Justin CapellanC DSL NYY Yankees
Age 20 R/R 5'10" / 180 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 3.1 · 2033
wRC+†77
AVG/OBP/SLG.216 / .289 / .340
PA156
HR3
K%27
BB%8
MLB%0%
BAT: -4.0 runs (wOBA-derived runs vs avg)-4BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +2.8 runs (Positional adjustment)+3POSREP: +4.4 runs (Replacement-level credit)+4REPTotal WAR: +0.30+0.3WAR
Scouting · nowfuture
HIT
4040
PWR
4545
SPD
6060
EYE
4750
trajectory · 10 yrs
3.0peak
2032

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
2032Pre-Arb$0.9M+3.0$29M+$28M
2033Pre-Arb$1.0M+3.1$31M+$30M
2034Pre-Arb$1.0M+2.9$29M+$28M
2035Arb-1$5M+2.8$29M+$24M
2036Arb-2$8M+2.6$28M+$20M
2037Arb-3$10M+2.2$24M+$14M
Totals $27M $170M +$143M

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
202418 ROKDSL NYY Bombers 156135 20700 10479 112 .148.253.200.453 .052.222 306 .218 25 -13 +1 +0 +3 +4 -0.5
202519 ROKDSL NYY Yankees 186160 26704 15507 164 .163.264.281.545 .119.200 278 .241 43 -12 +2 +0 +3 +5 -0.2
▸ 2026 Season
202620 MLBNYY 156141 31613 12432 31 .220.290.340.631 .121.285 288 .286 77 -4 +0 +0 +3 +4 0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%NYY 235210 47916 20613 61 .224.300.362.662 .138.287 269 .301 89 -3 +1 +0 +4 +7 0.9
202822 MLB 28%NYY 353313 7213210 32895 92 .230.311.380.692 .150.288 259 .310 95 -2 +1 +0 +6 +10 1.6
202923 MLB 48%NYY 432382 9017213 411066 112 .236.319.393.712 .157.289 259 .316 100 +0 +1 +0 +8 +12 2.2
203024 MLB 62%NYY 484427 10219315 471177 123 .239.324.403.727 .164.289 2410 .320 103 +2 +1 +0 +9 +14 2.6
203125 MLB 80%NYY 514451 10820316 511247 133 .239.326.404.730 .164.290 2410 .324 106 +3 +1 +0 +9 +15 2.9
203226 MLB 94%NYY 520456 10920316 521257 133 .239.326.401.728 .162.290 2410 .325 107 +4 +1 +0 +9 +15 3.0
203327 MLBNYY 520455 10820316 531267 132 .237.326.400.726 .163.290 2410 .325 107 +4 +2 +0 +9 +15 3.1
203428 MLBNYY 520455 10820316 531277 122 .237.326.400.726 .163.290 2410 .324 106 +4 +2 -1 +9 +15 2.9
203529 MLBNYY 520455 10820316 531287 122 .237.326.400.726 .163.289 2510 .322 105 +3 +2 -1 +9 +15 2.8
203630 MLBNYY 519454 10619316 531307 121 .233.323.394.717 .161.287 2510 .319 102 +1 +2 -2 +9 +15 2.6
203731 MLBNYY 491431 9818214 501257 101 .227.318.376.693 .148.286 2510 .315 99 -0 +2 -3 +9 +14 2.2
203832 MLBNYY 459403 9016213 471196 90 .223.314.370.683 .146.284 2610 .310 96 -2 +2 -4 +8 +13 1.8
203933 MLBNYY 418367 8115211 431115 80 .221.311.362.673 .142.283 2710 .305 92 -4 +2 -4 +7 +12 1.3
204034 MLBNYY 363318 691229 371005 70 .217.308.352.661 .135.281 2810 .298 86 -6 +1 -5 +6 +10 0.8
204135 MLBNYY 305267 561017 31874 60 .210.301.333.635 .124.279 2910 .291 81 -7 +1 -6 +5 +9 0.3
204236 MLBNYY 246217 44815 24733 50 .203.291.318.609 .115.276 3010 .282 74 -7 +1 -6 +4 +7 -0.1
204337 MLBNYY 186164 32514 18572 40 .195.283.311.594 .116.272 3110 .272 66 -7 +1 -7 +3 +5 -0.5
▸ Career Totals (MLE all levels + projections)
Career 75836661 150528138210 7421945113 19229 .226.314.374.688 .148.285 2610 .309 95 -46 +27 -38 +135 +215 29.8
/ 162G 650571 12924318 6416710 162 .226.315.373.688 .147.285 2610 .309 95 -4 +2 -3 +12 +18 2.6

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
202418 ROKDSL NYY Bombers 156128 311201 17339 112 .242.370.359.730 .117.312 2111 .335 115 +3 +1 +4 0.9
202519 ROKDSL NYY Yankees 186149 381006 26347 164 .255.390.443.833 .188.283 1814 .368 140 +8 +2 +5 1.6

