Leury García
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 32 | INTLDominican Rep… | 115 | .317/.384/.406 | 0 | 8 | 121 | — | |
| 2024 | 33 | AAA/INTL2 orgs | 276 | .290/.348/.423 | 4 | 14 | 98 | — | .282/.333/.398 |
| 2025 | 34 | INTLGigantes del … | 116 | .216/.304/.284 | 1 | 5 | 71 | — |
Career Stats + Projections
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.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2008 | 17 | ROK | AZL Rangers | — | 144 | 129 | 27 | 3 | 3 | 0 | 8 | 40 | 0 | 12 | 3 | 209 | 255 | 279 | 535 | 70 | 293 | 28 | 6 | 231 | 2 | — | — | — | — | — | — |
| 2009 | 18 | A | Hickory Crawdads | — | 308 | 276 | 64 | 6 | 3 | 1 | 18 | 64 | 4 | 19 | 6 | 232 | 289 | 286 | 575 | 54 | 297 | 21 | 6 | 256 | 42 | — | — | — | — | — | — |
| 2010 | 19 | A | Hickory Crawdads | — | 392 | 359 | 94 | 5 | 4 | 3 | 23 | 57 | 1 | 47 | 9 | 262 | 308 | 323 | 631 | 61 | 303 | 15 | 6 | 281 | 63 | — | — | — | — | — | — |
| 2010 | 19 | ROK | AZL Rangers | — | 22 | 18 | 9 | 2 | 0 | 0 | 4 | 4 | 0 | 4 | 2 | 500 | 591 | 611 | 1.202 | 111 | 643 | 18 | 18 | 532 | 147 | — | — | — | — | — | — |
| 2011 | 20 | A+ | Myrtle Beach Pelicans | — | 482 | 442 | 113 | 19 | 5 | 3 | 28 | 100 | 4 | 30 | 12 | 256 | 306 | 342 | 648 | 86 | 324 | 21 | 6 | 288 | 47 | — | — | — | — | — | — |
| 2011 | 20 | INTL | Gigantes del Cibao | — | 97 | 91 | 32 | 6 | 2 | 3 | 4 | 15 | 0 | 8 | 3 | 352 | 379 | 560 | 939 | 209 | 392 | 15 | 4 | 402 | 158 | — | — | — | — | — | — |
| 2012 | 21 | AA | Frisco RoughRiders | — | 416 | 377 | 110 | 12 | 11 | 2 | 22 | 79 | 5 | 31 | 7 | 292 | 339 | 398 | 737 | 106 | 361 | 19 | 5 | 320 | 92 | — | — | — | — | — | — |
| 2012 | 21 | INTL | Gigantes del Cibao | — | 158 | 144 | 41 | 5 | 1 | 2 | 8 | 34 | 3 | 9 | 2 | 285 | 335 | 375 | 710 | 90 | 361 | 22 | 5 | 315 | 100 | — | — | — | — | — | — |
| 2013 | 22 | MLB | Chicago White Sox | — | 111 | 101 | 20 | 1 | 1 | 0 | 7 | 34 | 0 | 7 | 2 | 198 | 250 | 228 | 478 | 30 | 294 | 31 | 6 | 217 | 33 | -9 | +1 | +0 | +2 | +2 | -0.4 |
| 2013 | 22 | AAA | Charlotte Knights | — | 240 | 223 | 59 | 9 | 4 | 4 | 15 | 61 | 1 | 15 | 4 | 265 | 314 | 395 | 708 | 130 | 348 | 25 | 6 | 315 | 78 | — | — | — | — | — | — |
| 2013 | 22 | INTL | Dominican Republic | — | 167 | 147 | 37 | 2 | 1 | 2 | 14 | 30 | 4 | 13 | 1 | 252 | 333 | 320 | 653 | 68 | 304 | 18 | 8 | 299 | 89 | — | — | — | — | — | — |
| 2014 | 23 | MLB | Chicago White Sox | — | 155 | 145 | 24 | 3 | 0 | 1 | 5 | 48 | 0 | 11 | 1 | 166 | 193 | 207 | 400 | 41 | 237 | 31 | 3 | 178 | 3 | -18 | +2 | -2 | +1 | +3 | -1.4 |
