Won-Bin ChoOF Peoria Chiefs
Age 22 L/L 6'1" / 200 lbs A+ HR -7%K -4% Svc 0.0 · Ctrl thru 2035 peak 0.7 · 2030
wRC+†45
AVG/OBP/SLG.191 / .267 / .283
PA320
HR5
SB19
K%35
BB%8
MLB%0%
BAT: -19.8 runs (wOBA-derived runs vs avg)-20BATRUN: +2.3 runs (SB/CS + UBR baserunning)+2RUNFLD: -0.4 runs (Defensive runs vs avg)-0FLDPOS: -1.9 runs (Positional adjustment)-2POSREP: +9.1 runs (Replacement-level credit)+9REPTotal WAR: -1.10-1.1WAR
Scouting · nowfuture
HIT
3040
PWR
5055
SPD
5050
FLD
4050
EYE
4945
trajectory · 10 yrs
0.8peak
2030

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2030
Service   0 yrs (est)
Team Control Through   2035
First FA Year   2036
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2030
2027MiLBstill in minors · estimated debut 2030
2028MiLBstill in minors · estimated debut 2030
2029MiLBstill in minors · estimated debut 2030
2030Arb-2$0.9M+0.7$3M+$2M
2031Arb-3$0.9M+0.7$3M+$2M
2032Ext / FA-deal$0.9M+0.6$3M+$2M
2033Ext / FA-deal$0.8M+0.4$2M+$1M
2034Ext / FA-deal$0.4M+0.2$1M+$0.6M
2035Ext / FA-deal$0.6M
Totals $5M $12M +$7M

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
202218 ROKFCL Cardinals 10082 9110 14384 64 .110.270.146.416 .037.205 3814 .217 24 -9 -0 +0 -1 +3 -0.7
202319 APalm Beach Cardinals 452394 871246 481454 3211 .221.312.317.629 .096.325 3211 .281 73 -14 +2 +0 -3 +13 -0.2
202420 A+Peoria Chiefs 428383 721132 271699 138 .188.258.248.506 .060.324 396 .223 29 -34 -1 +0 -3 +12 -2.6
202521 A+2 teams 385345 661106 351283 264 .191.272.275.547 .084.283 339 .247 47 -23 +4 +0 -2 +11 -1.1
▸ 2026 Season (actual · ROS · total)
202622 A+Peoria Chiefs 6154 7201 6181 81 .130.230.222.452 .093.171 3010 .221 27 -5 +1 +0 -0 +2 -0.2
ROS22 MLBSTL 259232 42714 22883 113 .181.261.272.532 .091.272 348 .250 49 -15 +1 -0 -2 +7 -0.9
TOT22 MLBSTL 320286 49915 281064 194 .171.255.262.517 .091.250 339 .244 45 -20 +2 -0 -2 +9 -1.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202723 MLB 11%STL 427379 761329 401255 174 .201.285.317.602 .116.270 299 .276 70 -15 +2 -1 -3 +12 -0.4
202824 MLB 26%STL 479425 9016213 461365 184 .212.296.351.647 .139.274 2810 .290 80 -11 +2 -1 -3 +14 0.1
202925 MLB 44%STL 507446 9717215 501426 184 .217.305.365.670 .148.276 2810 .298 86 -8 +2 -1 -3 +14 0.5
203026 MLB 59%STL 523460 10017216 521466 174 .217.305.367.672 .150.278 2810 .303 90 -6 +2 -1 -3 +15 0.7
203127 MLB 76%STL 528464 10017216 531486 163 .216.304.364.668 .149.278 2810 .303 90 -6 +2 -1 -3 +15 0.7
203228 MLB 84%STL 527463 10017216 531486 143 .216.305.365.670 .149.278 2810 .302 90 -6 +2 -1 -3 +15 0.6
203329 MLB 90%STL 519455 9817216 531476 132 .215.305.367.672 .152.277 2810 .300 88 -7 +2 -2 -3 +15 0.4
203430 MLBSTL 510447 9516215 521476 112 .213.303.358.661 .145.275 2910 .297 86 -8 +1 -3 -3 +14 0.2
203531 MLBSTL 497438 9216214 511455 91 .210.300.352.651 .142.273 2910 .293 83 -10 +1 -4 -3 +14 -0.1
203632 MLBSTL 479422 8715213 491425 70 .206.296.344.640 .137.272 3010 .289 79 -11 +1 -4 -3 +14 -0.3
203733 MLBSTL 450397 7913112 451375 50 .199.289.327.616 .128.270 3010 .283 75 -13 +1 -5 -3 +13 -0.7
203834 MLBSTL 404356 7012110 411264 40 .197.287.320.607 .124.268 3110 .277 70 -14 +1 -5 -2 +11 -1.0
▸ Career Totals (MLE all levels + projections)
Career 74746588 136022831183 731225788 23757 .206.294.334.628 .127.281 3010 .284 75 -209 +25 -28 -45 +212 -4.6
/ 162G 650573 11920316 641968 215 .208.297.337.633 .129.282 3010 .284 75 -18 +2 -2 -4 +18 -0.4

