Jack Winkler2B Sugar Land Space Cowboys
Age 27 R/R 6'1" / 185 lbs AAA H +4%HR -3% Svc 1.000 · Ctrl thru 2030
wRC+†40
AVG/OBP/SLG.197 / .261 / .298
PA250
HR4
SB8
K%30
BB%6
MLB%10%
BAT: -16.8 runs (wOBA-derived runs vs avg)-17BATRUN: +1.1 runs (SB/CS + UBR baserunning)+1RUNFLD: -0.5 runs (Defensive runs vs avg)-0FLDPOS: +0.9 runs (Positional adjustment)+1POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.90-0.9WAR
Scouting · nowfuture
HIT
4040
PWR
4040
SPD
6060
EYE
4245
trajectory · 10 yrs
-0.1peak
2028

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   Pre-Arb
MLB Debut   2025
Service   1.000 yrs.days
Team Control Through   2030
First FA Year   2031
YearStatusSalary Proj WAR Value Surplus
2026Pre-Arb$0.8M
2027Pre-Arb$0.8M
2028Arb-1$0.2M
2029Arb-2$0.4M
2030Arb-3$0.6M
Totals $-11M $-11M +$0.0M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202122 A2 teams 9992 14410 4272 42 .152.204.217.421 .065.212 274 .184 -1 -11 +0 +0 +0 +3 -0.8
202223 A+Lansing Lugnuts 234213 50813 15476 42 .235.303.324.627 .089.288 206 .277 70 -8 +0 +0 +1 +7 -0.0
202324 A+2 teams 500453 912016 341388 225 .201.269.289.558 .088.272 287 .249 49 -29 +2 +0 +2 +14 -1.1
202425 AAMidland RockHounds 536485 842217 3315613 285 .173.245.266.511 .093.236 296 .228 33 -41 +4 +0 +2 +15 -2.0
202526 AAA2 teams 297274 51906 171012 260 .186.239.285.524 .099.263 346 .228 33 -22 +5 -2 +1 +8 -1.0
▸ 2026 Season (actual · ROS · total)
202627 AAASugar Land Space Cowboys 9387 14402 3433 21 .161.215.276.491 .115.286 463 .219 26 -8 +0 +0 +0 +3 -0.5
ROS27 MLBHOU 157144 27603 9523 61 .188.250.292.542 .104.275 336 .249 49 -9 +1 -0 +1 +4 -0.4
TOT27 MLBHOU 250231 411005 12956 82 .177.237.286.523 .108.273 385 .238 40 -17 +1 -0 +1 +7 -0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 20%HOU 370336 701617 24917 132 .208.275.324.600 .116.258 256 .269 64 -15 +2 -2 +1 +10 -0.3
202829 MLB 33%HOU 373339 711618 25926 132 .209.276.333.609 .124.260 257 .271 66 -14 +2 -3 +1 +11 -0.3
202930 MLB 43%HOU 375341 711618 25936 121 .208.274.331.606 .123.260 257 .271 65 -15 +2 -3 +1 +11 -0.4
203031 MLB 52%HOU 360327 671517 24916 101 .205.272.321.593 .116.259 257 .268 64 -15 +2 -4 +1 +10 -0.6
203132 MLB 64%HOU 341310 631416 23885 80 .203.269.313.582 .110.258 267 .264 60 -15 +2 -5 +1 +10 -0.8
203233 MLB 73%HOU 311282 561215 21825 60 .199.266.301.568 .103.256 267 .258 56 -16 +1 -5 +1 +9 -1.0
203334 MLB 81%HOU 268244 461004 18734 50 .189.256.279.534 .090.254 277 .252 51 -15 +1 -6 +1 +8 -1.1
▸ Career Totals (MLE all levels + projections)
Career 42213840 7611681070 272113173 15721 .198.264.302.566 .104.259 276 .254 53 -225 +23 -29 +15 +120 -9.8
/ 162G 650591 11826211 4217411 243 .200.265.306.571 .107.261 276 .254 53 -35 +4 -4 +2 +18 -1.5

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

YearAge LvlTeam PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
202122 AStockton Ports 6861 9300 5142 22 .148.235.197.432 .049.191 217 .209 18 -6 -0 +2 -0.5
202122 ROKACL Athletics 3128 8210 260 20 .286.333.429.762 .143.348 196 .326 108 +0 +0 +1 0.2
202223 A+Lansing Lugnuts 234206 55914 22376 42 .267.355.379.733 .112.309 169 .335 114 +4 +0 +7 1.1
202324 AAMidland RockHounds 200172 40914 21395 32 .233.333.366.700 .134.275 2010 .317 101 +0 -0 +6 0.6
202324 A+Lansing Lugnuts 300265 671613 29653 193 .253.333.355.688 .102.322 2210 .311 96 -1 +3 +8 1.0
202425 AAMidland RockHounds 536470 1053118 4811713 285 .223.313.345.657 .121.278 229 .298 87 -8 +4 +15 1.1
202526 MLBMiami Marlins 1616 4200 040 10 .250.250.375.625 .125.333 250 .274 68 -1 +0 -2 +1 +0 -0.0
202526 AAAJacksonville Jumbo Shrimp 281249 56906 26792 250 .225.303.333.637 .108.298 289 .287 78 -7 +5 +8 0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career 1616 4200 040 10 .250.250.375.625 .125.333 250 .274 68 -1 +0 -2 +1 +0 -0.0