| 2014 | 23 | INTL | Dominican Republic | — | 122 | 102 | 38 | 6 | 1 | 0 | 17 | 14 | 0 | 9 | 3 | 373 | 462 | 451 | 913 | 78 | 427 | 11 | 14 | 404 | 159 | — | — | — | — | — | — |
| 2015 | 24 | MLB | Chicago White Sox | — | 15 | 14 | 3 | 0 | 0 | 0 | 1 | 7 | 0 | 1 | 0 | 214 | 267 | 214 | 481 | 429 | 47 | 7 | 228 | 40 | -1 | +0 | -0 | +2 | +0 | 0.1 | |
| 2015 | 24 | AAA | Charlotte Knights | — | 385 | 349 | 104 | 19 | 3 | 3 | 20 | 66 | 4 | 30 | 12 | 298 | 343 | 395 | 739 | 97 | 357 | 17 | 5 | 322 | 93 | — | — | — | — | — | — |
| 2015 | 24 | INTL | Dominican Republic | — | 138 | 127 | 36 | 5 | 1 | 3 | 10 | 28 | 0 | 6 | 1 | 283 | 336 | 409 | 745 | 126 | 344 | 20 | 7 | 331 | 110 | — | — | — | — | — | — |
| 2016 | 25 | MLB | Chicago White Sox | — | 50 | 48 | 11 | 1 | 1 | 1 | 1 | 13 | 1 | 2 | 1 | 229 | 260 | 354 | 614 | 125 | 294 | 26 | 2 | 273 | 70 | -2 | +0 | +0 | +2 | +1 | 0.2 |
| 2016 | 25 | AAA | Charlotte Knights | — | 342 | 310 | 97 | 9 | 4 | 6 | 24 | 64 | 3 | 18 | 8 | 313 | 368 | 426 | 794 | 113 | 378 | 19 | 7 | 351 | 107 | — | — | — | — | — | — |
| 2016 | 25 | INTL | Dominican Republic | — | 140 | 120 | 30 | 5 | 3 | 0 | 15 | 21 | 1 | 8 | 2 | 250 | 338 | 342 | 680 | 92 | 297 | 15 | 11 | 303 | 91 | — | — | — | — | — | — |
| 2017 | 26 | MLB | Chicago White Sox | — | 326 | 300 | 81 | 15 | 2 | 9 | 13 | 69 | 8 | 8 | 5 | 270 | 318 | 423 | 741 | 153 | 321 | 21 | 4 | 325 | 105 | +2 | -0 | +3 | +1 | +7 | 1.3 |
| 2017 | 26 | INTL | Gigantes del Cibao | — | 64 | 61 | 20 | 2 | 0 | 3 | 3 | 10 | 0 | 3 | 1 | 328 | 359 | 508 | 868 | 180 | 354 | 16 | 5 | 382 | 145 | — | — | — | — | — | — |
| 2018 | 27 | MLB | Chicago White Sox | — | 275 | 258 | 70 | 7 | 4 | 4 | 9 | 69 | 3 | 12 | 1 | 271 | 304 | 376 | 680 | 105 | 355 | 25 | 3 | 298 | 87 | -4 | +2 | +3 | -3 | +6 | 0.4 |
| 2018 | 27 | AAA | Charlotte Knights | — | 15 | 14 | 6 | 3 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 429 | 467 | 643 | 1.110 | 214 | 545 | 20 | 7 | 484 | 139 | — | — | — | — | — | — |
| 2019 | 28 | MLB | Chicago White Sox | — | 618 | 577 | 161 | 27 | 3 | 8 | 21 | 139 | 6 | 15 | 5 | 279 | 311 | 378 | 689 | 99 | 353 | 22 | 3 | 302 | 90 | -8 | +1 | +1 | +2 | +13 | 1.1 |
| 2020 | 29 | MLB | Chicago White Sox | — | 63 | 59 | 16 | 1 | 0 | 3 | 4 | 9 | 0 | 0 | 0 | 271 | 317 | 441 | 758 | 169 | 277 | 14 | 6 | 336 | 112 | +1 | +0 | +1 | +1 | +1 | 0.4 |
| 2021 | 30 | MLB | Chicago White Sox | — | 474 | 415 | 111 | 22 | 4 | 5 | 41 | 97 | 4 | 6 | 2 | 267 | 339 | 376 | 715 | 108 | 333 | 20 | 9 | 314 | 98 | -1 | +0 | -2 | +2 | +10 | 1.0 |
