Sebastian CastroOF FCL Mets
Age 21 L/R 6'2" / 185 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 0.7 · 2031
wRC+†56
AVG/OBP/SLG.200 / .266 / .298
PA91
HR1
K%32
BB%7
MLB%0%
BAT: -4.5 runs (wOBA-derived runs vs avg)-5BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.5 runs (Positional adjustment)-1POSREP: +2.6 runs (Replacement-level credit)+3REPTotal WAR: -0.20-0.2WAR
trajectory · 10 yrs
0.7peak
2031

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$0.4M+0.2$1M+$0.6M
2036Ext / FA-deal$0.4M
2037Ext / FA-deal$0.6M
Totals $4M $8M +$3M

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
202116 ROKDSL Mets 1 148132 12111 13802 34 .091.184.136.320 .045.212 549 .156 -22 -20 -1 +0 -1 +4 -1.9
202217 ROKDSL Mets 1 165136 15430 27832 73 .110.267.184.450 .074.283 5016 .214 22 -15 +0 +0 -1 +5 -1.1
202419 ROK3 teams 129117 11111 7614 52 .094.172.145.317 .051.182 475 .142 -33 -19 +0 +0 -1 +4 -1.7
▸ 2026 Season
202621 MLBNYM 9183 17311 7291 10 .205.275.301.576 .096.288 328 .258 56 -5 +0 +0 -1 +3 -0.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202722 MLB 11%NYM 159144 30513 12482 31 .208.278.319.598 .111.290 308 .278 71 -5 +0 +0 -1 +5 -0.1
202823 MLB 28%NYM 283255 561027 23823 51 .220.292.357.649 .137.291 298 .290 80 -6 +1 +0 -2 +8 0.1
202924 MLB 45%NYM 372333 7413210 321054 71 .222.298.363.661 .141.292 289 .298 86 -6 +1 +0 -2 +11 0.4
203025 MLB 60%NYM 425380 8615312 371195 82 .226.303.376.680 .150.293 289 .303 90 -5 +1 +0 -3 +12 0.5
203126 MLB 77%NYM 457408 9216313 411285 82 .225.304.375.679 .150.294 289 .305 91 -4 +1 +0 -3 +13 0.7
203227 MLB 92%NYM 472421 9516314 431335 81 .226.305.378.683 .152.294 289 .305 91 -5 +1 +0 -3 +13 0.7
203328 MLBNYM 478426 9717314 441355 81 .228.307.380.688 .153.293 289 .304 91 -5 +1 -1 -3 +14 0.6
203429 MLBNYM 474423 9416313 431355 71 .222.301.366.668 .144.292 289 .302 89 -6 +1 -1 -3 +13 0.4
203530 MLBNYM 468417 9316313 431355 50 .223.303.369.673 .146.291 299 .299 87 -7 +1 -2 -3 +13 0.2
203631 MLBNYM 456406 8915312 421345 30 .219.300.360.660 .140.290 299 .295 84 -8 +1 -3 -3 +13 -0.0
203732 MLBNYM 439392 8314211 401314 10 .212.291.342.633 .130.288 309 .290 80 -10 +0 -4 -3 +12 -0.3
203833 MLBNYM 411367 7713210 371264 00 .210.289.338.627 .128.286 319 .285 76 -11 +0 -4 -2 +12 -0.6
203934 MLBNYM 367328 671128 331153 00 .204.283.323.606 .119.285 319 .278 71 -12 +0 -5 -2 +10 -0.9
▸ Career Totals (MLE all levels + projections)
Career 57945168 108818638143 524177964 7919 .211.291.344.635 .134.289 319 .286 77 -150 +8 -20 -35 +164 -3.2
/ 162G 650580 12221416 592007 92 .210.291.343.634 .133.289 319 .286 77 -17 +1 -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
202116 ROKDSL Mets 1 148123 20221 22502 34 .163.299.236.535 .073.260 3415 .259 56 -7 -1 +4 -0.4
202217 ROKDSL Mets 1 165121 21640 42582 73 .174.394.289.683 .116.333 3525 .333 113 +2 +0 +5 0.7
202419 A+Brooklyn Cyclones 1813 2000 460 00 .154.353.154.507 .000.286 3322 .256 54 -1 +0 +1 -0.0
202419 ASt. Lucie Mets 1615 4100 061 20 .267.312.333.646 .067.444 380 .296 85 -0 +0 +0 0.1
202419 ROKFCL Mets 9584 9111 8303 32 .107.211.179.389 .071.151 328 .192 5 -10 -0 +3 -0.8

