39417E-07 2888.093131 5290.664015 2888.093131 5290.664015

Regression for Runs vs OPS (MLB 2014)

SUMMARY OUTPUT




Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%Intercept -524.0182084 105.2084532 -4.980761454 2.92314E-05 -739.5279525 -308.5084643 -739.5279525 -308.5084643OPS 1690.241342 150.2206866 11.25172159 6.69813E-12 1382.528219 1997.954465 1382.528219 1997.954465

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As you can see, OPS explains about 82% of runs scored (basically the same percentage as the NECBL), while Batting average only accounts for about 63% of runs scored.

This proves that OPS is a better run predictor than batting average. The high R squared for Runs vs BA in the NECBL is surprising, and will probably decrease over time.

Linear Weight Metrics

The advanced statistical world of baseball outside of MLB is lagging behind. Collegiate teams are still heavily relying on the basic offensive statistics to evaluate success – batting average, runs scored, and RBI’s. While these statistics serve a purpose, they do not demonstrate the full offensive ability of a ballplayer. For example – a player who has 30 singles in 100 at bats is not as valuable as a player who has 30 doubles in 100 at bats. The doubles equate to more runs for the team – the ultimate offensive goal. This is where the metrics that involve the Linear Weights Theory come into play. This theory provides values to each offensive event. These metrics are Weighted On Base Average or wOBA, Weighted Runs Above Average or wRAA, and Weighted Runs Created or wRC.

wOBA provides a batting average type statistic. These offensive weights are derived from the amount of runs that single offensive event produces. For example the following linear weights were derived from the 2008 MLB season according to the book Beyond Batting Average by Lee Panas.

1B 2B 3B HR BB HBP SB CS.47 .77 1.04 1.4 .31 .34 .42 .2

wOBA is calculated as follows

wOBA = (.71*BB)+(.74*HBP)+(.89*1B)+(1.26 *2B)+(1.58*3B)+(2.02*HR)+(.24*SB)-(.51*CS)/PA

PA = Plate Appearances

wOBA is scaled to mimic On Base Percentage (OBP)

Since wOBA is relative to the specific league and year, and depends on the sum of offensive events, these weights are not universal. Therefore, when calculating

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wOBA myself, I used a Markov Theory linear weights calculator developed by famed author Tom Tango. The Markov theory states that “the probability distribution of the next state depends only on the current state and not on the sequence of events that preceded it”. This essentially assumes that the idea of momentum in baseball is nonexistent. This calculator did not have separate entries for BB and HBP so I combined the two. It also did not have weights for SB or CS and assumed no base advancement. Therefore I used the .24 weighted value for SB and -.51 weighted value for CS across the board to account for good/bad base running. Since the way the weights were scaled to mimic OBP was left unexplained, I used the exact weights the calculator computed, and then just added .2 to the total wOBA – that seemed to scale it to imitate OBP.

Below are the linear weights for the NECBL from 2010-2015

Year Markov BB/HBP Markov 1B Markov 2B Markov 3B Markov HR Markov K2010 0.384 0.506 0.811 1.121 1.547 -0.2822011 0.385 0.504 0.801 1.105 1.532 -0.2822012 0.427 0.546 0.831 1.113 1.52 -0.3582013 0.383 0.505 0.812 1.121 1.551 -0.2712014 0.379 0.499 0.802 1.114 1.541 -0.2672015 0.382 0.5 0.8 1.109 1.536 -0.275Total 0.390 0.511 0.811 1.115 1.539 -0.289

wOBA can then be easily converted to wRAA. This is a run estimator that provides the number of runs a player contributes to his team above/below what the average player would contribute. The calculation is as follows.

wRAA=((wOBA−League Average wOBA)1.2 )∗PA

The 1.2 is a wOBA scale. This scales’ calculation was left unexplained in the book Beyond Batting Average, but it was stated that it is usually approximately 1.2 – so that is what I used across the board.

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The wRC statistic is based on the player’s wRAA and the league average for runs scored per plate appearance. The calculation is as follows

wRC=(((wOBA−League Average wOBA)1.2 )+ League Runs

League PA )∗PA

This measure is a value statistic and has shows how many runs a player is worth to his team.

Comparing Hitters in Different Environments (League Averages)Now that we’ve determined the best offensive metrics for determining production (OPS and wRC), we can now move into converting those metrics so that we are able to compare players across different run scoring environments.

Let’s say you are trying to compare Player A, who played in the NECBL in 2015 and Player B who played in the NECBL in 2012. You cannot simply compare their wOBAs or their OPS. These two seasons had drastic differences in offensive environments. Below are the total statistics and league averages for the NECBL from 2010-2015.

Offense as a whole was way up during the 2012 season. Apparently the league instituted a different type of baseball and it was reported that it increased the offense. However, the stats for that year were actually so inflated that I doubt the baseball was the entire cause. It could have attributed to the spike slightly, but it is

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Year G PA AB H 1B 2B 3B HR TB SB CS K BB HBP SF SH R2010 252 19289 16744 4192 3227 719 73 173 5576 683 225 3545 1841 350 135 219 22042011 252 19040 16570 4182 3122 680 89 291 5913 671 250 3702 1754 404 125 187 22572012 206 16165 13998 3904 2694 716 43 451 6059 497 151 3241 1575 337 123 132 25052013 287 21734 18840 4727 3678 795 39 215 6245 814 267 4332 2028 430 159 277 24352014 252 19303 16730 4119 3158 686 53 222 5577 669 250 3367 1829 380 138 226 21292015 251 19326 16789 4194 3222 683 44 245 5700 648 269 3582 1815 371 139 212 2245

Total 1500 114857 99671 25318 19101 4279 341 1597 35070 3982 1412 21769 10842 2272 819 1253 13775

Year R/PA wOBA BABIP AVG OBP SLG OPS ISO K% BB% RC RC/PA2010 0.1143 0.327 0.305 0.250 0.335 0.333 0.668 0.083 21.17% 10.99% 2134 0.11062011 0.1185 0.330 0.306 0.252 0.336 0.357 0.693 0.104 22.34% 10.59% 2234 0.11732012 0.1550 0.355 0.331 0.279 0.363 0.433 0.796 0.154 23.15% 11.25% 2435 0.15062013 0.1120 0.325 0.312 0.251 0.335 0.331 0.666 0.081 22.99% 10.76% 2398 0.11032014 0.1103 0.329 0.293 0.246 0.332 0.333 0.665 0.087 20.13% 10.93% 2106 0.10912015 0.1162 0.327 0.301 0.250 0.334 0.340 0.673 0.090 21.34% 10.81% 2146 0.1111Total 0.1199 0.332 0.308 0.254 0.338 0.352 0.690 0.098 21.84% 10.88% 13417 0.1168

more likely that during that year the league just simply had poor pitchers and superior hitters.

So you can tell that if you went to compare a player that played during 2012 to a player that played during 2015, the basis of doing so would not be equal. A player with a wOBA of .350 in 2012 and a player with a wOBA of .350 in 2015 would not be equivalent.

This is the same when comparing players across collegiate conferences or across different levels of baseball. Analyzing their numbers relative to their respective league averages would be the only way to compare players across different run scoring environments.

Park FactorsComparing players over different environments can become more accurate by implementing park factors. Park factors are a way of evening out the playing field. As we know, some stadiums are hitter friendly and some are pitcher friendly. By implementing park factors we give a little boost to players who play in stadiums that generally suppress runs and slightly punish players who play in stadiums that tend to produce more runs.

The chart below shows the park factors for all NECBL Parks. All factors below 100 are pitcher friendly parks and factors above 100 are hitter friendly parks.

There are complex ways to calculate park factors, but the simplest way is to take the total number of runs per game in that particular park and divide it by the total number of runs per game in all other parks. For example – Over the past 6 years, Rogers Park has averaged 10.817 runs per game. In that same period, all other parks averaged 9.131 runs per game. 10.817/9.131 = 1.184. We call this 1.184 the initial park factor, or iPF. Then we apply regression to this factor. I used weights found on a blog site where the blogger cited the source of the weights as being from

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Park Team Years worth of data PF - RRogers Park Danbury 6 117Alumni Field Keene 6 112

Robbie Mills Field Laconia 6 110Cardines Field Newport 6 108

Mackenzie Stadium Valley 6 99Montpelier Recreation Field Vermont 6 99

Old Mountain Field Ocean State 3 96Fitsch Senior High Mystic 5 94

Joe Wolfe Field North Adams 6 94Forges Field Plymouth 3 90

Paul Walsh Field New Bedford 6 89Goodall Park Sanford 5 86

baseballboards.com. These weights do seem arbitrary, but they fit because they’re based on the number of years worth of data you are using. The final park factor formula is as follows

1-(1-iPF)*XX = .6 for 1 yearX = .7 for 2 yearsX = .8 for 3 years

X = .9 for 4+ years

The final formula for Rogers Park is below.1-(1-1.184)*.9 = 1.166

That 1.166 gets rounded to 1.17 and put in better reading terms where 1 = 100. So the final PF is 117.

wRC+ and OPS+The wRC+ and OPS+ metrics are used to do just what was explained above – compare players across various run scoring environments. These statistics make everything relative by incorporating park factors and league averages. While wRC and OPS are value statistics, wRC+ and OPS+ are considered rate statistics in which the league average will always be 100. Everything above 100 is above league average and everything below 100 is below league average. These metrics are calculated as follows.

wRC+¿((wRAAPA

+ LeagueRunsPA )+( LeagueRuns

PA−( ParkFactor∗LeagueRuns

PA ))LeaguewRC

PA)∗100

OPS+¿( 100∗( OBPLeagueOBP

+ SLGLeagueSLG )−1

Park Factor )

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By calculating these metrics, one can now compare players over different time periods and different league because they are relative to their specific league averages.

After calculating both of these metrics, I scaled them to make sure the league average is 100.

League Findings – Offense

I have calculated all NECBL players’ wRC+ and OPS+ from 2010-2015. As a result we can see some trends on the surface.

Frosh Soph Junior Senior80

90

100

110

120

92 94

100

105

Average wRC+

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90

100

110

120

9095

99

105

Average OPS+

Total

The charts above show and prove that the older a player is, and the more collegiate experience a hitter has coming into the NECBL season, the better they perform offensively.

Then we can look at what level players come from and which perform the best offensively in the NECBL.

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NCAA D-I NCAA D-II NCAA D-III NJCAA80

90

100

110

120

101104

93

87

101

96

89 87

NECBL 2010-2015

Average of wRC+Average of OPS+

The only interesting part of this is that in terms of wRC+, Division II players seem to outperform Division I players. I think that this is the case only because there are far more Division I players than Division II players that have played in this league. This chart shows data from 695 Division I players and only 61 Division II players. If there were more data available for Division II players, I’d imagine their wRC+ would decrease – probably to below league average

However, we can only interpret the data we have available.

The charts below show the overall offensive production by team in the NECBL over the past 6 years.

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Danbu

ryKe

ene

Laco

niaMys

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New Bed

ford

Newpo

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North A

dams

Ocean

State

Plymou

th

Sanfo

rdVall

ey

Verm

ont75

80859095

100105110115120125

8582

94

10498

104 105110 112

117

91

106

NECBL Teams wRC+, 2010-2015

Total

Below are the Standard Deviation values for each team’s average wRC+. As you can see, while Newport’s and Mystic’s average wRC+ are the same at 104, Newport has a lower standard deviation. You can interpret this as while their averages are the same (above average offensive production at the same rate), Newport has been more consistent offensively than Mystic.

Team St Dev wRC+Newport 23.61Plymouth 24.66

Valley 24.84North Adams 25.43

Sanford 26.31Laconia 27.24Danbury 28.90Mystic 29.15Keene 29.60

Ocean State 29.89Vermont 30.50

New Bedford 32.60

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Danbu

ryKe

ene

Laco

niaMys

tic

New Be

dford

Newpo

rt

North A

dams

Ocean

State

Plymou

th

Sanfo

rdVa

lley

Verm

ont

7580859095

100105110115120125

93 9499 98

86

114

92

114

106 104 101 99

NECBL Teams OPS+, 2010-2015

Total

You can make the same interpretation when looking at the OPS+ standard deviation values. While Newport and Ocean State have both been tops in the league in OPS+ over the past 6 seasons, Newport has been much more consistent than Ocean State.

Team St Dev OPS+Danbury 34.73North Adams 36.26Keene 36.95Newport 37.59Laconia 37.84Valley 39.72Plymouth 42.31Sanford 44.02Vermont 45.28Ocean State 47.03New Bedford 47.80Mystic 48.98

One thing you might also notice is that the standard deviations for OPS+ are higher than the values for wRC+. This indicates the volatility of wRC+ is not as drastic as OPS+ as a general statistic.

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Collegiate Conference Findings - OffenseThe way teams in the NECBL acquire players, or decide on which players they want to sign, is highly statistical. Most decisions are based on recommendations from collegiate coaches and a statistical review of the players’ performances in their spring seasons. Having a more advanced statistical look at which conferences produce the best players is a valuable advantage in a league such as this one.

Below is a chart of the average wRC+ in the NECBL by the represented conference.

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Conference Level # of Players Average wRC+Sun Belt NCAA D-I 7 129

Ivy NCAA D-I 68 117Sunshine State NCAA D-II 13 115

WCC NCAA D-I 8 115Patriot NCAA D-I 12 112

America East NCAA D-I 39 111AAC NCAA D-I 8 109

Big West NCAA D-I 11 109Big Ten NCAA D-I 25 108MAAC NCAA D-I 43 108

Ohio Valley NCAA D-I 12 106Big East NCAA D-I 15 102

Conference USA NCAA D-I 25 102Northeast NCAA D-I 30 102Atlantic 10 NCAA D-I 42 101

Atlantic Sun NCAA D-I 14 101ACC NCAA D-I 71 99CAA NCAA D-I 20 99

Northeast 10 NCAA D-II 29 98Pac 12 NCAA D-I 58 98Big 12 NCAA D-I 19 97MWC NCAA D-I 7 96SEC NCAA D-I 59 95

Southern NCAA D-I 10 93Little East NCAA D-III 8 91

MAC NCAA D-I 11 87NJCAA NJCAA 35 87

Conference Standard Deviation-wRC+AAC 12.4

Atlantic Sun 15.3Big East 22.2

America East 24.4CAA 25.2

Big Ten 25.4Sun Belt 25.5Pac 12 26.2

Northeast 10 26.3MWC 26.4Big 12 26.5NJCAA 26.5

Sunshine State 27.4MAAC 27.5WCC 28.8MAC 29.1

Southern 29.5Northeast 30

ACC 30.2Ivy 30.3

Atlantic 10 31.7Conference USA 31.8

Ohio Valley 32.5Big West 32.8

SEC 33.3Patriot 34

Little East 57

Obviously some of these numbers have to be taken with a grain of salt and that is why I included the number of players that were analyzed from each conference. You can assume that as more players from the Sun Belt play in the NECBL, their wRC+ will regress back towards league average.

However, some of the conferences with a large amount of data are where some of the more interesting findings come to fruition. The more players analyzed in the conference, the stronger, more valid, and more representative of the true talent level the wRC+ statistic actually is.

Take a look at the Ivy League for example. There is a lot of data here – 68 Ivy League position players have played in the league over the past 6 years. Actually – probably more have played in the league during this time, but 68 of them met the criteria for minimum number of at bats (which I set at 50). The average Ivy League position player in the NECBL boasts a wRC+ of 117.

Some other strong sets of data include the America East Conference, the MAAC, and even the Big Ten as generally representing above average players in the NECBL. You can also conclude that players from NJCAA are likely to be below average offensive performers in the summer league.

Looking at the standard deviations for these conferences’ wRC+ is valuable as it shows how consistent and how much volatility these numbers have.

As we look at the strong data sets that I mentioned before, we see that the America East Conference and the Big Ten are far more consistent and less volatile than the Ivy League.

Below is the same analysis for the OPS+ statistic.

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You can generally see the same conferences stand out with this statistic too.

While this data has some substance to it, it does tell us limited information. For example, just looking at this data would you recommend taking every single player from the Ivy League that becomes available? That’s just not a reasonable conclusion. What if every player the NECBL received from the Ivy League over the years were just very good players? In order to take this analysis further, I had to calculate each of these players’ wRC+ and OPS+ from their collegiate seasons prior to their NECBL season. This gave a snap shot of what type of player each conference was sending to the NECBL prior to their summer performance. One thing to note that when calculating these metrics I could not include Park Factors since there was just not enough information for me to do so. So these metrics are solely based on league averages and the linear weights derived from their respective conferences’ year.

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Conference Level # of Players Average OPS+Sun Belt NCAA D-I 7 138

WCC NCAA D-I 8 124Ivy NCAA D-I 68 120

Sunshine State NCAA D-II 13 112AAC NCAA D-I 8 109

Ohio Valley NCAA D-I 12 109MAAC NCAA D-I 43 107Patriot NCAA D-I 12 107

America East NCAA D-I 39 106Big Ten NCAA D-I 25 105

Big West NCAA D-I 11 105Atlantic Sun NCAA D-I 14 104

Pac 12 NCAA D-I 58 104Northeast NCAA D-I 30 103

Big 12 NCAA D-I 19 102Southern NCAA D-I 10 101

SEC NCAA D-I 59 101Conference USA NCAA D-I 25 100

ACC NCAA D-I 71 98CAA NCAA D-I 20 97

Atlantic 10 NCAA D-I 42 96MAC NCAA D-I 11 93

Big East NCAA D-I 15 91Northeast 10 NCAA D-II 29 90

Little East NCAA D-III 8 90NJCAA NJCAA 35 87MWC NCAA D-I 7 74

Conference Standard Deviation-OPS+Southern 31.3Big East 34.4

Atlantic Sun 34.6NJCAA 35.3MAAC 35.8Big 12 35.9

Northeast 10 36America East 36.2

Pac 12 37AAC 37.3MAC 39CAA 39.3

Sun Belt 39.9Northeast 39.9Big West 40.6

SEC 41.1Sunshine State 41.5

Big Ten 42.2Atlantic 10 42.2

Ivy 45.8ACC 47.4

Ohio Valley 48Conference USA 51.6

WCC 57Patriot 59.4MWC 59.6

Little East 62.4

The results are below.

So to reiterate what you are looking at here, this is the average wRC+ of all NECBL players’ spring seasons with their respective colleges – sorted by conference. This tells us that – generally speaking – the players the NECBL receives from the SEC perform to an average wRC+ of 90 in the Spring prior to joining the NECBL. This makes sense when you think about it because above average players in bigger conferences, such as the SEC, ACC, and Pac 12, will normally play in the Cape Cod League, or get drafted.

On the other end of the spectrum, the Little East, a Division III conference, generally sends the NECBL their best offensive players – with an average wRC+ of 129.

It also makes sense that more conferences than not are above average because the better players usually play in summer leagues such as the NECBL while worse players may not be of interest to top summer league teams.

I also used a minimum of 50 at bats for a player to qualify for this analysis. As you can see, not many players from the bigger conferences qualified during their spring seasons. For example, out of 71 ACC players who had a minimum of 50 at bats in

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Conference Level # of Players Average wRC+Little East NCAA D-III 7 129

Northeast 10 NCAA D-II 19 121Ohio Valley NCAA D-I 11 120

MAAC NCAA D-I 36 118MAC NCAA D-I 11 118

Big East NCAA D-I 14 114Ivy NCAA D-I 24 112

America East NCAA D-I 35 112Sunshine State NCAA D-II 13 111

Northeast NCAA D-I 29 111Patriot League NCAA D-I 10 110

Atlantic Sun NCAA D-I 12 109Atlantic 10 NCAA D-I 39 109

CAA NCAA D-I 16 107Big West NCAA D-I 8 107Southern NCAA D-I 9 103Big Ten NCAA D-I 18 102Big 12 NCAA D-I 13 97

Conference USA NCAA D-I 15 95Pac 12 NCAA D-I 39 93

ACC NCAA D-I 42 92SEC NCAA D-I 26 90

Conference Standard Deviation-wRC+Ohio Valley 14

Big East 16.6Sunshine State 17

Pac 12 18.7Ivy 20

Conference USA 20.1ACC 20.6

Southern 21.3Big Ten 21.7

CAA 22.1Patriot League 22.5

Big West 22.9MAAC 23MAC 23.8

Atlantic Sun 24.1SEC 24.3

Big 12 25.6America East 26

Atlantic 10 27.3Little East 27.8

Northeast 10 28.2Northeast 28.4

the NECBL, only 42 of them qualified during their spring seasons. Many of them were bench players.

The OPS+ and standard deviation results are below.

Performance Improvement Rating – Hitters

Below is a chart representing what I call each conference’s Performance Improvement Rating (PIR). This simply represents the average wRC+/OPS+ from the NECBL season divided by the average wRC+/OPS+ of the spring season. This essentially tells us which conferences improve the most over these two seasons based on these two rate statistics. Any value greater than 1 shows improvement from spring to NECBL and any value less than 1 shows a decline in performance. This statistic in a way shows which conferences across the country match the talent

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Conference Level # of Players Average OPS+Ohio Valley NCAA D-I 11 139

MAAC NCAA D-I 36 135Little East NCAA D-III 7 133

MAC NCAA D-I 11 131Northeast 10 NCAA D-II 19 130

Big East NCAA D-I 14 126Northeast NCAA D-I 29 123

Patriot League NCAA D-I 10 122Ivy NCAA D-I 24 121

America East NCAA D-I 35 119Atlantic Sun NCAA D-I 12 117Atlantic 10 NCAA D-I 39 116Southern NCAA D-I 9 115

Sunshine State NCAA D-II 13 113CAA NCAA D-I 16 112

Big West NCAA D-I 8 111Big Ten NCAA D-I 18 107Big 12 NCAA D-I 13 104

Conference USA NCAA D-I 15 100Pac 12 NCAA D-I 39 93

SEC NCAA D-I 26 93ACC NCAA D-I 42 91

Conference Standard Deviation-OPS+Ohio Valley 25.1

Conference USA 26.6Sunshine State 27.2

ACC 28.1Ivy 29.4

Pac 12 29.5Big Ten 29.7

CAA 33.3Big 12 34.5

SEC 35.2Big East 35.3

Southern 38Atlantic Sun 38.6

MAAC 39Big West 39.4

MAC 40.6Patriot League 43.4America East 43.8

Atlantic 10 45.4Northeast 47

Northeast 10 49.5Little East 56.3

level of the NECBL as a whole. Any value close to 1 could potentially represent an even talent level. You can look at it as any value above 1 indicates a conference that has better offensive players than the NECBL has, and values below 1 indicates the conference has worse offensive players

Performance Improvement Rating

Conference wRC+ PIRACC 1.076

Conference USA 1.074Big Ten 1.059

SEC 1.056Pac 12 1.054

Ivy 1.045Sunshine State 1.036

Big West 1.019Patriot League 1.018

Big 12 1.000America East 0.991Atlantic Sun 0.927Atlantic 10 0.927

CAA 0.925Northeast 0.919

MAAC 0.915Southern 0.903Big East 0.895

Ohio Valley 0.883Northeast 10 0.810

MAC 0.737Little East 0.705

Performance Improvement RatingConference OPS+ PIR

Pac 12 1.118SEC 1.086ACC 1.077

Conference USA 1.000Ivy 0.992

Sunshine State 0.991Big Ten 0.981

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Big 12 0.981Big West 0.946

America East 0.891Atlantic Sun 0.889

Southern 0.878Patriot League 0.877

CAA 0.866Northeast 0.846Atlantic 10 0.837

MAAC 0.793Ohio Valley 0.784

Big East 0.722MAC 0.710

Northeast 10 0.692Little East 0.677

As you can see, players from the ACC, Pac 12, and SEC perform better in the NECBL than they did in their respective conferences. This stat is confirming that the offensive talent in those conferences is better than the offensive talent in the NECBL. Players from the Northeast 10 and Little East Conferences (Division II and Division III respectively) perform much worse than they do in their spring seasons – indicating those conferences maintain worse offensive talent than the NECBL.

Predicting Performance - HittersSo what does this all mean? Revisiting the question posed earlier, should an NECBL team take all players from the Ivy League that become available? Or has the Ivy League just sent the NECBL superb players over the years? Well that was somewhat answered by determining the average player the Ivy League sends to the NECBL has a wRC+ of 112 and then plays to an average wRC+ of 117 in the NECBL. So now we can take this analysis to the next level and try to see which conferences’ players performances correlate over these two seasons and if we can predict a player’s performance in the NECBL based on their performance in their respective conference with some statistical significance.

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To do this I ran regressions on all qualified players (min 50 AB’s in both spring and summer) and analyzed the results. The following conferences’ results are statistically insignificant for both wRC+ and OPS+ statistics

Big 12 Big East Big West CAA Conference USA MAAC Pac 12 SEC Southern

These conferences prove to have no predictive capabilities for wRC+ and OPS+.There are 3 conferences that proved to have a statistically significant relationship with a 99% confidence level – for both wRC+ and OPS+. Those conferences are below.

America East Conference Northeast 10 Conference Patriot League

The rest of the conferences that have statistically significant correlation are either of 90% or 95% confidence – I indicate the confidence level on each conference’s analysis page.Below are all analyses of the significant conferences – this includes a scatter plot, a regression analysis, and a prediction table. All scatter plots are set up as to show the relationship between players’ wRC+ in their spring season and wRC+ in their NECBL season. The graphs show the rate at which wRC+ increases in the NECBL as wRC+ increases in the spring. The X axis is the number of players analyzed (essentially Player #1, Player #2, etc) and the Y axis is the wRC+. The first conferences analyzed are the 99% confidence levels.

America East Conference Analysis – 99% confidence for wRC+ and OPS+

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0 5 10 15 20 25 30 35 40020406080

100120140160180200

America East wRC+

Spring wRC+Linear (Spring wRC+)NECBL wRC+Linear (NECBL wRC+)

# of Players

wR

C+

SUMMARY OUTPUT

Regression StatisticsMultiple R 0.475207708

R Square 0.225822365Adjusted R Square 0.202362437Standard Error 21.44415649Observations 35


Regression 1 4426.476951 4426.476951 9.625876188 0.003916319Residual 33 15175.11098 459.8518478Total 34 19601.58793

Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%

Intercept 61.42871876 16.27374467 3.774713196 0.000634685 28.31953645 94.53790108 28.31953645 94.53790108

Spring wRC+ 0.439393252 0.141622823 3.102559619 0.003916319 0.151259454 0.727527051 0.151259454 0.727527051

By using the formula y = mx + b, where y = the NECBL wRC+, we can now predict how a player will translate from the America East Conference to the NECBL. For example…

If a player from the America East Conference has a wRC+ of 100 in the spring…

Y = (100 * .439393252) + 61.42871876

Y = 105.37

Then he will translate to a wRC+ of 105.37 in the NECBL, and like mentioned before, we can state this with a 99% confidence level. The confidence level is based on whether the model is statistically significant. You can see this by looking at the P-value. If the P-value is less than .1 you can say you are 90% confident in the model.

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If it is less than .05 you can say you are 95% confident, and if it is less than .01, you can say you are 99% confident.

Looking at the R Squared is of secondary significance, but it still is useful to look at. What the R squared shows is how closely the data fits to the regression line. The closer the R squared is to 1, the more the model explains the variability of the data around the mean.

The chart below shows the expected NECBL wRC+ for America East Conference players.

America East wRC+ Expected NECBL wRC+50 83.4060 87.7970 92.1980 96.5890 100.97

100 105.37110 109.76120 114.16130 118.55

140 122.94150 127.34

Below is the same analysis for the America East in terms of OPS+.

