Mario GomezC Lansing Lugnuts
Age 23 L/R 5'10" / 202 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035 peak 1.9 · 2030
wRC+†88
AVG/OBP/SLG.226 / .302 / .360
PA170
HR4
K%25
BB%8
MLB%0%
BAT: -2.4 runs (wOBA-derived runs vs avg)-2BATRUN: +0.0 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.0 runs (Defensive runs vs avg)+0FLDPOS: +3.0 runs (Positional adjustment)+3POSREP: +4.8 runs (Replacement-level credit)+5REPTotal WAR: +0.60+0.6WAR
Scouting · nowfuture
HIT
4550
PWR
3944
SPD
4247
EYE
5358
trajectory · 10 yrs
1.9peak
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
2030Pre-Arb$0.9M+1.9$17M+$16M
2031Pre-Arb$0.9M+1.9$18M+$17M
2032Pre-Arb$0.9M+1.7$16M+$15M
2033Arb-1$3M+1.5$15M+$12M
2034Arb-2$4M+1.2$12M+$8M
2035Arb-3$4M+0.9$5M+$0.7M
Totals $14M $83M +$69M

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
202118 ROKDSL Athletics 9183 17400 8290 11 .205.275.253.528 .048.315 329 .243 44 -6 -0 +0 +2 +3 -0.2
202320 ROKACL Athletics 159137 26704 17482 31 .190.288.328.617 .139.250 3011 .274 68 -6 +0 +0 +3 +5 0.2
202421 A2 teams 186160 32312 20502 00 .200.297.269.565 .069.270 2711 .260 58 -9 +0 +0 +3 +5 -0.0
202522 A+4 teams 144132 23323 7334 02 .174.238.295.533 .121.206 235 .231 35 -11 -1 +0 +3 +4 -0.5
▸ 2026 Season
202623 MLBOAK 170151 34614 14433 31 .225.304.358.661 .132.288 258 .300 88 -2 +0 +0 +3 +5 0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
202724 MLB 10%OAK 282252 591127 24694 51 .234.311.377.688 .143.289 249 .306 93 -2 +1 +0 +5 +8 1.2
202825 MLB 25%OAK 349310 721329 31855 61 .232.312.374.686 .142.290 249 .311 96 -2 +1 +0 +6 +10 1.6
202926 MLB 43%OAK 392348 8215211 35956 72 .236.316.385.701 .149.291 249 .313 98 -1 +1 +0 +7 +11 1.8
203027 MLB 58%OAK 410364 8616311 37996 72 .236.317.387.704 .151.291 249 .314 98 -1 +1 +0 +7 +12 1.9
203128 MLB 68%OAK 418371 8716311 381026 71 .235.316.383.698 .148.290 249 .312 97 -1 +1 -1 +7 +12 1.9
203229 MLB 77%OAK 416369 8516211 381036 61 .230.312.374.686 .144.289 259 .310 96 -2 +1 -1 +7 +12 1.7
203330 MLB 84%OAK 412365 8415211 381036 61 .230.313.373.686 .142.288 259 .307 93 -3 +1 -2 +7 +12 1.5
203431 MLB 91%OAK 388344 7814210 36995 50 .227.309.366.675 .140.287 269 .303 90 -4 +1 -3 +7 +11 1.2
203532 MLBOAK 360319 721329 33935 40 .226.308.364.672 .138.285 269 .299 87 -5 +1 -4 +6 +10 0.9
203633 MLBOAK 322286 621127 29864 40 .217.298.343.640 .126.284 279 .293 83 -6 +1 -4 +6 +9 0.5
203734 MLBOAK 274243 52916 25754 30 .214.298.333.631 .119.282 279 .287 78 -7 +1 -5 +5 +8 0.1
203835 MLBOAK 219194 40714 20623 30 .206.290.314.605 .108.279 289 .279 72 -7 +1 -6 +4 +6 -0.2
203936 MLBOAK 166148 30513 15492 20 .203.285.311.596 .108.277 309 .270 65 -7 +0 -6 +3 +5 -0.5
▸ Career Totals (MLE all levels + projections)
Career 51584576 102118429123 465132373 7214 .223.305.357.661 .134.284 269 .298 86 -82 +9 -31 +92 +146 13.6
/ 162G 650577 12923416 591679 92 .224.306.360.666 .137.284 269 .298 86 -10 +1 -4 +12 +18 1.7

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
202118 ROKDSL Athletics 9178 24600 13200 11 .308.407.385.791 .077.414 2214 .363 136 +4 -0 +3 0.6
202320 ROKACL Athletics 159125 341105 28342 31 .272.410.480.890 .208.326 2118 .389 156 +10 +0 +5 1.5
202421 AStockton Ports 9480 19113 11181 00 .237.337.388.724 .150.262 1912 .321 104 +0 +0 +3 0.3
202421 ROKACL Athletics 9270 20300 19181 00 .286.444.329.773 .043.377 2021 .361 135 +4 +0 +3 0.6
202522 AAMidland RockHounds 1815 3110 152 00 .200.333.400.733 .200.300 286 .332 112 +0 +0 +1 0.1
202522 A+Lansing Lugnuts 5752 13312 481 00 .250.316.462.777 .212.262 147 .342 120 +1 +0 +2 0.3
202522 ROKACL Athletics 4640 9001 471 02 .225.311.300.611 .075.242 159 .279 72 -1 -1 +1 -0.1
202522 INTLCaneros de los Mochis 2322 5100 170 00 .227.261.273.534 .045.333 304 .244 45 -1 +0 +1 -0.1