| 2022 | 31 | MLB | Chicago White Sox | — | 315 | 300 | 63 | 8 | 0 | 3 | 7 | 65 | 3 | 2 | 0 | 210 | 235 | 267 | 502 | 57 | 255 | 21 | 2 | 224 | 38 | -23 | +0 | +1 | +1 | +7 | -1.5 |
| 2023 | 32 | INTL | Dominican Republic | — | 115 | 101 | 32 | 5 | 2 | 0 | 10 | 19 | 1 | 8 | 1 | 317 | 384 | 406 | 790 | 89 | 386 | 17 | 9 | 348 | 121 | — | — | — | — | — | — |
| 2024 | 33 | AAA | Gwinnett Stripers | — | 116 | 100 | 32 | 6 | 2 | 1 | 9 | 21 | 2 | 4 | 0 | 320 | 387 | 450 | 837 | 130 | 378 | 18 | 8 | 358 | 88 | — | — | — | — | — | — |
| 2024 | 33 | INTL | Gigantes del Cibao | — | 160 | 148 | 40 | 9 | 1 | 3 | 8 | 29 | 3 | 10 | 0 | 270 | 321 | 405 | 726 | 135 | 319 | 18 | 5 | 323 | 105 | — | — | — | — | — | — |
| 2025 | 34 | INTL | Gigantes del Cibao | — | 116 | 102 | 22 | 4 | 0 | 1 | 13 | 25 | 0 | 5 | 3 | 216 | 304 | 284 | 589 | 69 | 273 | 22 | 11 | 273 | 71 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 2402 | 2217 | 560 | 85 | 15 | 34 | 109 | 550 | 25 | 64 | 17 | 253 | 295 | 350 | 646 | 98 | 319 | 23 | 5 | 285 | 79 | -60 | +6 | +6 | +11 | +52 | 1.4 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2008 | 17 | ROK MLE | AZL Rangers | — | 144 | 132 | 21 | 2 | 2 | 0 | 5 | 58 | 0 | 12 | 3 | 159 | 190 | 205 | 394 | 45 | 248 | 40 | 3 | 171 | 2 | — | — | — | — | — | — |
| 2009 | 18 | A MLE | Hickory Crawdads | — | 308 | 281 | 62 | 5 | 3 | 1 | 13 | 86 | 4 | 19 | 6 | 221 | 265 | 270 | 536 | 50 | 297 | 28 | 4 | 230 | 42 | — | — | — | — | — | — |
| 2010 | 19 | A MLE | Hickory Crawdads | — | 392 | 367 | 96 | 5 | 4 | 2 | 15 | 79 | 1 | 47 | 9 | 262 | 292 | 313 | 606 | 52 | 315 | 20 | 4 | 262 | 63 | — | — | — | — | — | — |
| 2010 | 19 | ROK MLE | AZL Rangers | — | 22 | 19 | 7 | 1 | 0 | 0 | 3 | 6 | 0 | 4 | 2 | 368 | 455 | 421 | 876 | 53 | 517 | 27 | 14 | 386 | 147 | — | — | — | — | — | — |
| 2011 | 20 | A+ MLE | Myrtle Beach Pelicans | — | 482 | 453 | 102 | 15 | 5 | 2 | 17 | 143 | 4 | 30 | 12 | 225 | 259 | 294 | 553 | 68 | 313 | 30 | 4 | 237 | 47 | — | — | — | — | — | — |
| 2012 | 21 | AA MLE | Frisco RoughRiders | — | 416 | 385 | 112 | 11 | 11 | 1 | 14 | 98 | 5 | 31 | 7 | 291 | 324 | 384 | 709 | 94 | 368 | 24 | 3 | 304 | 92 | — | — | — | — | — | — |
| 2013 | 22 | MLB MLE | Chicago White Sox | — | 111 | 101 | 20 | 1 | 1 | 0 | 7 | 34 | 0 | 7 | 2 | 198 | 250 | 228 | 478 | 30 | 294 | 31 | 6 | 217 | 33 | -9 | +1 | +0 | +2 | +2 | -0.4 |
| 2013 | 22 | AAA MLE | Charlotte Knights | — | 240 | 226 | 56 | 8 | 4 | 3 | 12 | 72 | 1 | 15 | 4 | 248 | 289 | 358 | 647 | 111 | 347 | 30 | 5 | 284 | 78 | — | — | — | — | — | — |