0 5 10 15 20 25 30 35 400

20406080

100120140160180200

America East OPS+

Spring OPS+Linear (Spring OPS+)NECBL OPS+Linear (NECBL OPS+)

# of Players

OP

S+

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SUMMARY OUTPUT






Intercept 58.17510044 16.45617037 3.535154239 0.001231311 24.69477026 91.65543063 24.69477026 91.65543063

Spring OPS+ 0.397508998 0.129848181 3.061336683 0.00435928 0.13333089 0.661687106 0.13333089 0.661687106

America East OPS+ Expected NECBL OPS+50 78.0560 82.0370 86.0080 89.9890 93.95

100 97.93110 101.90

120 105.88130 109.85140 113.83150 117.80

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Northeast 10 Analysis – 99% confidence for wRC+ and OPS+

0 2 4 6 8 10 12 14 16 18 20020406080

100120140160180200

Northeast 10 wRC+


# of Players

wR

C+

SUMMARY OUTPUT





Coefficients Standard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%

Intercept 26.05768957 21.26776332 1.225220028 0.237197533 -18.8134 70.92875 -18.8134 70.92875

Spring wRC+0.608512094 0.171509247 3.54798417 0.0024728 0.246659 0.970365 0.246659 0.970365

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Northeast 10 wRC+ Expected NECBL wRC+50 56.48

60 62.5770 68.6580 74.7490 80.82

100 86.91110 92.99120 99.08130 105.16140 111.25150 117.33

0 2 4 6 8 10 12 14 16 18 200

50

100

150

200

250

Northeast 10 OPS+


# of Players

OP

S+

SUMMARY OUTPUT






Intercept 24.20419885 22.31680866 1.084572584 0.293253183 -22.8802 71.28855 -22.8802 71.28855

Spring OPS+ 0.499069765 0.160686184 3.105866062 0.006423 0.160052 0.838088 0.160052 0.838088

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Northeast 10 OPS+ Expected NECBL OPS+50 49.1660 54.15

70 59.1480 64.1390 69.12

100 74.11110 79.10120 84.09130 89.08140 94.07150 99.06

Patriot League Analysis – 99% confidence for wRC+ and OPS+

0 2 4 6 8 10 12020406080

100120140160180

Patriot League wRC+


# of Players

wR

C+


R Square 0.61644Adjusted R Square0.568493546Standard Error22.33090552Observations 10




Intercept -17.4 36.88265754 -0.471769507 0.649690638 -102.452 67.65145 -102.452 67.65145

Spring wRC+ 1.1849 0.330453518 3.585688491 0.007129 0.422876 1.946931 0.422876 1.946931

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Patriot League wRC+ Expected NECBL wRC+50 41.8560 53.6970 65.5480 77.3990 89.24

100 101.09110 112.94120 124.79130 136.64

140 148.49

150 160.34

0 2 4 6 8 10 12020406080

100120140160180200

Patriot League OPS+


# of Players

OP

S+






Intercept -34.249 33.40797258 -1.02517595 0.335277014 -111.288 42.78987 -111.288 42.78987

Spring OPS+ 1.15841 0.258885083 4.474620873 0.00207 0.561423 1.755403 0.561423 1.755403

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Patriot League OPS+ Expected NECBL OPS+50 23.6760 35.2670 46.8480 58.4290 70.01

100 81.59110 93.18120 104.76130 116.34140 127.93

150 139.51

ACC Analysis – 90% confidence for wRC+ and OPS+

0 5 10 15 20 25 30 35 40 450

20406080

100120140160180

ACC wRC+


# of Players

wR

C+

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SUMMARY OUTPUT





CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%

Intercept 66.853 18.27236 3.658677 0.000716177 29.95089 103.7545 29.95089 103.7545

X Variable 1 0.3746 0.193143 1.939436 0.059350128 -0.01547 0.76465 -0.01547 0.76465

ACC wRC+ Expected NECBL wRC+50 85.5860 89.33

70 93.0780 96.8290 100.57

100 104.31110 108.06120 111.80130 115.55140 119.30150 123.04

0 5 10 15 20 25 30 35 40 450

50

100

150

200

250ACC OPS+

Spring OPS+

Linear (Spring OPS+)

NECBL OPS+

Linear (NECBL OPS+)

# of Players

OP

S+

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SUMMARY OUTPUT





CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%

Intercept 57.071 22.45637 2.541439 0.014917557 11.71993 102.423 11.71993 102.423

Spring ERA 0.4591 0.234924 1.954312 0.057507727 -0.01532 0.933555 -0.01532 0.933555

ACC OPS+ Expected NECBL OPS+50 80.0360 84.62

70 89.2180 93.8090 98.39

100 102.98110 107.57120 112.17130 116.76140 121.35150 125.94

Atlantic 10 Analysis – 90% confidence for wRC+ and 95% confidence for OPS+

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0 5 10 15 20 25 30 35 400

50

100

150

200

Atlantic 10 wRC+

Spring wRC+

Linear (Spring wRC+)

NECBL wRC+

Linear (NECBL wRC+)

# of Players

wR

C+

SUMMARY OUTPUT






Intercept 59.241 20.75949348 2.853674946 0.007038245 17.17811754 101.3035753 17.17811754 101.3035753

Spring wRC+ 0.3693 0.185598663 1.989539023 0.0541 -0.006802826 0.74531439 -0.006802826 0.74531439

Atlantic 10 wRC+ Expected NECBL wRC+50 77.70

60 81.4070 85.0980 88.7890 92.47

100 96.17110 99.86120 103.55130 107.24140 110.94150 114.63

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0 5 10 15 20 25 30 35 400

50

100

150

200

250

Atlantic 10 OPS+


# of Players

OP

S+

SUMMARY OUTPUT






Intercept 56.417 18.35423712 3.073767488 0.003956585 19.22744069 93.60587395 19.22744069 93.60587395

Spring OPS+ 0.3454 0.147398325 2.342985836 0.0246 0.046694815 0.644009562 0.046694815 0.644009562

Atlantic 10 OPS+ Expected NECBL OPS+50 73.6860 77.14

70 80.5980 84.0490 87.50

100 90.95110 94.41120 97.86130 101.31140 104.77150 108.22

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Atlantic Sun Analysis – 90% confidence for OPS+

0 2 4 6 8 10 12 14020406080

100120140160180200

Atlantic Sun OPS+


# of Players

OP

S+

SUMMARY OUTPUT






Intercept 56.0138 28.24289665 1.983286399 0.075459011 -6.915342256 118.9428478 -6.915342256 118.9428478

Spring OPS+ 0.46327 0.230765859 2.007528594 0.072473 -0.050909314 0.977447436 -0.050909314 0.977447436

Atlantic Sun OPS+ Expected NECBL OPS+

50 79.1860 83.8170 88.4480 93.0890 97.71

100 102.34110 106.97120 111.61130 116.24140 120.87150 125.50

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Big Ten Analysis – 90% confidence for wRC+

0 2 4 6 8 10 12 14 16 18 20020406080

100120140160180

Big Ten wRC+

Spring wRC+

Linear (Spring wRC+)

NECBL wRC+

Linear (NECBL wRC+)

# of Players

wR

C+

SUMMARY OUTPUT






Intercept 54.328 27.43772312 1.9800333 0.065165865 -3.83777 112.493 -3.83777 112.493

Spring wRC+ 0.5138 0.264212888 1.944775249 0.0696 -0.04627 1.073941 -0.04627 1.073941

Big 10 wRC+ Expected NECBL wRC+50 80.02

60 85.1670 90.3080 95.4390 100.57

100 105.71110 110.85120 115.99130 121.13140 126.26150 131.40

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Ivy League Analysis – 95% confidence for wRC+

0 5 10 15 20 25020406080

100120140160180

Ivy League wRC+


# of Players

wR

C+

SUMMARY OUTPUT






Intercept 38.299 28.20544029 1.357851577 0.188275616 -20.1957 96.7933 -20.1957 96.7933

Spring wRC+ 0.6634 0.248594379 2.668490963 0.014035 0.147819 1.178925 0.147819 1.178925

Ivy League wRC+ Expected NECBL wRC+50 71.4760 78.1070 84.7380 91.3790 98.00

100 104.64110 111.27120 117.90130 124.54140 131.17150 137.80

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MAC Analysis – 95% confidence for OPS+

0 2 4 6 8 10 120

50

100

150

200

250

MAC OPS+


# of Players

OP

S+

SUMMARY OUTPUT






Intercept 8.6126 32.73573416 0.263095481 0.79840103 -65.4408 82.666 -65.4408 82.666

Spring OPS+ 0.6404 0.238843795 2.681361116 0.0251 0.100124 1.180729 0.100124 1.180729

MAC OPS+ Expected NECBL OPS+50 40.6360 47.0470 53.4480 59.8590 66.25

100 72.66110 79.06120 85.46130 91.87

140 98.27

150 104.68

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Ohio Valley Analysis – 95% confidence for wRC+ and 90% confidence for OPS+

0 2 4 6 8 10 12020406080

100120140160180

Ohio Valley wRC+


# of Players

wR

C+

SUMMARY OUTPUT






Intercept -54.51 59.97828828 -0.908908852 0.387090126 -190.195 81.16552 -190.195 81.16552

Spring wRC+ 1.3779 0.495340966 2.781660193 0.02134 0.257331 2.498409 0.257331 2.498409

Ohio Valley wRC+ Expected NECBL wRC+50 14.3860 28.1670 41.9480 55.7190 69.49

100 83.27110 97.05120 110.83130 124.61

140 138.39

150 152.17

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0 2 4 6 8 10 12020406080

100120140160180200

Ohio Valley OPS+


# of Players

OP

S+

SUMMARY OUTPUT






Intercept 0.9138 61.65121189 0.014822593 0.988497101 -138.551 140.3786 -138.551 140.3786

Spring OPS+ 0.8400 0.437091266 1.921813891 0.0868 -0.14876 1.828777 -0.14876 1.828777

Ohio Valley OPS+ Expected NECBL OPS+50 42.9160 51.3170 59.7180 68.1190 76.51

100 84.91110 93.31120 101.71

130 110.11

140 118.51150 126.92

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Sunshine State Analysis – 90% confidence for OPS+

0 2 4 6 8 10 12 140

50

100

150

200

250

Sunshine State OPS+


# of Players

OP

S+

SUMMARY OUTPUT






Intercept 29.3346 46.98710443 0.624312167 0.545153163 -74.0833 132.7525 -74.0833 132.7525

Spring OPS+ 0.73175 0.403553551 1.813259173 0.09714 -0.15647 1.619963 -0.15647 1.619963

Sunshine State OPS+ Expected NECBL OPS+

50 65.9260 73.2470 80.5680 87.8790 95.19

100 102.51110 109.83120 117.14130 124.46140 131.78150 139.10

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ERA- and FIP-ERA- and FIP- are the wRC+ and OPS+ versions for pitchers. Pitching metrics are naturally limited outside of MLB because there’s no readily available information for GB%, LD%, and FB%. These percentages are usually useful metrics to look at when evaluating a pitcher.

You may have seen ERA+ before and not ERA-. ERA+ is shown a lot on the MLB network and is used by baseballreference.com. There is a slight difference between the two. In its most simple explanation, ERA- takes a pitcher’s ERA and compares it to league average – with 100 being league average. Anything greater than 100 is below league average and anything less than 100 is above league average. ERA+ tells you almost the same thing – just inverted. However there is one main difference in how the statistics actually read. While ERA- tells you how much better/worse the player is than the league, ERA+ tells you how much better/worse the league is than the player.

I feel that ERA- is superior not only for the reason mentioned above, but also simply because it’s easier to read for the average Joe. The average baseball fan knows that the lower a pitcher’s ERA is the better. So by using ERA- it reads the same way. Anything that can be done to make advanced statistics easier to read for the average fan will progress the usage of these metrics.

FIP- is the same as ERA- but it’s calculated using a player’s Fielding Independent Pitching (FIP) instead of his Earned Run Average (ERA). FIP is a metric that estimates a pitcher’s run prevention based on events that are independent from his defense’s ability.

ERA is calculated as follows

ERA= Earned Runs∗9IP

FIP is calculated as follows

FIP=¿

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The FIP constant scales the stat to match the league average ERA. The FIP constant is calculate as follows

FIP Constant=League ERA−¿¿

Below are the league average FIP’s and FIP constants for the NECBL from 2010-2015 (League average ERA=League average FIP)

Year FIP FIP Constants2010 3.44 3.052011 3.71 3.052012 5.23 3.792013 3.50 3.202014 3.39 2.762015 3.65 3.07

ERA- is calculated as follows

ERA−¿( ERA+(ERA−( ERA∗ParkFactor ))League ERA )∗100

FIP- is calculated the same way using FIP

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League Findings – Pitching

Below are the ERA- and FIP- averages for NECBL pitchers by year and level from which they play.


85

90

95

100

105

110

115

120

91

104 103

94

Average ERA-, NECBL 2010-2015

Total


85

90

95

100

105

110

115

120

9397

93 92

Average FIP-, NECBL 2010-2015

Total

While there is a clear improvement in offensive production in the NECBL as the player gets older, pitching on the other hand isn’t as clear.

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85

90

95

100

105

110

115

120

98

106103

109

Average ERA-, NECBL 2010-2015

Total


85

90

95

100

105

110

115

120

92

10095

101

Average FIP-, NECBL 2010-2015

Total

It is interesting that Division III pitchers have outperformed Division II pitchers. However, as more data becomes available in the coming years, I would expect the Division III averages to worsen.

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Below are the average ERA- and FIP- metrics for every team in the NECBL from 2010-2015

Danbu

ry

Keen

e

Laco

nia

Mystic

New B

edfor

d

Newpo

rt

North A

dams

Ocean

Stat

e

Plym

outh

Sanf

ord

Valle

y

Verm

ont60

708090

100110120130140

10089

106 105114

72

100 100109 106

95 98

ERA-, NECBL 2010-2015

Total

Danbu

ry

Keen

e

Laco

nia

Mystic

New Be

dford

Newpo

rt

North A

dams

Ocean

State

Plym

outh

Sanf

ord

Valle

y

Verm

ont60

708090

100110120130140

90 8995

106 104

79

99 96105

8882

93

FIP-, NECBL 2010-2015

Total

You can see on the surface that the FIP- values are generally lower than the ERA- values. The team that stands out to me is Newport. They have clearly been the best pitching team over the past 6 years as a whole in the NECBL. But even they

48 | P a g e

needed to get a little on the lucky side to get there, as there ERA- is 72 and their FIP- is higher, at 79.

Collegiate Conference Findings - PitchersBelow is a chart of average ERA- in the NECBL by each conference

As you can see, all of the conferences that aren’t Division I are below average, besides the Sunshine State Conference – with an average ERA- of 88.

You can see from the standard deviation values that the Pac 12 is really all over the place; so despite their average ERA- being around league average (101), they have had some really good performers and some really bad performers.

On the other hand, the Northeast conference – with an average ERA- of 76 and a low standard deviation of 37.9 - means they have been on the consistent side of performing well above league average.

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Conferences Level # of Players Average ERA-Sun Belt NCAA D-I 9 67

Atlantic Sun NCAA D-I 17 69Northeast NCAA D-I 29 76Southern NCAA D-I 8 80

MAC NCAA D-I 9 82Big 12 NCAA D-I 7 85

Sunshine State NCAA D-II 11 88Ivy NCAA D-I 31 94

MAAC NCAA D-I 42 95ACC NCAA D-I 55 98

Atlantic 10 NCAA D-I 42 99Patriot NCAA D-I 12 99

SEC NCAA D-I 40 99Pac 12 NCAA D-I 36 101

Northeast 10 NCAA D-II 57 102Big East NCAA D-I 14 106NJCAA NJCAA 29 109

ECC NCAA D-II 10 110Little East NCAA D-III 11 110

Conference USA NCAA D-I 9 111America East NCAA D-I 34 112

Big Ten NCAA D-I 21 115NESCAC NCAA D-III 10 118

CAA NCAA D-I 17 120

Conferences Standard Deviation- ERA-Atlantic Sun 22.5

Southern 29.2Big 12 29.9MAC 37.5

Northeast 37.9Patriot 39.7

Sun Belt 42.1Big East 43.3

Atlantic 10 43.5MAAC 44.4

Ivy 44.9America East 48.9Northeast 10 50.6

ACC 53Little East 54.8

NJCAA 56.9SEC 58.7CAA 60.7

Conference USA 63Big Ten 64.4

ECC 65.2Sunshine State 66.7

NESCAC 69.2Pac 12 100.9

Below is the average FIP- for the NECBL from each conference.

You can see that most conferences analyzed have performed above average in terms of FIP. I would assume that most of the small conferences (not division I) that weren’t analyzed because they didn’t have enough players to evaluate, have performed below average. However this does have some value when comparing conference to conference.Now by looking at the standard deviation, even though most conferences performed above average, we can see which have been more consistent over the past 6 yearsThe Big East, Atlantic Sun, and the Ivy Leagues have been the most consistent conferences when considering the amount of players analyzed.Like mentioned before, this information is limited in a sense. What if all Big East players were just tremendous players? How did they perform prior to joining the NECBL and performing above league average? That is where the information gets more valuable. It is not only important to look at which conferences have performed the best in the NECBL, but what type of players each respective conference sends to the NECBL. So just like the hitters, here is how the pitchers

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Conferences Level # of Players Average FIP-Big 12 NCAA D-I 7 63MAC NCAA D-I 9 75

Southern NCAA D-I 8 78Big East NCAA D-I 14 83

Atlantic Sun NCAA D-I 17 84Sun Belt NCAA D-I 9 85

Atlantic 10 NCAA D-I 42 90MAAC NCAA D-I 42 90

Ivy NCAA D-I 31 90Conference USA NCAA D-I 9 90

Big Ten NCAA D-I 21 90SEC NCAA D-I 40 91

NESCAC NCAA D-III 10 91Northeast NCAA D-I 29 92

Sunshine State NCAA D-II 11 93ACC NCAA D-I 55 96

Little East NCAA D-III 11 96Pac 12 NCAA D-I 36 96Patriot NCAA D-I 12 97

ECC NCAA D-II 10 97Northeast 10 NCAA D-II 57 98

NJCAA NJCAA 29 101America East NCAA D-I 34 102

CAA NCAA D-I 17 103

Conferences Standard Deviation- FIP-Southern 17.1

Big 12 19Atlantic Sun 19.5

Big East 23.6Sun Belt 26.1

Ivy 26.5Patriot 28.4

America East 28.4Atlantic 10 28.7Northeast 29.3

Northeast 10 29.8CAA 30.2ACC 30.7MAC 32.1SEC 34.6

MAAC 35Conference USA 35.7

ECC 35.9Pac 12 36.6NJCAA 37Big Ten 37.9

Little East 38.6Sunshine State 40.3

NESCAC 44

performed in their respective spring seasons just prior to their NECBL appearance. Again, I could not include Park Factors in this data so it is all based upon league averages.Below is the average ERA- from each conference for their performance in the spring prior to the NECBL.

So to put context to what you are looking at here – the average ECC player that plays in the NECBL, has an ERA- of 63 during the spring prior to the NECBL. Just like the data for the hitters, it makes sense that the smaller conferences are towards the top, meaning the NECBL gets the cream of the crop from the smaller, Division II/Division III schools, and middle/bottom of the pack from the bigger conferences.

At first glance you can see that not only has the NECBL gotten the best of the best talent from the smaller conferences (NESCAC, Northeast10, ECC), but they have been consistently the best talent as well.

On the other hand, despite receiving poor talent from the Pac 12, with an average ERA- of 141, there is a high standard deviation, showing that some better talent has been received as well.

51 | P a g e

Conferences Level # of Players Average ERA-ECC NCAA D-II 10 63

Northeast 10 NCAA D-II 36 70NESCAC NCAA D-III 10 75

Northeast NCAA D-I 27 84MAAC NCAA D-I 37 91

Sun Belt NCAA D-I 8 92CAA NCAA D-I 15 93

Atlantic 10 NCAA D-I 34 98Big East NCAA D-I 12 98

Ivy NCAA D-I 23 99America East NCAA D-I 24 103

MAC NCAA D-I 8 104SEC NCAA D-I 13 104

Big Ten NCAA D-I 19 106ACC NCAA D-I 36 109

Atlantic Sun NCAA D-I 14 112Sunshine State NCAA D-II 9 114

Southern NCAA D-I 8 121Patriot League NCAA D-I 9 133

Pac 12 NCAA D-I 23 141

Conferences Standard Deviation- ERA-NESCAC 18.5

Northeast 28.8Northeast 10 28.8

ECC 30.2MAAC 31

Southern 33.5Atlantic 10 35.3

Atlantic Sun 37.3Big Ten 37.6

CAA 39.2Ivy 43.5

Big East 43.7SEC 44.7

Sunshine State 47.2MAC 47.4

America East 47.6Patriot League 47.8

ACC 48.8Sun Belt 54Pac 12 70.2

Here are the same tables for FIP-, conference averages for spring seasons prior to the NECBL.

Again, same deal here. The smaller conferences are towards the top and the bigger conferences are towards the bottom.

The Pac 12 has been inconsistent while the smaller conferences have consistently sent the NECBL top talent.

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Conferences Level # of Players Average FIP-ECC NCAA D-II 10 85

Northeast 10 NCAA D-II 36 89NESCAC NCAA D-III 10 92Sun Belt NCAA D-I 8 92MAAC NCAA D-I 37 96

Sunshine State NCAA D-II 9 97Northeast NCAA D-I 27 98

MAC NCAA D-I 8 98Atlantic 10 NCAA D-I 34 102

Ivy NCAA D-I 23 102Big Ten NCAA D-I 19 103

CAA NCAA D-I 15 103SEC NCAA D-I 13 104ACC NCAA D-I 36 105

Big East NCAA D-I 12 108America East NCAA D-I 24 108

Southern NCAA D-I 8 114Atlantic Sun NCAA D-I 14 115

Patriot League NCAA D-I 9 115Pac 12 NCAA D-I 23 132

Conferences Standard Deviation- FIP-Sun Belt 12.4NESCAC 13.4

ECC 14.3MAAC 14.6

Northeast 16.3Northeast 10 19.9

ACC 20.6Patriot League 20.9

Atlantic 10 21.4SEC 22.9Ivy 23

MAC 23.1Southern 23.5

CAA 23.8Sunshine State 24.2America East 24.6

Big East 27Atlantic Sun 28.8

Big Ten 28.8Pac 12 40.1

Performance Improvement Rating - Pitching

Below is the aforementioned Performance Improvement Rating (PIR) for each conference. Since it is better to have a lower ERA-/FIP-, I inverted the formula so that it read the same way as the hitters. It still reads that any value greater than 1 shows improvement from spring season to NECBL season and any value less than 1 shows a worse performance.

Conferences ERA- PIRAtlantic Sun 1.623

Southern 1.513Pac 12 1.396

Sun Belt 1.373Patriot League 1.343Sunshine State 1.295

MAC 1.268ACC 1.112

Northeast 1.105Ivy 1.053SEC 1.051

Atlantic 10 0.990MAAC 0.958

Big East 0.925Big Ten 0.922

America East 0.920CAA 0.775

Northeast 10 0.686NESCAC 0.636

ECC 0.573

As you can see, the smaller conferences generally come to the NECBL and perform worse than they had in their respective spring seasons.

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Below is the PIR chart for each conference’s FIP-

Conferences FIP- PIRSouthern 1.462

Pac 12 1.375Atlantic Sun 1.369

MAC 1.307Big East 1.301

Patriot League 1.186Big Ten 1.144

SEC 1.143Ivy 1.133

Atlantic 10 1.133ACC 1.094

Sun Belt 1.082MAAC 1.067

Northeast 1.065America East 1.059

Sunshine State 1.043NESCAC 1.011

CAA 1.000Northeast 10 0.908

ECC 0.876

Most conferences improve in FIP- because most of the conferences analyzed were above average in FIP- to begin with - in the NECBL.

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Predicting Performance – Pitchers

Just like I did for the hitters, I ran regressions for all conferences ERA- and FIP- to see if there were any positive and statistically significant correlations that could help us predict NECBL performances.Just like I had set a minimum of 50 ab’s for all hitters analyzed, I had to set a minimum for pitchers as well. This requirement was either 15 IP or 10 appearances. In a shortened season of about 40 or so games, this seemed to be a cutoff that made sense.

Below are the conferences that were statistically insignificant for ERA- and FIP- ACC America East Atlantic 10 CAA ECC MAC NESCAC Northeast Northeast 10 Patriot SEC Southern Sunshine State

The conferences above proved to have no predictive value for ERA- and FIP-.

Next are the statistically significant conferences.

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Atlantic Sun Analysis – 90% confidence for FIP-

0 2 4 6 8 10 12 14 160

50

100

150

200

250

Atlantic Sun FIP-

Spring FIP-Linear (Spring FIP-)NECBL FIP-Linear (NECBL FIP-)

# of Players

FIP

-

SUMMARY OUTPUT






Intercept 42.8387 21.62639216 1.980853119 0.070997416 -4.281154275 89.95856702 -4.281154275 89.95856702

FIP- 0.35936 0.182368882 1.970516372 0.072292 -0.037986792 0.756708525 -0.037986792 0.756708525

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Atlantic Sun FIP- Expected NECBL FIP-50 60.8160 64.4070 67.9980 71.5990 75.18

100 78.77110 82.37120 85.96130 89.56

140 93.15

150 96.74

Big East Analysis – 90% confidence for FIP-

0 2 4 6 8 10 12 14020406080

100120140160180200

Big East FIP-


# of Players

FIP

-

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SUMMARY OUTPUT






Intercept 32.706 26.44422143 1.236810798 0.24441578 -26.2149 91.6279 -26.2149 91.6279

FIP- 0.4643 0.237594238 1.954221978 0.0792 -0.06508 0.993705 -0.06508 0.993705

Big East FIP- Expected NECBL FIP-50 55.9260 60.5770 65.2180 69.8590 74.49

100 79.14110 83.78120 88.42130 93.07

140 97.71150 102.35

Big Ten Analysis – 95% confidence for FIP-

0 2 4 6 8 10 12 14 16 18 20020406080

100120140160180200

Big Ten FIP-


# of Players

FIP

-

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SUMMARY OUTPUT






Intercept 2.4668 34.94025448 0.070601057 0.944539165 -71.2507 76.18431 -71.2507 76.18431

FIP- 0.8379 0.331851513 2.525074026 0.0218 0.137804 1.538095 0.137804 1.538095

Big Ten FIP- Expected NECBL FIP-50 44.3660 52.74

70 61.1280 69.5090 77.88

100 86.26110 94.64120 103.02130 111.40140 119.78150 128.16

Ivy League Analysis – 95% confidence for ERA-

0 5 10 15 20 250

50

100

150

200

250

300

Ivy League ERA-

Spring ERA-Linear (Spring ERA-)NECBL ERA-Linear (NECBL ERA-)

# of Players

ER

A-

59 | P a g e

SUMMARY OUTPUT






Intercept 42.323 20.5609406 2.058406215 0.052172693 -0.43605 85.08158 -0.43605 85.08158

Spring ERA- 0.5192 0.190580852 2.724172956 0.012709 0.122841 0.91551 0.122841 0.91551

Ivy League ERA- Expected NECBL ERA-50 68.2860 73.47

70 78.6780 83.8690 89.05

100 94.24110 99.43120 104.62130 109.82140 115.01150 120.20

MAAC Analysis – 95% confidence for ERA- and 90% confidence for FIP-

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0 5 10 15 20 25 30 35 400

50

100

150

200

250

MAAC ERA-


# of Players

ERA

-

SUMMARY OUTPUT






Intercept 55.2997 21.1010877 2.620704 0.01289429 12.46223 98.1372 12.46223 98.1372

Spring ERA-0.45711 0.21922571 2.085099 0.04442 0.012056 0.902159 0.012056 0.902159

MAAC ERA- Expected NECBL ERA-50 78.1660 82.73

70 87.3080 91.8790 96.44

100 101.01110 105.58120 110.15130 114.72140 119.29150 123.87

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0 5 10 15 20 25 30 35 400

50

100

150

200

250

MAAC FIP-


# of Players

FIP-

SUMMARY OUTPUT





Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0%Upper 95.0%

Intercept 16.286 38.29833909 0.425238848 0.673266 -61.4638197 94.0357029 -61.4638 94.0357029

FIP- 0.7727 0.392931516 1.966422492 0.057 -0.02502401 1.57036275 -0.02502 1.57036275

MAAC FIP- Expected NECBL FIP-50 54.9260 62.6570 70.3780 78.10

90 85.83100 93.55110 101.28120 109.01130 116.73140 124.46150 132.19

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Pac 12 Analysis – 95% confidence for FIP- (Minus 2 outliers)The data was insignificant when including two extremely high FIP- (values of 230 in 2011 & 2012 in the Pac 12). When eliminating those outliers – the data becomes significant.

0 5 10 15 20 250

50

100

150

200

250

Pac 12 FIP-


# of Players

FIP

-

SUMMARY OUTPUT






Intercept 45.5791 20.46083 2.227626 0.03818847 2.754065 88.40407 2.754065 88.40407

230.0356 0.34211 0.163052 2.098182 0.0495 0.000841 0.683383 0.000841 0.683383

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Pac 12 FIP- Expected NECBL FIP-50 62.6860 66.1170 69.5380 72.9590 76.37

100 79.79110 83.21

120 86.63

130 90.05140 93.47150 96.90

Sun Belt Analysis – 95% confidence for ERA-

0 1 2 3 4 5 6 7 8 90

50

100

150

200

250

Sun Belt ERA-


# of Players

ER

A-

SUMMARY OUTPUT






Intercept 3.1615 19.04261991 0.166024133 0.873591185 -43.4341 49.75715 -43.4341 49.75715

Spring ERA- 0.6502 0.181690132 3.578638281 0.01166 0.205624 1.094783 0.205624 1.094783

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Sun Belt ERA- Expected NECBL ERA-50 35.6760 42.17

70 48.6880 55.1890 61.68

100 68.18110 74.68120 81.19130 87.69140 94.19150 100.69

Miscellaneous Findings

I wanted to see if there were any conferences where lefties or righties consistently performed better than the other. There were two notable results.

Below is a table of all lefty hitters from the ACC and their performance in the NECBL.

