Casey Schmitt

1B San Francisco Giants
Age 28 R/R 6'0" / 215 lbs MLB HR -15%H -3% Svc 3.203 · Ctrl thru 2029 ILInjured 60-Day (D60)
Overview
MLBIL-6040-MANArb-1FA 2030
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202425AAASF335.274/.352/.469131192—.245/.303/.394
202425MLBSF113.252/.286/.477601170.5
202526MLBSF348.237/.308/.4011201020.7
202627MLBSF409.271/.304/.4832191231.4
2027PROJ28MLBSF155.262/.307/.451731170.4
2028PROJ92% MLB29MLBSF281.260/.304/.4451241140.6
2029PROJ92% MLB30MLBSF274.256/.300/.4371131110.4
Last 3 seasons WAR 2.6  ·  Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.
ContractESTIMATED
Control thru2029Service3.203First FA2030
2027Arb-1$2M2028Arb-2$3M2029Arb-3$3M
Skills · percentileStatcast 2024-2026
xwOBA76
Barrel%65
Speed63
Avg EV58
Bat Spd52
CompsAdam Jones (age 28) · Jake Fox (age 28) · Tyrone Taylor (age 28)
2027 FULL-SEASON PROJECTIONstats below = full-season projection
showingPROJ
wRC+†vL 118117vR 112
AVG/OBP/SLG.262 / .307 / .451
PA155
HR7
K%21
BB%5
BABIP293
ISO186
MLB%100%
Value2027 · WAR
BAT: +3.1 runs (wOBA-derived runs vs avg)+3BATRUN: +0.3 runs (SB/CS + UBR baserunning)+0RUNFLD: +0.4 runs (Defensive runs vs avg)+0FLDPOS: -2.8 runs (Positional adjustment)-3POSREP: +3.4 runs (Replacement-level credit)+3REPTotal WAR: +0.90+0.9WAR
0.00.51.00.90.60.427282930313233343536
━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$7M ctrl surplus
Tools · Splits · ContractCON 50 / POW 50
Toolsscout grade · Statcast %ile · 2024-2026
CONTACT50
xAVG
730.270
POWER50
Barrel%
6510.5
Avg EV
5889.6
Bat Spd
5271.6
EYE40
scouting grade only
SPEED50
Sprint
6328.0
Platoon Splits2024-2026 · 546 PA
vs LHP
vs RHP
Edge
PA
193
353
—
wRC+
109
103
◀L
wOBA
329
321
—
ISO
177
189
▶R
BABIP
305
281
◀L
K%
23.8%
22.7%
▶R
BB%
7.3%
5.4%
◀◀L
Contract ESTIMATED · service-time + WAR-based estimator (needs verification)
Status   Arb-1
MLB Debut   2023
Service   3.203 yrs.days
Team Control Through   2029
First FA Year   2030
YearStatusSalary Proj WAR Value Surplus
2027Arb-1$2M+0.9$4M+$2M
2028Arb-2$3M+0.6$2M+$0.0M (cut)
2029Arb-3$3M+0.4$1M+$0.0M (cut)
Totals $2M $7M +$2M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
Methodology▸ how these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
202122 ASan Jose Giants — 280251 621418 22445 22 247320406727 159269 168 323 52 — — — — — —
202223 AAASacramento River Cats — 1615 5101 050 00 333333600933 267400 310 380 122 — — — — — —
202223 AARichmond Flying Squirrels — 127120 411013 6291 20 342378517895 175432 235 394 109 — — — — — —
202223 A+Eugene Emeralds — 383333 9114117 42866 12 273365474839 201319 2211 371 78 — — — — — —
202324 MLBSan Francisco Giants — 277253 521505 13655 21 206258324582 119253 235 258 63 -12 +0 -1 +5 +6 -0.2
202324 AAASacramento River Cats — 217200 601314 14441 31 300349435784 135364 206 346 97 — — — — — —
202425 MLBSan Francisco Giants — 113107 27416 4251 00 252286477762 224273 224 330 117 +2 +0 -2 +2 +2 0.5
202425 AAASacramento River Cats — 335292 8016113 31704 112 274352469821 195309 219 355 92 — — — — — —
202526 MLBSan Francisco Giants — 348312 7415012 27835 00 237308401709 163282 248 314 102 +1 +0 -3 +1 +8 0.7
202526 AAASacramento River Cats — 1713 2000 420 00 154353154507 182 1224 271 32 — — — — — —
202627 MLBSan Francisco Giants — 409387 10517121 11817 91 271304483787 212291 203 342 123 +11 +1 -0 -7 +9 1.4
▸ Career Totals (raw MLB only — historical actual)
MLB Career— — 11471059 25851244 5525418 112 244292420713 177277 225 312 97 -4 +1 -5 +1 +25 1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
202122 A MLESan Jose Giants — 280260 521116 13625 22 200252319571 119230 225 245 52 — — — — — —
202223 AAA MLESacramento River Cats — 1615 5101 060 00 333333600933 267383 380 349 122 — — — — — —
202223 AA MLERichmond Flying Squirrels — 127122 36812 4361 20 295323426749 131404 283 329 109 — — — — — —
202223 A+ MLEEugene Emeralds — 383345 7411112 301136 12 214289357645 142277 308 284 78 — — — — — —
202324 MLB MLESan Francisco Giants — 277253 521505 13655 21 206258324582 119253 235 262 63 -12 +0 -1 +5 +6 -0.2
202324 AAA MLESacramento River Cats — 217204 581213 10491 31 284321397718 113354 235 312 97 — — — — — —
202425 MLB MLESan Francisco Giants — 113107 27416 4251 00 252286477762 224273 224 340 117 +2 +0 -2 +2 +2 0.5
202425 AAA MLESacramento River Cats — 335302 7413110 21784 112 245303394697 149280 236 304 92 — — — — — —
202526 MLB MLESan Francisco Giants — 348313 7615013 26835 00 243311415726 173282 247 319 102 +1 +0 -3 +1 +8 0.7
202526 AAA MLESacramento River Cats — 1714 2000 320 00 143294143437 167 1218 215 32 — — — — — —
202627 MLB MLESan Francisco Giants — 409388 10817123 10817 91 278309505814 227291 202 351 123 +11 +1 -0 -7 +9 1.4
202122 A MLESan Jose Giants — 280260 521116 13625 22 200252319571 119237 225 245 52 — — — — — —
202122 A RAWSan Jose Giants — 280251 621418 22445 22 247320406727 159269 168 323 52 — — — — — —
202223 A+ MLE3 teams — 526482 11520215 341557 32 239298382680 143317 296 297 87 — — — — — —
202223 A+ RAW3 teams — 526468 13725221 481207 32 293367489856 197352 239 377 87 — — — — — —
202324 MLB MLE2 teams — 494457 1112718 231146 52 243288359647 116303 235 284 78 -13 +0 -1 +5 +11 0.3
202324 MLB RAW2 teams — 494453 1122819 271096 52 247298373671 126303 225 297 78 -13 +0 -1 +5 +11 0.3
202425 AAA MLE2 teams — 448409 10217216 251035 112 249301418719 169288 236 313 98 — — — — — —
202425 AAA RAW2 teams — 448399 10720219 35955 112 268335471806 203299 218 349 98 — — — — — —
202526 MLB MLE2 teams — 365327 7815013 29855 00 239310404714 165280 238 315 99 -0 +0 -3 +1 +8 0.6
202526 MLB RAW2 teams — 365325 7615012 31855 00 234310391701 157277 238 312 99 -0 +0 -3 +1 +8 0.6
202627 MLB MLESan Francisco Giants — 409388 10817123 10817 91 278309505814 227295 202 351 123 +11 +1 -0 -7 +9 1.4
202627 MLB RAWSan Francisco Giants — 409387 10517121 11817 91 271304483787 212291 203 342 123 +11 +1 -0 -7 +9 1.4
202122 A MLESan Jose Giants — 280260 521116 13625 22 200252319571 119230 225 245 52 — — — — — —
202223 A+ MLE3 teams — 526480 11520215 341557 32 240298383682 144311 296 297 87 — — — — — —
202324 MLB MLE2 teams — 494462 1112718 231146 52 240288355643 115297 235 284 78 — — — — — —
202425 AAA MLE2 teams — 448415 10217216 251035 112 246301412713 166278 236 313 98 — — — — — —
202526 MLB MLE2 teams — 365328 7815013 29855 00 238310402713 165276 238 315 99 — — — — — —
202627 MLB MLESan Francisco Giants — 409389 10817123 10817 91 278309504812 226291 202 351 123 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202425 AAA MLE2 teams — 448415 10217216 251035 112 246301412713 166278 236 313 98 — — — — — —
202526 MLB MLE2 teams — 365328 7815013 29855 00 238310402713 165276 238 315 99 — — — — — —
202627 MLB MLESan Francisco Giants — 409389 10817123 10817 91 278309504812 226291 202 351 123 — — — — — —
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
202728 MLB MLESF 100% 372347 9215117 16786 72 268312468781 200298 214 341 117 +7 +1 +1 -7 +8 0.9
▸ 2027 — real world (MLB)
202728 MLB CTXSF 100% 155145 37607 7322 31 262307451758 189293 215 332 117 +3 +0 +0 -3 +3 0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
202829 MLB MLESF 92% 305284 7512114 13655 41 266309462771 196296 214 337 114 +5 +0 -1 -5 +7 0.6
202930 MLB MLESF 92% 298279 7312113 13644 31 262305453758 191294 214 332 111 +4 +0 -1 -5 +6 0.4
203031 MLB MLESF 92% 280262 6811112 12614 11 258300442742 185290 224 325 106 +2 -0 -2 -5 +6 0.1
203132 MLB MLESF 92% 258241 6110011 11584 10 251292428720 177285 224 316 100 +0 +0 -3 -5 +6 -0.2
203233 MLB MLESF 92% 227213 52809 9523 10 243283410693 167279 234 305 92 -2 +0 -4 -4 +5 -0.5
202829 MLB CTXSF 92% 281263 6912112 12604 41 260304445748 185292 214 328 114 +5 +0 -1 -5 +6 0.6
202930 MLB CTXSF 92% 274256 6611111 12594 31 256300437736 180289 224 323 111 +3 +0 -1 -5 +6 0.4
203031 MLB CTXSF 92% 258241 6010010 11574 11 252294426720 174286 224 316 106 +2 -0 -2 -5 +6 0.1
203132 MLB CTXSF 92% 237222 54909 10533 10 246287412699 167281 224 308 100 +0 +0 -3 -4 +5 -0.1
203233 MLB CTXSF 92% 209196 47708 8483 00 238278395673 157274 234 297 92 -2 +0 -3 -4 +5 -0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career— A+C — 24062237 554100494 10853136 205 248293422715 174283 224 314 97 +4 +2 -15 -22 +52 2.2
/ 162G— A+C — 650604 14927125 2914310 51 247292419711 172282 224 314 97 +1 +1 -4 -6 +14 0.6
Career— MLE — 40453747 93316610147 19993257 4313 249297416713 167291 235 311 97 +8 +2 -15 -26 +58 2.7
/ 162G— MLE — 650602 15127224 321509 72 251298422720 171293 235 311 97 +2 +1 -4 -6 +14 0.7

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2025 AAASacramento River Cats · 17 PAwOBA .266 → .215 (−51)K% 11.8% → 14.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA11.76%÷1.010×1.200——13.97%
BB% (unintentional) /PA23.53%÷1.011×0.690—×1.01816.35%
HBP% /PA0.00%—×0.940—×1.0180.00%
Singles /BIP18.18%÷1.030×0.930—×1.01816.71%
Doubles /BIP0.00%÷0.959×0.830—×1.0180.00%
Triples /BIP0.00%÷0.900×0.970—×1.0180.00%
Home runs /BIP0.00%÷0.938×0.700—×1.0180.00%

Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 106, 2B 92, 3B 80, K 102, BB 102 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average).

Result: wOBA .266 → .215; ISO .000 → .000; BABIP .182 → .167. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AAASacramento River Cats · 335 PAwOBA .353 → .304 (−49)K% 20.9% → 23.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.90%÷1.081×1.200——23.19%
BB% (unintentional) /PA8.96%÷1.032×0.690—×1.0336.19%
HBP% /PA1.19%—×0.940—×1.0331.16%
Singles /BIP22.52%÷0.976×0.930×0.976×1.03321.63%
Doubles /BIP7.21%÷1.052×0.830×0.976×1.0335.73%
Triples /BIP0.45%÷1.091×0.970×0.976×1.0330.40%
Home runs /BIP5.86%÷1.010×0.700—×1.0334.19%

Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 95, 2B 110, 3B 118, K 116, BB 106 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .353 → .304; ISO .195 → .152; BABIP .309 → .280. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAASacramento River Cats · 217 PAwOBA .340 → .312 (−28)K% 20.3% → 22.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.28%÷1.087×1.200——22.39%
BB% (unintentional) /PA6.45%÷0.981×0.690—×1.0484.76%
HBP% /PA0.46%—×0.940—×1.0480.45%
Singles /BIP26.92%÷0.992×0.930×1.022×1.04827.01%
Doubles /BIP8.33%÷0.992×0.830×1.022×1.0487.46%
Triples /BIP0.64%÷0.956×0.970×1.022×1.0480.70%
Home runs /BIP2.56%÷1.057×0.700—×1.0481.78%

Factors used: league row International League. Park (home-season share, regressed): HR 111, 1B 98, 2B 98, 3B 91, K 117, BB 96 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .340 → .312; ISO .135 → .112; BABIP .364 → .354. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 A+Eugene Emeralds · 383 PAwOBA .362 → .284 (−78)K% 22.5% → 29.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.45%÷1.029×1.350——29.45%
BB% (unintentional) /PA10.70%÷0.978×0.710—×0.9987.76%
HBP% /PA1.57%—×0.810—×0.9981.27%
Singles /BIP23.89%÷0.989×0.910×0.976×0.99821.41%
Doubles /BIP5.67%÷0.953×0.830×0.976×0.9984.81%
Triples /BIP0.40%÷0.930×0.820×0.976×0.9980.35%
Home runs /BIP6.88%÷1.120×0.830—×0.9985.09%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 98, 2B 91, 3B 86, K 106, BB 96 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .362 → .284; ISO .201 → .147; BABIP .319 → .277. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AARichmond Flying Squirrels · 127 PAwOBA .383 → .329 (−54)K% 22.8% → 28.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA22.83%÷0.984×1.220——28.30%
BB% (unintentional) /PA4.72%÷1.018×0.700—×1.0273.34%
HBP% /PA0.79%—×0.850—×1.0270.69%
Singles /BIP29.67%÷0.991×0.970×0.967×1.02728.83%
Doubles /BIP10.99%÷1.011×0.860×0.967×1.0279.28%
Triples /BIP1.10%÷0.900×0.950×0.967×1.0271.15%
Home runs /BIP3.30%÷0.929×0.780—×1.0272.84%

Factors used: league row EL. Park (home-season share, regressed): HR 86, 1B 98, 2B 102, 3B 80, K 97, BB 104 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.967.

Result: wOBA .383 → .329; ISO .175 → .144; BABIP .432 → .404. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAASacramento River Cats · 16 PAwOBA .393 → .349 (−44)K% 31.2% → 38.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA31.25%÷0.986×1.200——38.02%
BB% (unintentional) /PA0.00%÷0.984×0.690—×1.0500.00%
HBP% /PA0.00%—×0.940—×1.0500.00%
Singles /BIP30.00%÷0.968×0.930—×1.05030.25%
Doubles /BIP10.00%÷0.967×0.830—×1.0509.01%
Triples /BIP0.00%÷0.900×0.970—×1.0500.00%
Home runs /BIP10.00%÷0.989×0.700—×1.0507.43%

Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 94, 2B 93, 3B 80, K 97, BB 97 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).

Result: wOBA .393 → .349; ISO .267 → .207; BABIP .400 → .383. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2021 ASan Jose Giants · 280 PAwOBA .317 → .245 (−72)K% 15.7% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.71%÷0.959×1.360——22.27%
BB% (unintentional) /PA7.86%÷1.203×0.690——4.51%
HBP% /PA1.79%—×0.780——1.39%
Singles /BIP18.84%÷0.977×0.920×0.950—16.86%
Doubles /BIP6.76%÷1.014×0.830×0.950—5.26%
Triples /BIP0.48%÷1.098×0.910×0.950—0.38%
Home runs /BIP3.86%÷1.008×0.800——3.07%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 102, 1B 95, 2B 103, 3B 120, K 92, BB 141 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .317 → .245; ISO .159 → .122; BABIP .269 → .230. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).