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
202218 ROKFCL Cardinals 10076 16311 20274 64 .211.400.316.716 .105.312 2720 .344 121 +2 -0 +3 0.5
202319 APalm Beach Cardinals 452378 1021457 64984 3211 .270.381.389.770 .119.341 2214 .347 124 +12 +2 +13 2.8
202420 A+Peoria Chiefs 428374 851542 361349 138 .227.310.305.615 .078.343 318 .279 72 -14 -1 +12 -0.2
202521 A+Peoria Chiefs 368313 741506 50873 254 .236.347.342.689 .105.308 2414 .317 101 +0 +3 +10 1.5
202521 APalm Beach Cardinals 1716 5001 170 10 .312.353.500.853 .188.500 416 .376 146 +1 +0 +0 0.2

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
Won-Bin Cho (OGILVIE) 22 30→40 50→55 50 45 .191/.267/.283 .092.289 510 35% 8% 53 -0.8
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
Taylor Trammell
2021 · AA
23 41→46 40→55 51→55 45 .199/.275/.286 .087.289 817 32% 9% 56 -1.3 .209/.288/.365 .156.289 1915 32% 9% 82 +0.5 .205/.299/.385.179.274222332%11%90+0.6
Nick Pratto
2021 · A
22 37→43 43→55 49→50 33 .182/.230/.286 .104.302 1113 42% 6% 37 -2.7 .201/.287/.393 .192.294 249 38% 9% 90 +1.0 .196/.288/.385.190.28124737%10%87+0.7
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
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
Enmanuel Valdez
2021 · A
22 39→46 42→60 46→45 40 .197/.250/.302 .104.268 109 30% 6% 50 -1.8 .217/.274/.390 .173.270 228 28% 7% 83 +0.6 .224/.290/.404.180.26824826%8%90+0.8
Trent Grisham
2019 · AA
22 40→48 40→60 52→55 49 .192/.279/.284 .092.285 816 33% 10% 58 -1.2 .228/.312/.397 .169.286 1914 26% 10% 101 +1.8 .238/.325/.431.194.282221423%10%110+1.9
Bo Naylor
2022 · AA
22 34→43 46→55 53→50 39 .181/.240/.306 .126.262 1410 36% 7% 46 -2.0 .213/.300/.385 .172.281 2013 30% 10% 93 +1.3 .216/.308/.399.183.269221228%11%97+1.2
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
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
Jeremy Hazelbaker
2010 · A
22 39→49 38→55 53→60 37 .183/.245/.262 .079.313 615 41% 7% 37 -2.7 .203/.264/.319 .116.305 1032 35% 7% 59 -1.1 .241/.302/.415.174.340162132%7%96+0.8
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
Ryan Schimpf
2011 · A
23 39 43→60 52→45 39 .192/.257/.314 .121.284 910 34% 6% 56 -1.3 .198/.273/.355 .157.273 177 32% 8% 74 -0.1 .201/.284/.419.218.23528228%9%91+0.9
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
Brian Pointer
2014 · A
22 37→41 42→45 51→50 39 .184/.253/.293 .109.274 1013 35% 6% 50 -1.8 .204/.277/.329 .125.307 1312 35% 8% 69 -0.4 .204/.281/.340.136.306151236%9%69-0.3
Juan Silva
2013 · A
22 45→47 42→45 48→55 46 .215/.287/.318 .103.305 912 30% 9% 69 -0.4 .227/.304/.329 .102.305 823 26% 10% 79 +0.3 .224/.305/.319.095.29372924%10%74-0.1
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
Caleb Roberts
2023 · AA
23 40→43 42→50 50 42 .194/.271/.297 .103.298 912 36% 8% 58 -1.2 .202/.279/.332 .130.296 1211 33% 8% 70 -0.3 .195/.272/.328.134.276131032%8%64-0.6
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
Michael A. Taylor
2013 · A
22 38→48 41→55 48→60 36 .188/.234/.290 .102.278 814 34% 5% 39 -2.5 .212/.267/.337 .125.319 1225 35% 6% 66 -0.6 .236/.294/.379.143.303191428%7%86+0.6