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
Justin Capellan (OGILVIE) 20 40 45 60 50 .216/.289/.340 .124.285 33 27% 8% 77 +0.0
Addison Russell
2014 · A
20 48→52 49→55 58→50 45 .235/.304/.393 .158.314 1416 29% 8% 96 +1.5 .241/.304/.403 .162.308 1710 26% 7% 98 +1.6 .241/.312/.408.167.29918525%8%96+1.3
Hao-Yu Lee
2023 · A
20 48→44 45→50 48→55 46 .232/.304/.355 .124.309 1212 28% 8% 86 +0.8 .239/.303/.370 .131.306 1316 25% 7% 89 +1.0 .238/.303/.382.143.296141924%7%90+0.7
Agustín Ramírez
2023 · A
21 43→45 45→55 50 43 .213/.273/.339 .126.289 1210 30% 7% 69 -0.4 .229/.292/.389 .160.276 1913 24% 8% 90 +1.0 .230/.293/.405.176.264221622%7%92+1.1
Ravel Santana
2011 · A
19 43 46→50 51→55 47 .214/.294/.340 .125.274 1415 26% 8% 79 +0.3 .220/.281/.362 .142.292 1613 29% 7% 79 +0.3 .205/.253/.387.182.264221531%6%72-0.1
Royce Lewis
2019 · A
20 48→49 43→60 53→50 45 .233/.286/.344 .111.281 1017 21% 6% 76 +0.0 .207/.254/.310 .103.281 915 28% 5% 53 -1.5 .261/.323/.483.222.300311424%8%123+1.6
Gabriel Moreno
2021 · A
21 47 47→45 52→45 44 .234/.278/.373 .139.262 137 17% 4% 79 +0.3 .273/.326/.410 .137.323 148 19% 6% 109 +2.4 .295/.351/.419.124.35412919%7%118+1.4
Jett Williams
2023 · A
19 45 41→55 55 43 .216/.285/.315 .099.290 713 27% 7% 68 -0.5 .204/.313/.323 .119.295 1023 31% 12% 83 +0.6 .202/.308/.336.135.284112630%12%81+0.3
Harry Ford
2023 · A
20 47→48 47→45 52→55 51 .222/.325/.360 .138.317 1414 32% 11% 98 +1.6 .212/.315/.336 .124.285 1217 27% 11% 87 +0.8 .208/.314/.324.116.273121926%11%80+0.3
Jeferson Quero
2023 · A
20 46→45 44→50 49→45 42 .228/.277/.347 .120.291 129 26% 6% 72 -0.2 .227/.283/.368 .141.281 177 25% 6% 81 +0.4 .224/.287/.379.156.25920522%7%83+0.3
Blaze Alexander
2019 · A
20 48 42→50 52→50 43 .226/.287/.342 .117.320 810 30% 7% 76 +0.0 .206/.274/.311 .105.300 911 32% 7% 63 -0.9 .220/.308/.345.126.328131034%8%84+0.4
Alonzo Harris
2009 · A
20 44→50 45→55 50→60 40 .221/.276/.342 .121.296 1311 29% 6% 71 -0.3 .205/.243/.307 .102.275 1112 29% 4% 46 -2.0 .240/.296/.401.161.286193522%7%92+0.9
Marcus Greene Jr.
2016 · A
21 42 46→50 52→40 44 .205/.283/.341 .136.298 138 34% 9% 74 -0.1 .199/.260/.324 .125.272 144 31% 7% 60 -1.0 .192/.251/.302.111.25513129%6%48-0.7
Ronarsy Ledesma
2013 · A
20 49 40→45 51→50 44 .231/.300/.334 .103.298 613 23% 6% 79 +0.3 .214/.266/.312 .098.287 610 26% 5% 59 -1.1 .194/.236/.286.092.2698830%4%36-0.9
Jonathan India
2019 · A
22 43→51 45→50 51→50 45 .208/.290/.333 .125.296 1210 32% 8% 76 +0.0 .217/.304/.340 .123.297 1210 29% 9% 83 +0.6 .243/.342/.393.150.294171122%10%107+1.9
Yu Chang
2015 · A
19 48→44 45→50 53→45 44 .235/.290/.363 .127.295 128 24% 6% 82 +0.5 .202/.254/.328 .126.277 127 31% 6% 58 -1.2 .213/.268/.374.161.27120629%6%75-0.0
Evan Van Hoosier
2015 · A
21 45 44→50 55→50 43 .222/.271/.351 .128.275 1010 23% 6% 70 -0.3 .228/.271/.337 .109.304 79 26% 5% 66 -0.6 .233/.276/.342.109.32451028%4%67-0.2
Bryan Rincon
2023 · A
19 43→42 45→40 53→65 45 .213/.281/.336 .123.279 1311 28% 8% 72 -0.2 .194/.288/.298 .104.270 921 29% 10% 66 -0.6 .165/.260/.259.093.23893032%10%44-1.1
Ezequiel Tovar
2022 · A
20 47→50 46→55 52→50 40 .232/.263/.360 .128.263 1315 18% 3% 70 -0.3 .246/.283/.399 .153.306 1714 25% 4% 89 +0.9 .251/.287/.420.170.321191128%4%93+1.2
Dilson Herrera
2014 · A
20 43→53 45→50 49→50 40 .213/.264/.339 .126.281 1211 28% 6% 65 -0.7 .248/.297/.383 .135.313 1413 24% 6% 90 +1.0 .257/.307/.397.140.313151322%6%94+1.2
Derek Norris
2009 · A
20 40→50 42→55 49→50 43 .194/.269/.300 .106.295 96 35% 9% 58 -1.2 .209/.301/.372 .163.281 206 31% 11% 91 +1.1 .254/.332/.403.149.31115522%10%106+1.6