Jalen Hairston3B ACL Reds
Age 22 L/R 6'2" / 195 lbs ROK HR +9%K -4% Svc 0.0 · Ctrl thru 2037 peak 0.8 · 2030
wRC+†56
AVG/OBP/SLG.203 / .268 / .297
PA104
HR1
K%31
BB%7
MLB%0%
BAT: -5.2 runs (wOBA-derived runs vs avg)-5BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +0.4 runs (Positional adjustment)+0POSREP: +2.9 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
0.8peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2032
Service   0 yrs (est)
Team Control Through   2037
First FA Year   2038
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2032
2027MiLBstill in minors · estimated debut 2032
2028MiLBstill in minors · estimated debut 2032
2029MiLBstill in minors · estimated debut 2032
2030MiLBstill in minors · estimated debut 2032
2031MiLBstill in minors · estimated debut 2032
2032Ext / FA-deal$0.9M+0.7$3M+$2M
2033Ext / FA-deal$1.0M+0.6$3M+$2M
2034Ext / FA-deal$1.0M+0.4$2M+$1M
2035Ext / FA-deal$0.2M+0.1$0.5M+$0.3M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $4M $6M +$1M

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
202521 ROKACL Reds 124116 16301 7431 70 .138.194.190.383 .052.208 356 .170 -12 -16 +1 +0 +0 +4 -1.1
▸ 2026 Season
202622 MLBCIN 10494 19311 8321 10 .202.272.287.559 .085.289 318 .259 56 -5 +0 +0 +0 +3 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%CIN 175158 33613 13512 31 .209.277.316.594 .108.291 297 .276 70 -6 +0 +0 +1 +5 -0.0
202824 MLB 26%CIN 288260 581027 23823 41 .223.294.358.651 .135.293 288 .288 78 -7 +0 +0 +1 +8 0.3
202925 MLB 43%CIN 359322 711229 301014 51 .220.295.354.649 .134.294 288 .295 84 -7 +1 +0 +1 +10 0.6
203026 MLB 58%CIN 405364 8314311 341134 61 .228.301.374.675 .146.295 288 .299 87 -6 +1 +0 +1 +11 0.8
203127 MLB 76%CIN 427383 8615311 371204 61 .225.300.366.665 .141.295 289 .299 87 -6 +1 +0 +2 +12 0.8
203228 MLB 84%CIN 438393 8815311 381244 61 .224.299.361.660 .137.294 289 .298 86 -7 +1 -1 +2 +12 0.7
203329 MLB 90%CIN 437392 8715311 381254 50 .222.297.360.657 .138.293 299 .296 85 -8 +1 -1 +2 +12 0.6
203430 MLBCIN 433388 8615311 381254 40 .222.298.361.658 .139.292 299 .293 82 -9 +1 -2 +2 +12 0.4
203531 MLBCIN 422378 8214310 371244 20 .217.294.349.643 .132.291 299 .289 79 -10 +0 -3 +2 +12 0.1
203632 MLBCIN 406364 771329 351214 00 .212.288.332.620 .121.289 309 .284 76 -11 +0 -4 +1 +12 -0.2
203733 MLBCIN 378339 711228 331153 00 .209.285.327.613 .118.288 309 .279 72 -12 +0 -4 +1 +11 -0.4
203834 MLBCIN 334299 621027 291053 00 .207.284.324.608 .117.286 319 .273 67 -13 +0 -5 +1 +9 -0.7
▸ Career Totals (MLE all levels + projections)
Career 47304250 91915730110 400138145 496 .216.291.345.635 .129.291 298 .286 77 -121 +7 -20 +17 +134 1.8
/ 162G 650584 12622415 551906 71 .216.290.344.634 .128.291 298 .286 77 -17 +1 -3 +2 +18 0.2

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
202521 ROKACL Reds 124112 24402 10301 70 .214.282.304.586 .089.275 248 .269 64 -5 +1 +4 -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
Jalen Hairston (OGILVIE) 22 .203/.268/.297 .094.289 11 31% 7% 56 -0.2
Daniel Schneemann
2019 · A
22 39→49 40→50 50 43 .189/.254/.283 .094.277 76 33% 8% 46 -2.0 .211/.272/.298 .087.290 78 28% 7% 57 -1.2 .226/.305/.377.151.297151328%10%89+0.7
Ashton McGee
2021 · A
