Moisés GómezOF San Antonio Missions
Age 27 R/R 6'0" / 200 lbs AA HR +13%BB +8% Svc 0.0 · Ctrl thru 2034
wRC+†56
AVG/OBP/SLG.193 / .248 / .326
PA250
HR7
K%37
BB%6
MLB%2%
BAT: -12.4 runs (wOBA-derived runs vs avg)-12BATRUN: +0.2 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: -1.5 runs (Positional adjustment)-2POSREP: +7.1 runs (Replacement-level credit)+7REPTotal WAR: -0.70-0.7WAR
Scouting · nowfuture
HIT
3535
PWR
4040
SPD
4545
EYE
4340
trajectory · 10 yrs
-0.7peak
2026

Contract

ESTIMATED  ·  service-time + WAR-based estimator (needs verification)
Status   MiLB
MLB Debut   2029
Service   0 yrs (est)
Team Control Through   2034
First FA Year   2035
YearStatusSalary Proj WAR Value Surplus
2026MiLBstill in minors · estimated debut 2029
2027MiLBstill in minors · estimated debut 2029
2028MiLBstill in minors · estimated debut 2029
2029Arb-1$0.8M
2030Arb-2$0.9M
2031Arb-3$0.9M
2032Ext / FA-deal$0.2M
2033Ext / FA-deal$0.4M
2034Extbeyond projection horizon · no WAR estimate
Totals $-14M $-29M -$15M

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
201516 ROKVSL Rays 207189 43715 14401 94 .228.284.354.639 .127.260 197 .278 71 -7 +0 +0 -1 +6 -0.2
201617 ROKGCL Rays 183172 26621 8531 43 .151.193.227.420 .076.208 294 .180 -4 -22 -0 +0 -1 +5 -1.8
201718 ROKPrinceton Rays 229216 42704 8744 101 .194.237.282.519 .088.273 323 .223 29 -18 +2 +0 -1 +6 -1.2
201819 A2 teams 655606 13230818 312214 64 .218.261.383.643 .165.299 345 .273 67 -24 -0 +0 -4 +19 -1.0
201920 A+Charlotte Stone Crabs 489442 7120113 342273 33 .161.225.299.524 .138.274 467 .232 36 -36 -1 +0 -3 +14 -2.6
202122 AA2 teams 324300 361007 191654 53 .120.183.223.406 .103.225 516 .182 -2 -38 -0 +0 -2 +9 -3.1
202223 AA3 teams 604553 12022236 412647 114 .217.280.459.739 .242.328 447 .311 97 -2 +1 +0 -4 +17 1.2
202324 AAA2 teams 692644 11719330 322668 71 .182.230.360.590 .179.244 385 .254 53 -37 +1 +0 -4 +20 -2.1
202425 INTL2 teams 344315 52705 231453 20 .165.229.235.464 .070.280 427 .205 15 -33 +0 +0 -2 +10 -2.5
202526 AA2 teams 637583 11532210 3622210 91 .197.256.310.566 .113.292 356 .247 47 -38 +1 +0 -4 +18 -2.3
▸ 2026 Season
202627 MLBSD 250231 45917 14913 31 .195.250.333.583 .139.285 366 .259 56 -12 +0 +0 -2 +7 -0.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202728 MLB 9%SD 333306 611319 201184 30 .199.258.337.594 .137.285 356 .264 60 -15 +1 -1 -2 +9 -0.8
202829 MLB 19%SD 352323 641319 221224 30 .198.258.328.586 .130.285 356 .266 62 -15 +1 -1 -2 +10 -0.8
202930 MLB 29%SD 363332 661419 241254 20 .199.261.328.589 .130.284 347 .266 62 -16 +0 -2 -2 +10 -0.9
203031 MLB 40%SD 358328 641319 231244 10 .195.256.323.580 .128.283 356 .264 60 -16 +0 -3 -2 +10 -1.1
203132 MLB 49%SD 345317 621318 221213 00 .196.254.319.573 .123.281 356 .259 57 -17 +0 -4 -2 +10 -1.3
203233 MLB 63%SD 318292 551117 201143 00 .188.248.305.552 .116.279 366 .254 52 -17 +0 -4 -2 +9 -1.5
203334 MLB 81%SD 277254 481016 181013 00 .189.251.307.558 .118.277 366 .247 47 -16 +0 -5 -2 +8 -1.5
▸ Career Totals (MLE all levels + projections)
Career 69606403 121925627193 409259373 7825 .190.247.329.576 .139.279 376 .253 52 -379 +6 -20 -42 +197 -24.3
/ 162G 650598 11424318 382427 72 .191.247.331.578 .140.279 376 .253 52 -35 +1 -2 -4 +18 -2.3