| 2014 | 23 | MLB MLE | Chicago White Sox | — | 155 | 146 | 24 | 3 | 0 | 1 | 4 | 48 | 0 | 11 | 1 | 164 | 187 | 205 | 392 | 41 | 237 | 31 | 3 | 173 | 3 | -18 | +2 | -2 | +1 | +3 | -1.4 |
| 2015 | 24 | MLB MLE | Chicago White Sox | — | 15 | 14 | 3 | 0 | 0 | 0 | 1 | 7 | 0 | 1 | 0 | 214 | 267 | 214 | 481 | 429 | 47 | 7 | 228 | 40 | -1 | +0 | -0 | +2 | +0 | 0.1 | |
| 2015 | 24 | AAA MLE | Charlotte Knights | — | 385 | 355 | 106 | 18 | 3 | 2 | 14 | 82 | 4 | 30 | 12 | 299 | 332 | 383 | 716 | 85 | 363 | 21 | 4 | 305 | 93 | — | — | — | — | — | — |
| 2016 | 25 | MLB MLE | Chicago White Sox | — | 50 | 48 | 11 | 1 | 1 | 1 | 1 | 13 | 1 | 2 | 1 | 229 | 260 | 354 | 614 | 125 | 294 | 26 | 2 | 272 | 70 | -2 | +0 | +0 | +2 | +1 | 0.2 |
| 2016 | 25 | AAA MLE | Charlotte Knights | — | 342 | 319 | 97 | 8 | 5 | 6 | 15 | 73 | 3 | 18 | 8 | 304 | 341 | 417 | 758 | 113 | 369 | 21 | 4 | 326 | 107 | — | — | — | — | — | — |
| 2017 | 26 | MLB MLE | Chicago White Sox | — | 326 | 300 | 81 | 15 | 2 | 9 | 13 | 69 | 8 | 8 | 5 | 270 | 318 | 423 | 741 | 153 | 321 | 21 | 4 | 323 | 105 | +2 | -0 | +3 | +1 | +7 | 1.3 |
| 2018 | 27 | MLB MLE | Chicago White Sox | — | 275 | 258 | 70 | 7 | 4 | 4 | 9 | 69 | 3 | 12 | 1 | 271 | 304 | 376 | 680 | 105 | 355 | 25 | 3 | 297 | 87 | -4 | +2 | +3 | -3 | +6 | 0.4 |
| 2018 | 27 | AAA MLE | Charlotte Knights | — | 15 | 14 | 5 | 2 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 357 | 400 | 500 | 900 | 143 | 458 | 27 | 7 | 373 | 139 | — | — | — | — | — | — |
| 2019 | 28 | MLB MLE | Chicago White Sox | — | 618 | 577 | 161 | 27 | 3 | 8 | 21 | 139 | 6 | 15 | 5 | 279 | 311 | 378 | 689 | 99 | 353 | 22 | 3 | 301 | 90 | -8 | +1 | +1 | +2 | +13 | 1.1 |
| 2020 | 29 | MLB MLE | Chicago White Sox | — | 63 | 59 | 16 | 1 | 0 | 3 | 4 | 9 | 0 | 0 | 0 | 271 | 317 | 441 | 758 | 169 | 277 | 14 | 6 | 334 | 112 | +1 | +0 | +1 | +1 | +1 | 0.4 |
| 2021 | 30 | MLB MLE | Chicago White Sox | — | 474 | 415 | 111 | 22 | 4 | 5 | 41 | 97 | 4 | 6 | 2 | 267 | 339 | 376 | 715 | 108 | 333 | 20 | 9 | 313 | 98 | -1 | +0 | -2 | +2 | +10 | 1.0 |
| 2022 | 31 | MLB MLE | Chicago White Sox | — | 315 | 300 | 63 | 8 | 0 | 3 | 7 | 65 | 3 | 2 | 0 | 210 | 235 | 267 | 502 | 57 | 255 | 21 | 2 | 224 | 38 | -23 | +0 | +1 | +1 | +7 | -1.5 |
| 2024 | 33 | AAA MLE | Gwinnett Stripers | — | 116 | 103 | 29 | 5 | 2 | 1 | 6 | 26 | 2 | 4 | 0 | 282 | 333 | 398 | 731 | 117 | 318 | 22 | 5 | 299 | 88 | — | — | — | — | — | — |
