Anthony García

PosLF
B/TR/R
Born1992-01-04
Age (2027)35
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WAR
202331INTLIndios de May…225.250/.378/.44092133—
202432INTLPuerto Rico260.290/.414/.46986145—
202533INTLIndios de May…204.258/.398/.38032126—
Contract
No contract data on file.

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)
200917 ROKGCL Cardinals — 5751 12310 4102 21 235316333649 98293 187 298 31 — — — — — —
201018 ROKJohnson City Cardinals — 148119 34415 20186 20 286414462876 176293 1214 387 94 — — — — — —
201119 ROKJohnson City Cardinals — 216182 561446 213611 41 308411527939 220352 1710 410 93 — — — — — —
201220 AQuad Cities River Bandits — 444396 11134319 3410712 36 280355525880 245338 248 384 91 — — — — — —
201220 INTLGigantes de Carolina — 122104 29513 14253 11 279380433813 154338 2011 364 132 — — — — — —
201321 A+Palm Beach Cardinals — 386345 7516113 26959 62 217289383672 165257 257 297 43 — — — — — —
201321 INTLPuerto Rico — 151132 401105 12284 00 303378500878 197347 198 381 144 — — — — — —
201422 A+Palm Beach Cardinals — 391343 7820210 38649 34 227321385705 157252 1610 318 69 — — — — — —
201422 INTLPuerto Rico — 178151 4810110 22274 10 3184185961.014 278330 1512 438 183 — — — — — —
201523 AAAMemphis Redbirds — 6458 16412 6110 01 276344483827 207311 179 363 72 — — — — — —
201523 AASpringfield Cardinals — 346288 8222011 455411 62 285401476877 191317 1613 390 99 — — — — — —
201523 INTLGigantes de Carolina — 146130 29414 10273 00 223294362655 138245 187 290 82 — — — — — —
201624 AAAMemphis Redbirds — 247218 501208 20443 11 229303394697 165244 188 305 62 — — — — — —
201624 AASpringfield Cardinals — 137122 31603 11243 22 254331377708 123295 188 319 62 — — — — — —
201624 INTLGigantes de Carolina — 158143 401001 11202 40 280340371710 91317 137 318 102 — — — — — —
201725 AAAMemphis Redbirds — 4339 7101 361 11 179256282538 103188 147 249 25 — — — — — —
201725 AASpringfield Cardinals — 398347 10218215 40725 82 294375487862 193328 1810 376 85 — — — — — —
201725 INTLPuerto Rico — 184159 491009 23311 32 308399541940 233333 1712 410 164 — — — — — —
201826 AAANashville Sounds — 566480 12231125 6510715 13 254361479840 225274 1911 369 91 — — — — — —
201826 INTLGigantes de Carolina — 201169 391111 22266 22 231340325666 95260 1311 304 92 — — — — — —
201927 AAASacramento River Cats — 213183 52806 25462 12 284376426802 142343 2212 357 74 — — — — — —
201927 INTLGigantes de Carolina — 10476 20103 26171 13 263456395851 132298 1625 393 152 — — — — — —
202129 INTLGigantes de Carolina — 10991 19213 13202 42 209321352672 143225 1812 300 89 — — — — — —
202230 INTLPuerto Rico — 10581 12301 20304 11 148343222565 74220 2919 286 80 — — — — — —
202331 INTLIndios de Mayaguez — 225184 46809 31417 20 250378440819 190270 1814 365 133 — — — — — —
202432 INTLPuerto Rico — 260207 601308 36538 64 290414469883 179338 2014 383 145 — — — — — —
202533 INTLIndios de Mayaguez — 204163 42913 31297 22 258398380778 123293 1415 355 126 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
200917 ROK MLEGCL Cardinals — 5752 9210 3142 21 173246250496 77239 255 214 31 — — — — — —
201018 ROK MLEJohnson City Cardinals — 148126 29314 13266 20 230331365696 135242 189 307 94 — — — — — —
201119 ROK MLEJohnson City Cardinals — 216190 451035 135111 41 237322400722 163283 246 306 93 — — — — — —
201220 A MLEQuad Cities River Bandits — 444410 9329216 2014012 36 227283424707 198296 325 303 91 — — — — — —
201321 A+ MLEPalm Beach Cardinals — 386351 6013111 201399 62 171234308542 137227 365 232 43 — — — — — —
201422 A+ MLEPalm Beach Cardinals — 391352 6719210 29919 34 190269341610 151225 237 270 69 — — — — — —
201523 AAA MLEMemphis Redbirds — 6460 12311 4150 01 200250333583 133266 236 275 72 — — — — — —
201523 AA MLESpringfield Cardinals — 346301 721808 326711 62 239334379713 140279 199 314 99 — — — — — —
201624 AAA MLEMemphis Redbirds — 247224 441007 14583 11 196253335588 138217 236 260 62 — — — — — —
201624 AA MLESpringfield Cardinals — 137125 27502 8293 22 216279304583 88265 216 260 62 — — — — — —
201725 AAA MLEMemphis Redbirds — 4340 7101 281 11 175233275508 100170 195 205 25 — — — — — —
201725 AA MLESpringfield Cardinals — 398362 881529 25895 82 243301370671 127285 226 294 85 — — — — — —
201826 AAA MLENashville Sounds — 566498 10526120 4713115 13 211298388686 177238 238 303 91 — — — — — —