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Year Name B/T wRC+ OPS+

2010 Blow, M L/R 128 1622010 Gianis, J L/R 119 1302011 Kronenfeld, P L/L 118 1082011 Mack, C L/L 113 982011 Podlas, M L/L 47 522011 Kiene, T L/R 142 1622011 Horan, T L/R 156 1732012 Spingola, D L/L 91 1102012 White, C L/L 144 1592012 Zengel, T L/L 85 982012 Keniry, C L/R 103 1062012 Pare, M L/R 113 1672012 Santos, J L/R 79 602012 Papi, M L/R 108 1052012 Kronenfeld, P L/R 102 1022013 Spingola, D L/L 115 1272013 Shaw, C L/R 159 1982013 Kennedy, G L/R 95 842013 Papio, A L/R 111 1312013 Triller, M L/R 83 682014 Delph, T L/L 102 842014 Zunica, B L/R 120 1712014 Tiberi, B L/R 155 1892014 Lyman, C L/R 138 1822014 Papio, A L/R 125 1262014 Biggio, C L/R 76 542015 Jackson, R L/R 57 43

Over 70% of lefty hitters from the ACC performed above league average in the

NECBL in terms of wRC+ and 67% performed above league average in the NECBL in terms of OPS+

The average wRC+ for lefty hitters from the ACC in the NECBL is 111The average OPS+ for lefty hitters from the ACC in the NECBL is 120Below is a table of all lefty hitters from the MAAC and their performance in the NECBL

66 | P a g e

Year Name B/T wRC+ OPS+2010 Nathans, T L/R 127 1282010 McCann, M L/R 144 1432010 Nugent, B L/R 105 862010 Quaranto, K L/R 124 1462011 Coppinger, R L/R 108 1022012 Orefice, M L/L 110 1222012 Klock, J L/L 62 602012 Salvo, S L/R 102 772013 Guglietti, V L/L 123 1202014 Guglietti, V L/L 142 1732014 Byrne, M L/R 84 1182014 Pagano, M L/R 118 1002014 Wilgus, S L/R 122 1082015 Lumley, J L/R 131 1292015 Brucker, J L/R 105 852015 Laberton, G L/R 100 632015 Shea, D L/R 109 1202015 Hughes, S L/R 141 1502015 Gaetano, C L/R 127 1212015 Iannotti, L L/R 140 1412015 Pescitelli, R L/R 106 138

Over 90% of lefty hitters from the MAAC have performed at league average or better in the NECBL in terms of wRC+

Over 76% of lefty hitters from the MAAC have performed at league average or better in the NECBL in terms of OPS+

The average wRC+ for lefty hitters from the MAAC in the NECBL is 116The average OPS+ for lefty hitters from the MAAC in the NECBL is 116

Looking at a hitter’s K/BB ratio can be a good indicator of plate discipline and a solid statistic to use when evaluating a player. Below is a chart of every single player that has played in the NECBL whose K% was 10% or lower in their spring season prior to their NECBL appearance. You can see that evaluating how much a player strikes out in the spring is a good indicator of how the player will perform in the NECBL.

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The average wRC+ in

the NECBL for players

with K%’s ≤ 10% in

the spring is 115

Over 76% of

players with a K% ≤

10% in their spring

seasons perform at

league average or

better in the NECBL

68 | P a g e

Year Name School Conference Spring K% NECBL wRC+2010 Onorati, M Manhattan MAAC 4% 932010 Gomez, A Vanderbilt SEC 4% 1452011 Barrett, B University of Southern Maine Little East 4% 622013 Patterson, S University of Cal Davis Big West 5% 1232012 Barrett, B University of Southern Maine Little East 5% 862015 Dexter, S University of Southern Maine Little East 5% 1362015 Luopa, L Eckerd College Sunshine State 5% 1002011 Cammans, J University of Rhode Island Atlantic 10 6% 1242012 Shank, Z Marist College MAAC 6% 1082015 Hardardt, C Hofstra CAA 6% 762012 Diekroeger, D Stanford Pac-12 6% 1302013 Sportman, J Central Connecticut State Northeast 6% 1392013 Donley, S Indiana Big Ten 7% 1312011 Ciocchi, D Binghamton America East 7% 1112015 Dejesus, M Ohio University MAC 7% 1232014 Xepoleas, R George Washington Atlantic 10 7% 1132013 English, A Barry University Sunshine State 7% 1332014 Charbonneau, B LeMoyne College Northeast 10 7% 802013 Keller, A Princeton Ivy 7% 1362012 Patron, I Long Beach State Big West 8% 1602011 Conley, T UMASS Amherst Atlantic 10 8% 482015 Schanz, D Binghamton America East 8% 1222010 Ciocchi, D Binghamton America East 8% 1302013 Young, A University of Cal Davis Big West 8% 852014 Dexter, S University of Southern Maine Little East 8% 1202014 Rinn, R Bryant Northeast 8% 1202013 Wiese, P LeMoyne College Northeast 10 8% 1302014 Coman, R University of Virginia ACC 8% 1302015 Parenty, J Stony Brook America East 9% 1272012 English, A Barry University Sunshine State 9% 1172014 Balzano, S University of Maine America East 9% 862015 Mascelli, N Wagner College Northeast 9% 1192014 Diamond, A Belmont Ohio Valley 9% 912015 Gazzola, A Stony Brook University America East 9% 1222014 Roulis, T Dartmouth Ivy 9% 1182010 Doane, K East Tennessee State Atlantic Sun 9% 982012 Black, T University of Maine America East 10% 952015 Knightes, R St Johns Big East 10% 1002014 Siena, V UCONN AAC 10% 1112010 Cantwell, P SUNY Stony Brook America East 10% 1402012 Peragine, C SUNY Stony Brook America East 10% 1382012 Sportman, J Central Connecticut State Northeast 10% 1092013 Torres, J Iona College MAAC 10% 1422014 Bunn, J VCU Atlantic 10 10% 1472012 White, C Maryland ACC 10% 1442013 Bailey, C Georgia State CAA 10% 1332012 Collins, D Troy Sun Belt 10% 1592012 Lindemuth, R College of William & Mary CAA 10% 1292013 Anderson, C Bryant Northeast 10% 1362010 Fontaine, T UMASS Boston Little East 10% -152011 Brown, K Bryant Northeast 10% 100

Looking for players with a K% ≤ 10%

isn’t the only thing an NECBL general

manager should be doing. Here is a

chart with every single player that has played in the

NECBL whose BB% was greater than their K% in their

spring seasons prior to their

NECBL appearance

The average wRC+

in the NECBL for

players whose BB%

was greater than

their K% in their

respective spring

seasons is 113

Over 72% of

players whose BB%

was greater than

their K% in their

spring seasons

performed at league

average or better in

the NECBL69 | P a g e

Year Name School Conference Spring K% Spring BB% NECBL wRC+2010 Quaranto, K Siena Collge MAAC 14% 16% 1242010 Ciocchi, D Binghamton America East 8% 11% 1302010 Gomez, A Vanderbilt SEC 4% 7% 1452010 Onorati, M Manhattan MAAC 4% 5% 932011 Gregor, C Vanderbilt SEC 18% 19% 1652011 Freeman, R Kennesaw State Atlantic Sun 14% 17% 1162011 Ciocchi, D Binghamton American East 7% 17% 1112011 Conley, T UMASS Amherst Atlantic 10 8% 12% 482011 Cammans, J University of Rhode Island Atlantic 10 6% 8% 1242012 Kelly, R St. Anslem College Northeast 10 14% 23% 1542012 Boulter, M Southern New Hampshire Northeast 10 17% 23% 712012 Planas-Arteaga, S Barry University Sunshine State 20% 22% 1332012 Pierce, L Troy Sun Belt 12% 19% 1452012 Butera, B Boston College ACC 13% 16% 782012 Orefice, M Marist College MAAC 12% 16% 1102012 Patron, I Long Beach State Big West 8% 15% 1602012 Torres, J Iona College MAAC 12% 14% 832012 White, C Maryland ACC 10% 14% 1442012 Keur, J Michigan State Big Ten 11% 12% 1202012 English, A Barry University Sunshine State 9% 10% 1172012 Diekroeger, D Stanford Pac-12 6% 9% 1302013 Razzino, J Franklin Pierce Northeast 10 21% 35% 742013 Ferreira, E Harvard Ivy 22% 26% 1062013 Kennedy, G University of Miami ACC 19% 22% 952013 Spingola, D Georgia Tech ACC 17% 18% 1152013 Plourde, R Fairfield MAAC 13% 18% 1442013 Stubbs, G USC Pac-12 11% 15% 1342013 Ford, M Hofstra U CAA 12% 15% 952013 Richardson, R Michigan State Big Ten 11% 13% 1072013 Blanden, Z Binghamton America East 11% 12% 1142013 Wiese, P LeMoyne College Northeast 10 8% 12% 1302013 Keller, A Princeton Ivy 7% 10% 1362013 English, A Barry University Sunshine State 7% 9% 1332013 Patterson, S University of Cal Davis Big West 5% 9% 1232013 Donley, S Indiana Big Ten 7% 9% 1312014 Valdez, R Barry University Sunshine State 17% 25% 1192014 Caruso, A St. John's Big East 14% 23% 1172014 Delph, T Florida State ACC 16% 18% 1022014 Berman, S Santa Clara WCC 11% 16% 1192014 Lynch, T Southern Mississippi Conference USA 13% 16% 1622014 Rinn, R Bryant Northeast 8% 16% 1202014 Crinella, F Merrimack College Northeast 10 15% 15% 1092014 Machin, V VCU Atlantic 10 11% 15% 872014 Weigel, Z Seton Hall Big East 13% 15% 1082014 Wright, C Kansas Big 12 12% 15% 862014 Parenty, J SUNY Stony Brook America East 13% 14% 932014 McGrath, P Washington State Pac-12 11% 12% 602014 Coman, R University of Virginia ACC 8% 12% 1302014 Diamond, A Belmont Ohio Valley 9% 12% 912014 Balzano, S University of Maine America East 9% 10% 862014 Charbonneau, B LeMoyne College Northeast 10 7% 9% 802014 Xepoleas, R George Washington Atlantic 10 7% 7% 1132015 Palomaki, J Boston College ACC 14% 28% 882015 Copeland, G Austin Peay State Ohio Valley 16% 18% 1172015 Grote, C Furman Southern 15% 18% 1062015 Boyher, L Columbia Ivy 15% 17% 912015 Mascelli, N Wagner College Northeast 9% 15% 1192015 Dejesus, M Ohio University MAC 7% 15% 1232015 Dawson, N University of Southern Mississippi Conference USA 12% 14% 1032015 Lashley, B Florida Atlantic University Conference USA 12% 13% 1192015 Parenty, J Stony Brook America East 9% 12% 1272015 Gazzola, A Stony Brook University America East 9% 11% 1222015 Dexter, S University of Southern Maine Little East 5% 9% 1362015 Hardardt, C Hofstra CAA 6% 8% 762015 Luopa, L Eckerd College Sunshine State 5% 7% 100

Year Name School Conference Spring SB/PA% NECBL wRC+2015 Nixon, C Kennessaw State Atlantic Sun 14.29% 1012014 Crinella, F Merrimack College Northeast 10 14.14% 1092015 Jenkins, D Seton Hall Big East 14.13% 962013 Wiese, P LeMoyne College Northeast 10 13.64% 1302014 LaVorgna, C Franklin Pierce Northeast 10 13.04% 712014 Krische, M Canisius College MAAC 12.95% 1112013 Torres, J Iona College MAAC 12.38% 1422011 Johnson, K Washington State Pac-12 12.33% 1112014 Ocello, E Holy Cross College Patriot 12.06% 1432015 Sundberg, J UCONN AAC 11.22% 1182013 Witkus, A Fairfield MAAC 10.60% 1152014 Sundberg, J UCONN AAC 10.47% 922014 Handley, T SUNY Stony Brook America East 10.26% 1522014 Martin, M Harvard Ivy 10.24% 1492012 Black, T University of Maine America East 9.94% 1202013 Carcone, J College of St. Rose Northeast 10 9.93% 1082011 LeBel, M University of Rhode Island Atlantic 10 9.92% 1662011 Burke, C Iona College MAAC 9.87% 1172011 Cammans, J University of Rhode Island Atlantic 10 9.82% 1242010 Coulombe, T University of Rhode Island Atlantic 10 9.39% 1042015 Tufts, R Virginia Tech ACC 9.35% 962015 Dixon, T Samford Southern 9.13% 1042013 Balzano, S University of Maine America East 8.90% 1382013 Pezzuto, G Southern New Hampshire Northeast 10 8.89% 782012 Witkus, A Fairfield University MAAC 8.82% 1002014 Biggio, C Notre Dame ACC 8.33% 762013 Anderson, C Bryant Northeast 8.26% 1362015 Parenty, J Stony Brook America East 7.88% 1272012 Roy, J University of Rhode Island Atlantic 10 7.86% 1382013 Ford, M Hofstra U CAA 7.75% 952015 McCain, G Oklahoma State Big 12 7.61% 1142015 Copeland, G Austin Peay State Ohio Valley 7.50% 1172012 Coffman, K Arizona State Pac-12 7.33% 1002010 Stafford, R Marshall Conference USA 7.26% 732012 Obrien, B Southern New Hampshire Northeast 10 7.26% 912010 Lebel, M University of Rhode Island Atlantic 10 7.14% 1392013 Santomauro, A Lafayette College Patriot 7.08% 1082013 Plourde, R Fairfield MAAC 7.01% 144

Next I wanted to see if speed translated to offensive success in the NECBL. Instead of just looking at total stolen bases, I looked at Stolen Bases per Plate Appearance, since some players had more opportunities than others. This gives us the percentage of plate appearances in which the hitter eventually stole a base. This seems to be a important thing to look at when deciding which players to acquire in the NECBL. Below is a table of all players who played in the NECBL with SB/PA % > 7%. This seemed to be the cutoff as the average wRC+ and percentage of players above league average fell when trying to include players > than 6%.

The average wRC+

in the NECBL for

players with a

SB/PA% > 7% in

their spring

seasons is 115

Over 76% of

players with a

SB/PA% > 7%

performed at

league average or

better in the

NECBL.

70 | P a g e

SummaryThere are many conclusions to draw from all of the data analyzed throughout this report. Some of the main ones that stand out to me are as follows

Player’s offensive ability definitely increases as they get older

NJCAA players are historically poor performers in the NECBLo 87 wRC+o 109 ERA-

Conferences that produce the best offensive players (with a reliable amount of data)

o Ivy Leagueo America Easto MAACo Big Ten

Best Offensive PIR o ACCo Conference USAo SECo Pac 12

Players from these conferences are likely to improve from spring to summer

Conferences that produce the best pitchers (with a reliable amount of data)o Northeasto Ivy Leagueo MAACo ACCo Atlantic 10o SEC

Best Pitching PIRo Atlantic Suno Pac 12

Players from these conferences are likely to improve from spring to summer

71 | P a g e

NECBL general managers should basically always take the following players on their rosters (all offensive stats require a minimum of 50 at bats) (all pitching stats require a minimum of 15 IP or 10 appearances)

o All lefty hitters from the ACCo All lefty hitters from the MAACo Hitters with a K% ≤ 10%o Hitters whose BB% > K%o Hitters whose SB/PA% > 7% o America East hitters with a wRC+ ≥ 100o Northeast 10 hitters with a wRC+ ≥ 130o Patriot League hitters with a wRC+ ≥ 100o ACC hitters with a wRC+ ≥ 90o Atlantic 10 hitters with a wRC+ ≥ 120o Big Ten hitters with a wRC+ ≥ 90o Ivy League hitters with a wRC+ ≥ 90o Ohio Valley hitters with a wRC+ ≥ 120o Atlantic Sun hitters with an OPS+ ≥ 100o MAC hitters with an OPS+ ≥ 150o Sunshine State hitters with an OPS+ ≥ 100o ALL pitchers from the following conferences

Atlantic Sun Pac 12 Sun Belt

o Big East pitchers with a FIP- ≤ 140o Big Ten pitchers with a FIP- ≤ 110o Ivy League pitchers with an ERA- ≤ 110o MAAC pitchers with an ERA- ≤ 100

Danbury Westerners Hitters, 2013-201572 | P a g e

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Agresti, J Binghamton 0.333 5.88 17 93 0.267 0.704 110 22% 15%2015 Klages, J University of Missouri 0.282 1.00 11 64 0.222 0.526 57 33% 23%2015 Sundberg, J UCONN 0.374 7.12 15 118 0.409 0.817 144 24% 19%2015 Burger, Z Louisiana Tech University 0.377 17.65 37 120 0.270 0.730 118 9% 16%2015 Cox, B Mercyhurst College 0.306 4.37 19 78 0.281 0.553 65 16% 6%2015 Bergami, D Springfield College 0.280 0.92 13 62 0.225 0.467 40 12% 8%2015 Michelangeli, E 0.348 5.10 13 103 0.400 0.828 148 24% 19%2015 Maldonado, F Pittsburgh 0.338 8.15 22 96 0.333 0.687 105 15% 5%2015 Acker, C VCU 0.397 16.16 31 131 0.413 0.884 164 9% 6%2015 Triano, C SUNY Purchase 0.328 3.45 10 90 0.273 0.743 122 32% 8%2015 Bunn, J 0.317 3.40 12 84 0.304 0.641 92 15% 8%2014 Lavy, Z University of Missouri 0.339 7.82 28 85 0.317 0.676 89 13% 7%2014 Morgan, B Kennesaw State 0.315 2.44 15 71 0.284 0.591 67 15% 7%2014 Ryan, A Dayton 0.342 8.49 29 87 0.280 0.658 84 13% 5%2014 Gutierrez, H University of Michigan 0.288 -0.21 13 55 0.313 0.577 63 32% 9%2014 DelDebbio, C Hartford 0.332 3.41 14 81 0.288 0.643 80 14% 4%2014 Huesman, A Dayton 0.362 5.29 15 99 0.325 0.799 120 25% 26%2014 Pearson, L University of Missouri 0.267 -1.92 8 42 0.302 0.547 55 29% 8%2014 Ring, J University of Missouri 0.292 0.32 20 57 0.351 0.624 75 28% 10%2014 Palacios, J 0.335 3.35 13 83 0.293 0.686 91 13% 10%2014 Machin, V VCU 0.342 9.24 32 87 0.284 0.706 96 21% 13%2014 Poduslenko, J Seton Hall 0.305 1.57 15 65 0.262 0.603 70 27% 16%2013 Palmer, R Southern New Hampshire U 0.340 8.02 27 87 0.307 0.740 105 27% 7%2013 Caputo, J SUNY Stony Brook 0.288 0.24 17 56 0.337 0.588 66 24% 7%2013 David, C UCONN 0.206 -4.39 3 8 0.231 0.348 4 28% 2%2013 Vanaman, C Tulane 0.242 -2.76 5 29 0.179 0.390 15 29% 7%2013 Tuccio, A Siena 0.304 2.68 22 66 0.378 0.693 92 33% 13%2013 Spingola, D Georgia Tech 0.388 17.46 39 115 0.380 0.826 127 17% 8%2013 Blanden, Z Binghamton 0.386 17.13 39 114 0.336 0.785 116 21% 19%2013 Testani, J UCONN 0.308 2.50 17 68 0.288 0.647 81 41% 13%2013 Yavarone, E UCONN 0.312 1.83 11 70 0.280 0.619 73 18% 10%2013 Pezzuto, G Southern New Hampshire U 0.325 3.86 17 78 0.268 0.593 67 17% 10%2013 Cruz, A Georgia Tech 0.339 6.64 23 86 0.397 0.773 113 29% 8%2013 Riopedre, C 0.306 1.54 12 67 0.340 0.670 87 24% 13%

Danbury Westerners Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Orefice, M Marist College 0.418 18.52 51 110 0.362 0.965 122 18% 19%2012 Boutler, C Southern New Hampshire 0.336 1.41 14 71 0.238 0.686 64 25% 25%2012 Thomas, M University of Kentucky 0.223 -6.40 6 17 0.250 0.435 11 38% 10%2012 Ivory, J University of Missouri 0.283 -3.02 13 45 0.390 0.660 57 29% 2%2012 Shank, Z Marist College 0.415 17.29 49 108 0.328 0.850 97 11% 9%2012 Boulter, M Southern New Hampshire 0.390 11.40 39 97 0.365 0.821 94 16% 22%2012 Spingola, D Georgia Tech 0.378 8.68 34 91 0.396 0.919 110 25% 6%2012 Zengel, T UNC Chapel Hill 0.366 7.56 35 85 0.294 0.863 98 25% 13%2012 Wernicki, K Virginia Tech 0.251 -4.41 7 30 0.282 0.602 44 32% 7%2012 Hagan, S Binghamton 0.343 1.92 15 74 0.257 0.876 100 36% 13%2012 Garner, A Tulane 0.365 7.33 35 84 0.260 0.807 85 23% 3%2012 Ake, J UNC Chapel Hill 0.325 0.61 14 65 0.340 0.689 64 25% 12%2012 Gronsky, J Monmouth 0.347 3.61 25 76 0.326 0.775 80 22% 3%2011 Ciocchi, D Binghamton Univeristy 0.373 7.57 20 111 0.366 0.818 116 13% 8%2011 Morgan, C Virginia Tech 0.340 6.29 24 90 0.398 0.767 103 23% 6%2011 Swingle, S Franklin Pierce 0.277 -1.13 9 52 0.350 0.643 74 37% 15%2011 Richardson, K St Johns University 0.352 5.41 18 98 0.300 0.681 83 22% 9%2011 Butler, C Georgia Tech 0.308 1.98 19 71 0.378 0.700 88 31% 14%2011 Everett, D University of Missouri 0.331 4.64 21 85 0.306 0.680 82 19% 8%2011 Horan, T Virginia Tech 0.446 21.90 41 156 0.351 1.053 173 19% 5%2011 Krietemeier, T University of Nebraska Lincoln 0.371 12.69 34 110 0.392 0.838 121 18% 6%2011 Garner, A Tulane 0.430 17.01 34 146 0.463 1.047 172 21% 5%2011 Opel, D University of Missouri 0.377 11.18 29 113 0.373 0.910 139 27% 20%2011 Ford, M Princeton 0.336 4.72 19 88 0.338 0.683 83 18% 11%2011 Convissar, K Maryland 0.416 9.31 19 138 0.396 0.980 157 17% 8%2011 Waylock, C Iowa Western CC 0.353 7.91 25 99 0.333 0.716 92 14% 12%2010 Meeks, T Marshall 0.405 12.42 26 134 0.327 0.975 165 27% 25%2010 Williams, M University of Kentucky 0.282 -0.90 18 57 0.318 0.641 79 31% 6%2010 Rodriguez, A Maryland 0.321 3.87 19 81 0.271 0.610 71 13% 4%2010 Ciocchi, D Binghamton 0.398 17.58 39 130 0.315 0.771 112 9% 14%2010 Kownacki, B Fordham U 0.284 -0.45 12 58 0.306 0.587 65 38% 13%2010 Barry, B Tulane 0.310 1.66 12 74 0.277 0.597 68 27% 15%2010 Hajjar, A Fairfield U 0.306 1.15 10 72 0.239 0.549 55 22% 2%2010 Nathans, T Fairfield U 0.393 18.35 41 127 0.294 0.833 128 15% 11%2010 Gianis, J North Carolina State 0.381 5.34 13 119 0.396 0.840 130 9% 6%2010 Knief, B UNC Chapel Hill 0.315 2.40 14 78 0.319 0.621 74 18% 6%2010 Brennan, J St. John's University 0.317 2.63 14 79 0.415 0.728 101 33% 15%2010 Stafford, R Marshall 0.308 2.07 16 73 0.263 0.655 83 36% 10%2010 Boudreaux, B Tulane 0.376 9.88 25 116 0.303 0.757 109 14% 19%2010 Ingui, D Franklin Pierce 0.357 11.36 33 104 0.347 0.749 107 16% 10%

Danbury Westerners Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Morris, C Seton Hall 38.67 0.268 5.35 148 4.59 127 15% 12%2015 Rivera, S Vanguard University 28.67 0.257 3.45 96 5.09 141 16% 11%2015 Lyman, D Lee University 11.33 0.25 5.56 154 6.86 190 16% 19%2015 O'Neill, P Eastern Connecticut State 23.00 0.259 3.13 87 3.59 99 15% 8%2015 Tinkham, S Grinnell College 48.67 0.267 3.33 92 3.70 103 12% 6%2015 Leeds, M Lafeyette College 38.33 0.283 4.93 136 3.04 84 12% 7%2015 Baker, B University of Missouri 33 0.281 4.91 136 4.89 135 15% 12%2015 Dabney, L University of Missouri 17.67 0.203 7.64 211 4.76 132 14% 20%2015 Ledesma, J Lackawanna College 35 0.241 6.17 171 7.15 198 12% 18%2014 Murphy, B Hartford 33.67 0.252 3.47 85 3.83 94 19% 9%2014 Burum, S Seton Hall 25.33 0.31 3.91 96 1.98 49 21% 7%2014 Arena, J LIU Post 20.67 0.348 6.10 150 3.30 81 12% 7%2014 Marks, R Columbia 21.67 0.195 3.74 92 4.47 110 17% 10%2014 Santiago, E Western Connecticut State 20.67 0.333 7.40 182 4.65 114 14% 12%2014 Farina, A Lafayette College 33 0.225 3.27 80 2.95 72 19% 8%2014 Schwaab, A University of Missouri 34.33 0.235 2.10 52 3.76 92 17% 7%2014 Mintz, Levi Mississippi State 14.33 0.264 4.40 108 3.60 89 15% 15%2014 Holmes, T San Jacinto College North 27 0.288 4.00 98 1.28 32 27% 7%2014 Torres, K Western Oklahoma State 22 0.238 4.50 111 4.58 113 18% 11%2013 Pashuck, J Maryland 27.67 0.242 1.63 39 2.55 61 24% 6%2013 Green, S Boston College 39.67 0.291 3.40 81 3.70 88 14% 9%2013 Carter, R Hartford 22 0.307 3.68 88 3.60 86 19% 11%2013 Lejeune, C George Washington 20 0.291 4.50 107 2.45 58 30% 4%2013 Murphy, J Fordham 36.33 0.289 5.45 130 3.47 83 17% 8%2013 Corsi, R Rutgers 22.67 0.261 3.57 85 3.90 93 17% 12%2013 Tax, Z Columbia 35.67 0.205 1.26 30 2.80 67 13% 5%2013 Fryer, N Siena 19.33 0.235 3.72 89 3.76 90 34% 11%2013 Blanc, R Franklin Pierce 33.33 0.276 2.97 71 3.86 92 15% 6%2013 Ascher, S SUNY Oneonta 44 0.278 3.89 93 3.47 83 19% 5%2013 Bonilla B Grand Canyon U 19.33 0.224 8.38 200 3.14 75 31% 14%

Danbury Westerners Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Stinnett, J Maryland 17.33 0.109 1.56 25 4.37 70 29% 9%2012 Adkins, B Miami 20.33 0.134 1.77 28 4.53 72 23% 9%2012 Brewster, B Maryland 27.33 0.260 3.62 58 4.48 71 20% 10%2012 Sterman, I Virginia Tech 13 0.260 9.69 154 5.94 95 27% 17%2012 Porter, J Fordham University 23 0.302 7.04 112 5.70 91 12% 5%2012 Catalina, S UCONN 37 0.280 3.16 50 4.33 69 17% 7%2012 Tax, Z Columbia 20.67 0.269 3.48 56 5.34 85 18% 14%2012 Houseal, B Marist 63.67 0.230 3.25 52 5.99 95 15% 6%2012 Gibson, D Southern New Hampshire 26 0.226 5.54 88 5.56 89 20% 12%2012 Breidenbach, F West Chester U 30.33 0.323 7.42 118 6.36 101 16% 10%2012 Luksis, E University of Tampa 39.67 0.323 5.90 94 8.02 128 13% 8%2011 Augliera, M Binghamton University 34.67 0.25 3.12 70 3.60 81 20% 6%2011 DeCecco, S South Carolina Upstate 32.33 0.294 3.62 81 3.79 85 19% 12%2011 Eagleson, S Johns Hopkins 42.67 0.286 4.01 90 4.03 91 11% 5%2011 Link, K Princeton 44.67 0.235 2.42 54 2.62 59 16% 3%2011 Ford, M Princeton 46.67 0.313 4.24 95 3.05 69 20% 9%2011 Luksis, E Manhattan College 28.67 0.244 7.22 162 2.56 58 19% 5%2011 Williams, N University of Tennessee 37.33 0.227 4.34 98 3.08 69 28% 13%2011 Wijas, W University of Kentucky 15.67 0.288 4.59 103 2.41 54 27% 7%2011 Reed, J 25.33 0.229 1.78 40 1.59 36 39% 5%2010 Brechbuehler, T* UNC Chapel Hill 19.67 0.267 8.69 210 6.61 160 15% 18%2010 Hauschild, M Dayton 58.00 0.176 1.24 30 2.33 56 22% 7%2010 Lahram, B Dayton 35.67 0.259 4.79 116 3.95 96 18% 13%2010 Gardek, I* Dayton 18.67 0.182 3.37 82 3.00 73 25% 14%2010 Hagan, S St. John's University 37.67 0.275 5.50 133 4.01 97 17% 9%2010 Catalina, S* UCONN 24.33 0.295 5.92 143 4.29 104 13% 13%2010 Anderson, M* East Carolina U 19.00 0.222 5.68 138 3.79 92 24% 9%2010 Anarumo, M* LeMoyne College 22.00 0.309 3.27 79 3.01 73 19% 12%2010 Clark, D Elon U 36.00 0.246 2.25 54 3.05 74 19% 3%