| 2008 | 17 | ROK MLE | AZL Rangers | — | 144 | 132 | 21 | 2 | 2 | 0 | 5 | 58 | 0 | 12 | 3 | 159 | 190 | 205 | 394 | 45 | 273 | 40 | 3 | 171 | 2 | — | — | — | — | — | — |
| 2008 | 17 | ROK RAW | AZL Rangers | — | 144 | 129 | 27 | 3 | 3 | 0 | 8 | 40 | 0 | 12 | 3 | 209 | 255 | 279 | 535 | 70 | 293 | 28 | 6 | 231 | 2 | — | — | — | — | — | — |
| 2009 | 18 | A MLE | Hickory Crawdads | — | 308 | 281 | 62 | 5 | 3 | 1 | 13 | 86 | 4 | 19 | 6 | 221 | 265 | 270 | 536 | 50 | 313 | 28 | 4 | 230 | 42 | — | — | — | — | — | — |
| 2009 | 18 | A RAW | Hickory Crawdads | — | 308 | 276 | 64 | 6 | 3 | 1 | 18 | 64 | 4 | 19 | 6 | 232 | 289 | 286 | 575 | 54 | 297 | 21 | 6 | 256 | 42 | — | — | — | — | — | — |
| 2010 | 19 | A MLE | 2 teams | — | 414 | 387 | 103 | 6 | 4 | 2 | 17 | 85 | 1 | 51 | 11 | 266 | 299 | 318 | 617 | 52 | 336 | 21 | 4 | 269 | 68 | — | — | — | — | — | — |
| 2010 | 19 | A RAW | 2 teams | — | 414 | 377 | 103 | 7 | 4 | 3 | 27 | 61 | 1 | 51 | 11 | 273 | 323 | 337 | 660 | 64 | 318 | 15 | 7 | 294 | 68 | — | — | — | — | — | — |
| 2011 | 20 | A+ MLE | 2 teams | — | 579 | 545 | 122 | 18 | 5 | 3 | 20 | 172 | 4 | 38 | 15 | 224 | 257 | 292 | 548 | 68 | 321 | 30 | 3 | 237 | 47 | — | — | — | — | — | — |
| 2011 | 20 | A+ RAW | 2 teams | — | 579 | 533 | 145 | 25 | 7 | 6 | 32 | 115 | 4 | 38 | 15 | 272 | 318 | 379 | 697 | 107 | 337 | 20 | 6 | 307 | 47 | — | — | — | — | — | — |
| 2012 | 21 | AA MLE | 2 teams | — | 574 | 532 | 155 | 15 | 16 | 2 | 19 | 135 | 8 | 40 | 9 | 291 | 326 | 391 | 717 | 100 | 384 | 24 | 3 | 304 | 92 | — | — | — | — | — | — |
| 2012 | 21 | AA RAW | 2 teams | — | 574 | 521 | 151 | 17 | 12 | 4 | 30 | 113 | 8 | 40 | 9 | 290 | 338 | 392 | 730 | 102 | 361 | 20 | 5 | 319 | 92 | — | — | — | — | — | — |
| 2013 | 22 | AAA MLE | 3 teams | — | 518 | 480 | 112 | 13 | 8 | 5 | 27 | 156 | 5 | 35 | 7 | 233 | 281 | 325 | 606 | 92 | 334 | 30 | 5 | 263 | 64 | — | — | — | — | — | — |
| 2013 | 22 | AAA RAW | 3 teams | — | 518 | 471 | 116 | 12 | 6 | 6 | 36 | 125 | 5 | 35 | 7 | 246 | 307 | 335 | 642 | 89 | 323 | 24 | 7 | 289 | 64 | — | — | — | — | — | — |
| 2014 | 23 | MLB MLE | 2 teams | — | 277 | 262 | 43 | 5 | 0 | 2 | 7 | 86 | 0 | 20 | 4 | 164 | 186 | 206 | 392 | 42 | 233 | 31 | 3 | 173 | 3 | -32 | +2 | -2 | +1 | +6 | -2.5 |
| 2014 | 23 | MLB RAW | 2 teams | — | 277 | 247 | 62 | 9 | 1 | 1 | 22 | 62 | 0 | 20 | 4 | 251 | 312 | 308 | 620 | 57 | 328 | 22 | 8 | 277 | 3 | -32 | +2 | -2 | +1 | +6 | -2.5 |
| 2015 | 24 | AAA MLE | 3 teams | — | 538 | 500 | 147 | 24 | 4 | 3 | 21 | 119 | 4 | 37 | 13 | 294 | 328 | 376 | 704 | 82 | 378 | 22 | 4 | 302 | 91 | — | — | — | — | — | — |