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
201516 ROKVSL Rays 207180 571026 23281 94 .317.397.494.892 .178.345 1411 .390 156 +13 +0 +6 2.0
201617 ROKGCL Rays 183168 37931 12371 43 .220.276.327.604 .107.273 207 .269 64 -7 -0 +5 -0.3
201718 ROKPrinceton Rays 229211 581105 13524 101 .275.329.398.727 .123.342 236 .326 107 +2 +2 +6 1.0
201819 ABowling Green Hot Rods 516471 13234719 341373 43 .280.333.503.836 .223.350 277 .360 133 +19 -0 +15 3.4
201819 INTLNavegantes del Magallanes 139127 32606 5381 21 .252.286.441.727 .189.292 274 .306 92 -1 +0 +4 0.3
201920 A+Charlotte Stone Crabs 489428 9426216 481643 33 .220.303.402.705 .182.302 3410 .308 94 -3 -1 +14 1.0
202122 AAMontgomery Biscuits 301269 461308 271154 53 .171.257.309.565 .138.259 389 .258 56 -15 -0 +9 -0.7
202122 INTLNavegantes del Magallanes 2321 8201 250 00 .381.435.6191.054 .238.467 229 .460 210 +3 +0 +1 0.4
202223 AAAMemphis Redbirds 244218 588216 25840 30 .266.342.541.883 .275.353 3410 .382 150 +14 +1 +7 2.2
202223 AASpringfield Cardinals 257224 7217023 27904 73 .321.404.7051.109 .384.434 3511 .469 217 +34 +0 +7 4.2
202223 INTLNavegantes del Magallanes 10388 25702 12263 11 .284.388.432.820 .148.383 2512 .371 142 +5 -0 +3 0.8
202324 AAAMemphis Redbirds 567514 11920330 391808 51 .232.296.457.753 .226.287 327 .328 109 +6 +1 +16 2.3
202324 INTLBravos de Margarita 125107 25305 16410 20 .234.333.402.735 .168.317 3313 .326 108 +1 +0 +4 0.5
202425 AAAMemphis Redbirds 162144 30403 16550 00 .208.287.299.586 .090.307 3410 .268 63 -7 +0 +5 -0.2
202425 INTLBravos de Margarita 182150 416015 28393 20 .273.398.6131.011 .340.268 2115 .433 189 +18 +0 +5 2.4
202526 AASan Antonio Missions 444394 912727 381286 91 .231.308.363.671 .132.317 299 .300 88 -6 +1 +13 0.8
202526 INTLBravos de Margarita 193165 358111 22564 00 .212.319.473.792 .261.240 2911 .345 122 +5 +0 +5 1.1