Keene Swampbats Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Foreman, C University of Rhode Island 0.371 10.89 23 119 0.268 0.762 128 16% 21%2015 Luopa, L Eckerd College 0.338 11.76 32 100 0.289 0.624 87 9% 10%2015 Matheny, S Washington State 0.300 2.91 15 77 0.295 0.562 68 23% 18%2015 Hardardt, C Hofstra 0.297 2.91 16 76 0.222 0.468 40 11% 8%2015 Fitzsimons, C Central Connecticut State 0.248 -3.24 13 47 0.300 0.552 65 35% 5%2015 Christman, G Butler 0.308 6.95 28 82 0.320 0.652 95 23% 12%2015 Annunziata, M 0.251 -1.62 7 48 0.230 0.423 26 21% 3%2015 Crisler, L Indiana University 0.287 1.80 15 70 0.314 0.609 82 30% 4%2015 Karl, R Corenll University 0.333 9.53 27 97 0.271 0.752 124 30% 10%2015 Brocato, A 0.361 6.24 14 114 0.271 0.790 136 21% 5%2015 Geannelis, M UMASS Amherst 0.288 1.68 13 70 0.282 0.528 58 22% 11%2015 Celucci, D Bryant 0.282 1.55 17 67 0.302 0.538 61 27% 12%2014 McCarty, A Vanderbilt 0.304 1.86 14 70 0.311 0.602 73 21% 5%2014 McGrath, P Washington State 0.287 0.15 13 60 0.247 0.496 44 18% 4%2014 Summers, R Louisville 0.319 4.50 21 80 0.293 0.670 91 28% 7%2014 Coman, R University of Virginia 0.402 10.60 22 130 0.338 0.830 134 8% 7%2014 Fitzsimons, C Central Connecticut State 0.309 2.43 15 73 0.323 0.662 89 29% 6%2014 Sheetz, B Hartford 0.345 7.48 23 95 0.322 0.753 113 18% 6%2014 Liquori, A Kennesaw State 0.324 4.34 18 82 0.358 0.713 103 30% 15%2014 Smith, S Texas Tech 0.303 1.25 10 70 0.317 0.683 94 32% 10%2014 Lauricella, Z St. John's 0.360 11.29 30 104 0.313 0.812 129 23% 14%2014 Simonetti, C 0.261 -1.51 6 44 0.308 0.644 84 45% 9%2014 Hall, D Cochise College 0.269 -1.10 7 49 0.186 0.414 22 20% 9%2014 Dennis, B St. John's 0.318 5.20 25 78 0.336 0.640 83 25% 11%2014 Mederos, J St. John's 0.404 14.54 29 131 0.348 0.853 140 12% 11%2014 Perez, T St. Leo College 0.275 -1.33 14 53 0.274 0.520 51 25% 7%2013 Gutierrez, E Texas Tech 0.353 11.30 31 100 0.259 0.662 88 14% 13%2013 Monnot, T Kent State 0.344 6.90 21 95 0.324 0.741 110 21% 8%2013 Swingle, S Grand Canyon U 0.361 4.80 12 105 0.429 0.884 148 37% 12%2013 Lauricella, Z St John's U 0.350 10.16 29 98 0.280 0.726 106 20% 9%2013 Sportman, J Central Connecticut State 0.419 23.42 45 139 0.377 0.933 162 12% 13%2013 Lucas, Z Louisville 0.368 11.82 29 109 0.427 0.847 138 27% 4%2013 Ford, M Hofstra U 0.343 10.10 30 95 0.310 0.650 85 10% 7%2013 Lukach, R Hartford 0.319 3.72 16 80 0.411 0.772 118 35% 4%2013 Ogrady, B Rutgers 0.409 17.35 34 133 0.322 0.904 154 18% 14%2013 Nichols, D University of Georgia 0.340 7.92 25 93 0.298 0.719 104 19% 8%2013 Cafiero, R Hofstra U 0.395 9.63 20 125 0.377 0.828 133 13% 4%2013 Moore, D Cypress College 0.328 7.38 27 85 0.281 0.608 74 15% 10%

Keene Swampbats Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Schwindel, F St. John's University 0.456 21.25 46 135 0.381 1.029 140 9% 4%2012 Obrien, C Louisville 0.365 6.47 27 91 0.284 0.738 76 14% 5%2012 Papi, M University of Virginia 0.401 8.01 23 108 0.281 0.856 105 14% 27%2012 Whitten, F Maine Orono 0.362 6.49 28 90 0.338 0.938 119 33% 6%2012 Sportman, J Central Connecticut State 0.403 15.60 45 109 0.390 0.904 113 15% 7%2012 Walsh, J University of Georgia 0.414 14.73 39 115 0.344 0.984 129 20% 7%2012 Ward, N University of Georgia 0.387 10.76 35 102 0.372 0.836 99 21% 12%2012 Barrett, B University of Southern Maine 0.354 4.65 23 86 0.275 0.708 70 15% 8%2012 Moore, D Cypress College 0.389 11.75 37 103 0.298 0.766 84 12% 15%2012 Kay, G Iowa Western CC 0.433 19.42 47 124 0.394 1.062 147 19% 6%2012 DelaCruz, D Central Connecticut State 0.434 21.28 51 124 0.363 0.946 122 10% 6%2012 Wheeler, A University of Georgia 0.284 -2.92 16 53 0.390 0.715 71 36% 6%2011 Barrett, B University of Southern Maine 0.340 -0.47 22 62 0.283 0.644 76 11% 3%2011 Gomez, E San Jacinto College 0.368 2.93 32 77 0.330 0.796 116 19% 17%2011 Conley, T UMASS Amherst 0.313 -2.13 12 48 0.218 0.547 53 14% 18%2011 Lyon, D Kent State 0.351 0.47 18 68 0.309 0.751 104 19% 5%2011 DeLoach, B University of Georgia 0.407 7.83 38 97 0.330 0.917 147 18% 8%2011 Toadvine, D Kent State 0.275 -7.73 16 29 0.303 0.518 45 27% 6%2011 May, C University of Georgia 0.371 3.12 31 78 0.238 0.770 109 14% 7%2011 Powell, C University of Georgia 0.375 2.38 21 80 0.290 0.678 87 12% 18%2011 Podlas, M University of Virginia 0.310 -2.16 12 47 0.208 0.547 52 18% 9%2011 Brown, K Bryant University 0.413 10.00 45 100 0.338 0.934 151 13% 9%2011 Burruss, M Georgia Southern 0.293 -5.92 18 38 0.288 0.553 54 16% 4%2011 Chittenden, A Louisville 0.370 3.73 38 78 0.336 0.816 121 16% 11%2010 Conley, T UMASS Amherst 0.312 -2.48 16 49 0.220 0.524 51 12% 10%2010 Ponciano, J Washington State 0.331 -0.56 12 59 0.263 0.602 72 11% 5%2010 Fontaine, T UMASS Boston 0.192 -8.55 2 -15 0.109 0.210 -33 25% 5%2010 Demichele, J Arizona State 0.364 2.16 23 76 0.295 0.734 108 14% 8%2010 Bernard, T Arizona State 0.352 1.31 27 70 0.358 0.734 107 20% 13%2010 Barrett, B University of Southern Maine 0.319 -2.40 21 53 0.300 0.601 72 14% 6%2010 Dickinson, S St. Petersburg cc 0.364 1.59 17 76 0.339 0.709 101 19% 17%2010 Baltz, J St. John's 0.379 4.41 30 85 0.356 0.835 134 19% 14%2010 Karmas, P St. John's 0.349 0.88 27 68 0.243 0.655 86 13% 10%2010 Onorati, M Manhattan 0.395 8.05 42 93 0.302 0.727 106 4% 8%2010 Klafczynski, B Kent State 0.345 0.50 26 67 0.361 0.748 111 19% 9%2010 Jacobs, B Washington State 0.312 -1.98 13 49 0.373 0.668 90 23% 4%2010 Ruiz, K University of Georgia 0.219 -11.05 7 0 0.250 0.375 11 30% 3%

Keene Swampbats Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Henzman, L Louisville 28.33 0.196 2.86 79 2.78 77 22% 8%2015 McClure, K Louisville 19.67 0.333 4.12 114 4.24 117 18% 10%2015 Giampetruzzi, C Boston College 22.33 0.281 1.61 45 4.37 121 14% 10%2015 Sousa, B University of Virginia 16.67 0.179 1.62 45 3.25 90 17% 12%2015 Gauthier, K Hartford 34 0.307 3.18 88 2.89 80 23% 8%2015 Stepniak, B Hartford 25.33 0.245 4.26 118 4.80 133 19% 5%2015 Ryan, A UMASS Lowell 23.33 0.315 6.56 182 3.84 106 19% 10%2015 Geannelis, M UMASS Amherst 32 0.273 3.09 86 3.57 99 12% 6%2015 Hobbie, B Indiana University 29 0.28 4.97 137 4.34 120 16% 6%2015 Leiter, J St Peters College 30.33 0.239 5.04 140 3.53 98 16% 10%2015 Willeman, Z Kent State 31 0.223 1.74 48 1.45 40 34% 9%2015 Covelle, P Franklin Pierce 22.33 0.228 1.61 45 3.78 105 21% 15%2015 Nations, D Newberry College 24 0.264 5.25 145 3.69 102 21% 10%2015 Sahlin, C Florence-Darlington Tech 22.33 0.195 4.03 112 4.05 112 23% 8%2014 Jones, C University of Virginia 22.67 0.213 1.99 52 3.34 87 23% 15%2014 Bettinger, A University of Virginia 19 0.203 2.37 62 2.92 76 27% 12%2014 Robinson, A Maryland 21.33 0.284 3.38 88 4.03 105 27% 14%2014 Hall, D Cochise College 25.67 0.204 2.10 55 3.23 84 24% 7%2014 Clancy, M St. John's 28 0.198 2.89 75 2.73 71 36% 12%2014 Severino, D Central Connecticut State 40.33 0.194 1.79 47 3.46 90 14% 4%2014 Blandino,M Central Connecticut State 38.33 0.266 3.99 104 3.91 102 13% 4%2014 Criscuolo, B Southern New Hampshire 23.33 0.169 2.31 60 3.71 97 22% 11%2014 Triece, S Washington State 16.33 0.324 4.96 129 3.68 96 23% 10%2014 Sosebee, D University of Georgia 41.33 0.252 2.61 68 1.58 41 21% 3%2014 Dunnigan, M St Leo College 35.33 0.262 2.80 73 1.92 50 20% 0%2013 Kirby, N University of Virginia 43 0.181 1.67 42 1.96 50 35% 10%2013 Hunter, B Hartford 38.33 0.201 1.88 47 2.28 58 33% 11%2013 Connell, J Kennesaw State 17.67 0.161 2.55 64 3.48 88 22% 10%2013 Clancy, M St Johns 32.33 0.212 1.95 49 2.70 68 29% 16%2013 Simons, J Louisville 20.67 0.281 4.79 121 3.78 95 20% 8%2013 Kozlowski, N Hofstra 23 0.205 1.96 49 2.93 74 20% 6%2013 Birkbeck, J Kent State 26 0.240 3.12 79 2.31 58 26% 9%2013 Covelle, P Franklin Pierce 28.67 0.132 0.63 16 3.61 91 24% 14%2013 McCarthy, J Southern New Hampshire U 20 0.273 4.95 125 4.35 110 18% 10%2013 Triece, S Washington State 17 0.25 4.76 120 2.67 67 30% 15%2013 Sosebee, D University of Georgia 44.67 0.259 3.63 92 3.17 80 19% 7%

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Keene Swampbats Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Lewicki, A University of Virginia 27.33 0.233 4.28 72 5.62 95 22% 10%2012 Grant, A UMASS Amherst 29.67 0.231 3.64 62 5.41 91 24% 14%2012 Horstman, R St. John's University 26.67 0.200 5.74 97 3.19 54 33% 13%2012 Mahoney, D UCONN 20.67 0.274 3.92 66 3.55 60 27% 11%2012 Ceja, J Louisville 21.67 0.309 6.65 112 6.74 114 13% 12%2012 Rogers, R Keystone College 26 0.324 7.96 135 5.79 98 15% 5%2012 Rafferty, C College of St. Joseph 19.33 0.352 8.38 142 6.06 103 16% 7%2012 McAvoy, K Bryant University 44.67 0.218 3.43 58 4.62 78 19% 6%2012 Gauthier, T Southern New Hampshire U 19.33 0.172 2.33 39 3.53 60 37% 10%2012 Simon, S Washington State 35.67 0.239 2.52 43 5.30 90 19% 7%2012 Pistorese, J Washington State 41.33 0.299 4.57 77 4.51 76 21% 5%2011 Mayberry, W University of Virginia 24.33 0.316 5.18 124 3.13 75 24% 4%2011 Wilson, J Cypress College 17 0.324 10.06 240 6.17 147 12% 13%2011 Medina, E St. John's 19.33 0.219 3.26 78 2.95 70 20% 6%2011 Cervone, A St. John's 14 0.196 6.43 153 3.26 78 29% 19%2011 Thompson, J Louisville 38 0.197 1.89 45 2.55 61 34% 10%2011 Mahoney, D UCONN 22.33 0.222 4.84 115 3.90 93 20% 10%2011 Gehrs, K Iowa Western CC 26.33 0.193 1.37 33 1.99 47 30% 10%2011 Skulina, T Kent State 34.67 0.279 5.71 136 4.12 98 13% 7%2011 Monroe, B Southern New Hampshire U 37.33 0.227 3.38 81 4.23 101 24% 7%2011 Ferguson, TJ Franklin Pierce 17.33 0.277 4.15 99 6.05 144 20% 11%2011 Flight, T Southern New Hampshire U 26 0.228 4.15 99 3.55 85 22% 6%2011 Williams, T Washington State 41.33 0.188 2.18 52 2.90 69 25% 10%2010 Firth, S Clemson 22.67 0.218 1.99 51 3.93 101 22% 12%2010 Scanlan, K University of Maine 35.67 0.266 3.53 91 2.94 75 22% 5%2010 Bazdanes, AJ University of Maine 31.67 0.262 6.25 161 5.36 138 23% 17%2010 Toyfair, T* University of Mass Lowell 25.33 0.280 3.91 100 3.45 89 16% 13%2010 Miller, J University of Maine 22.67 0.27 5.16 133 5.21 134 15% 13%2010 Frost, J Keystone College 24 0.232 1.50 39 1.84 47 27% 4%2010 Ferguson, TJ* Franklin Pierce 22.67 0.217 4.76 122 6.01 154 15% 22%2010 Lamothe, B* Franklin Pierce 19.00 0.217 2.37 61 3.32 85 31% 12%2010 Monroe, B Southern New Hampshire U 28.33 0.319 3.49 90 3.65 94 21% 4%2010 Wood, A University of Georgia 38.67 0.306 3.96 102 2.30 59 21% 6%2010 Maloof, T* University of Georgia 27.33 0.238 3.62 93 3.67 94 19% 12%2010 Eckelberger, P 32.67 0.264 4.68 120 4.43 114 12% 6%

Laconia Muskrats Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Mackenzie, W 0.338 6.09 17 101 0.233 0.656 96 18% 16%2015 Mims, B UNC Wilmington 0.361 13.16 30 115 0.368 0.847 153 24% 9%2015 McVicar, T Elon 0.335 4.28 12 99 0.351 0.777 132 32% 16%2015 Hanley, C Northeastern 0.366 15.04 33 117 0.347 0.765 129 12% 5%2015 Martinez, B 0.378 11.61 24 124 0.317 0.861 158 20% 27%2015 Stafford, D St Josephs 0.401 22.77 43 138 0.368 0.946 183 16% 9%2015 Gaffney, C UNC Wilmington 0.292 1.15 8 74 0.297 0.526 57 24% 6%2015 Lashley, B Florida Atlantic University 0.368 10.60 23 119 0.318 0.742 122 10% 6%2015 Grote, C Furman 0.322 8.69 28 92 0.333 0.691 106 12% 4%2015 Davison, J Howard College 0.340 9.95 26 102 0.320 0.629 88 20% 10%2015 DeMaria, V Iona 0.267 -0.53 16 60 0.241 0.485 44 20% 2%2014 Miller, B University of Nebraska Lincoln 0.326 4.91 19 86 0.312 0.650 87 19% 9%2014 Bielek, J Arizona State 0.299 0.82 7 70 0.389 0.653 88 28% 6%2014 Byrne, M Iona College 0.323 5.55 23 84 0.487 0.764 118 36% 12%2014 Martinez, B St Louis University 0.374 15.16 35 115 0.363 0.774 121 14% 10%2014 Masonia, N Troy 0.328 7.31 27 87 0.272 0.653 88 18% 13%2014 Henson, J St Louis University 0.381 9.79 22 119 0.313 0.793 126 12% 7%2014 Zarrillo, V Rutgers 0.377 17.95 41 117 0.393 0.826 135 16% 12%2014 Sundberg, J UCONN 0.337 6.46 21 92 0.310 0.618 78 23% 8%2014 Bottomley, C Florida Gulf Coast 0.368 12.12 29 112 0.376 0.802 129 14% 6%2014 Beall, C Arizona State 0.307 3.16 20 74 0.240 0.602 74 21% 6%2014 Copeland, C St Petersburg College 0.318 1.95 9 81 0.326 0.622 79 17% 10%2013 McBroom, R West Virginia 0.388 14.83 32 123 0.400 0.910 158 24% 10%2013 Bielek, J Arizona State University 0.358 13.45 35 105 0.320 0.798 127 26% 18%2013 Drake, T McNeese State 0.255 -3.60 14 45 0.259 0.518 51 36% 8%2013 White, C University of Memphis 0.323 6.13 23 85 0.255 0.598 72 18% 14%2013 Barlow, K University of West Florida 0.297 2.20 18 69 0.231 0.582 68 27% 12%2013 Torres, J Iona College 0.421 28.52 53 142 0.352 0.824 134 10% 20%2013 Peevyhouse, J Arizona State University 0.324 7.03 27 85 0.273 0.593 71 12% 8%2013 Lee, J Texas A U Corpus Christi 0.369 14.16 34 112 0.304 0.703 101 12% 8%2013 Campbell, T Vanderbilt 0.320 5.14 21 83 0.280 0.581 68 20% 6%

Laconia Muskrats Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Castellano, C Vanderbilt 0.308 -0.06 14 66 0.386 0.822 94 36% 5%2012 Collins, D Troy 0.501 34.61 65 159 0.391 1.279 197 19% 12%2012 Bennett, E Tennessee 0.408 7.56 20 114 0.372 1.038 143 27% 6%2012 Stringer, C Ft Scott CC 0.189 -7.94 3 9 0.233 0.524 28 48% 5%2012 Kelly, D 0.259 -2.88 7 43 0.194 0.572 40 35% 12%2012 Convissar, K Maryland 0.391 6.11 19 106 0.326 1.007 137 25% 5%2012 Duschinsky, D Southern Illinois University Carbondale 0.343 4.39 26 83 0.307 0.701 70 19% 12%2012 Conde, V Vanderbilt 0.376 10.65 37 99 0.341 0.887 111 26% 15%2012 Leathers, W Elon 0.410 9.77 26 115 0.500 1.033 145 24% 9%2012 Ziznewski, J Rockland CC 0.351 4.55 23 87 0.365 0.837 101 29% 14%2012 Torres, J Iona College 0.343 4.09 24 83 0.282 0.710 72 19% 16%2012 Flaherty, R Seminole State College 0.299 -1.28 20 62 0.268 0.734 77 37% 19%2012 Davis, M 0.329 1.40 13 77 0.321 0.683 66 16% 8%2012 Swatek, T Fordham University 0.264 -2.72 7 45 0.258 0.646 57 37% 15%2011 Wallach, C Cal State Fullerton 0.307 1.45 10 79 0.255 0.617 71 18% 8%2011 Dantzler, L State College of Florida 0.402 11.05 23 138 0.407 0.950 158 23% 16%2011 Costantino, C Walters State CC 0.363 10.41 28 114 0.378 0.886 141 26% 9%2011 Beck, J Iona College 0.222 -4.13 4 27 0.139 0.386 10 35% 5%2011 Fann, D Vanderbilt 0.324 2.74 12 90 0.226 0.531 49 15% 11%2011 Kelly, D Middle Georgia College 0.371 11.79 30 118 0.255 0.733 101 11% 10%2011 Burke, C Iona College 0.368 11.10 29 117 0.378 0.839 129 30% 8%2011 Rademacher, B Cal State Fullerton 0.367 11.48 30 116 0.313 0.810 121 16% 13%2011 Flaherty, R Vanderbilt 0.312 3.85 23 82 0.323 0.654 81 22% 9%2011 Johnson, W Vanderbilt 0.380 16.81 40 124 0.325 0.838 129 15% 17%2011 Sah, K Howard College 0.280 -0.54 12 63 0.302 0.545 53 26% 2%2011 Ziznewski, J Rockland CC 0.305 2.35 18 78 0.370 0.671 86 32% 15%2011 Keeton, K Walters State CC 0.302 2.35 21 76 0.254 0.518 45 16% 3%2010 Trent, D East Tennessee State 0.356 13.52 36 112 0.294 0.727 107 16% 7%2010 Bass, B East Carolina University 0.314 3.66 18 86 0.355 0.652 87 23% 15%2010 Epps, P Central Connecticut State 0.323 5.85 24 91 0.376 0.731 109 28% 5%2010 Iocomini, A University of South Carolina 0.304 3.31 23 79 0.303 0.604 74 25% 13%2010 Rombilus, T University of New Haven 0.284 0.13 17 66 0.318 0.580 67 26% 8%2010 Kalenkosky, C Cisco College 0.358 11.34 30 113 0.353 0.840 138 27% 18%2010 Kirsch, A North Central Texas cc 0.339 4.70 15 102 0.297 0.645 85 15% 11%2010 Harding, R Spartanburg Methodist 0.335 6.32 21 99 0.242 0.578 67 10% 7%2010 Marzilli, E University of South Carolina 0.365 6.78 17 118 0.429 0.839 138 34% 25%2010 Fraser, N Elon 0.310 2.76 15 83 0.324 0.616 77 20% 8%2010 Lewis, R Columbus State University 0.360 12.95 34 115 0.294 0.686 96 14% 11%

Laconia Muskrats Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Moore, J Saint Louis University 48.67 0.265 3.51 97 2.84 79 18% 6%2015 Vanderslice, P St Josephs 42.67 0.248 4.22 117 3.09 86 15% 4%2015 Easter, A UNC Wilmington 14.33 0.3 6.28 174 4.39 122 21% 10%2015 Spangler, L Florida International 16.67 0.254 2.70 75 2.35 65 23% 9%2015 Coughlin, B University of Southern Mississippi 44.67 0.305 4.23 117 4.34 120 14% 9%2015 Kelly, B Molloy College 24.67 0.314 6.57 182 4.77 132 16% 7%2015 Sittinger, B Ashland University 35.33 0.239 4.33 120 2.84 79 26% 12%2015 Viehoff, T Southern New Hampshire 51.00 0.153 1.76 49 3.11 86 29% 10%2015 Gentile, M American International College 17.67 0.227 6.11 169 3.07 85 24% 15%2014 English, J Florida Gulf Coast 41.33 0.174 1.52 41 3.32 88 22% 13%2014 Young, J Rutgers 22.33 0.25 4.43 118 2.72 72 20% 8%2014 Spitzbarth, S Molloy College 46.67 0.193 1.93 51 2.74 73 27% 8%2014 Frank, A Dartmouth 15.33 0.263 7.05 187 5.24 140 22% 24%2014 Rivera, M Iona College 47.33 0.241 3.99 106 3.25 87 23% 12%2014 Carmichael, J University of Florida 30 0.265 4.20 112 4.63 123 14% 17%2014 Freeman, E University of Tennessee 26 0.307 4.50 120 2.73 73 21% 9%2014 Sheffield, J Vanderbilt 35 0.252 5.14 137 4.68 125 20% 18%2014 Skinner, M Troy 23 0.198 1.57 42 3.85 102 19% 10%2014 Lipinski, J Palm Beach State College 27.67 0.333 7.16 190 3.52 94 10% 8%2013 Blalock, W Lipscomb U 32 0.236 1.69 44 2.57 66 17% 2%2013 Tezak, R West Virginia 18.67 0.253 1.45 37 1.43 37 30% 6%2013 Prevost, J Seton Hall 24.00 0.176 1.13 29 2.15 56 27% 8%2013 Phillips, E UNC Wilmington 36 0.271 5.75 148 5.00 129 19% 16%2013 Rahn, E Wheaton College 46.33 0.257 2.53 65 3.39 87 14% 6%2013 Moody, J University of Memphis 16.67 0.194 8.64 223 4.40 113 31% 28%2013 Kevlin, N Ft Scott CC 26.67 0.300 3.71 96 4.25 110 15% 15%2013 Macaluso, E Iona College 28.33 0.241 2.54 66 5.21 134 14% 7%2013 Wilson, N Vanderbilt 34.67 0.304 6.49 167 3.83 99 19% 15%2013 Longoria, A Texas A U Corpus Christi 13.33 0.305 4.73 122 4.17 108 19% 12%2013 Parker, D South Carolina Lancaster 34 0.200 1.85 48 3.52 91 17% 7%

Laconia Muskrats Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Swatek, T Fordham University 21.67 0.169 3.74 65 4.30 74 24% 4%2012 Ponto, T St. Josephs 20.33 0.25 4.87 84 6.35 110 15% 14%2012 Mullen, K St Josephs 35 0.277 6.17 106 5.22 90 25% 10%2012 Kevlin, N Dominican College 20.67 0.231 5.66 98 6.16 106 17% 10%2012 Aldrich, M Darton College 34.33 0.289 8.39 145 6.09 105 28% 16%2012 Manuppelli, N Youngstown State 11.33 0.255 6.35 110 6.79 117 32% 9%2012 Kriss, T Iona College 20 0.247 4.50 78 2.89 50 36% 10%2012 Blanc, R Franklin Pierce University 14 0.298 6.43 111 5.57 96 24% 14%2012 McGowan, K Franklin Pierce University 16.67 0.231 6.48 112 4.03 70 35% 13%2012 Healy, J St. Anslem College 21.33 0.326 9.28 160 6.93 120 26% 13%2012 Sullivan, A Northwest Florida St College 35.33 0.25 6.62 114 6.70 116 27% 15%2012 Wilson, N Vanderbilt 28.67 0.3 6.91 119 4.14 71 22% 13%2012 Smith, E Walters State CC 19 0.225 5.21 90 4.74 82 16% 12%2011 Steinman, C Georgetown 40.33 0.287 5.13 125 3.02 74 19% 7%2011 Woodward, J St. Johns University 12 0.275 7.50 183 6.72 164 18% 22%2011 Prince, W UNC Wilmington 18.67 0.263 2.89 70 2.35 57 27% 7%2011 Eliopoulos, A Johns Hopkins 35 0.231 3.34 81 3.96 97 17% 13%2011 Zambron, B Grand Valley State 19.67 0.341 9.61 234 1.83 45 28% 0%2011 Wiley, J Iona College 38 0.236 3.08 75 3.65 89 19% 5%2011 Glynne, H Central Connecticut State 25.33 0.252 3.20 78 4.35 106 20% 4%2011 LeBarron, Z Southern New Hampshire 22.00 0.241 1.64 40 3.28 80 18% 13%2011 Costantino, C Walters State CC 47 0.17 2.30 56 1.96 48 32% 10%2011 Taylor, C Harford CC 16 0.250 3.94 96 3.61 88 22% 12%2011 Magnifico, D Howard JC 18.33 0.239 5.40 132 5.67 138 20% 14%2011 Furney, S CC of Rhode Island 17.67 0.286 11.21 273 7.75 189 15% 11%2011 Smith, E Walters State CC 30.33 0.310 7.72 188 5.65 138 17% 10%2010 Walker, R* UNC Wilmington 16.67 0.314 5.94 156 4.55 119 15% 15%2010 Krisman, N* Judson University 31.33 0.196 1.44 38 2.92 77 20% 3%2010 Joyner, T East Carolina University 45.67 0.201 1.97 52 2.79 73 28% 12%2010 Jewell, G* Southern New Hampshire U 20.67 0.211 1.31 34 3.00 79 24% 14%2010 White, M Stonehilll College 27.00 0.238 3.00 79 3.09 81 11% 7%2010 Munson, L University of South Carolina 20.67 0.296 4.35 114 5.95 156 14% 19%2010 Owings, K Spartanburg Methodist 37.00 0.241 3.89 102 4.51 118 21% 8%2010 Harrison, J North Central Texas cc 22.67 0.171 0.79 21 3.27 86 23% 16%2010 Miller, J 33.00 0.178 1.64 43 1.42 37 34% 8%