201927 AAA MLESacramento River Cats — 213191 42604 17612 12 220290314605 94291 298 278 74 — — — — — —
200917 ROK MLEGCL Cardinals — 5752 9210 3142 21 173246250496 77237 255 214 31 — — — — — —
200917 ROK RAWGCL Cardinals — 5751 12310 4102 21 235316333649 98293 187 298 31 — — — — — —
201018 ROK MLEJohnson City Cardinals — 148126 29314 13266 20 230331365696 135253 189 307 94 — — — — — —
201018 ROK RAWJohnson City Cardinals — 148119 34415 20186 20 286414462876 176293 1214 387 94 — — — — — —
201119 ROK MLEJohnson City Cardinals — 216190 451035 135111 41 237322400722 163294 246 306 93 — — — — — —
201119 ROK RAWJohnson City Cardinals — 216182 561446 213611 41 308411527939 220352 1710 410 93 — — — — — —
201220 A MLE2 teams — 566523 11937321 2517915 47 228282430713 203301 324 303 91 — — — — — —
201220 A RAW2 teams — 566500 14039422 4813215 47 280361506867 226338 238 379 91 — — — — — —
201321 A+ MLE2 teams — 537488 8218115 2719313 62 168231301532 133234 365 232 43 — — — — — —
201321 A+ RAW2 teams — 537477 11527118 3812313 62 241314415729 174284 237 321 43 — — — — — —
201422 A+ MLE2 teams — 569512 9828215 4213313 44 191270342612 150227 237 270 69 — — — — — —
201422 A+ RAW2 teams — 569494 12630320 609113 44 255351449800 194275 1611 356 69 — — — — — —
201523 AA MLE3 teams — 556487 11529113 5011114 63 236325380705 144278 209 308 95 — — — — — —
201523 AA RAW3 teams — 556476 12730217 619214 63 267367445812 179296 1711 361 95 — — — — — —
201624 AAA MLE3 teams — 542494 10121013 311228 73 204263326589 121240 236 260 62 — — — — — —
201624 AAA RAW3 teams — 542483 12128012 42888 73 251321383704 133279 168 313 62 — — — — — —
201725 AA MLE3 teams — 625573 13222214 381377 125 230286349635 119276 226 285 79 — — — — — —
201725 AA RAW3 teams — 625545 15829225 661097 125 290374488862 198319 1711 378 79 — — — — — —
201826 AAA MLE2 teams — 767672 14336127 6417721 35 213301390691 177243 238 303 91 — — — — — —
201826 AAA RAW2 teams — 767649 16142226 8713321 35 248355439794 191270 1711 352 91 — — — — — —
201927 AAA MLE2 teams — 317285 64907 25913 25 225294330624 105298 298 278 74 — — — — — —
201927 AAA RAW2 teams — 317259 72909 51633 25 278403417820 139330 2016 369 74 — — — — — —
202129 INTL MLEGigantes de Carolina — 10991 19213 13202 42 209321352672 143225 1812 — — — — — — — —
202129 INTL RAWGigantes de Carolina — 10991 19213 13202 42 209321352672 143225 1812 300 89 — — — — — —
202230 INTL MLEPuerto Rico — 10581 12301 20304 11 148343222565 74220 2919 — — — — — — — —
202230 INTL RAWPuerto Rico — 10581 12301 20304 11 148343222565 74220 2919 286 80 — — — — — —
202331 INTL MLEIndios de Mayaguez — 225184 46809 31417 20 250378440819 190270 1814 — — — — — — — —
202331 INTL RAWIndios de Mayaguez — 225184 46809 31417 20 250378440819 190270 1814 365 133 — — — — — —
202432 INTL MLEPuerto Rico — 260207 601308 36538 64 290414469883 179338 2014 — — — — — — — —
202432 INTL RAWPuerto Rico — 260207 601308 36538 64 290414469883 179338 2014 383 145 — — — — — —
202533 INTL MLEIndios de Mayaguez — 204163 42913 31297 22 258398380778 123293 1415 — — — — — — — —
202533 INTL RAWIndios de Mayaguez — 204163 42913 31297 22 258398380778 123293 1415 355 126 — — — — — —
200917 ROK MLEGCL Cardinals — 5752 9210 3142 21 173246250496 77239 255 214 31 — — — — — —
201018 ROK MLEJohnson City Cardinals — 148128 29314 13266 20 227331359690 133242 189 307 94 — — — — — —
201119 ROK MLEJohnson City Cardinals — 216190 451035 135111 41 237322400722 163283 246 306 93 — — — — — —
201220 A MLE2 teams — 566521 11937321 2517915 47 228282432714 203296 324 303 91 — — — — — —
201321 A+ MLE2 teams — 537492 8218115 2719313 62 167231299530 132227 365 232 43 — — — — — —
201422 A+ MLE2 teams — 569509 9828215 4213313 44 193270344614 151225 237 270 69 — — — — — —
201523 AA MLE3 teams — 556487 11529113 5011114 63 236325380705 144277 209 308 95 — — — — — —
201624 AAA MLE3 teams — 542498 10121013 311228 73 203263323586 120234 236 260 62 — — — — — —
201725 AA MLE3 teams — 625575 13222214 381377 125 230286348634 118274 226 285 79 — — — — — —
201826 AAA MLE2 teams — 767676 14336127 6417721 35 212301388689 176238 238 303 91 — — — — — —
201927 AAA MLE2 teams — 317286 64907 25913 25 224294329623 105291 298 278 74 — — — — — —
▸ Career Totals
Career— MLE — 58035128 111625017158 4621407141 6745 218300365665 148264 248 239 48 -362 -5 +0 -62 +126 -30.9
/ 162G— MLE — 650574 12528218 5215816 85 218301368668 150264 248 239 48 -41 -0 +0 -7 +14 -3.4