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
Moisés Gómez (OGILVIE) 27 35 40 45 40 .193/.248/.326 .133.285 73 37% 6% 56 -0.5
Caleb Hamilton
2022 · AAA
27 36 44→45 46→45 43 .181/.257/.295 .114.275 129 37% 9% 52 -1.6 .181/.267/.319 .138.277 186 38% 10% 63 -0.9 .145/.237/.274.129.20919339%10%37-0.8
Jason Delay
2022 · AAA
27 38 47→45 48→40 33 .198/.238/.325 .127.287 156 36% 4% 50 -1.7 .216/.269/.301 .085.295 55 27% 6% 56 -1.3 .226/.285/.301.075.2973223%6%61-0.4
Joe DeCarlo
2021 · AA
27 40→38 43→50 47→30 40 .197/.265/.308 .111.291 115 34% 7% 58 -1.2 .199/.260/.292 .093.305 96 35% 7% 51 -1.7 .163/.224/.224.061.2498036%7%16-1.3
Camden Duzenack
2022 · AAA
27 35→37 49→50 50 35 .190/.239/.328 .138.268 189 36% 5% 52 -1.6 .214/.262/.346 .132.279 1411 28% 5% 66 -0.6 .215/.267/.343.129.269141025%5%65-0.4
Jimmy Kerrigan
2021 · AAA
27 38→39 48→50 45→50 33 .200/.243/.334 .134.283 1711 35% 4% 55 -1.4 .213/.265/.360 .147.331 1813 39% 5% 72 -0.2 .200/.254/.351.152.317201342%5%63-0.6
Joe Dunand
2023 · AAA
27 38→46 45→50 49→45 38 .190/.256/.311 .120.289 128 37% 6% 55 -1.4 .222/.290/.373 .151.314 177 33% 7% 85 +0.7 .230/.304/.404.174.31321432%8%96+1.0
Chris Sharpe
2022 · AAA
26 38→39 45 45→50 39 .191/.258/.315 .124.278 1211 34% 6% 57 -1.2 .189/.266/.294 .105.293 813 36% 8% 56 -1.3 .164/.257/.268.103.25871636%9%46-1.0
Alvin Colina
2009 · AAA
27 39 45 45→40 37 .202/.247/.322 .121.269 145 30% 4% 53 -1.5 .213/.264/.338 .125.283 145 29% 5% 65 -0.7 .203/.256/.323.120.26415228%5%55-0.5
Tyler Marincov
2018 · AA
26 40→41 45→50 44→50 38 .204/.257/.326 .122.289 139 33% 6% 59 -1.1 .196/.253/.340 .144.300 1910 39% 6% 62 -0.9 .165/.222/.300.135.246201441%7%37-1.6
Elier Hernandez
2022 · AAA
27 38→48 46→50 45→50 35 .197/.243/.314 .117.280 159 35% 4% 50 -1.8 .232/.281/.377 .145.306 1510 28% 5% 82 +0.5 .240/.290/.387.147.311141026%5%83+0.5
McCarthy Tatum
2023 · AA
27 36→25 45→55 48→50 35 .184/.240/.304 .120.279 139 38% 5% 46 -2.0 .211/.271/.326 .115.298 1010 31% 5% 66 -0.6 .215/.285/.308.094.2976928%4%64-0.2
Mike Ahmed
2019 · AAA
27 42→46 46→50 44→50 40 .209/.273/.338 .129.311 157 36% 7% 69 -0.4 .207/.261/.318 .111.332 1110 38% 6% 58 -1.2 .189/.240/.302.113.308111140%5%42-0.9
Dustin Geiger
2019 · AA
27 38→47 45→50 47→40 39 .195/.256/.315 .120.286 136 35% 6% 56 -1.3 .205/.270/.325 .120.330 127 38% 7% 65 -0.7 .168/.241/.293.125.28613043%7%41-0.5
Rogelio Noris
2017 · AAA
27 39→29 45 47→45 34 .203/.240/.313 .111.270 147 30% 3% 48 -1.9 .220/.255/.346 .126.276 168 26% 3% 63 -0.8 .226/.256/.353.127.26818423%3%63-0.4
Kevin Keyes
2016 · AAA
27 39→42 46→50 40→45 38 .204/.253/.325 .121.279 164 32% 6% 57 -1.2 .198/.259/.312 .114.287 134 34% 7% 56 -1.3 .157/.231/.264.107.23812137%8%31-1.9
Brock Kjeldgaard
2013 · AA
27 40→43 50 46→45 36 .198/.266/.349 .150.316 187 41% 7% 69 -0.4 .192/.271/.343 .151.290 205 38% 8% 70 -0.3 .169/.253/.323.154.23823038%8%56-1.2
Daniel Amaral
2023 · AA
26 41 47→40 48→55 41 .209/.268/.341 .133.288 1514 32% 7% 68 -0.5 .231/.302/.338 .107.302 928 25% 8% 81 +0.4 .241/.322/.332.091.31264822%9%85+0.3
Aaron Schunk
2023 · AA
26 40→43 44→45 48→50 36 .203/.250/.319 .116.288 129 33% 5% 53 -1.5 .216/.261/.332 .116.297 1110 30% 5% 62 -0.9 .216/.262/.331.115.289111028%5%58-0.8
Davis Wendzel
2023 · AAA
26 35→28 49→50 43→40 41 .191/.255/.331 .140.253 185 32% 7% 60 -1.0 .195/.273/.341 .146.245 195 28% 8% 71 -0.3 .191/.275/.335.144.22919426%8%68-0.4
Kody Kirkland
2009 · AAA
26 36→41 48→50 47→45 36 .189/.250/.329 .140.276 159 36% 6% 57 -1.2 .199/.257/.313 .114.279 1010 31% 6% 56 -1.3 .172/.226/.260.088.2366729%5%25-1.9