Mystic Schooners Hitters, 2014-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Berardi, J St. Johns 0.342 9.14 24 115 0.311 0.724 116 17% 6%2015 Ruta, B Wagner College 0.390 21.11 41 143 0.406 0.892 167 16% 9%2015 Iannotti, L Quinnipiac 0.385 12.91 26 140 0.333 0.804 141 10% 26%2015 Jenkins, D Seton Hall 0.311 4.74 18 96 0.250 0.536 60 18% 7%2015 Slenker, R Yale 0.380 14.08 29 137 0.333 0.781 133 6% 9%2015 Moore, C Lamar 0.240 -2.67 7 55 0.261 0.447 33 38% 8%2015 Baker, C 0.356 5.54 13 123 0.275 0.621 86 9% 12%2015 Meyers, J University of Nebraska 0.385 11.48 23 140 0.342 0.768 130 9% 8%2015 Hill, A UCONN 0.333 9.63 28 109 0.360 0.671 101 28% 17%2015 Hoy, D Princeton 0.384 17.55 35 139 0.340 0.879 163 20% 20%2015 Brucker, J Marist 0.326 6.48 20 105 0.316 0.621 85 13% 7%2015 Mascelli, N Wagner College 0.349 11.94 30 119 0.324 0.727 117 15% 16%2014 Zunica, B Miami 0.348 12.19 28 120 0.352 0.865 171 38% 15%2014 Laurino, S Marist 0.409 22.81 39 157 0.431 0.913 186 11% 13%2014 Hoy, D Princeton 0.376 16.44 32 137 0.417 0.862 170 21% 8%2014 Hinckley, A Connecticut Avery Point 0.270 0.19 9 72 0.229 0.614 90 44% 16%2014 Livingston, C University of Rhode Island 0.314 3.78 12 99 0.288 0.596 85 19% 7%2014 Ianotti, L Quinnipiac 0.337 5.09 13 113 0.263 0.656 104 13% 6%2014 Boyd, T 0.309 3.71 13 96 0.254 0.651 102 15% 17%2014 Ruppert, N Darmouth 0.295 3.71 17 88 0.234 0.584 81 28% 12%2014 Hill, A UCONN 0.354 13.48 29 124 0.461 0.874 174 30% 13%2014 Chiaradio, C Seton Hall 0.244 -2.20 7 57 0.186 0.380 15 26% 10%2014 Hendren, J Heartland CC 0.292 2.15 11 86 0.386 0.616 91 41% 19%2014 Handley, T Stony Brook University 0.400 19.64 35 152 0.411 0.867 171 16% 9%2014 Weigel, Z Seton Hall 0.327 9.88 27 107 0.293 0.612 90 17% 9%

Mystic Schooners Hitters, 2011-2013

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2013 Keller, A Princeton 0.376 14.77 28 136 0.316 0.786 145 13% 10%2013 Oherron, M Franklin Pierce 0.299 4.83 19 91 0.256 0.531 63 19% 15%2013 Kennedy, G University of Miami 0.306 4.72 16 95 0.295 0.596 84 27% 14%2013 Boyd, T Seton Hall 0.390 22.75 42 144 0.289 0.873 173 18% 19%2013 Holland, K Dakota State 0.326 4.09 11 107 0.302 0.599 85 15% 2%2013 Cipolla, B Holy Cross College 0.341 10.96 26 116 0.348 0.827 158 33% 23%2013 Turgeon, A Central Connecticut State 0.282 2.39 15 81 0.286 0.540 66 30% 6%2013 Darras, N Cal State Fullerton 0.405 16.76 29 154 0.395 0.892 179 16% 10%2013 Zolga, B Fairfield U 0.270 0.51 8 74 0.344 0.545 68 45% 19%2013 Campbell, B University of Maryland Eastern Shore 0.286 3.40 19 84 0.319 0.662 105 38% 15%2013 Flint, K Sacred Heart 0.317 9.01 27 102 0.352 0.652 102 24% 15%2013 Rosencrance, J St. Bonaventure 0.269 0.47 9 73 0.405 0.631 95 42% 23%2013 Lopez, B University of Miami 0.246 -1.19 6 60 0.180 0.387 17 21% 8%2013 Touhey, A Hartford 0.301 4.98 19 93 0.282 0.562 73 25% 10%2012 Kelleher, S Lafayette College 0.263 -2.12 12 68 0.232 0.551 41 31% 9%2012 Matos, J University of Central Florida 0.276 -0.86 12 74 0.353 0.789 103 50% 14%2012 Oherron, M Franklin Pierce 0.292 0.86 19 82 0.375 0.646 70 31% 13%2012 David, C UCONN 0.250 -2.85 9 62 0.208 0.440 13 25% 8%2012 Romanski, J San Diego State 0.284 -0.08 10 78 0.220 0.485 26 16% 13%2012 Holland, K Dakota State 0.322 1.91 9 96 0.348 0.641 67 10% 2%2012 Turgeon, A Central Connecticut State 0.300 1.81 20 86 0.266 0.646 67 23% 11%2012 Lezynski, B Notre Dame 0.313 3.32 21 92 0.263 0.608 57 20% 10%2012 Yavarone, E UCONN 0.316 4.62 27 93 0.327 0.715 86 24% 8%2012 Santomauro, A Lafayette College 0.347 7.41 25 108 0.279 0.716 83 20% 3%2012 Lindemuth, R William and Mary 0.390 8.09 19 129 0.364 0.848 122 15% 9%2012 Haynes, S University of Central Florida 0.304 2.46 21 88 0.311 0.645 66 21% 3%2011 Kelleher, S Lafayette College 0.212 -6.45 7 44 0.153 0.285 -18 28% 6%2011 Doran, B Stanford 0.389 17.45 33 153 0.356 0.856 156 15% 13%2011 Hudson, J Notre Dame 0.364 13.38 29 138 0.241 0.795 137 20% 9%2011 Griffiths, C Stanford 0.333 7.68 21 118 0.378 0.749 124 26% 15%2011 Kudernatsch, S University of Hartford 0.317 6.19 20 108 0.319 0.680 102 21% 5%2011 Miller, P Northwestern 0.224 -3.02 5 51 0.114 0.303 -13 28% 13%2011 Casey, K Lafayette College 0.313 6.36 22 106 0.389 0.768 129 38% 15%2011 Perkins, D 0.257 -0.68 6 71 0.224 0.432 26 20% 3%2011 Ortiz, G Virginia Tech 0.313 7.09 24 106 0.341 0.722 115 33% 8%2011 Ferraresi, N Columbia University 0.332 7.08 19 118 0.355 0.795 138 31% 11%2011 Landers, H Wheaton College 0.344 8.14 20 125 0.400 0.750 125 26% 17%2011 Maier, S Williams College 0.242 -2.67 9 62 0.242 0.482 41 35% 5%2011 Murphy, J Sacred Heart University 0.390 12.24 23 153 0.282 0.744 122 15% 14%

Mystic Schooners Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Nepiarsky, S UCONN 39.67 0.218 2.27 63 2.94 81 22% 4%2015 Rivera, J UCONN 19.67 0.236 4.58 127 5.35 148 20% 15%2015 Rios, W Maryland 35 0.202 1.80 50 2.72 75 28% 16%2015 Lepore, J Miami 24 0.247 3.75 104 4.44 123 20% 11%2015 Meyers, J University of Nebraska 17.67 0.304 2.55 70 3.58 99 12% 12%2015 Holmes, T Fisher College 29 0.215 2.17 60 2.86 79 21% 8%2015 Horton, M Cornell University 13.67 0.28 2.63 73 3.43 95 20% 15%2015 Concato, M Dartmouth 20.67 0.25 3.92 108 2.39 66 22% 9%2015 Gonzalez III, O Eastern Connecticut State 28.33 0.25 5.08 141 3.98 110 25% 6%2015 Keenan, S Marist 19 0.217 1.42 39 3.44 95 21% 11%2015 Thomas, R Marist 22 0.25 2.45 68 2.48 69 22% 9%2015 Foley, J Sacred Heart 18.00 0.131 0.50 14 1.01 28 33% 2%2015 Adams, M Wagner College 25.67 0.232 1.05 29 4.00 111 15% 13%2015 Orielly, M Flagler College 17 0.238 1.06 29 1.30 36 32% 6%2015 Turner, T Trinity 16.33 0.172 0.55 15 2.88 80 18% 11%2015 Domnarski, D Connecticut Avery Point 14.67 0.3 6.13 170 3.95 109 14% 9%2014 Brass, N Stony Brook University 13.33 0.163 1.35 42 1.34 42 25% 4%2014 Kalica, C St. John's 37.67 0.288 5.02 157 4.01 126 20% 4%2014 Concato, M Dartmouth 39 0.248 1.62 51 1.59 50 22% 5%2014 Concato, L Dartmouth 18.67 0.282 2.89 91 2.39 75 21% 11%2014 Trimarco, F Monmouth 34.67 0.234 3.37 106 2.94 92 23% 10%2014 Hendren, J Heartland CC 18.67 0.176 0.96 30 1.64 51 30% 10%2014 Veth, M Wheaton College 13.67 0.259 3.29 103 4.74 148 13% 8%2014 Long, N Wagner College 38.67 0.197 3.96 124 3.46 108 28% 13%2014 Turnier, AJ Southern Connecticut State 35.33 0.239 3.31 104 2.96 93 17% 9%2014 Egan, P Southern Connecticut State 21.67 0.292 3.74 117 2.95 92 21% 11%2014 Pape, J Georgia College & State 19.33 0.267 4.66 146 5.82 182 15% 13%2014 Vargas, A Monroe College 24 0.156 0.75 23 3.56 111 18% 18%2014 Domnarski, D Connecticut Avery Point 22.67 0.267 3.57 112 2.81 88 9% 5%2013 Gouin, A Hartford 24.33 0.186 1.11 34 2.66 81 32% 12%2013 Rosencrance, J St. Bonaventure 26.67 0.17 2.02 61 3.31 100 15% 6%2013 Stillwagon, S Cal State Fullerton 9.67 0.275 3.72 113 4.13 125 12% 5%2013 Eckerle, M LIU Post 26 0.265 6.58 200 5.66 172 21% 17%2013 Galan, A Brown 47.33 0.249 3.04 92 3.83 116 14% 7%2013 Concato, L Dartmouth 28.67 0.301 5.65 172 3.93 119 27% 7%2013 Donatiello, N Princeton 17 0.315 6.88 209 4.20 127 26% 7%2013 Sowa, K Rider 41.33 0.221 3.05 93 3.66 111 22% 8%2013 Panciera, T Fairfield 15.67 0.295 4.02 122 4.92 149 8% 11%2013 Stoddard, J Sacred Heart 24 0.258 2.25 68 2.86 87 22% 7%2013 Gleason, C Franklin Pierce 16 0.204 2.25 68 4.26 129 21% 15%2013 Gonzalez III, O Southern New Hampshire 14.33 0.157 2.51 76 1.94 59 32% 10%2013 Turnier, AJ Southern Connecticut State 16 0.281 2.81 85 3.70 112 18% 16%2013 Bryant, C Southern Connecticut State 24 0.244 4.13 125 2.53 77 26% 7%2013 Egan, P Southern Connecticut State 22 0.287 5.32 161 4.29 130 15% 13%

Mystic Schooners Pitchers, 2011-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Stone, E Boston College 23 0.312 7.83 159 6.27 127 19% 14%2012 Gouin, A Hartford 26.67 0.345 6.07 123 4.54 92 18% 6%2012 Fiste, A Hartford 15.67 0.267 10.34 210 6.72 137 12% 18%2012 LeBlanc, C UMASS Amherst 29.33 0.405 9.21 187 8.32 169 6% 8%2012 Lopez, J Seton Hall 17.67 0.278 5.09 103 5.88 119 29% 13%2012 Rataic, AJ St Edwards University 20 0.317 6.30 128 7.44 151 12% 6%2012 Concato, L Dartmouth 38 0.307 5.21 106 5.37 109 19% 8%2012 Porter, G Eastern Connecticut State 14.67 0.308 7.36 150 7.20 146 28% 18%2012 Cook, B Amherst College 35 0.351 5.91 120 3.65 74 17% 7%2012 Marino, S Williams College 19.67 0.269 10.98 223 7.55 153 8% 21%2012 Stoddard, J Sacred Heart 28.67 0.259 4.71 96 4.45 90 21% 11%2011 Hodges, R Virginia Tech 21 0.237 3.86 111 3.43 98 19% 9%2011 Okeefe, C Virginia Tech 25 0.368 10.80 310 7.09 203 11% 19%2011 Norris, A Florida Gulf Coast U 38 0.225 1.89 54 4.47 128 13% 9%2011 Liska, S Xavier University 30.33 0.167 1.78 51 2.82 81 25% 10%2011 Geary, J Coastal Carolina U 42.33 0.26 2.76 79 2.08 60 32% 10%2011 Doyle, M Harvard 25.33 0.221 1.78 51 1.86 53 32% 11%2011 Bordonaro, M Fairfield University 25.33 0.146 1.78 51 1.51 43 37% 9%2011 Soldinger, J Manhattan College 23.67 0.33 5.70 163 4.87 139 23% 8%2011 Schlitter, C Bryant University 31.33 0.168 1.44 41 3.18 91 23% 13%2011 Brown, H Azusa Pacific U 16.33 0.262 6.06 174 8.07 231 8% 7%2011 Bloom, S Stanford 23 0.211 1.96 56 2.92 84 17% 5%2011 Plate, M Furman University 22 0.25 3.68 106 3.37 97 19% 6%2011 Kliniske, A North Dakota State 17 0.338 9.53 273 5.81 167 12% 16%

New Bedford Bay Sox Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Critelli, A Holy Cross College 0.349 13.33 33 122 0.316 0.735 119 19% 11%2015 Shaw, T Sacred Heart 0.327 7.44 23 109 0.360 0.732 119 26% 10%2015 Lind, C Northwestern University 0.334 5.11 14 113 0.392 0.737 120 25% 6%2015 Morris, M Villanova 0.330 7.17 21 111 0.364 0.697 109 25% 14%2015 Friar, J Sacred Heart 0.198 -6.50 4 33 0.216 0.362 8 37% 9%2015 Huesman, A Dayton 0.248 -1.80 7 62 0.200 0.408 22 28% 6%2015 Ortiz, C North Carolina Central U 0.238 -2.85 7 56 0.195 0.502 50 40% 14%2015 Sullivan, J Sacred Heart 0.384 13.39 27 142 0.410 0.852 155 20% 7%2015 Dixon, T Samford 0.319 7.08 24 104 0.327 0.624 86 20% 12%2015 Baldwin, R Barry 0.330 8.12 24 111 0.330 0.679 103 24% 12%2015 Orris, T Millersville University 0.381 15.35 31 140 0.336 0.748 124 8% 15%2015 Andrews, R Eckerd College 0.298 3.91 21 92 0.265 0.582 74 30% 17%2014 Papa, L Broward College 0.275 1.58 13 83 0.293 0.544 71 28% 9%2014 Cecere, J Georgia College & State 0.279 2.38 15 85 0.205 0.458 42 21% 13%2014 Perry, D Fisher College 0.255 -0.34 5 71 0.278 0.481 50 31% 6%2014 Gilbert, M Southern Mississippi 0.351 11.04 23 129 0.320 0.736 136 15% 4%2014 Johnson, B 0.326 5.64 14 114 0.283 0.650 107 24% 19%2014 Travers, C Roger Williams University 0.279 1.82 12 85 0.262 0.543 71 29% 9%2014 Mackinnon, D Hartford 0.371 13.08 25 141 0.380 0.771 148 7% 7%2014 Biggio, C Notre Dame 0.264 0.22 8 76 0.229 0.492 54 31% 17%2014 Moses, W Northwestern 0.303 5.50 18 100 0.291 0.618 97 25% 11%2014 Smith, J College of William and Mary 0.294 4.45 18 94 0.253 0.588 86 28% 7%2014 LaVorgna, C Franklin Pierce 0.255 -0.59 9 71 0.190 0.396 22 27% 9%2014 Odwyer, C Arizona State 0.284 2.27 12 88 0.321 0.584 85 33% 19%2013 Shaw, C Boston College 0.402 26.11 44 159 0.392 0.920 198 18% 14%2013 Nogay, M West Virginia 0.371 15.36 29 140 0.354 0.834 169 21% 11%2013 Pierce, S Sam Houston State 0.321 5.28 13 111 0.298 0.655 108 28% 20%2013 Travers, C Roger Williams 0.379 17.70 32 145 0.402 0.860 178 21% 21%2013 Lopez, M 0.277 2.16 13 85 0.258 0.569 79 28% 13%2013 Witkus, A Fairfield 0.328 5.50 13 115 0.375 0.675 115 21% 3%2013 Pomeroy, C Georgetown 0.247 -0.69 6 68 0.350 0.503 57 37% 8%2013 Richards, L Notre Dame 0.295 6.31 22 96 0.300 0.535 68 19% 7%2013 Plourde, R Fairfield 0.378 23.45 43 144 0.346 0.784 152 16% 20%2013 Anderson, C Bryant 0.363 17.95 35 136 0.383 0.769 147 19% 9%2013 Seiders, K Millersville U 0.278 3.20 18 86 0.309 0.542 71 29% 9%2013 Dundon, A Marshall 0.293 4.54 17 95 0.308 0.604 92 22% 6%

New Bedford Bay Sox Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Baldock, A University of Buffalo 0.383 19.06 43 133 0.340 0.875 134 23% 15%2012 Stone, Z Millersville U 0.424 29.55 57 153 0.429 0.981 165 15% 11%2012 Salvo, S Fairfield University 0.319 2.87 12 102 0.311 0.669 77 23% 10%2012 Lalli, A Southern New Hampshire U 0.332 7.96 27 109 0.342 0.804 115 33% 18%2012 Hart, P Kennesaw State 0.328 9.23 34 107 0.393 0.738 98 29% 14%2012 Black, A Columbia U 0.411 26.01 52 146 0.371 0.939 152 18% 9%2012 King, E Millersville U 0.316 7.54 34 101 0.262 0.625 67 22% 19%2012 Riley, S Bridgewater College 0.327 5.60 21 106 0.377 0.763 106 30% 21%2012 Eggleston, B Stetson 0.308 2.40 13 97 0.309 0.577 53 20% 4%2012 Witkus, A Fairfield University 0.315 2.61 12 100 0.182 0.663 76 32% 15%2012 Anderson, C Bryant 0.291 1.39 14 89 0.344 0.652 73 26% 9%2012 Obrien, B Southern New Hampshire U 0.256 -1.24 7 72 0.314 0.517 37 35% 9%2012 Graczyk, Z SUNY Cortland 0.389 17.25 38 136 0.297 0.771 105 13% 10%2011 DiBiase, M Brown 0.353 13.30 29 136 0.425 0.824 156 28% 23%2011 Connolly, M University of Maine 0.267 0.41 15 83 0.242 0.472 41 24% 2%2011 Shaban, B James Madison 0.299 5.58 22 103 0.265 0.531 61 25% 15%2011 Haugh, D Wheaton 0.243 -2.13 9 69 0.246 0.440 30 29% 6%2011 Lalli, A Central Connecticut State 0.315 8.02 25 113 0.275 0.637 94 24% 13%2011 Edwards, T UNC Greensboro 0.331 8.85 23 123 0.287 0.704 115 22% 4%2011 Miller, B 0.299 2.62 10 103 0.205 0.633 92 34% 13%2011 Gay, C University of Maine 0.316 6.30 19 114 0.250 0.581 76 22% 12%2011 Markson, C Notre Dame 0.268 0.39 10 84 0.296 0.494 48 29% 10%2011 Botsford, B Le Moyne 0.304 5.54 20 106 0.317 0.618 88 21% 4%2011 Messier, J UMASS Amherst 0.265 0.12 10 82 0.206 0.410 21 17% 7%2010 Nelson, A Villanova 0.291 3.39 15 99 0.264 0.566 78 26% 12%2010 Griffiths, C Stanford 0.364 12.11 24 146 0.318 0.748 139 14% 14%2010 Merck, D Gardner Webb Unversity 0.327 10.58 27 123 0.370 0.729 133 27% 11%2010 Johnson, M Samford University 0.232 -1.61 4 62 0.361 0.551 73 33% 2%2010 Haugh, D Wheaton College 0.306 5.12 17 109 0.231 0.563 77 20% 13%2010 Green, M Wichita State 0.250 -1.08 8 73 0.262 0.452 40 28% 5%2010 Greco, M USC 0.295 4.50 19 102 0.338 0.647 105 32% 11%2010 Chavez, M University of San Fransisco 0.373 17.43 34 152 0.479 0.922 198 28% 9%2010 Botsford, B LeMoyne College 0.362 12.86 26 145 0.372 0.771 147 19% 14%2010 Dwelly, D Barry 0.331 10.44 26 125 0.330 0.644 104 18% 8%2010 Morton, Z Northwestern 0.284 1.44 8 95 0.257 0.506 58 31% 21%

New Bedford Bay Sox Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Dant, C Dayton 39.67 0.163 2.27 63 3.19 88 16% 8%2015 Brey, H Rutgers 49.33 0.278 4.38 121 4.26 118 13% 6%2015 Southerland, D Wheaton College 17.33 0.238 2.60 72 3.47 96 16% 7%2015 Thomas, J Quinnipiac 39.67 0.243 2.72 75 2.84 79 15% 7%2015 Vernon, A North Carolina Central U 29 0.208 1.86 52 4.31 119 21% 13%2015 Young, M Stonehill College 37.33 0.264 3.86 107 3.52 98 13% 6%2015 Escobar, J Holy Cross College 16.67 0.111 1.08 30 2.05 57 38% 17%2015 Reese, P Holy Cross College 31.33 0.233 4.60 127 2.43 67 19% 8%2015 Binder, M Millersville University 16 0.246 2.81 78 3.07 85 19% 6%2015 Stephenson, S Millersville University 15 0.333 7.80 216 2.67 74 20% 10%2015 Rodriguez, G Eastern Florida State College 32.33 0.17 2.23 62 2.79 77 21% 11%2014 Tully, S Notre Dame 24.67 0.171 3.28 107 1.67 55 38% 11%2014 Simms, T West Virginia 16 0.213 3.94 129 1.64 54 34% 14%2014 Mason, R Northwestern 30 0.306 4.20 137 2.26 74 17% 4%2014 Cook, B Broward College 44.33 0.314 5.48 179 3.62 119 18% 7%2014 Superko, T Tufts University 28 0.319 7.39 242 5.76 189 12% 14%2014 Wertz, D Sacred Heart 17.33 0.239 2.08 68 2.01 66 17% 5%2014 Davitt, J Bryant 38.33 0.213 2.35 77 2.32 76 25% 10%2014 Perron, J Holy Cross College 18.33 0.222 1.96 64 4.07 133 22% 18%2014 Cravero, J Holy Cross College 22.33 0.35 4.43 145 4.06 133 12% 8%2014 Labozetta, B Polk State College 24.67 0.274 2.92 96 2.52 83 18% 9%2014 Gutwoski, J Eckerd College 43 0.266 2.93 96 3.07 100 12% 5%2013 Janco, R Duke 33 0.290 3.27 104 3.62 115 16% 11%2013 Friar, N Northwestern 29 0.297 4.03 128 4.33 138 22% 12%2013 Tyson, D Northwestern 32.67 0.260 4.13 131 2.68 85 23% 11%2013 Dodge, S Harvard 43.67 0.253 3.92 124 4.04 128 17% 15%2013 Tsoumakas Jr, C Rhode Island College 17.00 0.254 2.12 67 2.37 75 17% 4%2013 Weber, G Bradley 11 0.295 5.73 182 6.74 214 13% 29%2013 Lieske III, J Heartland CC 39 0.157 3.00 95 4.45 141 19% 14%2013 Lacosse, T Bryant 15.67 0.300 2.87 91 3.71 118 19% 10%2013 Vilacha, F New Haven 45 0.274 4.00 127 2.51 80 19% 7%2013 Fournier, A Franklin Pierce 23 0.247 5.48 174 5.20 165 22% 24%2013 Orourke, B Franklin Pierce 29.33 0.202 6.44 205 3.54 112 28% 17%2013 Forbes, T UCLA 11.67 0.400 19.28 612 7.82 248 14% 21%2013 Perron, J Holy Cross College 22 0.280 4.91 156 4.20 133 16% 17%

New Bedford Bay Sox Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Derner, B George Washington U 37.67 0.204 1.91 41 2.28 48 30% 8%2012 Cross, C Kennesaw State 33 0.235 3.00 64 4.73 100 21% 15%2012 Greenspoon, I Stetson 25.33 0.271 3.20 68 4.38 93 23% 19%2012 Fitzgerald, S Notre Dame 38.67 0.298 6.05 128 5.73 122 20% 7%2012 Friar, N Northwestern 24 0.369 8.63 183 6.45 137 20% 9%2012 Dodge, S Harvard 25.67 0.275 7.01 149 4.61 98 29% 13%2012 Lieske, J Illinois State 31 0.28 3.77 80 4.72 100 18% 9%2012 Massad, J Southern New Hampshire U 30 0.189 3.30 70 3.75 80 27% 10%2012 Vilacha, F New Haven 43.67 0.345 5.77 122 6.06 129 18% 7%2012 Murray, D Holy Cross College 35.33 0.259 3.06 65 4.98 106 20% 7%2012 Walker, T South Dakota State 19.33 0.219 5.12 109 5.44 116 17% 17%2011 Janas, S Kennesaw St 33 0.277 1.64 49 1.75 52 22% 5%2011 Terhune, G Seton Hall University 39.33 0.248 2.29 69 4.09 123 11% 7%2011 Mangione, R Seton Hall University 19 0.254 5.68 170 3.68 110 24% 20%2011 Fitzgerald, S Notre Dame 40.33 0.262 4.91 147 4.12 123 22% 8%2011 Alex, D Keystone College 17.33 0.215 2.60 78 3.68 110 14% 13%2011 Dodge, S Harvard 13 0.180 3.46 104 3.97 119 20% 19%2011 Barsotti, M Wesleyan University 17.33 0.215 4.15 124 2.07 62 24% 7%2011 Oneil, B Bryant 38.33 0.239 3.05 91 5.27 158 10% 14%2011 Lambe, E Le Moyne University 21.00 0.176 0.43 13 2.62 79 26% 14%2011 Marra, T Holy Cross 32.67 0.244 3.03 91 4.03 121 15% 10%2011 Putkonen, K Samford 34 0.214 2.12 63 2.40 72 21% 6%2011 Messier, A Westfall State 16.67 0.235 2.70 81 4.19 125 17% 14%2010 Farrell, L Northwestern 37.00 0.229 3.65 118 3.51 113 21% 12%2010 Morton, Z Northwestern 37.33 0.289 4.34 140 2.03 66 23% 7%2010 Bloom, S Stanford 30.67 0.274 3.52 113 3.41 110 16% 9%2010 Kolinsky, K* Vanderbilt 21.33 0.183 1.27 41 2.21 71 26% 10%2010 Harrison, G* University of South Carolina 20.00 0.234 4.05 131 3.65 118 26% 11%2010 Overcash, R Davidson College 48.33 0.284 4.28 138 2.74 88 15% 5%2010 Lamb, C Davidson College 47.33 0.239 2.09 67 1.89 61 24% 7%2010 Bobb, A University of San Fransisco 35.33 0.273 3.31 107 2.63 85 13% 1%

Newport Gulls Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Beermann, M Villanova 0.350 13.23 32 109 0.350 0.798 138 26% 7%2015 Gamache, R Binghamton 0.346 14.02 36 107 0.348 0.715 114 15% 14%2015 Donlin, S Washington State 0.358 8.81 20 114 0.429 0.760 127 17% 10%2015 Bouchard, S UCLA 0.307 2.56 11 84 0.300 0.679 103 32% 11%2015 Lugbauer, D Michigan 0.392 19.48 38 134 0.341 0.941 182 28% 29%2015 Lugbauer, D Michigan 0.392 19.48 38 134 0.341 0.941 182 28% 29%2015 Afenir, J Kansas 0.411 24.26 44 145 0.390 0.919 175 15% 11%2015 Afenir, J Kansas 0.411 24.26 44 145 0.390 0.919 175 15% 11%2015 Littell, J Oklahoma State 0.312 6.23 24 87 0.379 0.716 114 25% 8%2015 Littell, J Oklahoma State 0.312 6.23 24 87 0.379 0.716 114 25% 8%2015 Elliott, C Washington State 0.291 2.59 17 74 0.169 0.462 38 19% 14%2015 Wolf, J Trinity University 0.365 14.39 32 118 0.321 0.779 133 16% 14%2015 Wolf, J Trinity University 0.365 14.39 32 118 0.321 0.779 133 16% 14%2015 Brodey, Q Stanford 0.409 9.22 17 144 0.310 0.957 186 21% 14%2015 Sabino, L Vanderbilt 0.278 0.59 11 67 0.322 0.592 77 27% 9%2014 Green, T Vanderbilt 0.345 5.61 16 99 0.368 0.810 132 24% 13%2014 Wright, C Kansas 0.324 4.18 16 86 0.305 0.676 95 26% 17%2014 Wright, C Kansas 0.324 4.18 16 86 0.305 0.676 95 26% 17%2014 Donlin, S Washington State 0.304 2.34 16 74 0.308 0.583 70 22% 9%2014 Gamache, R Binghamton 0.352 7.99 22 103 0.303 0.702 102 14% 12%2014 Zammarelli, N Elon 0.363 8.04 20 110 0.397 0.834 139 23% 8%2014 Salter, B Michigan State 0.430 23.63 43 150 0.357 0.989 182 13% 6%2014 Salter, B Michigan State 0.430 23.63 43 150 0.357 0.989 182 13% 6%2014 Jones, P Washington State 0.298 1.76 16 70 0.237 0.525 53 13% 5%2014 Roberts, B Washington State 0.331 6.09 21 90 0.333 0.781 124 37% 16%2014 Vizcaino Jr, J Santa Clara 0.330 3.64 13 90 0.279 0.628 82 15% 3%2014 Donnels, T Loyola Marymount 0.334 7.14 24 92 0.235 0.652 89 19% 14%2014 Tufts, R Virginia Tech 0.276 -0.99 15 57 0.264 0.510 49 25% 10%2014 Tufts, R Virginia Tech 0.276 -0.99 15 57 0.264 0.510 49 25% 10%2014 Edman, T Stanford 0.428 21.42 39 149 0.328 0.882 152 9% 9%2013 Anderson, S Georgetown 0.354 12.99 34 105 0.287 0.793 127 28% 15%2013 Winger, B University of Michigan 0.314 3.45 15 81 0.345 0.645 86 27% 19%2013 Ferreira, E Harvard 0.356 8.89 23 106 0.347 0.769 121 22% 19%2013 Barr, A Stanford 0.310 2.19 11 79 0.244 0.631 83 27% 8%2013 English, A Barry 0.375 13.18 30 117 0.324 0.732 110 8% 17%2013 Graybill, D Arizona State 0.325 3.30 12 87 0.405 0.772 122 37% 15%2013 Robinson, T USC 0.360 10.41 26 108 0.330 0.722 108 14% 9%2013 Jones, C TCU 0.336 11.14 35 94 0.347 0.653 88 24% 17%2013 Jones, C TCU 0.336 11.14 35 94 0.347 0.653 88 24% 17%2013 Moore, T UCLA 0.341 4.38 13 97 0.226 0.541 57 10% 10%2013 Roberts, B Washington State 0.396 23.68 48 129 0.384 0.927 165 24% 16%2013 Tam Sing, T Washington State 0.360 17.06 42 108 0.417 0.789 126 25% 10%2013 Donlin, S Washington State 0.337 7.79 24 95 0.314 0.666 92 12% 13%2013 McKeithan, J Vanderbilt 0.345 7.44 21 99 0.419 0.764 119 24% 12%