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.

2019 AAASacramento River Cats · 213 PAwOBA .350 → .278 (−71)K% 21.6% → 28.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.60%÷0.971×1.290——28.68%
BB% (unintentional) /PA10.80%÷0.980×0.710—×1.0037.84%
HBP% /PA0.94%—×0.980—×1.0030.92%
Singles /BIP27.74%÷0.982×0.900×0.950×1.00324.22%
Doubles /BIP5.84%÷0.981×0.810×0.950×1.0034.60%
Triples /BIP0.00%÷1.008×0.810×0.950×1.0030.00%
Home runs /BIP4.38%÷1.027×0.780—×1.0033.34%

Factors used: league row PCL. Park (home-season share, regressed): HR 105, 1B 96, 2B 96, 3B 102, K 94, BB 96 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .350 → .278; ISO .142 → .106; BABIP .343 → .291. 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).

2018 AAANashville Sounds · 566 PAwOBA .362 → .303 (−59)K% 18.9% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.90%÷1.055×1.290——23.11%
BB% (unintentional) /PA11.13%÷0.966×0.710—×1.0188.33%
HBP% /PA2.65%—×0.980—×1.0182.64%
Singles /BIP17.43%÷0.986×0.900×0.966×1.01815.64%
Doubles /BIP8.31%÷0.937×0.810×0.966×1.0187.07%
Triples /BIP0.27%÷1.150×0.810×0.966×1.0180.19%
Home runs /BIP6.70%÷0.988×0.780—×1.0185.39%

Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .362 → .303; ISO .225 → .183; BABIP .274 → .238. 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).

2017 AASpringfield Cardinals · 398 PAwOBA .368 → .294 (−75)K% 18.1% → 22.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.09%÷0.990×1.220——22.29%
BB% (unintentional) /PA9.30%÷1.048×0.700—×0.9986.20%
HBP% /PA1.26%—×0.870—×0.9981.09%
Singles /BIP24.36%÷0.992×0.920×0.981×0.99822.12%
Doubles /BIP6.55%÷1.009×0.840×0.981×0.9985.34%
Triples /BIP0.73%÷1.093×0.940×0.981×0.9980.61%
Home runs /BIP5.45%÷1.315×0.800—×0.9983.31%

Factors used: league row TL. Park (home-season share, regressed): HR 163, 1B 98, 2B 102, 3B 119, K 98, BB 110 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.