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Scouting At Match Age Next 3 Yrs Peak 3 Yrs
Comp Age HIT PWR SPD EYE AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR AVG/OBP/SLG ISOBABIP HRSB K%BB% wRC+WAR
Jack Winkler (OGILVIE) 27 40 40 60 45 .197/.261/.298 .101.273 410 30% 6% 54 -0.6
Adam Engel
2018 · MLB
26 39→48 43→50 58→60 40 .195/.257/.310 .114.277 926 32% 6% 54 -1.4 .220/.274/.346 .126.300 1117 29% 5% 71 -0.3 .227/.287/.366.138.305132328%5%79+0.1
Ben DeLuzio
2023 · MLB
28 46→50 43→45 59→60 41 .223/.280/.338 .115.304 928 29% 6% 71 -0.3 .210/.270/.321 .111.305 1021 33% 6% 63 -0.8 .154/.224/.233.079.24891839%7%20-1.1
Jacob Hannemann
2018 · MLB
27 41→43 43→45 57→60 40 .204/.256/.319 .115.274 925 29% 5% 56 -1.3 .201/.252/.307 .106.262 1025 26% 5% 51 -1.7 .188/.238/.281.093.238102825%5%35-1.3
Tyler Saladino
2016 · MLB
27 47→46 42→45 58→55 45 .229/.281/.331 .102.277 925 21% 6% 69 -0.4 .235/.288/.341 .106.290 1020 22% 6% 76 +0.0 .228/.288/.326.099.289101724%7%69-0.2
Orlando Calixte
2019 · MLB
27 44→48 45 54→55 40 .221/.258/.338 .117.281 1318 26% 5% 61 -1.0 .222/.264/.325 .103.295 1118 27% 5% 60 -1.0 .211/.256/.276.065.28662527%6%41-0.6
Matt Lipka
2019 · AAA
27 42→52 41→45 55→60 42 .205/.259/.304 .099.267 820 26% 6% 53 -1.5 .223/.272/.330 .107.302 925 28% 6% 66 -0.6 .227/.278/.333.106.32394031%5%64-0.4
Darren Ford
2013 · MLB
27 47→53 40→45 57→65 41 .227/.273/.323 .096.302 735 27% 5% 63 -0.8 .223/.272/.305 .082.300 740 26% 6% 59 -1.1 .217/.270/.293.076.28774726%6%51-1.0
Jared Oliva
2023 · MLB
27 44→46 43→50 57→65 38 .217/.263/.332 .115.296 924 29% 5% 62 -0.9 .224/.284/.356 .132.289 1336 26% 6% 78 +0.2 .224/.292/.359.135.282145525%7%78+0.1
Kristopher Negrón
2013 · AAA
27 41→50 43→45 56→55 39 .205/.257/.315 .110.268 1120 27% 5% 56 -1.3 .208/.259/.310 .102.282 916 28% 5% 56 -1.3 .225/.289/.349.123.323141432%7%74-0.0
Ray-Patrick Didder
2023 · AAA
28 42→46 43→45 53→60 39 .207/.274/.314 .107.294 1121 32% 6% 63 -0.8 .188/.283/.307 .119.270 1328 33% 9% 67 -0.5 .158/.273/.275.117.225143434%10%52-1.1
Tony Thomas
2013 · AAA
27 40→46 47→50 57→55 38 .206/.252/.343 .138.276 1419 30% 5% 61 -1.0 .203/.248/.337 .134.292 1215 33% 5% 57 -1.2 .198/.241/.334.136.291111235%4%51-1.3
Matthew Batten
2023 · MLB
28 46→49 41→45 55 45 .219/.285/.311 .092.306 923 30% 8% 66 -0.6 .201/.270/.305 .104.274 1122 29% 8% 59 -1.1 .182/.250/.282.099.246112229%7%42-1.9
Johneshwy Fargas
2022 · MLB
27 44→49 43→45 59→65 39 .216/.266/.324 .108.289 1036 28% 5% 62 -0.9 .211/.271/.334 .123.287 1431 30% 5% 67 -0.5 .184/.255/.288.104.249144431%5%48-0.9
Tanner Kirwer
2023 · AA
27 43 43→40 59→60 45 .210/.290/.313 .104.303 1232 33% 9% 70 -0.3 .205/.276/.302 .097.296 1029 32% 7% 61 -1.0 .172/.244/.246.074.24494632%7%30-1.1
Kenny Wilson
2017 · AAA
27 47→50 39→40 56→60 43 .223/.280/.310 .087.303 527 27% 6% 64 -0.8 .214/.279/.306 .092.310 723 31% 7% 63 -0.9 .199/.267/.293.094.30582235%7%52-0.6
Pedro Florimón
2015 · MLB
28 44→52 41→45 53→55 42 .213/.265/.313 .100.286 818 28% 6% 58 -1.2 .215/.267/.323 .108.307 819 31% 6% 61 -1.0 .224/.280/.339.115.329101133%6%69-0.2
Jorge Mateo
2021 · MLB
26 41→46 43→50 55→65 34 .201/.239/.316 .115.290 921 33% 4% 47 -1.9 .222/.266/.359 .137.294 1330 28% 5% 71 -0.3 .217/.264/.366.149.272144425%5%70-0.2
Ryan Strausborger
2015 · AAA
27 44→45 41→45 61→55 40 .216/.257/.320 .104.275 823 24% 4% 56 -1.3 .215/.261/.318 .103.278 1026 25% 5% 58 -1.2 .204/.256/.297.093.27192827%5%48-0.9
Michael O'Neill
2019 · AAA
27 42→40 43→45 55 36 .208/.259/.319 .112.303 1121 34% 5% 58 -1.2 .217/.265/.310 .093.325 919 34% 5% 58 -1.2 .221/.265/.284.063.33771835%5%45-1.3
Justin Dean
2023 · AAA
26 43→47 42→45 58→65 38 .201/.273/.305 .104.324 926 38% 7% 61 -1.0 .204/.283/.299 .095.323 938 36% 9% 63 -0.8 .208/.288/.296.088.32284735%9%62-0.6