Newport Gulls Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Anderson, S Georgetown 0.360 7.75 32 93 0.398 0.852 106 26% 12%2012 Winger, B University of Michigan 0.370 9.90 36 98 0.420 0.881 113 25% 14%2012 Keniry, C Wake Forest 0.381 11.62 38 103 0.391 0.846 106 18% 17%2012 McKeithan, J Vanderbilt 0.366 7.78 30 96 0.355 0.907 117 32% 20%2012 Pare, M Boston College 0.402 7.52 21 113 0.500 1.128 167 38% 14%2012 Melillo, J Rutgers 0.473 20.58 41 147 0.500 1.240 195 24% 28%2012 Slater, A Stanford 0.364 8.09 32 95 0.375 0.807 96 20% 13%2012 White, C Maryland 0.467 13.74 28 144 0.404 1.075 159 14% 30%2012 Ort, R Indiana State 0.350 4.96 24 88 0.344 0.847 102 27% 7%2012 Coffman, K Arizona State 0.375 11.74 41 100 0.417 0.897 116 28% 14%2012 Rosen, Y Washington State 0.428 16.58 39 126 0.400 1.161 173 32% 12%2012 Norwood, J Vanderbilt 0.342 3.25 19 84 0.368 0.799 93 28% 12%2012 Butera, B Boston College 0.328 2.42 22 78 0.362 0.704 75 31% 23%2011 Kiene, T Maryland 0.406 17.38 36 142 0.360 0.956 162 20% 6%2011 Mellilo, J Rutgers 0.343 6.81 22 103 0.345 0.723 100 19% 7%2011 Johnson, E University of Cal Davis 0.311 3.65 21 84 0.231 0.550 55 14% 4%2011 Reinheimer, J East Carolina University 0.334 7.38 26 98 0.292 0.634 77 10% 7%2011 Richards, T Washington State 0.309 2.95 18 82 0.333 0.632 77 19% 5%2011 Reynolds, R Vanderbilt 0.311 1.81 10 84 0.302 0.610 71 16% 8%2011 Keniry, C Wake Forest 0.312 2.48 14 84 0.233 0.591 66 20% 16%2011 Ravnass, R Georgetown 0.410 15.19 31 145 0.400 0.991 171 20% 8%2011 Ort, R Indiana State 0.348 8.15 25 106 0.319 0.720 100 17% 9%2011 Foat, M USC 0.399 19.19 41 138 0.342 0.881 142 14% 10%2011 Johnson, K Washington State 0.355 10.55 30 111 0.404 0.807 123 20% 4%2011 Gregor, C Vanderbilt 0.443 17.62 32 165 0.365 1.081 195 21% 18%2010 Forsten, C College of William & Mary 0.277 -0.36 10 64 0.311 0.579 68 35% 17%2010 Nugent, B Marist College 0.342 8.01 24 105 0.306 0.646 86 10% 7%2010 Blow, M Virginia Tech 0.378 10.85 25 128 0.426 0.921 162 26% 8%2010 Elgie, Z University of Kansas 0.303 2.44 16 81 0.333 0.638 84 24% 1%2010 Legg, D Long Beach State University 0.358 12.84 33 115 0.292 0.693 99 15% 15%2010 Quaranto, K Siena Collge 0.372 13.33 31 124 0.352 0.862 146 26% 16%2010 Diekroeger, K Stanford 0.393 16.48 35 138 0.350 0.800 129 9% 4%2010 Bentrott, D University of Washington 0.330 3.13 11 97 0.233 0.565 64 16% 14%2010 Gamache, D Auburn University 0.387 12.93 28 134 0.303 0.785 125 11% 13%2010 Kelliher, B George Washington University 0.366 13.68 33 121 0.381 0.827 136 22% 14%2010 Johnson, K Washington State 0.369 12.34 30 122 0.346 0.698 101 18% 9%2010 Harrell, C Vanderbilt 0.332 4.92 17 99 0.396 0.789 126 33% 11%

Newport Gulls Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Beauprez, D Miami 27.33 0.243 2.96 82 2.66 74 24% 9%2015 Mertz, M Oklahoma State 43 0.188 2.51 70 1.56 43 31% 7%2015 Schryver, H Villanova 41 0.224 2.85 79 3.14 87 21% 6%2015 DeLeon, T Roger Williams U 16 0.185 2.25 62 3.07 85 24% 15%2015 Wegman, B USC 25.33 0.216 1.42 39 2.28 63 23% 4%2015 Brodey, Q Stanford 31.67 0.204 2.27 63 3.54 98 17% 15%2015 Hock, C Stanford 32.67 0.209 3.86 107 4.14 115 17% 9%2015 Ruppenthal, M Vanderbilt 23 0.301 3.13 87 3.20 89 27% 6%2015 Spagnuolo, B Vanderbilt 27.33 0.165 3.95 109 3.32 92 23% 11%2015 Bono, M Santa Clara University 23.33 0.23 4.63 128 5.72 158 13% 18%2014 Stone, E Boston College 22.33 0.222 4.03 109 3.93 106 18% 16%2014 McCoy, M Wake Forest 32.33 0.246 4.18 113 3.17 86 24% 12%2014 Tripp, J Texas Tech 30 0.300 4.20 113 1.90 51 19% 2%2014 Misiewicz, A Michigan State 27.33 0.283 2.96 80 2.33 63 24% 8%2014 Van Vossen, M Michigan State 31.67 0.273 3.41 92 1.25 34 27% 7%2014 Patterson, J Bryant 43.67 0.278 3.50 95 2.65 72 22% 11%2014 Rugel, A Stonehill College 25 0.260 3.24 88 1.96 53 26% 11%2014 Huberman, M USC 26 0.182 1.73 47 2.88 78 24% 17%2014 Hanewich, B Stanford 32.67 0.254 3.58 97 2.12 57 23% 9%2014 Burner, L Washington State 18 0.222 9.00 243 6.10 165 27% 29%2014 Kilichowski, J Vanderbilt 26.67 0.204 0.67 18 0.78 21 34% 6%2014 Mancuso, M Georgia 28.33 0.269 3.81 103 4.07 110 17% 6%2014 Hawkins, C Arkansas State 20 0.329 4.50 122 2.66 72 20% 11%2013 McCoy, M Wake Forest 33 0.217 2.18 57 3.77 99 22% 13%2013 McGrath, K Louisville 18.67 0.301 1.45 38 2.82 74 23% 6%2013 Van Vossen, M Michigan State 40.33 0.238 2.45 64 2.35 62 22% 6%2013 Hart, K Indiana University 18.33 0.280 4.42 116 2.70 71 21% 11%2013 Mulry, J Northeastern 37.33 0.194 1.93 51 2.69 70 20% 9%2013 Wilcox, K Bryant 18.67 0.212 0.48 13 1.64 43 36% 11%2013 Lilek, B Arizona State 27.33 0.204 1.65 43 2.17 57 24% 6%2013 Hartnett, S Washington State 34.67 0.192 1.82 48 1.87 49 29% 4%2013 Gillies, D Arizona State 37.67 0.248 3.34 88 3.12 82 22% 6%2013 Graves, B University of Missouri 35.67 0.163 1.01 26 2.80 73 22% 11%2013 Ferguson, T Vanderbilt 29.67 0.223 3.03 79 4.61 121 22% 11%2013 Iorio, J Barry 22.67 0.293 1.99 52 2.14 56 28% 6%

Newport Gulls Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Halstead, R Indiana University 16.33 0.262 2.76 48 4.40 77 24% 7%2012 Holbrook, F Wheaton College 21.67 0.295 5.81 102 2.82 49 24% 3%2012 Johnson, M Dartmouth 19 0.267 3.79 66 6.89 121 27% 11%2012 Horacek, M Dartmouth 32.33 0.264 3.90 68 5.12 90 25% 4%2012 Kelich, P Bryant University 41 0.209 2.20 38 3.20 56 30% 7%2012 Scmidt, D Stanford 15.33 0.250 1.17 21 5.22 92 16% 21%2012 Hochstatter, J Stanford 30.33 0.328 3.56 62 4.88 85 17% 10%2012 Chleborad, T Washington State 27.67 0.308 4.55 80 5.78 101 14% 9%2012 Graves, B University of Missouri 26.33 0.21 4.10 72 3.90 68 32% 11%2012 Ravenelle, A Vanderbilt 27.33 0.297 5.93 104 4.96 87 28% 13%2012 Pennell, R Elon 18.67 0.154 2.89 51 3.95 69 35% 19%2012 Kellogg, C Louisiana Lafeyette 13.67 0.095 1.32 23 2.84 50 35% 14%2012 Wright, D Arkansas State 45.67 0.279 3.94 69 4.75 83 22% 6%2011 Campbell, E Virginia Tech 25.33 0.146 1.42 35 4.00 99 20% 10%2011 Poppe, T University of Kansas 39.33 0.255 3.43 85 3.00 74 22% 8%2011 Prosinski, J Seton Hall 33.33 0.231 2.16 53 3.26 81 20% 5%2011 Sinnery, B University of Michigan 45 0.215 1.00 25 2.00 50 20% 3%2011 Strufing, R Long Beach State 20 0.313 5.85 145 4.00 99 18% 13%2011 Hughes, J East Carolina University 24.33 0.25 2.59 64 3.79 94 25% 13%2011 Zlotnick, D Marist 18.33 0.215 3.44 85 4.90 121 16% 21%2011 Wheatley, B USC 36 0.299 2.75 68 4.41 109 13% 5%2011 Dimock, M Wake Forest 19.33 0.233 0.47 12 1.34 33 30% 5%2011 Lee, J Arkansas State 40.67 0.199 0.66 16 1.89 47 24% 6%2011 Wright, D Arkansas State 29.33 0.219 2.15 53 3.73 92 18% 6%2010 Leaver, G* University of Rhode Island 19.33 0.154 2.79 74 3.21 85 28% 20%2010 Bucciferro, T Michigan State University 44.00 0.176 0.82 22 2.03 54 26% 5%2010 Simmons, S* East Carolina University 22.00 0.11 0.82 22 0.64 17 45% 8%2010 Palms, D Princeton 25.00 0.296 4.68 124 4.01 107 12% 8%2010 Light, P Monmouth University 42.00 0.294 2.36 63 3.29 88 21% 8%2010 Nelson, C LeMoyne College 30.33 0.219 3.56 95 3.78 100 16% 12%2010 Appel, M Stanford 43.33 0.213 1.87 50 3.35 89 14% 9%2010 Brown, ,G University of Washington 36.67 0.22 1.96 52 3.22 86 18% 7%2010 Price, D Auburn University 24.00 0.313 4.13 110 3.84 102 11% 9%

North Adams SteepleCats Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Sorrento, V Sacred Heart 0.367 12.99 28 129 0.343 0.797 138 16% 9%2015 Calabrese, R University of Illinois Chicago 0.310 4.68 18 96 0.354 0.679 103 24% 9%2015 Boyher, L Columbia 0.302 4.39 21 91 0.281 0.598 79 21% 12%2015 Burns, J Quinnipiac 0.275 0.42 13 75 0.338 0.587 75 34% 7%2015 DeLuca, J College of St Rose 0.331 5.18 15 108 0.328 0.709 112 23% 9%2015 Perez, P Jacksonville University 0.333 7.85 22 109 0.358 0.702 110 17% 9%2015 Laberton, G Monmouth 0.318 3.51 12 100 0.244 0.547 63 25% 17%2015 Babb, M Jacksonville University 0.294 2.07 12 86 0.200 0.626 87 31% 12%2015 McIntire, G Marist College 0.329 7.55 22 107 0.250 0.611 83 19% 15%2015 Shea, D Monmouth 0.334 4.25 12 109 0.310 0.735 120 39% 29%2015 Lee, H High Point University 0.354 14.74 35 122 0.261 0.664 98 14% 9%2015 Haley, J Penn State 0.317 7.55 27 99 0.302 0.579 73 18% 5%2014 Valdez, R Barry 0.346 9.59 22 119 0.333 0.741 131 32% 38%2014 Siena, V UCONN 0.333 8.00 21 111 0.247 0.569 76 13% 12%2014 Lucas, Z Louisville 0.316 6.56 21 101 0.265 0.617 91 28% 13%2014 Michelangeli, E Miami 0.263 -0.44 9 68 0.220 0.465 43 25% 11%2014 Kinne, J Columbia 0.260 -0.49 6 66 0.214 0.404 23 23% 7%2014 Juliano, T Flagler College 0.303 3.93 15 92 0.247 0.576 78 22% 11%2014 Delph, T Florida State 0.318 7.08 21 102 0.267 0.593 84 23% 19%2014 Papio, A Maryland 0.357 12.06 26 125 0.256 0.727 126 23% 14%2014 Richardson, K Notre Dame 0.376 17.07 33 137 0.277 0.674 109 14% 4%2014 Maglich, L USF 0.322 5.92 17 104 0.258 0.582 80 27% 20%2014 Gomez, V University of Arkansas Pine Bluff 0.299 3.36 14 90 0.358 0.644 100 28% 7%2014 Cardenas, J Barry 0.364 13.89 29 130 0.337 0.841 163 20% 14%2013 Anderson, B Pepperdine 0.304 5.42 19 94 0.230 0.576 78 24% 6%2013 Landi, J University of Rhode Island 0.424 24.99 41 164 0.378 0.829 158 8% 13%2013 Soloman, B Eastern Kentucky University 0.286 2.93 16 84 0.329 0.585 81 28% 6%2013 Martir, K Maryland 0.340 9.98 24 115 0.284 0.642 99 13% 5%2013 Huckabay, J Texas Pan American 0.288 2.62 14 85 0.307 0.576 77 22% 8%2013 Doyle, C Cal State Los Angeles 0.351 11.34 25 122 0.279 0.699 117 18% 14%2013 Bick, D Georgia College & State U 0.301 3.91 15 92 0.324 0.579 78 24% 11%2013 Richardson, K Notre Dame 0.284 2.30 14 82 0.306 0.565 74 36% 11%2013 Zarrillo, V Rutgers 0.326 8.22 22 107 0.344 0.659 104 22% 12%2013 Severino, D Central Connecticut State 0.307 5.11 17 96 0.218 0.562 73 19% 17%2013 Razzino, J Franklin Pierce 0.271 0.44 6 74 0.237 0.459 40 25% 12%2013 Cuas, J Maryland 0.269 0.82 15 73 0.220 0.432 32 23% 9%2013 Tuck, G University of California San Diego 0.315 3.43 10 100 0.320 0.607 87 18% 7%

North Adams SteepleCats Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Planas-Arteaga, S Barry 0.400 14.51 33 133 0.460 0.910 143 28% 42%2012 Soloman, B Eastern Kentucky University 0.267 -2.40 17 70 0.325 0.597 53 31% 6%2012 Oconnol, S University of Rhode Island 0.380 8.43 21 124 0.226 0.688 80 12% 21%2012 Clements, B Nova Southeastern U 0.369 10.20 28 118 0.382 0.866 125 25% 12%2012 Santos, J University of Miami 0.287 0.16 13 79 0.328 0.612 60 27% 14%2012 Tresgallo, E University of Miami 0.266 -2.10 13 69 0.364 0.658 71 38% 6%2012 Klemcke, S Texas Pan American 0.383 13.54 34 125 0.311 0.737 92 13% 11%2012 Palmer, T University of Miami 0.279 -0.70 15 75 0.260 0.547 41 24% 8%2012 Roy, J University of Rhode Island 0.410 21.21 46 138 0.427 0.876 129 21% 15%2012 Biggio, C University of Notre Dame 0.286 0.03 16 79 0.353 0.732 89 41% 12%2012 Klausing, W Texas Pan American 0.312 2.00 13 91 0.296 0.597 55 21% 9%2012 Law, C Rutgers 0.401 18.72 42 134 0.404 1.003 159 26% 13%2012 English, A Barry 0.401 12.99 29 133 0.371 0.833 118 11% 12%2011 Russell, S Central Michigan 0.293 2.06 11 93 0.302 0.596 77 29% 8%2011 Zavala, M Rutgers 0.312 3.43 12 105 0.235 0.591 76 22% 10%2011 Frantini, B 0.231 -3.05 6 55 0.317 0.510 51 44% 11%2011 Blakey, C Georgetown 0.267 -0.06 9 77 0.250 0.496 46 25% 8%2011 Griffin, C Columbus State University 0.265 -0.38 16 76 0.269 0.547 62 35% 10%2011 Mack, C University of Miami 0.324 9.49 28 113 0.309 0.663 98 17% 13%2011 Gadaire, D Davidson College 0.334 9.80 26 118 0.311 0.669 99 22% 5%2011 Leeson, J Georgetown 0.299 3.93 18 97 0.253 0.560 66 21% 9%2011 Zavala, S Rutgers 0.290 2.88 17 92 0.308 0.579 72 28% 13%2011 Daniel, J Eastern Kentucky University 0.321 8.63 27 111 0.364 0.689 105 25% 8%2011 LeBel, M University of Rhode Island 0.410 13.96 25 166 0.369 0.930 179 17% 10%2011 Magliaro, M Rowan University 0.243 -2.83 10 62 0.208 0.436 28 26% 7%2010 Gray, G Wright State 0.328 5.83 16 117 0.306 0.617 90 15% 6%2010 Leon, C Barry 0.296 3.14 14 96 0.236 0.506 55 19% 16%2010 Kneeland, C UMASS Lowell 0.374 12.12 24 146 0.392 0.829 158 21% 10%2010 Castine, J Dayton 0.310 6.26 21 106 0.322 0.661 104 22% 13%2010 Lebel, M University of Rhode Island 0.362 16.85 35 139 0.311 0.745 131 22% 21%2010 Wager, K Villanova 0.368 8.98 18 142 0.317 0.708 119 14% 11%2010 Mena, A Lamar University 0.307 5.19 19 103 0.276 0.624 93 27% 7%2010 Petty, M Barry 0.411 20.77 36 170 0.436 0.952 197 22% 10%2010 Mack, C University of Miami 0.264 -0.10 7 76 0.267 0.471 44 26% 8%2010 Coulombe, T University of Rhode Island 0.308 5.50 19 104 0.286 0.546 67 22% 14%2010 Shines, D Oklahoma State University 0.343 11.81 28 126 0.341 0.716 122 26% 16%2010 Saul, K University of Cal San Diego 0.380 14.49 28 150 0.344 0.792 146 13% 14%

North Adams SteepleCats Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Greenfader, G Georgia Tech 11 0.211 4.91 136 7.07 196 12% 30%2015 Perez, P Jacksonville University 33.67 0.233 2.94 81 2.98 82 14% 8%2015 Bryson, C Villanova 13 0.255 2.77 77 2.99 83 18% 11%2015 Erhardt, J University of Cal San Diego 26.67 0.33 3.37 93 3.67 102 13% 5%2015 Buffis, R Alvernia University 34.67 0.321 5.97 165 4.02 111 8% 9%2015 Edwards, D University of Bridgeport 38.67 0.169 1.16 32 3.27 91 16% 8%2015 Kostalos, M St Thomas Aquinas College 57 0.286 4.89 135 4.38 121 18% 9%2015 Baker, D Ashland University 20.33 0.354 6.64 184 4.64 128 6% 9%2015 Garran, J Pace University 50.33 0.207 2.32 64 3.21 89 20% 12%2015 Bird, T Franklin Pierce 21 0.287 3.86 107 3.59 99 21% 13%2015 Westfall, D University of Tennessee Martin 27 0.194 2.33 65 5.47 152 11% 23%2015 Habershaw, J Eckerd College 26 0.299 5.19 144 4.30 119 22% 20%2014 Philley, J Louisville 16.33 0.208 1.65 52 3.99 125 15% 17%2014 Voyles, J Florida State 29.67 0.229 3.03 95 3.47 109 18% 9%2014 Voyles, E Florida State 38.67 0.243 3.26 102 4.11 129 13% 9%2014 Silva, D Florida State 26.33 0.253 4.10 128 2.69 84 18% 9%2014 Torres, C Notre Dame 19 0.26 4.26 133 4.13 129 25% 16%2014 Prendergast, Z Seton Hall 31.33 0.198 1.72 54 2.96 92 17% 6%2014 Lippert, I Northeastern 13.33 0.227 6.08 190 5.39 169 13% 28%2014 Scott, T University of Cal San Diego 46.67 0.25 2.89 90 3.58 112 16% 3%2014 Foriest, N Middle Tennessee State 17.67 0.238 5.09 159 4.46 140 22% 21%2014 Hunt, TJ Monmouth 44 0.231 2.66 83 2.22 69 14% 4%2014 Mulford, J Adelphi 27.67 0.269 3.25 102 3.74 117 16% 9%2013 Mannunccia, A Hartford 32 0.254 4.22 128 2.70 82 19% 8%2013 Squier, S University of Hawaii 69 0.233 2.74 83 2.21 67 26% 7%2013 Scott, T University of California San Diego 26 0.223 2.08 63 2.27 69 20% 5%2013 Murphy, M Rider 52 0.249 3.46 105 2.41 73 25% 6%2013 Reece, M UNLV 18.33 0.284 5.89 179 4.34 132 16% 9%2013 Frey, S Monmouth 19.67 0.237 1.83 55 2.28 69 21% 6%2013 Brown, C Central Connecticut State 36 0.301 3.75 114 3.61 110 15% 10%2013 Willey, D Franklin Pierce 23.67 0.235 2.66 81 2.69 82 20% 9%2013 Rivera, J Barry 17.67 0.153 1.02 31 1.44 44 31% 3%

North Adams SteepleCats Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Sargent, A University of Miami 26.67 0.175 2.02 41 3.15 64 23% 5%2012 Hunter, B Hartford 30.67 0.163 3.81 77 3.85 78 23% 15%2012 Narodowy, N University of Rhode Island 39.33 0.267 5.26 107 4.50 91 19% 11%2012 Longfield, M Villanova 26.67 0.245 1.69 34 2.93 59 36% 8%2012 Law, C Rutgers 31.67 0.262 4.55 92 3.57 72 23% 6%2012 Gebler, T Rutgers 48.67 0.388 6.47 131 6.71 136 9% 4%2012 MacDonald, C UNC Wilmington 23.67 0.25 5.32 108 4.68 95 17% 8%2012 Kolodin, D University of Cal San Diego 24 0.293 6.38 129 5.25 106 23% 9%2012 Bammann, T Dowling College 24.00 0.138 1.50 30 3.62 73 22% 7%2012 Bielak, C Marist College 28.67 0.278 6.28 127 6.40 130 13% 7%2012 Baroniel, R Nova Southeastern U 19.67 0.348 6.41 130 5.11 104 19% 3%2011 Guilmette, B UMASS Lowell 23 0.239 4.30 123 4.70 135 21% 14%2011 Gilbert, B Seton Hall University 44 0.23 3.27 94 3.46 99 14% 10%2011 Morris, F Seton Hall University 26 0.242 4.50 129 5.28 151 21% 15%2011 Hinkle, M Mount Olive College 20.33 0.313 5.76 165 3.98 114 13% 5%2011 Kopilchack, C Wright State 25.33 0.276 4.62 132 4.35 125 14% 15%2011 Tsoumakas, CJ Rhode Island College 20.33 0.224 3.10 89 4.08 117 21% 12%2011 Thiesing, T Keene State 47.33 0.255 3.99 114 3.85 110 13% 5%2011 Copping, C University of Buffalo 36 0.324 4.25 122 3.05 87 15% 4%2011 Arsi, C Rowan University 17.33 0.31 4.15 119 3.68 105 15% 9%2011 Carden, G Georgia Southwestern University 20.00 0.205 1.35 39 3.25 93 24% 16%2011 Franzago, T Georgia Southwestern University 36.33 0.329 5.95 170 3.90 112 23% 5%2011 Hart, T Georgia College and State U 30 0.314 6.60 189 4.32 124 14% 13%2010 Klein, M Oklahoma State University 26.00 0.298 2.42 75 2.86 88 18% 9%2010 Gebler, T Rutgers 51.00 0.237 2.12 65 2.35 72 23% 4%2010 Rivera, S St. John's University 28.67 0.241 3.14 97 2.81 86 24% 10%2010 Knudson, G* University of Cal San Diego 29.33 0.261 2.15 66 1.31 40 25% 2%2010 Brown, B University of Central Florida 32.33 0.298 4.73 146 3.05 94 20% 10%2010 Slutsky, H* Columbia University 21.67 0.218 3.74 115 2.82 87 20% 10%2010 Vogt, C* Keene State College 19.00 0.109 0.47 15 1.26 39 48% 14%2010 Nixon, R Adelphi University 50.00 0.237 1.80 55 1.91 59 20% 3%2010 Parker, R Louisianna-Lafeyette 35.33 0.194 1.53 47 3.36 104 22% 7%2010 Albury, S* Nova Southeastern University 19.33 0.13 0.00 0 1.14 35 38% 9%

Ocean State Waves Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Corin, M University of Rhode Island 0.267 -0.41 11 69 0.211 0.525 57 31% 9%2015 Lynch, T University of Southern Mississippi 0.409 25.00 46 152 0.293 0.908 171 14% 13%2015 Helms, G Kennesaw State 0.298 2.60 14 87 0.329 0.618 84 18% 2%2015 Robinson, C University of Southern Mississippi 0.386 18.48 37 139 0.278 0.881 163 22% 10%2015 McCarthy, B Bryant 0.290 2.51 18 82 0.225 0.537 60 26% 14%2015 Dawson, N University of Southern Mississippi 0.326 6.21 19 103 0.237 0.580 73 18% 19%2015 Burdeaux, D University of Southern Mississippi 0.353 14.37 34 119 0.345 0.780 133 24% 7%2015 Ramirez, A USC 0.306 4.70 20 92 0.268 0.617 84 28% 11%2015 Blanton, R Georgia State 0.359 13.43 31 123 0.327 0.730 118 14% 10%2015 Palomaki, J Boston College 0.300 4.82 24 88 0.252 0.552 65 19% 17%2015 King, A St. Louis University 0.272 0.07 14 71 0.228 0.456 36 25% 12%2014 Lynch, TJ University of Rhode Island 0.312 3.96 14 95 0.270 0.603 85 19% 15%2014 Rinn, R Bryant 0.353 10.69 24 120 0.413 0.828 155 26% 13%2014 Lynch, T University of Southern Mississippi 0.422 15.01 25 162 0.381 1.022 216 19% 14%2014 Ferreira, E Harvard 0.410 16.79 29 155 0.267 0.931 187 17% 19%2014 McCarthy, B Bryant 0.360 10.96 24 124 0.280 0.754 132 18% 12%2014 Diamond, A Belmont 0.306 4.29 17 91 0.337 0.628 93 24% 7%2014 Wilgus, S Monmouth 0.357 9.05 20 122 0.308 0.678 108 12% 15%2014 Mountford, J Bryant 0.371 13.60 28 131 0.349 0.778 139 23% 11%2014 Ferguson, D Belmont 0.407 21.80 39 153 0.271 0.846 161 17% 21%2014 Ramirez, A USC 0.342 10.26 25 113 0.330 0.744 129 26% 7%2014 Ocello, E Holy Cross College 0.390 11.41 21 143 0.345 0.826 155 20% 19%2014 Blanton, R Georgia State 0.326 8.42 24 104 0.354 0.670 106 24% 15%2014 Caputo, T University of Rhode Island 0.307 5.50 21 92 0.283 0.589 81 15% 8%2013 Burgess,M Crowder College 0.262 -0.28 8 66 0.245 0.484 47 27% 7%2013 DiNatale, D Arizona State 0.237 -2.51 7 51 0.263 0.447 36 31% 2%2013 Quinn, P University of Rhode Island 0.325 7.59 21 103 0.265 0.675 107 23% 7%2013 Sebastian, N NYIT 0.323 5.70 16 102 0.279 0.739 127 40% 23%2013 King, C 0.344 6.76 16 115 0.370 0.768 136 25% 12%2013 Moses, W Northwestern 0.254 -0.91 7 62 0.292 0.505 54 29% 7%2013 Gerber, M Creighton 0.396 20.91 38 145 0.410 0.956 195 23% 7%2013 Gamache, R Binghamton 0.335 9.61 24 110 0.385 0.717 120 23% 12%2013 Bailey, C Georgia State 0.375 20.76 41 133 0.338 0.761 134 14% 14%2013 Muscarello, C Trinity University 0.366 17.91 37 127 0.370 0.753 131 13% 8%2013 McGraw, S Binghamton 0.339 10.89 27 112 0.356 0.737 126 26% 12%2013 Ocello, E Holy Cross College 0.411 21.19 37 154 0.374 0.887 173 17% 5%2013 Sherburne, M Rhode Island CC 0.247 -1.37 6 57 0.310 0.483 47 39% 4%

