Alex AcostaOF DSL Mets Blue
Age 20 R/R 6'1" / 187 lbs ROK H +5%HR +3% Svc 0.0 · Ctrl thru 2037 peak 1.6 · 2033
wRC+†71
AVG/OBP/SLG.210 / .281 / .330
PA116
HR2
K%29
BB%8
MLB%0%
BAT: -3.8 runs (wOBA-derived runs vs avg)-4BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -0.7 runs (Positional adjustment)-1POSREP: +3.3 runs (Replacement-level credit)+3REPTotal WAR: -0.10-0.1WAR
Scouting · nowfuture
HIT
3136
PWR
3439
SPD
5358
EYE
4348
trajectory · 10 yrs
1.6peak
2033

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+1.5$14M+$13M
2033Ext / FA-deal$1.0M+1.6$16M+$15M
2034Ext / FA-deal$1.0M+1.4$14M+$13M
2035Ext / FA-deal$2M+1.2$13M+$10M
2036Ext / FA-deal$3M+1.0$11M+$7M
2037Ext / FA-deal$4M+0.8$4M+$0.5M
Totals $13M $72M +$59M

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
202317 ROKDSL Mets Orange 1714 2000 191 00 .143.250.143.393 .000.333 536 .167 -14 -2 +0 +0 -0 +0 -0.2
202418 ROKDSL Mets Blue 167151 26512 11514 63 .172.247.258.505 .086.242 317 .228 33 -13 +0 +0 -1 +5 -0.9
202519 ROKDSL Mets Blue 139127 23211 8473 121 .181.246.236.483 .055.275 346 .205 15 -13 +2 +0 -1 +4 -0.8
▸ 2026 Season
202620 MLBNYM 116105 22412 9341 21 .210.278.324.602 .114.284 298 .278 71 -4 +0 +0 -1 +3 -0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202721 MLB 11%NYM 200179 39715 17552 51 .218.293.352.645 .134.286 288 .294 83 -4 +1 +0 -1 +6 0.1
202822 MLB 28%NYM 326289 661229 30864 82 .228.310.377.687 .149.287 269 .304 91 -3 +1 +0 -2 +9 0.5
202923 MLB 48%NYM 411365 8415212 381065 102 .230.311.381.692 .151.288 269 .311 96 -2 +1 +0 -2 +12 0.9
203024 MLB 62%NYM 468414 9617314 451186 112 .232.316.389.705 .157.288 2510 .315 99 -0 +1 +0 -3 +13 1.2
203125 MLB 80%NYM 501441 10318315 491266 122 .234.319.390.709 .156.289 2510 .318 102 +1 +2 +0 -3 +14 1.4
203226 MLB 94%NYM 520457 10719316 521316 122 .234.320.394.714 .160.289 2510 .320 103 +2 +2 +0 -3 +15 1.5
203327 MLBNYM 527463 10819316 531336 122 .233.320.391.711 .158.289 2510 .320 103 +2 +2 +0 -3 +15 1.6
203428 MLBNYM 527462 10719316 541346 122 .232.320.390.710 .158.289 2510 .319 102 +1 +2 -1 -3 +15 1.4
203529 MLBNYM 520456 10619316 531346 112 .232.320.393.713 .160.288 2610 .317 101 +0 +1 -1 -3 +15 1.2
203630 MLBNYM 511448 10218315 521336 111 .228.316.382.698 .154.287 2610 .314 98 -1 +2 -2 -3 +14 1.0
203731 MLBNYM 498438 9817314 511326 100 .224.313.372.685 .148.285 2710 .310 95 -3 +2 -3 -3 +14 0.8
203832 MLBNYM 481424 9316213 491305 90 .219.308.358.666 .139.284 2710 .305 92 -4 +2 -4 -3 +14 0.5
203933 MLBNYM 452398 8615212 461255 80 .216.305.354.659 .138.282 2810 .300 88 -6 +2 -4 -3 +13 0.1
204034 MLBNYM 406358 7613210 411164 80 .212.300.344.644 .131.280 2910 .293 83 -8 +2 -5 -2 +12 -0.2
▸ Career Totals (MLE all levels + projections)
Career 67875989 134423538188 659180082 15923 .224.310.371.680 .146.286 2710 .306 93 -57 +23 -20 -41 +192 10.0
/ 162G 650574 13023418 631728 152 .226.312.375.687 .148.289 2610 .306 93 -5 +2 -2 -4 +18 1.0

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
202317 ROKDSL Mets Orange 1714 3000 161 00 .214.312.214.527 .000.333 356 .244 45 -1 +0 +0 -0.1
202418 ROKDSL Mets Blue 167142 35713 20334 63 .246.355.373.729 .127.299 2012 .332 112 +2 +0 +5 0.7
202519 ROKDSL Mets Blue 139122 31511 13323 121 .254.341.336.677 .082.333 239 .310 96 -1 +2 +4 0.5

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
Alex Acosta (OGILVIE) 20 31→36 34→39 53→58 48 .210/.281/.330 .119.284 22 29% 8% 71 -0.1
Efrain Contreras
2007 · A
20 44 41→45 51→55 44 .212/.278/.308 .097.264 88 22% 6% 63 -0.8 .227/.291/.336 .109.276 1014 21% 6% 76 +0.0 .227/.291/.331.104.281101522%5%72-0.1
Carlos Jimenez
2023 · A
20 38→41 46→50 53→55 45 .189/.278/.319 .129.289 1415 37% 10% 67 -0.5 .210/.289/.331 .121.326 1216 36% 9% 74 -0.1 .216/.296/.349.133.314151933%9%78+0.1
Robert Gonzalez
2021 · A
20 41 40→45 54→60 47 .189/.291/.289 .100.303 78 36% 10% 66 -0.6 .201/.301/.282 .081.273 617 26% 10% 68 -0.5 .180/.308/.228.048.22553019%12%56-0.5
Ronarsy Ledesma
2012 · A
19 42 42→45 47→50 43 .205/.277/.309 .104.271 98 27% 6% 64 -0.8 .224/.284/.326 .102.290 511 24% 5% 70 -0.3 .226/.280/.337.111.29161123%4%69-0.2
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
Zack Larson
2014 · A
20 46→37 41→45 53→50 41 .221/.280/.317 .096.294 812 27% 6% 66 -0.6 .205/.260/.273 .068.276 310 25% 6% 46 -2.0 .186/.243/.235.049.25211025%6%28-1.8
Jose Paez
2014 · A
20 46 39→45 51→50 38 .218/.263/.312 .093.303 512 29% 5% 56 -1.3 .209/.259/.289 .080.322 410 34% 6% 50 -1.8 .195/.251/.252.057.32041138%6%32-0.6
Bryan Ramos
2022 · A
20 40 45→50 49→50 41 .203/.270/.328 .125.273 128 30% 6% 66 -0.6 .212/.271/.357 .145.264 195 27% 6% 73 -0.1 .206/.264/.348.141.25120526%6%65-0.5
Sean Henry
2006 · A
20 42→52 43→50 55 42 .206/.271/.314 .108.302 1015 34% 8% 62 -0.9 .225/.279/.352 .127.288 1219 25% 6% 75 -0.0 .247/.300/.379.132.296121720%6%87+0.7
Maximo Rivera
2013 · A
20 44 40→45 51→60 43 .216/.269/.303 .087.273 922 24% 6% 57 -1.2 .215/.266/.291 .076.289 515 26% 6% 53 -1.5 .193/.242/.246.053.27321028%5%28-0.7
Kevin Padlo
2016 · A
20 39→40 46→55 50 46 .198/.273/.333 .136.268 138 30% 8% 68 -0.5 .186/.271/.313 .127.268 128 33% 10% 63 -0.9 .191/.263/.361.170.260211235%8%69-0.3
Jahmai Jones
2018 · A
20 48→50 42→55 51→50 43 .232/.283/.339 .107.293 916 24% 6% 72 -0.2 .209/.268/.311 .102.277 814 26% 7% 59 -1.1 .250/.346/.432.182.322171826%11%119+1.6
Ryan Vega
2017 · A
20 43 40 54→45 41 .211/.259/.301 .090.269 79 24% 5% 53 -1.5 .215/.274/.304 .089.288 77 26% 6% 59 -1.1 .193/.261/.272.079.2717630%7%46-1.1
Jose Meza
2023 · A
20 41→35 41→45 47→50 40 .199/.265/.295 .096.286 910 32% 6% 55 -1.4 .204/.294/.305 .101.301 98 32% 10% 70 -0.3 .186/.292/.283.097.27791033%11%63-0.5
Davis Schneider
2018 · A
19 40→44 41→55 48→50 50 .198/.276/.300 .102.259 86 26% 9% 60 -1.0 .193/.268/.290 .097.299 87 35% 8% 54 -1.4 .213/.322/.409.196.27524930%12%106+1.6
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
Jorge Alcantara
2012 · A
20 44 40→45 52→50 42 .210/.275/.308 .098.309 712 32% 7% 61 -1.0 .193/.264/.289 .096.292 714 33% 8% 53 -1.5 .147/.226/.244.097.22162534%8%24-0.9
Daz Cameron
2018 · A
21 40→45 44→55 52→55 41 .201/.263/.319 .117.279 1119 31% 6% 59 -1.1 .203/.270/.325 .122.295 1017 33% 7% 65 -0.7 .220/.291/.388.168.274202527%8%88+0.6
Edward Olivares
2016 · A
20 43→53 39→55 54→55 44 .207/.294/.298 .092.271 617 24% 6% 69 -0.4 .215/.272/.338 .123.275 1113 25% 5% 69 -0.4 .259/.316/.431.172.293201619%6%108+1.4
Albertson Asigen
2022 · A
20 43 39→40 53→55 44 .207/.262/.299 .092.279 57 27% 7% 53 -1.5 .223/.296/.298 .075.324 417 30% 8% 68 -0.5 .211/.299/.301.089.34672737%9%66-0.2