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
Sebastian Castro (OGILVIE) 21 .200/.266/.298 .098.288 11 32% 7% 56 -0.2
Parker Meadows
2021 · A
21 40→47 41→55 46→55 42 .197/.253/.288 .091.267 99 29% 7% 47 -1.9 .203/.263/.335 .132.270 1412 29% 7% 64 -0.8 .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
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
Jack Suwinski
2019 · A
21 40→41 41→60 47→50 41 .198/.255/.292 .094.272 86 29% 6% 49 -1.8 .193/.259/.320 .127.287 146 35% 8% 59 -1.1 .210/.307/.421.211.281281034%11%102+1.6
Tirso Ornelas
2021 · A
21 40→50 37→50 51→45 44 .192/.255/.266 .074.272 56 30% 8% 42 -2.3 .219/.280/.322 .103.296 86 27% 7% 67 -0.5 .245/.303/.373.128.30214723%7%87+0.8
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
Travis Blankenhorn
2018 · A
21 42→43 45→55 54→50 40 .209/.270/.337 .128.288 128 31% 6% 67 -0.5 .208/.259/.341 .133.291 148 32% 5% 63 -0.8 .211/.283/.380.168.27621631%8%81+0.3
Travis Swaggerty
2019 · A
21 39→45 41→45 50→55 40 .195/.252/.295 .100.280 98 32% 6% 48 -1.9 .208/.273/.306 .098.298 915 31% 8% 60 -1.0 .207/.275/.308.100.30381932%8%58-0.7
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
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
Juan Silva
2012 · A
21 42→47 40→45 47→55 41 .199/.262/.291 .092.304 77 35% 8% 51 -1.7 .224/.299/.326 .102.311 919 28% 9% 76 +0.1 .231/.314/.336.105.31182926%10%84+0.4
Bo Naylor
2021 · A
21 41→43 44→55 50 43 .203/.259/.325 .122.273 117 29% 7% 59 -1.1 .199/.278/.352 .153.276 1812 33% 9% 75 -0.0 .216/.308/.399.183.269221228%11%97+1.2
LeVon Washington
2012 · A
21 44 39→45 51→50 46 .205/.280/.288 .083.305 613 32% 9% 59 -1.1 .234/.309/.335 .101.341 712 30% 9% 82 +0.5 .246/.314/.364.118.34181228%8%89+0.4
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
Josh Lowe
2019 · A
21 41→51 40→55 49→60 39 .197/.256/.291 .093.310 813 37% 7% 49 -1.8 .212/.275/.353 .141.307 1620 34% 8% 73 -0.1 .255/.314/.435.180.350203131%8%108+1.9
Angelo Songco
2010 · A
21 37→47 45→55 48→40 37 .192/.242/.317 .125.266 124 32% 5% 50 -1.7 .221/.272/.372 .151.273 164 25% 6% 77 +0.1 .219/.271/.380.160.26619325%6%77+0.1
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
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
Imanol Vargas
2019 · A
21 42→44 40→55 45 51 .201/.293/.296 .095.290 79 31% 11% 67 -0.5 .207/.286/.346 .139.312 157 36% 9% 76 +0.1 .200/.288/.364.164.31621240%10%79+0.2
Nick Pratto
2019 · A
20 40→43 43→55 50 36 .200/.247/.312 .112.301 1112 36% 6% 50 -1.7 .185/.244/.319 .134.300 1512 41% 7% 52 -1.6 .196/.288/.385.190.28124737%10%87+0.7