Ocean State Waves Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Murphy, G Boston College 32.67 0.252 2.75 76 3.74 104 19% 8%2015 Applin, B University of Rhode Island 24.33 0.163 1.85 51 3.31 92 25% 10%2015 Whitman, B University of Rhode Island 35.33 0.234 3.06 85 4.14 115 17% 11%2015 Lovelady, R Kennesaw State 28.33 0.179 1.91 53 3.10 86 26% 9%2015 Dibrell, T Kennesaw State 39.67 0.269 4.76 132 2.49 69 21% 9%2015 Amendola, J Northeastern University 40.33 0.229 3.12 86 2.40 66 19% 4%2015 Dennis, R Monmouth College 12.33 0.346 7.30 202 4.77 132 8% 8%2015 Murphy, M Assumption College 25.33 0.276 3.91 108 2.71 75 22% 6%2015 Wright, A USC 15.33 0.193 1.76 49 2.68 74 25% 12%2015 Perryman, M USC 19.33 0.270 3.72 103 4.05 112 18% 8%2015 Capen, G Holy Cross College 21.33 0.192 2.53 70 2.36 65 19% 6%2015 Gray, R Trinity University 38.67 0.182 1.86 52 3.69 102 11% 7%2014 Adams, J Boston College 23.33 0.185 2.70 83 2.85 87 23% 6%2014 Fernandes, L Boston College 17.33 0.300 5.19 159 2.48 76 13% 7%2014 Applin, B University of Rhode Island 35.67 0.239 1.51 46 3.33 102 20% 5%2014 Plohr, R St Louis University 29.33 0.217 3.07 94 3.72 114 12% 11%2014 LeBlanc, C UMASS Amherst 21.67 0.341 4.15 127 3.36 103 12% 12%2014 Moyers, S University of Rhode Island 16.33 0.242 4.96 152 2.34 72 22% 3%2014 Jordan, M Stetston 32.67 0.246 2.20 68 2.64 81 21% 2%2014 Lukowski, M Creighton 25.67 0.299 2.45 75 2.30 70 16% 2%2014 Schryver, H Villanova 25.33 0.242 3.20 98 2.45 75 20% 11%2014 Gerber, D Creighton 30 0.216 3.60 110 2.00 61 30% 10%2014 Powers, O Radford 23.67 0.293 4.18 128 3.69 113 15% 8%2014 Paglione, J Monmouth 28.67 0.235 3.14 96 3.71 114 13% 15%2014 Bates, N Georgia State 34.33 0.263 3.41 104 2.85 87 22% 6%2013 Kelly, C Chandler Gilbert CC 24.67 0.253 4.38 130 3.28 97 19% 7%2013 Bowditch, T University of Rhode Island 40 0.242 2.25 67 2.90 86 16% 7%2013 Osullivan, L University of Rhode Island 23 0.319 3.91 116 3.67 109 10% 5%2013 Powers, O Radford 24.33 0.233 1.11 33 2.54 75 27% 8%2013 Cook, M Northeastern 22.67 0.217 6.75 201 4.25 126 19% 14%2013 Bessell, J Dowling College 41.33 0.192 2.40 71 3.22 96 18% 9%2013 Bammann, T Dowling College 22.33 0.262 2.42 72 1.54 46 25% 2%2013 French, A Brown 12.00 0.182 0.75 22 2.36 70 31% 13%2013 Allen, B Jefferson College 39.67 0.299 5.90 175 4.86 144 14% 8%2013 Cooney, N Wesleyan U 16 0.161 2.81 84 2.88 86 27% 15%2013 Duff, J Stonehill College 31.33 0.285 4.60 137 4.98 148 18% 9%2013 Ludwig, D Belmont 22 0.244 1.23 36 3.47 103 19% 5%2013 Hill, A University of South Carolina 18 0.278 4.00 119 4.31 128 13% 5%2013 Murray, J Rollins College 22.67 0.258 2.38 71 3.46 103 24% 12%2013 Habershaw, J Eckerd College 11 0.244 8.18 243 5.20 154 26% 22%

Plymouth Pilgrims Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Obrien, M Oklahoma State 0.292 2.38 16 87 0.198 0.531 58 21% 7%2015 Tufts, R Virginia Tech 0.307 3.05 13 96 0.245 0.566 69 23% 16%2015 Freiday, J Virginia Tech 0.338 7.32 20 115 0.293 0.776 132 33% 14%2015 Venuto, J Elon 0.336 7.70 21 114 0.269 0.703 110 27% 19%2015 Koch, L University of South Carolina 0.359 9.25 21 127 0.253 0.671 100 11% 18%2015 Rodriguez, I University of Cincinnati 0.293 1.91 12 88 0.322 0.577 72 28% 6%2015 Schritenthal, Z Memphis 0.279 0.56 9 80 0.193 0.411 23 9% 9%2015 Alvarez, M Eastern Kentucky 0.420 21.89 39 163 0.345 0.959 186 13% 7%2015 Giesel, T Georgia College & State 0.321 7.49 25 105 0.333 0.672 101 23% 11%2015 Chester, C Miami 0.331 6.33 19 111 0.253 0.633 89 20% 8%2015 Smith, J Miami 0.319 3.54 12 104 0.273 0.633 89 17% 4%2015 Zarozny, A Bryant 0.248 -1.57 6 62 0.179 0.458 37 30% 13%2015 Rooker, B Mississippi State 0.421 27.53 49 163 0.415 1.017 204 20% 9%2015 Larsen, J University of Cal San Diego 0.280 0.59 9 80 0.297 0.529 58 33% 19%2014 Guglietti, V Quinnipiac 0.374 21.70 41 142 0.343 0.848 173 19% 9%2014 Rooker, B Mississippi State 0.330 9.93 24 115 0.363 0.781 150 33% 8%2014 Koch, L University of South Carolina 0.341 9.22 21 122 0.304 0.655 108 22% 30%2014 Walsh, M Franklin Pierce 0.319 7.32 20 109 0.326 0.685 118 25% 8%2014 Adams, J Boston College 0.303 6.35 21 99 0.269 0.540 70 21% 13%2014 Roulis, T Dartmouth 0.335 11.82 28 118 0.365 0.675 115 15% 5%2014 Bunn, J Virginia Commonwealth 0.382 16.08 29 147 0.407 0.789 153 21% 12%2014 Martin, M Harvard 0.385 21.24 38 149 0.407 0.825 165 23% 12%2014 Swain, D Siena College 0.314 5.53 16 105 0.302 0.630 100 25% 18%2014 Xepoleas, R George Washington 0.327 7.81 20 113 0.274 0.638 103 16% 14%2014 Parisi, M Dartmouth 0.299 5.45 20 96 0.238 0.563 77 20% 9%2013 Guglietti, V Quinnipiac 0.344 14.98 32 123 0.328 0.691 120 19% 6%2013 Stubbs, G USC 0.362 12.68 25 134 0.298 0.664 111 10% 11%2013 Santomauro, A Lafayette College 0.372 21.13 40 140 0.376 0.750 139 17% 8%2013 Richardson, R Michigan State 0.316 6.68 18 107 0.338 0.617 95 22% 7%2013 Patterson, S University of Cal Davis 0.343 11.86 26 123 0.361 0.768 145 30% 26%2013 Young, A University of Cal Davis 0.278 2.36 14 85 0.263 0.500 56 27% 13%2013 Fratus, D Stonehill College 0.248 -0.67 6 67 0.243 0.514 61 38% 5%2013 Stephens, R Middle Tennessee State 0.298 6.81 24 96 0.271 0.591 86 23% 7%2013 Robson, J Mississippi State 0.353 10.12 21 129 0.426 0.784 151 23% 19%2013 Lacey, B USC 0.304 6.80 22 100 0.312 0.614 94 22% 6%

Plymouth Pilgrims Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Pimentel, K Miami 41.67 0.255 2.59 72 2.63 73 24% 5%2015 Naughton, PVirginia Tech 46.33 0.240 3.69 102 3.11 86 21% 8%2015 Honiotes, A Miami 15.67 0.344 6.32 175 3.39 94 23% 11%2015 Olson, LGeorge Washington 19.00 0.194 0.47 13 1.28 35 25% 0%2015 Schank, J Butler 42.67 0.219 2.53 70 2.04 56 25% 8%2015 Pomeroy, C Georgetown 12.67 0.292 7.81 216 3.86 107 25% 20%2015 Fitzgerald, MNortheastern 14.33 0.293 5.65 156 2.93 81 30% 12%2015 Christian, BNortheastern 22.67 0.280 7.54 209 4.08 113 24% 10%2015 Johnson, R Bryant 12.67 0.304 2.13 59 3.54 98 17% 12%2015 Lundin, M Franklin Pierce 16 0.351 10.69 296 6.69 185 13% 16%2015 White, BHoly Cross College35.33 0.277 4.84 134 3.46 96 19% 10%2015 Johnson, TUniversity of South Carolina49.33 0.285 3.28 91 3.59 99 15% 6%2015 Plant, K Eckerd College 26.67 0.200 1.35 37 4.68 130 8% 14%2014 Garcia, DUniversity of Miami43.33 0.206 1.45 49 3.20 104 21% 9%2014 Fossas, A Wake Forest 40 0.229 2.70 91 3.51 114 14% 7%2014 Grant, AUMASS Amherst 48 0.205 2.81 95 3.18 103 20% 9%2014 Schavone, NUNC Asheville 23 0.207 3.13 105 2.72 88 25% 12%2014 Berger, N Northeastern 48 0.215 0.75 25 2.29 74 25% 12%2014 Crispi, T Columbia 22.33 0.162 3.63 122 2.50 81 32% 7%2014 Jenkins, T Quinnipiac 44.33 0.156 0.41 14 1.46 47 28% 5%2014 Aiello, V Rider 19.67 0.212 0.92 31 1.75 57 30% 11%2014 Sowa, K Rider 21.67 0.247 5.40 182 6.27 204 12% 23%2014 Houston, ZMississippi State 21 0.167 1.29 43 3.15 102 31% 18%2014 Lee, C Arkansas State 32.33 0.231 3.90 131 3.94 128 15% 16%2013 Honahan, TSUNY Stony Brook42.33 0.293 6.38 201 4.64 146 9% 12%2013 Meurer, M Villanova 29 0.274 3.41 108 2.82 89 15% 3%2013 Robinson, SUNC Asheville 15 0.163 2.40 76 3.00 94 24% 14%2013 Stanwyck, HUniversity of Cal Davis34.33 0.226 2.88 91 4.48 141 13% 7%2013 Fabrizio, N Quinnipiac 32 0.315 5.34 168 4.07 128 15% 10%2013 Nimke, WWestern Michigan31.67 0.250 3.41 108 3.99 126 17% 8%2013 Prihar, SUniversity of Nevada Reno22.00 0.244 1.23 39 2.79 88 14% 6%2013 Hayward, V Bryant 27 0.200 2.67 84 4.05 128 19% 15%2013 Adams, M Wagner 21 0.225 6.00 189 5.24 165 19% 24%2013 Stout, TJacksonville State15.67 0.226 2.87 91 2.43 77 32% 14%2013 Farina, ALafeyette College26.33 0.240 2.73 86 3.04 96 23% 9%2013 Springs, JAppalachian State 32 0.261 2.53 80 3.38 107 26% 15%2013 Meszoros, MKeystone College 15 0.322 6.60 208 4.66 147 18% 15%

Sanford Mainers Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Gazzola, A Stony Brook University 0.347 6.50 16 122 0.267 0.652 95 15% 19%2015 Knightes, R St Johns 0.308 3.54 15 100 0.273 0.548 64 14% 2%2015 Hughes, S Monmouth 0.377 16.17 34 141 0.346 0.836 150 16% 15%2015 Wenson, H Michigan 0.347 7.95 20 123 0.290 0.716 114 22% 17%2015 Wood, H Western Kentucky 0.284 0.85 8 86 0.243 0.548 64 31% 20%2015 Thomas, D Arkansas Little Rock 0.384 17.87 36 145 0.491 0.945 182 24% 3%2015 Schanz, D Binghamton 0.346 5.41 14 122 0.290 0.636 90 6% 6%2015 Rogers, N Vanderbilt 0.304 2.02 9 98 0.366 0.657 96 24% 11%2015 Slater, J Michigan 0.315 5.58 20 104 0.284 0.600 79 26% 11%2015 Gaetano, C Monmouth 0.355 6.71 16 127 0.320 0.739 121 25% 16%2015 Hetzel, D Cochise College 0.294 3.26 19 92 0.360 0.644 92 28% 8%2015 Stepna, N Cochise College 0.333 7.84 22 115 0.319 0.671 100 21% 6%2015 Skidmore, B Binghamton 0.313 5.26 20 103 0.338 0.628 88 22% 8%2015 Dexter, S University of Southern Maine 0.370 11.60 25 136 0.351 0.774 131 9% 7%2014 Harris, M St. John's 0.323 6.10 15 117 0.267 0.594 91 22% 10%2014 Rescigno, M Maryland 0.274 1.21 8 87 0.241 0.592 91 46% 21%2014 Patrick, K University of Michigan 0.351 11.56 23 133 0.306 0.744 144 21% 16%2014 Berman, S Santa Clara 0.326 7.96 18 119 0.307 0.710 132 24% 11%2014 Stypulkowski, K Miami Dade College 0.296 2.22 7 100 0.200 0.466 47 12% 10%2014 Lovullo, N Holy Cross College 0.336 10.71 23 125 0.238 0.601 94 6% 23%2014 Bailey, C Georgia State 0.360 15.21 29 139 0.292 0.697 128 13% 13%2014 Dexter, S University of Southern Maine 0.328 9.00 21 120 0.293 0.615 99 13% 6%2014 Balzano, S University of Maine 0.272 1.56 11 86 0.171 0.378 16 16% 10%2014 Hetzel, D University of Rhode Island 0.262 0.58 11 80 0.275 0.503 60 31% 5%2014 Pagano, M Marist 0.325 7.82 18 118 0.313 0.619 100 19% 14%2014 Parker, D Vanderbilt 0.330 8.01 18 121 0.403 0.738 142 28% 15%2014 Raley, C Temple 0.316 8.25 21 112 0.267 0.606 96 26% 14%2013 Wilson, N Georgia State 0.350 18.00 35 133 0.286 0.765 151 28% 17%2013 Nevares, D Binghamton 0.364 7.83 14 141 0.315 0.749 145 14% 9%2013 Black, T University of Maine 0.329 12.87 29 120 0.367 0.680 121 19% 9%2013 Mosey, P 0.297 2.96 9 101 0.263 0.599 93 32% 13%2013 LaPointe, N Boston College 0.280 3.66 16 92 0.337 0.598 92 29% 4%2013 Martin, C University of Michigan 0.316 7.30 18 113 0.333 0.629 103 23% 12%2013 Papio, A Maryland 0.314 10.70 27 111 0.385 0.709 131 33% 17%2013 Moore, K Maryland 0.234 -1.06 4 64 0.242 0.414 28 37% 8%2013 Thomas, J 0.380 11.50 20 150 0.339 0.804 165 21% 14%2013 Castellano, C TCU 0.288 1.97 7 96 0.412 0.598 92 35% 0%2013 Balzano, S University of Maine 0.359 15.19 29 138 0.379 0.756 147 18% 22%2013 Cooper, W Vanderbilt 0.348 6.58 13 131 0.261 0.641 107 19% 10%2013 Heath, S University of Maine 0.238 -0.79 4 67 0.324 0.501 59 36% 4%2013 Wayman, R St John's 0.281 2.61 11 92 0.344 0.559 79 28% 6%

Sanford Mainers Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Hajjar, A Fairfield University 0.393 18.27 38 143 0.394 0.863 137 15% 11%2012 LaPointe, N Boston College 0.354 6.96 18 124 0.327 0.821 121 24% 7%2012 Armour, B Wake Forest 0.248 -1.72 8 73 0.138 0.356 -12 17% 3%2012 Betts, J Duke 0.377 18.00 40 135 0.327 0.925 151 25% 11%2012 Black, T Maine Orono 0.294 1.31 9 95 0.178 0.473 23 13% 8%2012 Torralba, J Canisius College 0.346 11.89 32 121 0.333 0.653 78 17% 12%2012 Stark, G Missouri 0.286 1.57 15 92 0.315 0.632 72 33% 21%2012 Young, C Whitman College 0.289 1.60 13 93 0.382 0.624 69 28% 11%2012 Kronenfeld, P Georgia Tech 0.307 4.62 21 102 0.397 0.742 102 40% 18%2012 Hagel, J Maryland 0.408 16.58 32 150 0.458 0.989 171 24% 12%2012 Patron, I Long Beach State 0.430 19.11 35 160 0.351 0.859 135 6% 7%2012 Cooper, W Vanderbilt 0.329 6.14 20 112 0.321 0.644 75 15% 9%2011 Sulzicki, J UCONN 0.231 -1.87 6 68 0.258 0.518 58 49% 14%2011 Verrier, M University of Maine 0.315 8.00 22 120 0.230 0.591 82 21% 17%2011 Panetta, T Cortland State 0.255 -0.08 8 83 0.300 0.548 68 39% 14%2011 Devlin, P UMASS Lowell 0.333 8.45 19 131 0.325 0.661 106 15% 8%2011 Leisenheimer, J University of Maine 0.366 7.39 14 152 0.467 0.872 176 24% 2%2011 Sanborn, L St. John's 0.225 -1.92 4 64 0.241 0.428 29 43% 16%2011 Calbi, M Villanova 0.363 17.29 33 149 0.274 0.670 110 17% 16%2011 Mollenhauer, B Radford 0.382 21.41 38 161 0.323 0.751 136 11% 14%2011 Kronenfeld, P Georgia Tech 0.311 9.32 26 118 0.329 0.664 108 33% 28%2011 Montville, M Maryland 0.383 14.11 25 162 0.346 0.957 204 34% 15%2011 Coppinger, R Canisius College 0.296 4.25 15 108 0.281 0.650 102 36% 10%2011 Lupo, J Vanderbilt 0.323 7.33 18 125 0.363 0.661 106 21% 5%2011 LaCroix, N Franklin Pierce 0.304 6.35 20 113 0.271 0.555 70 20% 7%2010 Cantwell, P Stony Brook University 0.340 9.00 19 138 0.256 0.611 97 12% 5%2010 Elliot, D UCONN 0.334 10.40 23 134 0.305 0.671 118 17% 12%2010 Calbi, M Villanova 0.266 1.02 10 90 0.138 0.368 12 16% 10%2010 Mollenhauer, B Radford University 0.328 10.38 24 130 0.303 0.617 99 14% 10%2010 Roth, M University of South Carolina 0.405 10.80 18 178 0.410 0.968 221 26% 16%2010 Gomez, A Vanderbilt 0.352 9.67 19 145 0.282 0.664 115 8% 9%2010 Flaherty, R Vanderbilt 0.239 -1.39 7 73 0.204 0.418 29 31% 12%2010 Marra, M LeMoyne College 0.292 5.38 19 107 0.307 0.606 95 23% 8%2010 Wendle, J West Chester University 0.387 23.82 41 167 0.343 0.763 150 11% 5%2010 McCann, M Manhattan College 0.350 14.32 29 144 0.337 0.744 143 20% 11%2010 Doyon, B Keene State University 0.318 7.88 20 123 0.304 0.680 121 30% 10%2010 Schult, J Eastern Connecticut State 0.382 14.81 26 164 0.402 0.855 182 19% 9%

Sanford Mainers Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Rosenberg, D Virginia 16.33 0.281 4.96 137 3.07 85 11% 7%2015 Shea, B UMASS Lowell 22 0.261 4.50 125 4.57 126 16% 12%2015 Wessel, B University of Rhode Island 41.33 0.234 1.74 48 2.51 69 20% 6%2015 Greenberg, B Fordham 41.67 0.28 4.97 138 3.64 101 13% 8%2015 Whitenight, V St Edwards University 16.33 0.233 6.06 168 3.86 107 24% 15%2015 Dube, C Keene State College 30 0.218 1.80 50 0.80 22 37% 5%2015 Casper, A Canisius College 24.67 0.239 1.46 40 1.12 31 36% 2%2015 Remillard, I Canisius College 18 0.257 2.00 55 2.96 82 29% 7%2015 Morgan, B North Carolina Central 41 0.201 1.98 55 3.60 100 19% 9%2015 Searles, I Southern New Hampsire 21.67 0.238 3.74 103 4.36 121 17% 6%2015 Abraham, J Vanderbilt 40 0.176 2.25 62 2.74 76 25% 14%2015 Heflin, H University of South Carolina 11.67 0.286 13.11 363 7.09 196 14% 17%2014 Poore, N Boston College 25 0.167 1.80 61 1.60 54 28% 8%2014 Ruse, R Maryland 25.67 0.217 2.10 71 1.52 51 26% 6%2014 Nicklas, J Boston College 14.67 0.2 3.68 124 1.61 54 29% 10%2014 Lavoie, C UMASS Lowell 45 0.22 1.20 40 2.05 69 11% 1%2014 Marks, J University of Maine 15.33 0.173 2.94 99 4.20 141 19% 17%2014 Barss, T University of Rhode Island 15 0.22 1.80 61 1.36 46 27% 6%2014 Wessel, B University of Rhode Island 36 0.268 3.50 118 2.18 73 11% 2%2014 Adcock, B University of Michigan 25.67 0.193 2.45 83 1.28 43 33% 3%2014 Hatch, C St Edwards 13.33 0.174 1.35 45 2.39 80 27% 15%2014 Dube, C Keene State College 13.33 0.255 3.38 114 2.31 78 24% 4%2014 Ciavarella, A Monmouth 16.67 0.153 1.08 36 2.16 73 17% 5%2014 Vrana, R Marist 31.33 0.272 1.72 58 1.46 49 24% 4%2014 Singer, J Monmouth 40.33 0.296 4.02 135 2.96 100 17% 7%2014 Chudy, J Pace 17.67 0.215 2.04 69 1.29 43 31% 8%2014 Johnson, R Vanderbilt 21.33 0.218 3.38 114 3.00 101 24% 7%2013 Poore, N Boston College 27.67 0.283 3.25 106 2.94 96 18% 9%2013 Heath, S University of Maine 23.33 0.327 3.86 126 4.22 138 11% 9%2013 Butler, C University of Maine 23.33 0.320 4.63 151 2.38 78 15% 3%2013 Krauss, C Seton Hall 35.33 0.237 2.55 83 3.14 102 25% 10%2013 Hill, E University of Michigan 34.33 0.262 2.88 94 3.92 128 13% 13%2013 Derrico, D Hofstra 22.33 0.340 4.03 131 3.06 100 19% 8%2013 Remillard, I Canisius College 13.67 0.240 2.63 86 3.85 126 30% 9%2013 Bourque, J Fairfield 40 0.265 2.93 95 2.40 78 25% 10%2013 Casper, A Canisius College 18 0.221 3.50 114 1.03 34 40% 9%2013 Gallagher, A Fairfield 21.67 0.311 4.15 135 1.81 59 25% 6%2013 Ashworth, E Fairfield 47 0.273 5.17 169 2.71 88 17% 5%2013 Landry, T Franklin Pierce 17.33 0.293 3.64 119 2.73 89 15% 6%2013 Fortuna, S Southern New Hampshire 12 0.300 6.00 196 1.53 50 28% 6%2013 Rice, S Vanderbilt 28.67 0.165 0.94 31 0.65 21 43% 8%

Sanford Mainers Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Gorman, J Boston College 25.67 0.295 4.56 99 4.41 96 21% 11%2012 Jones, N Wake Forest 25.33 0.368 9.24 201 5.41 118 11% 10%2012 Davis, T NJIT 44.67 0.274 4.63 101 4.37 95 21% 7%2012 Chamberlain, E Eastern Connecticut State 21.67 0.341 3.32 72 2.96 64 21% 2%2012 Pierce, R Canisius College 42.67 0.252 2.74 60 4.09 89 16% 8%2012 Ashworth, E Fairfield University 30.67 0.289 2.93 64 5.55 121 11% 4%2012 Ferris, J Spring Arbor U 20.00 0.224 2.70 59 4.04 88 19% 4%2012 Horan, M Frankiln Pierce 17.67 0.296 6.62 144 5.37 117 21% 15%2012 Rice, S Vanderbilt 30 0.237 4.50 98 4.92 107 29% 6%2011 Stevens, E Boston College 37.67 0.269 4.06 134 3.58 110 15% 7%2011 Bazdanes, AJ University of Maine 36.67 0.189 2.45 81 3.54 109 12% 12%2011 Balentina, J University of Maine 31.67 0.274 4.55 151 3.37 104 22% 10%2011 Nagorski, C Binghamton University 12 0.352 5.25 174 3.97 122 9% 3%2011 DePierro, V UMASS Lowell 21.33 0.321 6.33 210 2.39 74 25% 11%2011 Reich, J Fordham University 19 0.312 6.63 220 4.52 139 11% 3%2011 Cross, C UCONN 25 0.211 3.60 119 2.89 89 24% 5%2011 Mizenko, T Winthrop 14.33 0.241 1.26 42 -0.02 -1 38% 0%2011 Lawrence, T Winthrop 42.33 0.163 1.49 49 2.46 76 17% 6%2011 Patten, J Radford 23.33 0.247 2.31 77 1.81 56 27% 8%2011 Davis, T NJIT 38 0.303 4.26 141 3.42 105 23% 10%2011 Leach, R Franklin Pierce 16.67 0.29 6.48 215 4.43 136 21% 11%2010 Augliera, M Binghamton University 41.00 0.193 2.85 94 3.10 103 18% 9%2010 Ramey, D University of MASS Lowell 34.67 0.185 1.82 60 3.80 126 13% 11%2010 Helisek, K Villanova 41.67 0.253 3.02 100 2.67 88 17% 5%2010 Caravella, A* University of Pittsburgh 18.33 0.159 0.49 16 1.47 49 28% 3%2010 Ruth, E* Winthrop University 21.67 0.2 1.66 55 0.42 14 41% 5%2010 Davis, K Keene State University 21.00 0.299 6.43 213 3.86 128 18% 8%2010 Schult, J Eastern Connecticut State 30.33 0.248 4.15 138 4.47 148 14% 16%2010 Davis, S Canisius 40.67 0.225 2.66 88 2.09 69 20% 2%2010 Ahern, D* Babson College 21.00 0.238 1.71 57 2.77 92 12% 6%2010 McDermott, T* LeMoyne College 19.00 0.264 2.84 94 4.47 148 15% 10%2010 Snow, C Georgia Southern University 33.00 0.21 2.45 81 1.78 59 27% 6%2010 Burmeister, B* University of San Diego 26.33 0.263 3.76 124 2.94 97 14% 8%

Valley Blue Sox Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Edridge, C Oklahoma State 0.204 -4.95 4 30 0.391 0.524 56 60% 14%2015 Starcun, C American International College 0.332 5.75 17 105 0.353 0.773 131 31% 14%2015 Lumley, J Canisius College 0.376 16.21 34 131 0.296 0.767 129 13% 10%2015 Petrino, D Oklahoma State 0.326 4.22 13 101 0.286 0.593 77 11% 3%2015 Pazos, M Pittsburgh 0.297 2.13 12 84 0.302 0.592 77 16% 11%2015 Payne, J Jackson State CC 0.246 -1.95 7 55 0.302 0.496 48 36% 13%2015 Delso, D Oklahoma City CC 0.322 3.89 13 99 0.315 0.660 97 20% 7%2015 Nixon, C Kennessaw State 0.326 4.21 13 101 0.349 0.701 110 28% 25%2015 Ducoff, J Baylor 0.297 1.65 9 84 0.289 0.593 77 25% 2%2015 Adryan, J Ohio University 0.277 0.57 13 72 0.240 0.468 39 22% 5%2015 Sheppard, D Baylor 0.293 1.79 11 82 0.246 0.492 47 24% 11%2015 McCain, G Oklahoma State 0.348 12.44 31 114 0.354 0.739 121 22% 12%2015 Pescitelli, R Quinnipiac University 0.333 6.19 18 106 0.421 0.797 138 33% 8%2015 Dejesus, M Ohio University 0.362 14.81 34 123 0.284 0.646 93 8% 12%2015 Gonzalez, C Delaware State 0.333 7.52 22 105 0.274 0.681 103 20% 8%2014 Sikes, C Savannah State 0.332 7.31 21 103 0.308 0.730 121 27% 10%2014 Crinella, F Merrimack College 0.342 11.37 29 109 0.339 0.693 110 17% 9%2014 Delso, D TCU 0.349 5.60 14 114 0.293 0.684 107 9% 4%2014 Hazard, J UCLA 0.298 2.04 11 83 0.258 0.519 57 14% 5%2014 Graham, J 0.315 3.08 11 93 0.340 0.642 94 21% 3%2014 Stahel, B USC 0.365 12.44 27 124 0.315 0.738 123 19% 7%2014 Lynch, N University of Cal Davis 0.357 7.03 16 119 0.350 0.744 125 20% 5%2014 Zarubin, B Stanford 0.229 -2.80 4 41 0.233 0.440 33 42% 17%2014 Carcone, J College of St Rose 0.350 4.51 11 114 0.318 0.664 101 15% 13%2014 Barker, K University of Cal Davis 0.242 -2.31 6 49 0.393 0.546 65 55% 15%2014 Wilson, S University of Kentucky 0.319 5.97 20 95 0.326 0.622 88 21% 6%2014 Black, G Ohio University 0.299 3.23 17 83 0.287 0.563 70 14% 9%2014 La Bruna, A USC 0.359 10.02 23 120 0.353 0.783 137 17% 13%2013 Annunziata, S Seton Hall 0.300 3.57 17 85 0.361 0.615 86 28% 6%2013 Carcone, J College of St. Rose 0.340 5.64 15 108 0.377 0.710 114 19% 5%2013 Hendriks, B University of San Francisco 0.389 21.40 41 137 0.411 0.860 160 15% 12%2013 Morhardt, J Liberty University 0.271 0.23 16 68 0.321 0.545 64 31% 5%2013 Fisher, J 0.283 1.82 17 75 0.293 0.528 59 23% 5%2013 Lombardozzi, J University of Florida 0.325 8.01 24 100 0.307 0.617 86 18% 14%2013 Heyman, G University of Miami 0.191 -7.00 3 20 0.216 0.361 8 38% 5%2013 Bruce, J Kennesaw State 0.375 18.37 38 129 0.398 0.820 148 17% 13%2013 Bozoian, V USC 0.315 7.16 25 94 0.259 0.600 81 17% 8%2013 Burke, M University of Buffalo 0.293 1.59 9 81 0.286 0.553 67 18% 8%2013 Reida, M University of Kentucky 0.320 5.71 18 96 0.397 0.668 102 29% 11%

Valley Blue Sox Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Spencer, C University of Cal Irvine 0.373 9.93 29 113 0.307 0.793 101 16% 9%2012 McConkey, P University of Kentucky 0.398 13.65 34 125 0.453 0.971 144 24% 7%2012 Pentecost, M Kennesaw State 0.346 7.82 31 100 0.398 0.800 103 27% 11%2012 Fischer, M Columbia 0.288 -0.38 10 72 0.243 0.570 48 31% 22%2012 Gondek, R Sacred Heart 0.293 -0.07 11 74 0.425 0.734 84 33% 5%2012 Mosey, P Notre Dame 0.331 5.90 30 92 0.339 0.765 92 23% 3%2012 Potter, E San Diego State 0.255 -4.05 12 57 0.218 0.398 1 21% 3%2012 Diekroeger, D Stanford 0.410 13.71 32 130 0.348 0.838 112 10% 10%2012 Woolley, C Western Nevada CC 0.284 -1.07 15 70 0.254 0.576 45 25% 6%2012 McKay, C University of Kansas 0.323 4.30 27 89 0.467 0.850 114 32% 7%2012 Keur, J Michigan State 0.388 14.86 39 120 0.342 0.788 99 13% 8%2012 Klock, J Niagara University 0.267 -1.60 8 62 0.281 0.635 60 38% 15%2012 Norton, A Notre Dame 0.394 6.70 17 123 0.400 0.894 126 16% 11%2011 Mancini, T Notre Dame 0.366 5.30 36 93 0.380 0.894 159 30% 12%2011 Eberle, S Jacksonville St 0.402 8.37 34 112 0.319 0.893 159 17% 11%2011 Freeman, R Kennesaw St 0.411 11.90 44 116 0.451 0.998 190 20% 11%2011 Murphy, T Buffalo 0.397 8.63 36 109 0.326 0.939 171 24% 10%2011 Glenn, A USC 0.396 4.36 19 109 0.500 0.973 182 0.349 22%2011 DeSico, F Notre Dame 0.361 4.08 31 91 0.353 0.732 113 18% 16%2011 Smith, E Stanford 0.384 6.31 31 102 0.326 0.857 149 13% 19%2011 McConkey, P Kentucky 0.352 1.97 20 86 0.419 0.765 123 0.176 10%2011 Richards, K UNC Greensboro 0.319 -0.92 19 69 0.259 0.634 84 20% 14%2011 Tenaglia, M James Madison 0.308 -1.81 16 64 0.314 0.668 94 0.258 7%2011 Ringo, J Stanford 0.362 3.03 23 91 0.305 0.681 98 0.106 11%2011 Sherrod, A USC 0.379 3.51 18 100 0.406 0.833 142 0.145 8%2010 Ammirati, N Seton Hall University 0.282 -3.14 11 50 0.296 0.506 52 24% 8%2010 Koczirka, D Villanova 0.288 -2.33 9 53 0.246 0.493 48 17% 4%2010 Hager, F Cornell U 0.322 -0.42 24 72 0.363 0.736 122 30% 9%2010 Migani, C Quinnipiac 0.335 0.80 18 78 0.333 0.691 108 22% 12%2010 Mosher, M UCLA 0.321 -0.47 20 71 0.377 0.739 123 32% 16%2010 Saunders, T Marietta College 0.295 -2.95 16 57 0.313 0.612 84 34% 11%2010 Foltz, A James Madison 0.394 4.99 21 110 0.340 0.848 156 25% 18%2010 Bean, S Dartmouth College 0.362 2.21 15 93 0.327 0.698 110 16% 19%2010 Law, A BYU 0.390 5.41 23 108 0.405 0.880 165 16% 10%2010 Sonnenfeld, J Wesleyan U 0.341 1.35 19 82 0.367 0.761 129 29% 24%2010 Miller, B Northwest Florida State cc 0.326 0.07 24 74 0.384 0.822 148 36% 16%

Valley Blue Sox Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Worswick, W La Salle 26.33 0.241 4.44 123 3.37 93 23% 6%2015 Barss, T University of Rhode Island 14.00 0.311 5.14 142 1.85 51 26% 9%2015 Moyers, S University of Rhode Island 18.33 0.266 6.38 177 2.14 59 25% 10%2015 Ward, M Kennessaw State 19.67 0.291 3.20 89 2.15 60 21% 6%2015 Goosens, B Siena 48.67 0.278 2.40 67 2.66 74 17% 5%2015 Achter, R Toledo 18.33 0.347 2.95 82 3.39 94 19% 15%2015 Colombo, C Bates 30.00 0.339 3.90 108 2.80 78 12% 6%2015 Kulaga, P Merrimack 53.00 0.238 2.38 66 3.82 106 13% 6%2015 Burke, S UCLA 33.00 0.304 7.09 196 3.28 91 15% 5%2015 Nolan, B Mercyhurst 18.00 0.143 1.50 42 3.34 93 18% 13%2015 Freeman, E Tennessee 38.67 0.280 2.79 77 3.64 101 12% 9%2015 Donko, S Iowa Western CC 15.67 0.250 2.87 79 2.30 64 19% 6%2014 Pryor, J Lipscomb University 36.33 0.241 2.97 89 2.63 78 16% 9%2014 Lewis, N Baylor 42 0.234 3.00 89 2.12 63 22% 6%2014 DiBenedetto, J Seton Hall 32.33 0.323 3.62 108 2.46 73 16% 8%2014 Elia, A Seton Hall 33.67 0.258 4.01 120 2.88 86 19% 7%2014 Van Zant, H Bowdoin College 28.33 0.319 4.45 133 2.02 60 22% 9%2014 Starwalt, D Stanford 24.33 0.202 2.59 77 2.03 60 25% 11%2014 Schmidt, D Stanford 17.33 0.25 4.15 124 5.25 156 15% 26%2014 Strecker, Z University of Kentucky 50.67 0.262 3.20 95 2.57 77 14% 4%2014 Rasmussen, K West Hills College 32.00 0.240 2.53 75 1.98 59 18% 4%2013 Hillyer, J Kennesaw State 62.33 0.231 2.45 71 2.83 82 24% 10%2013 Joiner, C Southwestern Oklahoma State 16.67 0.254 1.62 47 4.22 122 10% 9%2013 Goossens, B Siena College 21 0.317 4.29 124 2.58 74 16% 4%2013 Burke, M University of Buffalo 65.00 0.236 0.55 16 1.92 55 22% 4%2013 VanZant, H Bowdoin College 50 0.218 2.52 73 2.56 74 19% 7%2013 Kutzer, J Stanford 41.67 0.208 1.73 50 3.22 93 12% 7%

Valley Blue Sox Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Weisberg, A George Washington 28.67 0.311 6.28 121 4.38 85 25% 10%2012 Duncan, D Kennesaw State 30.33 0.222 2.37 46 3.39 66 18% 7%2012 Norton, A Notre Dame 31.67 0.244 4.83 93 5.43 105 17% 4%2012 Squier, S Hawaii 21.33 0.256 5.49 106 4.26 82 26% 10%2012 Mendez, J Suffolk U 19 0.256 5.68 110 5.16 100 18% 16%2012 Speer, D Columbia 47.67 0.27 3.21 62 4.23 82 17% 4%2012 Ohare, C Yale 20.33 0.318 6.20 120 2.26 44 28% 7%2012 Kerski, K Sacred Heart 22.67 0.354 3.57 69 3.74 72 17% 7%2012 Thome, A University of North Dakota 34.67 0.333 6.23 120 3.96 77 13% 7%2012 Shannon, J University of San Diego 24 0.269 4.50 87 3.54 68 22% 9%2011 Harvey, R Seton Hall 19.33 0.173 2.79 76 1.81 49 33% 13%2011 Hooper, K University of Cal Irvine 32.67 0.295 4.41 120 2.53 69 22% 7%2011 Scott, E James Madison 20 0.224 5.85 160 5.10 139 12% 21%2011 O'Hare, C Yale 31.67 0.273 4.83 132 3.62 99 24% 13%2011 Crumb, K Buffalo 24.67 0.232 2.19 60 3.21 88 12% 9%2011 Yarusi, B Wesleyan 27.67 0.165 1.30 36 2.00 55 27% 8%2011 Watts, D Jacksonville St 28.67 0.316 5.02 137 1.93 53 19% 0%2011 Mount, B USC 46.33 0.210 1.36 37 2.29 63 25% 7%2011 Byers, Elliot Stanford 16.33 0.219 4.41 120 3.05 83 26% 17%2011 Capper, C BYU 32 0.214 2.25 61 2.64 72 23% 9%2011 Paulson, D BYU 38.67 0.266 4.19 114 1.96 54 25% 8%2010 Clemens, D* Boston College 20 0.300 6.30 185 3.35 98 20% 10%2010 Bodjiak, B* University of Rhode Island 22.33 0.303 3.22 95 3.54 104 21% 12%2010 Lobban, B St. John's 31.33 0.214 2.30 67 2.89 85 23% 13%2010 Wood, T Cornell U 48 0.258 2.06 61 2.03 60 22% 6%2010 Hart, B Yale 42.67 0.296 2.74 81 3.43 101 14% 8%2010 Catapano, M Bellevue University 54.67 0.260 2.80 82 2.94 86 18% 9%2010 Deeter, R* UCLA 23.33 0.226 1.93 57 3.31 97 18% 8%2010 Yarusi, B 28 0.200 2.57 75 3.05 90 15% 5%2010 Morris, F 18.67 0.271 6.27 184 5.68 167 22% 12%

Vermont Mountaineers Hitters, 2013-2015

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2015 Dudek, J Kentucky 0.342 6.93 18 111 0.350 0.760 127 24% 13%2015 Copeland, G Austin Peay State 0.352 12.51 30 117 0.419 0.753 125 32% 19%2015 Clemons, A Louisville 0.247 -2.03 8 55 0.250 0.436 30 40% 22%2015 Stypulkowski, K University of Maine 0.350 7.81 19 116 0.282 0.698 108 19% 8%2015 Smith, R Austin Peay State 0.361 13.50 31 122 0.330 0.761 127 16% 8%2015 Bermudez, D Western Carolina University 0.376 7.52 16 131 0.292 0.785 135 14% 15%2015 Pasteaur, I Indiana 0.371 7.32 16 128 0.469 0.780 133 23% 9%2015 Roulis, T Dartmouth 0.461 15.18 24 181 0.500 1.113 233 8% 5%2015 Jackson, R Louisville 0.251 -1.46 7 57 0.268 0.477 43 31% 15%2015 Parenty, J Stony Brook 0.370 11.82 26 127 0.333 0.742 122 8% 9%2015 Eustace, L Indiana 0.380 10.61 22 133 0.342 0.822 146 10% 10%2015 Ruppert, N Dartmouth 0.340 6.30 17 109 0.389 0.754 125 24% 19%2015 Hairston, D Louisville 0.311 3.27 13 92 0.344 0.655 95 21% 1%2014 Vigliarolo, M St Louis University 0.372 10.76 23 128 0.390 0.831 151 14% 8%2014 Solak, N Louisville 0.327 4.66 14 100 0.324 0.659 99 14% 6%2014 Rodrique, C Indiana 0.311 2.98 12 90 0.232 0.539 63 13% 16%2014 Tiberi, B Louisville 0.417 19.11 34 155 0.412 0.956 189 11% 14%2014 Knightes, R St. John's 0.283 0.75 10 73 0.281 0.503 52 18% 3%2014 Treff, J Northeastern 0.240 -1.80 4 47 0.278 0.456 38 29% 4%2014 Hall, B University of Alabama Huntsville 0.295 1.78 11 81 0.214 0.524 58 22% 12%2014 Sagdal, I Washington State 0.358 8.65 20 119 0.291 0.685 107 13% 12%2014 Charbonneau, B LeMoyne College 0.294 1.43 9 80 0.213 0.468 41 19% 8%2014 Lyman, C Louisville 0.389 7.28 14 138 0.538 0.930 182 29% 5%2014 Parenty, J Stony Brook University 0.315 4.39 16 93 0.368 0.634 92 22% 6%2014 Picard, A UMASS Amherst 0.221 -2.90 3 36 0.237 0.426 29 28% 4%2014 Caruso, A St. John's 0.339 4.35 12 108 0.295 0.691 109 20% 16%2014 Krische, M Canisius College 0.344 5.41 14 111 0.406 0.831 152 41% 22%2014 Brock, C University of Alabama Huntsville 0.350 10.00 24 114 0.314 0.666 101 17% 17%2014 Amburgey, T St. Petersburg College 0.355 9.42 22 117 0.425 0.740 124 21% 4%2013 Vigliarolo, M St Louis University 0.313 5.45 19 92 0.283 0.572 73 17% 3%2013 Towns, K University of Virginia 0.329 4.27 12 102 0.333 0.699 111 28% 9%2013 MacDowell, M Dartmouth 0.307 2.85 11 89 0.224 0.497 50 3% 4%2013 Ryan, A University of Dayton 0.296 2.67 14 83 0.206 0.494 49 18% 7%2013 Dennis, B St. John's 0.319 6.19 20 96 0.365 0.655 98 30% 13%2013 Donley, S Indiana 0.378 7.72 16 131 0.357 0.823 149 11% 10%2013 Roulis, T Dartmouth 0.329 8.85 25 102 0.300 0.614 85 16% 7%2013 Kaczka, B Monroe CC 0.282 1.77 17 74 0.407 0.621 87 34% 5%2013 Triller, M Clemson 0.297 2.88 15 83 0.279 0.557 68 24% 14%2013 Podlas, M University of Dayton 0.364 10.01 22 122 0.321 0.762 130 18% 4%2013 Smith, K Vanderbilt 0.256 -1.06 8 59 0.282 0.558 68 44% 10%2013 Brock, C University of Alabama Huntsville 0.380 15.80 32 132 0.424 0.809 144 18% 13%2013 Wiese, P LeMoyne College 0.378 7.59 15 130 0.316 0.789 138 6% 11%

Vermont Mountaineers Hitters, 2010-2012

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Year Name School wOBA pf_wRAA wRC wRC+ BABIP OPS OPS+ K% BB%2012 Partyka, G Bradley U 0.386 9.45 25 119 0.367 0.888 124 24% 11%2012 Johnson, B TCU 0.338 5.00 22 96 0.283 0.601 52 14% 4%2012 Jones, P Washington State 0.313 1.62 14 84 0.217 0.561 42 18% 8%2012 Green, A University of San Diego 0.455 14.99 29 152 0.481 1.203 200 27% 10%2012 Cook, C George Mason University 0.381 9.21 25 117 0.291 0.686 75 11% 8%2012 Karl, R Louisville 0.348 4.52 17 101 0.333 0.800 100 23% 4%2012 Pierce, L Troy 0.440 18.46 38 145 0.367 0.980 147 13% 10%2012 Kelly, R St. Anslem College 0.459 27.69 53 154 0.364 1.042 161 10% 5%2012 White, M Louisville 0.355 5.90 21 104 0.279 0.837 113 33% 18%2012 Ogrady, B Rutgers 0.376 10.99 32 114 0.282 0.829 108 19% 14%2012 Barbosa, A Northeastern 0.380 9.68 27 116 0.309 0.607 55 10% 5%2012 Mishu, J Princeton 0.394 10.97 28 123 0.397 0.884 123 22% 12%2012 Peragine, C SUNY Stony Brook 0.430 10.65 23 140 0.397 0.892 128 11% 18%2011 Hopkins, R Rutgers 0.243 -2.21 6 55 0.250 0.418 21 33% 8%2011 Griffith, R Sacred Heart University 0.318 4.53 17 101 0.353 0.656 91 27% 11%2011 Johnson, B TCU 0.379 12.23 26 139 0.276 0.801 132 19% 15%2011 Cammans, J University of Rhode Island 0.355 9.80 24 124 0.349 0.736 114 19% 7%2011 Wallenzin, M Austin Peay 0.234 -2.99 6 49 0.143 0.388 13 31% 20%2011 Freeman, D King College 0.231 -2.80 5 47 0.186 0.386 12 26% 9%2011 Young, T University of Louisville 0.310 3.71 16 96 0.322 0.656 91 26% 15%2011 Bachman, G Austin Peay 0.341 8.56 24 115 0.311 0.730 111 23% 6%2011 Mishu, J Princeton 0.376 12.81 28 137 0.307 0.729 112 23% 23%2011 Ogrady, B Princeton 0.424 16.95 30 167 0.296 0.789 130 12% 33%2011 Gautier, R Austin Peay 0.295 1.75 11 87 0.452 0.665 93 38% 11%2011 Jones, D Washington State 0.301 2.73 15 91 0.321 0.682 98 32% 15%2011 Hotta, J University of San Diego 0.289 1.19 11 83 0.222 0.523 53 26% 26%2011 Kelly, R St. Anselm College 0.409 12.58 23 158 0.292 0.849 146 11% 9%2011 Kemp, D Franklin Pierce 0.286 1.01 11 82 0.283 0.560 63 26% 8%2010 Perrott, G Rice 0.241 -2.81 8 54 0.156 0.351 5 23% 6%2010 Carmona, W Stony Brook University 0.378 15.84 33 141 0.341 0.870 163 27% 12%2010 Martinez, N Fordham University 0.310 5.64 22 98 0.370 0.683 106 24% 9%2010 Johnson, M Indiana University 0.364 14.72 33 132 0.336 0.720 117 14% 9%2010 Witte, J TCU 0.329 5.07 15 110 0.318 0.652 96 19% 6%2010 Frias, R Odessa College 0.366 8.32 18 134 0.348 0.747 125 15% 9%2010 Babbitt, Z Sierra College 0.388 17.89 35 148 0.343 0.775 134 13% 26%2010 Thomas, TJ Hofstra University 0.273 0.18 11 75 0.250 0.558 68 32% 8%2010 Pope, T UNC Wilmington 0.307 5.41 23 96 0.272 0.567 71 18% 8%2010 Rivera, B TCU 0.291 1.34 9 86 0.224 0.478 44 20% 7%2010 Fiebrich, T Sam Houston State 0.248 -2.31 9 59 0.320 0.517 56 39% 13%2010 Doane, K East Tennessee State 0.310 3.16 12 98 0.295 0.575 73 16% 5%

Vermont Mountaineers Pitchers, 2013-2015

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2015 Leland, S Louisville 37.33 0.238 4.10 113 2.26 63 26% 5%2015 Rodliff, T Stony Brook 27.67 0.133 1.63 45 2.74 76 25% 9%2015 Whaley, B Norwich University 28.67 0.25 3.45 96 4.50 124 14% 10%2015 Cosgrove, T Manhattan College 32 0.274 3.09 86 2.79 77 20% 4%2015 Delaplane, S Eastern Michigan 27.33 0.17 3.29 91 0.87 24 38% 6%2015 Brown, C Central Connecticut State 43.33 0.218 1.25 34 3.11 86 14% 6%2015 Banas, G Bryant 19.33 0.219 5.12 142 4.05 112 21% 18%2015 Powers, D LeMoyne College 36 0.258 4.25 118 4.46 123 13% 8%2015 Lunde, D Washington State 23 0.224 4.30 119 4.07 113 11% 12%2014 Gesell, J Wilmington University 21.67 0.173 2.49 74 1.89 56 31% 12%2014 Koger, D University of Alabama Huntsville 42.67 0.272 2.32 69 3.02 90 11% 7%2014 Goss, D University of Alabama Huntsville 21.67 0.200 2.49 74 4.52 135 10% 14%2014 Wiest, T Columbia University 31.00 0.146 1.74 52 3.60 107 19% 12%2014 Ashbeck, E Bradley 45 0.244 2.20 66 2.74 82 14% 3%2014 Spencer, S Castleton State College 29 0.239 3.10 93 3.11 93 17% 10%2014 Davis, R LeMoyne College 40.33 0.270 2.68 80 2.34 70 18% 6%2014 McDade, J Millersville University 47.67 0.237 2.83 84 2.68 80 13% 3%2013 Rosenberger, D University of Virginia 34 0.209 2.65 77 3.84 111 15% 6%2013 Oest, T University of Virginia 35.67 0.231 3.28 95 3.28 95 18% 3%2013 Sorgie, C University of Albany 40 0.222 3.15 91 2.47 71 25% 8%2013 Naradowy, N University of Rhode Island 19.67 0.314 5.49 159 6.09 176 14% 20%2013 Graziano, J St. John's 20 0.293 5.85 169 2.10 61 31% 11%2013 Strader, R Louisville 25.00 0.213 0.72 21 2.56 74 23% 9%2013 Alphin, B Louisville 16 0.183 3.38 98 2.26 65 24% 7%2013 Hickey, D Yale 30.33 0.183 1.78 51 1.81 52 30% 3%2013 Nasshan, J Bradley 36.33 0.252 3.72 107 3.50 101 13% 5%2013 Brown, C Central Connecticut State 39.33 0.238 3.20 93 3.09 89 21% 7%2013 Miles, J University of Missouri 37.67 0.135 1.19 35 2.37 69 22% 8%2013 Delano, P Vanderbilt 18.33 0.21 3.44 99 3.36 97 23% 16%

Vermont Mountaineers Pitchers, 2010-2012

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Year Name School IP BAA ERA ERA- FIP FIP- K% BB%2012 Ostapeck, S Villanova 23.67 0.36 7.98 154 6.11 118 13% 9%2012 Dearden, M Indiana Universty 16.67 0.32 10.26 198 5.47 106 21% 10%2012 Stadler, W Indiana Universty 16 0.468 16.31 315 9.48 183 8% 19%2012 MacDonald, C Hawaii 19.67 0.299 3.20 62 5.26 102 15% 11%2012 Grana, K Bellarmine 20.67 0.195 4.79 93 4.32 84 29% 13%2012 Delgado, C Austin Peay 36.33 0.264 3.22 62 3.13 60 24% 8%2012 Rogers, T Austin Peay 21.67 0.238 7.06 137 4.85 94 20% 18%2012 Ochoa, R Washington State 23 0.376 11.35 219 6.27 121 16% 15%2012 McAllister, M West Chester U 24 0.297 4.13 80 3.95 76 19% 9%2012 Haines, A Seton Hill University 40.00 0.169 0.90 17 2.54 49 36% 4%2012 Schnelle, B Seton Hill University 44.33 0.316 4.67 90 5.07 98 10% 9%2011 Lutton, G SUNY at Albany NY 16.33 0.343 4.41 120 5.01 137 9% 8%2011 Fasano, R Rutgers 40 0.279 2.93 80 2.92 80 19% 6%2011 Ege, C University of Louisville 46.67 0.293 3.09 84 4.55 124 12% 10%2011 Marzi, A UCONN 26.67 0.255 4.39 120 3.09 84 19% 4%2011 Whitehouse, M University of Cal Irvine 28 0.243 3.86 105 2.37 65 28% 9%2011 Grana, K Bellarmine University 21.33 0.129 1.27 35 1.60 44 38% 5%2011 Booden, J Bradley University 22.67 0.141 1.59 43 3.05 83 29% 14%2011 Shepard, F Amherst College 38 0.191 1.42 39 3.05 83 20% 10%2011 Scribner, T Sacred Heart 45 0.231 3.00 82 2.78 76 20% 5%2011 Rafferty, L Sacred Heart 18.67 0.194 3.37 92 3.91 107 33% 10%2011 Werniuk, J LeMoyne College 12 0.217 3.75 102 2.22 60 28% 11%2011 Jackson, S Washington State 16.33 0.237 3.31 90 4.15 113 25% 5%2011 Leckenby, JD Washington State 28.33 0.300 3.49 95 4.57 125 10% 10%2010 Guilietti, J Binghamton University 38.00 0.284 5.21 153 4.00 117 18% 11%2010 Burton, B East Tennessee State Univeristy 38.67 0.264 2.79 82 4.06 119 11% 7%2010 Roe, N* Rutgers 29.67 0.202 2.73 80 2.18 64 26% 6%2010 Johnson, C Notre Dame 37.33 0.262 2.65 78 2.19 64 20% 6%2010 Davis, S* UNC Wilmington 30.67 0.252 3.52 103 4.13 121 21% 15%2010 Kumbatovic, R Hofstra University 20.67 0.179 0.87 26 3.44 101 12% 10%2010 Duran, G* Dowling College 21.33 0.282 5.91 173 2.91 85 17% 9%2010 Wasmund, P New York Tech 38.67 0.307 3.49 102 3.93 115 5% 7%2010 Johnson, A Bradley University 26.33 0.339 7.86 231 4.53 133 14% 12%2010 Hawes, C* Georgia Southwestern State 26.67 0.287 4.39 129 3.13 92 18% 4%

References

Weinberg, Neil. "Stat of the Week: Weighted Runs Created Plus (wRC )."New English D. 4 Apr. 2013. Web. 20 Aug. 2015. <http://newenglishd.com/2013/04/04/stat-of-the-week-weighted-runs-created-plus-wrc/>.

"Park Factors." Buckeyes and Park Factors. Web. 20 Aug. 2015. <http://gosu02.tripod.com/id103.html>.

"WRAA For Position Player WAR Explained | Baseball-Reference.com." Baseball-Reference.com. Web. 20 Aug. 2015. <http://www.baseball-reference.com/about/war_explained_wraa.shtml>.

Tango, Tom. "Run Expectancy, Run Frequency, Runs Created, Linear Weights Generator." Tango Tiger. Web. 20 Aug. 2015. <http://www.tangotiger.net/markov.html>.

Grosnick, Bryan. "ERA+ Vs. ERA-." Beyond the Box Score. SB Nation, 14 Sept. 2012. Web. 20 Aug. 2015. <http://www.beyondtheboxscore.com/2012/9/14/3332194/era-plus-vs-era-minus>.

"The Baseball Cube - Historical Statistics MLB, Minors and College." The Baseball Cube - Historical Statistics MLB, Minors and College. Web. 21 Aug. 2015. <http://thebaseballcube.com/>.

"Home Page." New England Collegiate Baseball League. Web. 21 Aug. 2015. <http://www.necbl.com>.

Panas, Lee. Beyond Batting Average: Baseball Statistics for the 21st Century. Lulu.com, 2010. Print.

Weinberg, Neil. "How to Evaluate a Pitcher, Sabermetrically." Beyond the Box Score. SB Nation, 2 June 2014. Web. 21 Aug. 2015. <http://www.beyondtheboxscore.com/2014/6/2/5758898/sabermetrics-stats-pitching-stats-learn-sabermetrics>.

Haggstrom, Olle. "Markov Theory and Algorithmic Applications." Markov Theory and Algorithmic Applications. Web. 24 Aug. 2015. <http://www.math.chalmers.se/Stat/Research/markov.html>.

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http://www.math.chalmers.se/Stat/Research/markov.html

http://www.beyondtheboxscore.com/2014/6/2/5758898/sabermetrics-stats-pitching-stats-learn-sabermetrics

http://www.necbl.com/

http://thebaseballcube.com/

http://www.beyondtheboxscore.com/2012/9/14/3332194/era-plus-vs-era-minus

http://www.tangotiger.net/markov.html

http://www.tangotiger.net/markov.html

http://www.baseball-reference.com/about/war_explained_wraa.shtml

http://gosu02.tripod.com/id103.html

http://newenglishd.com/2013/04/04/stat-of-the-week-weighted-runs-created-plus-wrc

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