22 41 39→50 50→40 41 .194/.258/.283 .089.288 55 33% 7% 48 -1.9 .206/.290/.322 .116.364 113 42% 10% 72 -0.2 .191/.284/.307.117.34612244%11%63-0.4
Parker Meadows
2022 · A
22 37→47 41→55 44→55 41 .185/.244/.280 .095.257 99 31% 7% 41 -2.3 .218/.280/.374 .156.279 1716 27% 7% 82 +0.5 .225/.292/.400.175.278202126%8%91+1.1
Tirso Ornelas
2022 · A
22 40→50 38→50 48→45 44 .191/.257/.275 .084.274 55 31% 8% 46 -2.0 .236/.295/.354 .118.303 116 25% 7% 82 +0.5 .245/.303/.373.128.30214723%7%87+0.8
Adrian Del Castillo
2023 · A
23 36→45 43→55 52→40 41 .184/.246/.294 .110.257 107 32% 7% 46 -2.0 .210/.280/.351 .141.289 154 31% 8% 76 +0.0 .218/.292/.382.164.29319131%9%86+0.5
Grant Witherspoon
2019 · A
22 40→45 41→55 52→50 37 .196/.247/.291 .094.295 89 35% 6% 44 -2.1 .200/.250/.306 .106.278 1112 31% 6% 50 -1.7 .216/.275/.377.161.291211432%7%77+0.1
Christopher Familia
2022 · A
22 43 38→55 48→45 43 .202/.271/.290 .088.281 510 28% 7% 56 -1.3 .214/.281/.369 .155.272 195 28% 7% 81 +0.4 .207/.271/.391.184.25326230%6%78+0.1
Addison Barger
2021 · A
21 39→46 39→55 49→45 44 .191/.262/.281 .090.258 65 27% 7% 50 -1.8 .216/.278/.376 .160.319 197 36% 7% 81 +0.4 .220/.291/.385.165.27218625%8%84+0.5
Raynel Delgado
2022 · A
22 38→48 40→45 47→60 36 .188/.241/.276 .088.286 813 36% 6% 39 -2.5 .212/.279/.309 .097.297 817 29% 7% 63 -0.8 .240/.303/.338.098.32583227%7%77+0.1
Travis Blankenhorn
2019 · A
22 40→43 45→55 51→50 38 .201/.261/.328 .127.288 117 33% 6% 61 -1.0 .215/.262/.357 .142.295 169 32% 5% 69 -0.4 .211/.283/.380.168.27621631%8%81+0.3
Carlos Luis
2022 · A
22 44→53 40→45 46→40 40 .212/.259/.304 .091.298 76 30% 6% 53 -1.5 .232/.281/.330 .098.311 83 26% 6% 69 -0.4 .234/.283/.329.095.3089126%6%67-0.4
Chris Meyers
2022 · A
23 41→46 42→50 51→40 45 .201/.269/.304 .103.264 911 26% 7% 59 -1.1 .222/.280/.362 .140.293 167 29% 6% 79 +0.3 .226/.286/.378.152.29419329%6%82+0.3
Iverson Leonardo
2023 · A
21 37 44→50 49→50 40 .188/.259/.305 .117.281 129 36% 7% 55 -1.4 .194/.278/.291 .097.346 78 42% 9% 59 -1.1 .146/.273/.221.075.3593452%12%39-0.5
Nick Maton
2019 · A
22 41 43→50 47→45 40 .205/.254/.316 .111.280 106 30% 6% 54 -1.4 .206/.270/.307 .101.282 98 28% 7% 59 -1.1 .214/.305/.368.154.26418425%10%88+0.6
Carlos Guzman
2008 · A
22 40→48 43→50 53→50 44 .197/.278/.309 .112.288 119 33% 8% 64 -0.8 .221/.269/.333 .112.308 129 31% 6% 65 -0.7 .235/.287/.332.097.30810326%6%70-0.2
Mike Daniel
2007 · A
22 39→49 42→45 48→50 42 .193/.256/.293 .100.274 1011 32% 7% 50 -1.8 .232/.283/.346 .114.314 1114 28% 6% 74 -0.1 .239/.288/.351.112.317111527%6%75+0.0
Kyle Kubitza
2013 · A
23 40→50 41→50 49→50 43 .194/.262/.301 .107.286 711 33% 8% 54 -1.4 .214/.288/.342 .128.327 910 34% 9% 76 +0.0 .219/.294/.350.131.33491034%9%79+0.3
Jace Jung
2023 · A
22 45→42 39→55 50→40 50 .212/.293/.305 .093.295 68 28% 10% 69 -0.4 .219/.303/.384 .165.289 204 29% 10% 94 +1.3 .212/.303/.382.169.27421329%11%91+1.0
Akil Baddoo
2021 · A
22 41→51 43→55 55 44 .198/.268/.314 .116.295 914 34% 8% 60 -1.0 .234/.308/.374 .140.313 1421 27% 10% 92 +1.2 .232/.314/.375.143.300152426%11%91+0.8
Luis Liberato
2018 · A
22 43→51 44→50 50 40 .209/.260/.333 .124.300 107 33% 6% 61 -1.0 .216/.262/.350 .134.285 157 29% 6% 67 -0.5 .210/.278/.360.150.29016932%8%75+0.0