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
Mario Gomez (OGILVIE) 23 45→50 39→44 42→47 58 .226/.302/.360 .134.288 43 25% 8% 88 +0.2
George Kottaras
2006 · AA
23 51→53 45→55 45→30 50 .249/.314/.377 .128.306 124 22% 9% 95 +1.4 .224/.291/.363 .139.290 143 26% 8% 82 +0.5 .223/.338/.408.185.27822126%14%105+0.7
Blake DeWitt
2009 · MLB
23 49→55 47→50 44→40 48 .246/.299/.378 .132.281 145 18% 7% 89 +1.0 .243/.306/.371 .128.278 104 16% 8% 91 +1.1 .241/.307/.368.127.2759315%8%84+0.4
Jason Castro
2010 · AA
23 50→57 44→55 45→30 48 .243/.302/.362 .119.292 115 20% 7% 87 +0.8 .233/.301/.335 .102.284 94 20% 9% 79 +0.3 .248/.322/.410.161.32116126%9%102+1.4
Hank Conger
2011 · MLB
23 50→55 46→50 42→45 48 .245/.298/.373 .128.283 133 19% 7% 88 +0.9 .233/.290/.367 .134.272 153 20% 7% 83 +0.6 .227/.300/.378.151.28017024%8%86+0.3
Matt Thaiss
2018 · AA
23 49→50 42→50 43→45 48 .236/.301/.342 .106.293 86 22% 8% 81 +0.4 .223/.285/.361 .138.277 145 24% 8% 80 +0.4 .217/.299/.369.151.27018426%10%85+0.5
Greg Garcia
2013 · AA
23 51→53 40 46→50 50 .240/.315/.339 .099.299 78 21% 8% 86 +0.8 .239/.313/.331 .092.309 612 23% 8% 84 +0.6 .241/.350/.334.093.3086321%13%99+0.8
Luis García Jr.
2023 · MLB
23 53→57 50 43→50 42 .267/.301/.427 .159.312 175 21% 5% 103 +1.9 .264/.301/.408 .144.298 1513 16% 5% 98 +1.6 .261/.301/.405.144.286161715%5%94+1.2
Bryson Stott
2022 · AAA
24 49→56 47→45 48→55 47 .240/.306/.374 .134.324 1410 29% 9% 92 +1.2 .247/.306/.374 .127.297 1320 20% 8% 92 +1.2 .255/.321/.377.122.291122916%8%94+1.3
Christian Vázquez
2014 · AA
23 48→54 44→50 42→45 47 .236/.295/.352 .116.286 125 22% 7% 81 +0.4 .242/.297/.329 .087.301 64 20% 7% 76 +0.0 .263/.314/.411.148.30118819%7%101+1.2
Shed Long Jr.
2019 · AA
23 47→48 47→50 51→50 43 .233/.294/.371 .138.315 1413 30% 7% 85 +0.7 .225/.285/.368 .143.305 1510 30% 7% 82 +0.5 .216/.276/.363.148.28516829%8%73-0.0
Luis Urías
2020 · MLB
23 49→59 45→55 47→45 49 .241/.318/.369 .128.300 126 23% 8% 95 +1.4 .239/.323/.393 .154.292 176 23% 9% 105 +2.1 .228/.330/.386.157.27019322%11%99+1.3
Reid Brignac
2009 · AAA
23 45→51 49→55 49→50 41 .230/.273/.380 .150.282 1610 25% 5% 79 +0.3 .232/.272/.350 .118.287 118 22% 5% 71 -0.3 .220/.284/.321.101.2839624%8%66-0.4
Carlos Asuaje
2015 · A
23 49→56 48→45 48→45 45 .241/.299/.399 .158.296 136 23% 6% 95 +1.4 .241/.297/.356 .115.295 97 20% 7% 82 +0.5 .242/.308/.341.098.2956419%8%79+0.3
Chance Sisco
2020 · MLB
25 45→55 49→50 41→40 43 .224/.308/.369 .145.304 173 30% 8% 92 +1.2 .211/.305/.361 .150.284 174 30% 9% 89 +1.0 .177/.284/.310.133.24314031%10%65-0.2
Patrick Mazeika
2018 · AA
24 52→51 41→50 44→30 50 .247/.324/.351 .104.295 83 19% 8% 94 +1.3 .223/.289/.347 .124.259 133 19% 7% 79 +0.3 .210/.272/.345.135.23316018%6%68-0.3
Juan Carlos Gamboa
2015 · AAA
24 48 42→45 44→50 46 .233/.289/.343 .110.286 910 22% 6% 76 +0.1 .246/.296/.354 .108.306 108 22% 6% 82 +0.5 .255/.314/.357.101.32811524%7%90+0.5
Tyler Stephenson
2020 · AA
23 46→54 42→50 46→30 46 .223/.293/.329 .106.288 103 25% 8% 76 +0.0 .247/.320/.374 .127.312 133 24% 8% 98 +1.6 .253/.327/.399.146.32316125%9%102+1.3
Brian Goodwin
2014 · AA
23 46→52 45→60 50 48 .226/.299/.357 .132.297 1215 27% 9% 85 +0.7 .214/.278/.326 .112.294 1013 29% 8% 67 -0.5 .243/.309/.437.195.311231128%8%105+1.3
Mark Payton
2015 · A
23 52→54 45→55 46→50 50 .250/.320/.383 .133.315 119 23% 9% 100 +1.7 .236/.292/.338 .102.299 89 23% 7% 76 +0.0 .242/.299/.411.169.277181020%7%95+1.1
Kirk Nieuwenhuis
2011 · AAA
23 48→50 48→55 48→50 40 .238/.289/.393 .155.323 1511 30% 6% 89 +1.0 .236/.295/.383 .147.329 1410 31% 7% 89 +1.0 .219/.301/.407.188.300201132%10%94+0.8