Result: wOBA .368 → .294; ISO .193 → .133; BABIP .328 → .285. 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).

2017 AAAMemphis Redbirds · 43 PAwOBA .243 → .205 (−38)K% 14.0% → 17.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA13.95%÷1.010×1.290——17.83%
BB% (unintentional) /PA6.98%÷0.997×0.710—×1.0335.13%
HBP% /PA2.33%—×0.980—×1.0332.35%
Singles /BIP15.15%÷1.001×0.900—×1.03314.07%
Doubles /BIP3.03%÷1.021×0.810—×1.0332.48%
Triples /BIP0.00%÷1.135×0.810—×1.0330.00%
Home runs /BIP3.03%÷0.980×0.780—×1.0332.49%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 100, 2B 104, 3B 127, K 102, BB 99 — 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).

Result: wOBA .243 → .205; ISO .103 → .082; BABIP .188 → .170. 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).

2016 AAAMemphis Redbirds · 247 PAwOBA .303 → .260 (−42)K% 17.8% → 23.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.81%÷0.988×1.290——23.25%
BB% (unintentional) /PA7.69%÷0.983×0.710—×1.0485.82%
HBP% /PA1.21%—×0.980—×1.0481.25%
Singles /BIP17.24%÷0.989×0.900×0.952×1.04815.64%
Doubles /BIP6.90%÷0.941×0.810×0.952×1.0485.92%
Triples /BIP0.00%÷0.951×0.810×0.952×1.0480.00%
Home runs /BIP4.60%÷0.931×0.780—×1.0484.04%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 98, 2B 88, 3B 90, K 98, BB 97 — 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 ×0.952.

Result: wOBA .303 → .260; ISO .165 → .142; BABIP .244 → .217. 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).

2016 AASpringfield Cardinals · 137 PAwOBA .311 → .260 (−51)K% 17.5% → 21.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.52%÷1.019×1.220——20.96%
BB% (unintentional) /PA8.03%÷0.999×0.700—×1.0125.69%
HBP% /PA2.19%—×0.870—×1.0121.93%
Singles /BIP22.45%÷0.966×0.920×0.963×1.01220.84%
Doubles /BIP6.12%÷0.986×0.840×0.963×1.0125.08%
Triples /BIP0.00%÷0.900×0.940×0.963×1.0120.00%
Home runs /BIP3.06%÷1.155×0.800—×1.0122.15%

Factors used: league row TL. Park (home-season share, regressed): HR 131, 1B 93, 2B 97, 3B 80, K 104, BB 100 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.

Result: wOBA .311 → .260; ISO .123 → .092; BABIP .295 → .265. 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).

2015 AASpringfield Cardinals · 346 PAwOBA .381 → .314 (−67)K% 15.6% → 19.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.61%÷0.978×1.220——19.48%
BB% (unintentional) /PA13.01%÷1.000×0.700—×1.0279.35%
HBP% /PA3.18%—×0.870—×1.0272.84%
Singles /BIP20.94%÷0.982×0.920×0.959×1.02719.32%
Doubles /BIP9.40%÷1.003×0.840×0.959×1.0277.75%
Triples /BIP0.00%÷1.003×0.940×0.959×1.0270.00%
Home runs /BIP4.70%÷1.140×0.800—×1.0273.39%

Factors used: league row TL. Park (home-season share, regressed): HR 128, 1B 96, 2B 101, 3B 101, K 96, BB 100 — 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 ×0.959.

Result: wOBA .381 → .314; ISO .191 → .147; BABIP .317 → .279. 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).

2015 AAAMemphis Redbirds · 64 PAwOBA .353 → .275 (−78)K% 17.2% → 22.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.19%÷0.967×1.290——22.92%
BB% (unintentional) /PA9.38%÷1.013×0.710—×1.0506.90%
HBP% /PA0.00%—×0.980—×1.0500.00%
Singles /BIP19.15%÷1.030×0.900×0.950×1.05016.69%
Doubles /BIP8.51%÷0.946×0.810×0.950×1.0507.27%
Triples /BIP2.13%÷0.900×0.810×0.950×1.0501.91%
Home runs /BIP4.26%÷1.224×0.780—×1.0502.85%

Factors used: league row PCL. Park (home-season share, regressed): HR 145, 1B 106, 2B 89, 3B 80, K 93, BB 103 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .353 → .275; ISO .207 → .152; BABIP .311 → .266. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .