Biographical

Portrait of Hainley Statia

Hainley Statia SS

Player Cards | Team Audit | Depth Chart

Career Summary
Years PA AVG OBP SLG DRC+ WARP
10 .000 .000 .000 0 0.0
Birth Date1-19-1986
Height5' 10"
Weight178 lbs
Age38 years, 3 months, 5 days
BatsB
ThrowsR
WARP Summary

MLB Statistics

YEAR TEAM AGE G PA H 2B 3B HR BB SO HBP SB CS AVG OBP SLG DRC+ DRAA BRR FRAA BWARP

Statistics for All Levels

'opp' stats - Quality of opponents faced - have been moved and are available only as OPP_QUAL in the Statistics reports now.
Minor league stats are currently shown —Click to hide.
YEAR Team Lg LG G PA oppAVG oppOBP oppSLG BABIP BPF BRAA repLVL POS_ADJ DRC+ DRC+ SD FRAA BRR DRAA BWARP
2005 RCU A+ CLF 23 112 .000 .000 .000 .272 0.0 0 0 0.0 0.0 0.0 0.0
2005 ORM Rk PIO 68 308 .281 .352 .425 .338 104 2 3.9 1.8 106 0 11.9 0.4 3.2 2.0
2006 CDR A MDW 111 480 .000 .000 .000 .332 0.0 0 0 0.0 0.0 0.0 0.0
2006 RCU A+ CLF 18 70 .000 .000 .000 .340 0.0 0 0 0.0 0.0 0.0 0.0
2007 RCU A+ CLF 135 609 .274 .349 .431 .328 101 2 18.9 8.5 94 0 19.4 2.2 -3.7 4.4
2008 ARK AA TXS 59 252 .273 .341 .421 .244 83 -3.8 7.5 3.4 56 0 5.3 -1.0 -16.7 -0.2
2009 ARK AA TXS 111 426 .264 .343 .391 .255 106 -14.8 12.0 5.5 74 0 17.0 0.3 -17.9 1.8
2009 SLC AAA PCL 4 8 .230 .273 .371 .000 108 -1 0.2 0 76 0 -0.2 0.0 -0.2 0.0
2010 ARK AA TXS 4 15 .259 .323 .384 .455 89 1.9 0.4 0 187 0 0.3 0.2 1.3 0.2
2010 SLC AAA PCL 30 110 .264 .336 .403 .301 99 -1 3.4 0.2 93 0 1.0 -0.4 -0.6 0.3
2011 HUN AA SOU 95 344 .258 .331 .390 .310 111 0.2 10.1 3.6 105 0 2.1 2.6 3.3 2.2
2012 HUN AA SOU 59 237 .247 .330 .373 .283 104 -7.2 6.5 1.5 83 0 0.8 2.0 -2.9 0.8
2012 NAS AAA PCL 49 143 .274 .336 .420 .343 101 -3.5 4.3 0.9 77 0 -0.4 1.3 -3.4 0.3
2013 NAS AAA PCL 113 343 .261 .330 .396 .271 92 0.4 9.9 -1.3 96 0 0.9 -0.7 -4.7 0.4
2013 NED int WBC 4 11 .000 .000 .000 .286 0.0 0 0 0.0 0.0 0.0 0.0
2014 HUN AA SOU 60 224 .245 .325 .372 .290 99 10.5 6.2 0.4 134 0 0.0 2.3 4.8 1.5
2014 NAS AAA PCL 23 45 .272 .332 .411 .344 83 0 1.3 0 77 0 -0.4 -0.1 -1.5 -0.1

Statistics For All Levels

Minor league stats are currently shown —Click to hide.
Year Team lvl LG PA AB R H 2B 3B HR TB RBI BB SO SB CS AVG OBP SLG ISO SF SH
2005 ORM Rk PIO 308 277 44 83 17 6 2 118 41 23 40 12 10 .300 .354 .426 .126 5 5
2005 RCU A+ CLF 112 106 12 26 2 0 1 31 8 5 13 6 3 .245 .286 .292 .047 0 0
2006 RCU A+ CLF 70 60 8 18 2 1 0 22 8 8 7 1 1 .300 .391 .367 .067 0 0
2006 CDR A MDW 480 417 68 124 31 1 1 160 38 52 54 23 15 .297 .373 .384 .086 8 8
2007 RCU A+ CLF 609 549 86 158 27 7 3 208 74 48 79 29 8 .288 .344 .379 .091 5 5
2008 ARK AA TXS 252 223 26 54 12 3 1 75 20 14 17 8 4 .242 .276 .336 .094 12 12
2009 ARK AA TXS 426 375 46 91 21 2 1 119 43 34 34 13 3 .243 .300 .317 .075 13 13
2009 SLC AAA PCL 8 6 2 0 0 0 0 0 0 2 2 0 0 .000 .250 .000 .000 0 0
2010 SLC AAA PCL 110 96 10 25 4 1 0 31 14 13 14 1 1 .260 .345 .323 .063 1 1
2010 ARK AA TXS 15 12 2 5 1 0 0 6 2 3 1 1 2 .417 .533 .500 .083 0 0
2011 HUN AA SOU 344 297 42 83 16 4 2 113 40 36 38 3 1 .279 .355 .380 .101 4 6
2012 NAS AAA PCL 143 129 10 36 5 0 0 41 16 12 26 1 0 .279 .336 .318 .039 2 0
2012 HUN AA SOU 237 213 23 52 10 0 0 62 12 22 29 6 2 .244 .321 .291 .047 0 0
2013 NAS AAA PCL 343 291 40 70 10 0 5 95 23 50 46 6 5 .241 .352 .326 .086 0 2
2013 NED int WBC 11 9 1 2 0 0 0 2 0 1 2 0 0 .222 .364 .222 .000 0 0
2014 NAS AAA PCL 45 42 3 11 3 0 0 14 3 3 10 1 0 .262 .311 .333 .071 0
2014 HUN AA SOU 224 180 29 50 8 1 5 75 26 39 21 5 5 .278 .410 .417 .139 1

Plate Discipline

YEAR Pits Zone% Swing% Contact% Z-Swing% O-Swing% Z-Contact% O-Contact% SwStr% CSAA

Injury History  —  No longer being updated

Last Update: 12/31/2014 23:59 ET

Date On Date Off Transaction Days Games Side Body Part Injury Severity Surgery Date Reaggravation
2010-05-30 2010-09-07 Minors 100 0 Right Elbow Surgery Tommy John Surgery -
2009-04-27 2009-05-04 Minors 7 0 General Medical Surgery Tonsillitis 2009-04-27
2008-07-03 2008-09-16 Minors 75 0 Right Thigh Strain Hamstring -
2008-06-07 2008-06-30 Minors 23 0 Right Thigh Strain Hamstring -

Compensation

Year Team Salary

 

Service TimeAgentContract Status

Details

2019 Preseason Forecast

Last Update: 1/27/2017 12:35 ET

PCT PA R H 2B 3B HR RBI BB SO SB CS AVG OBP SLG DRC+ VORP FRAA WARP
Weighted Mean???????00??.000.000.00000.0?0.0

BP Annual Player Comments

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BP Articles

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BP Chats

DateQuestionAnswer
2008-01-25 13:30:00 (link to chat)I saw Hainley Statia in 50 or so games last season and I'm happy you've confirmed my suspicion that he was about the best fielding shortstop in the minors. Do you have any plans to update these minor league fielding numbers from time to time during the season or is this strictly a post-season report? Great work.
(Brian from Ontario CA)		Glad I could oblige you. Right now I don't have any firm plans on when or how the numbers will be used or distributed in the future. If it's interesting to people (and from the volume of email it certainly appears it is) I'd like to make them more widely available but again, that hasn't been discussed internally. (Dan Fox)
2008-01-25 13:30:00 (link to chat)Great job on Simple Fielding Runs 1.0. Do you plan on releasing a spreadsheet of your minor league fielding ratings as well? (You somewhat lost me on how the system was used for minor leaguers.) Glad to see Hainley Statia came out well after being named the most outstanding defensive player at the World Cup in November.
(Adam from Everett, MA)		I'm getting barraged in email and here on the chat with this question and so it appears the people have spoken. I will prep a spreadsheet for the minor leaguers and make it available within the next week. If I don't, you can all email again and harangue me.

As far as losing you on how the system was applied to minor leaguers, the same code was executed for the minor leaguers as for the major leaguers. That is, the methodology as described in the previous columns and in last week's column applies directly.

When I create the baseline I do so for the league in question and so it is important to note two things. First, for short season leagues that means the sample sizes are smaller and so can be more greatly skewed by single player performances. And of course, given that the system is based on probabilities, smaller samples means a greater likelihood of SFR values with larger magnitudes that may not be as reflective as the underlying skill of the player. This will be offset to some degree when comparing with other leagues because fewer games will generally result in a smaller range of values.

Second, since the baseline is created for each league, players are always compared against their peers in that league. So when I show Statia as +21 in the California League, that's relative to how other shortstops (including himself) performed in that league. (Dan Fox)


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