| 2015 | 24 | AAA RAW | 3 teams | — | 538 | 490 | 143 | 24 | 4 | 6 | 31 | 101 | 4 | 37 | 13 | 292 | 339 | 394 | 733 | 102 | 355 | 19 | 6 | 322 | 91 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 3 teams | — | 532 | 496 | 146 | 13 | 8 | 9 | 22 | 117 | 5 | 28 | 11 | 294 | 331 | 407 | 738 | 113 | 367 | 22 | 4 | 319 | 102 | — | — | — | — | — | — |
| 2016 | 25 | AAA RAW | 3 teams | — | 532 | 478 | 138 | 15 | 8 | 7 | 40 | 98 | 5 | 28 | 11 | 289 | 350 | 397 | 747 | 109 | 348 | 18 | 8 | 331 | 102 | — | — | — | — | — | — |
| 2017 | 26 | MLB MLE | 2 teams | — | 390 | 361 | 97 | 18 | 2 | 11 | 16 | 83 | 8 | 11 | 6 | 269 | 314 | 421 | 735 | 152 | 320 | 21 | 4 | 323 | 105 | +2 | -0 | +3 | +1 | +8 | 1.5 |
| 2017 | 26 | MLB RAW | 2 teams | — | 390 | 361 | 101 | 17 | 2 | 12 | 16 | 79 | 8 | 11 | 6 | 280 | 325 | 438 | 762 | 158 | 327 | 20 | 4 | 334 | 105 | +2 | -0 | +3 | +1 | +8 | 1.5 |
| 2018 | 27 | MLB MLE | 2 teams | — | 290 | 272 | 75 | 9 | 4 | 4 | 10 | 73 | 3 | 12 | 1 | 276 | 309 | 382 | 691 | 107 | 362 | 25 | 3 | 301 | 90 | -3 | +2 | +3 | -3 | +6 | 0.5 |
| 2018 | 27 | MLB RAW | 2 teams | — | 290 | 272 | 76 | 10 | 4 | 4 | 10 | 72 | 3 | 12 | 1 | 279 | 312 | 390 | 702 | 110 | 365 | 25 | 3 | 308 | 90 | -3 | +2 | +3 | -3 | +6 | 0.5 |
| 2019 | 28 | MLB MLE | Chicago White Sox | — | 618 | 577 | 161 | 27 | 3 | 8 | 21 | 139 | 6 | 15 | 5 | 279 | 311 | 378 | 689 | 99 | 353 | 22 | 3 | 301 | 90 | -8 | +1 | +1 | +2 | +13 | 1.1 |
| 2019 | 28 | MLB RAW | Chicago White Sox | — | 618 | 577 | 161 | 27 | 3 | 8 | 21 | 139 | 6 | 15 | 5 | 279 | 311 | 378 | 689 | 99 | 353 | 22 | 3 | 302 | 90 | -8 | +1 | +1 | +2 | +13 | 1.1 |
| 2020 | 29 | MLB MLE | Chicago White Sox | — | 63 | 59 | 16 | 1 | 0 | 3 | 4 | 9 | 0 | 0 | 0 | 271 | 317 | 441 | 758 | 169 | 277 | 14 | 6 | 334 | 112 | +1 | +0 | +1 | +1 | +1 | 0.4 |
| 2020 | 29 | MLB RAW | Chicago White Sox | — | 63 | 59 | 16 | 1 | 0 | 3 | 4 | 9 | 0 | 0 | 0 | 271 | 317 | 441 | 758 | 169 | 277 | 14 | 6 | 336 | 112 | +1 | +0 | +1 | +1 | +1 | 0.4 |
| 2021 | 30 | MLB MLE | Chicago White Sox | — | 474 | 415 | 111 | 22 | 4 | 5 | 41 | 97 | 4 | 6 | 2 | 267 | 339 | 376 | 715 | 108 | 333 | 20 | 9 | 313 | 98 | -1 | +0 | -2 | +2 | +10 | 1.0 |
| 2021 | 30 | MLB RAW | Chicago White Sox | — | 474 | 415 | 111 | 22 | 4 | 5 | 41 | 97 | 4 | 6 | 2 | 267 | 339 | 376 | 715 | 108 | 333 | 20 | 9 | 314 | 98 | -1 | +0 | -2 | +2 | +10 | 1.0 |
| 2022 | 31 | MLB MLE | Chicago White Sox | — | 315 | 300 | 63 | 8 | 0 | 3 | 7 | 65 | 3 | 2 | 0 | 210 | 235 | 267 | 502 | 57 | 255 | 21 | 2 | 224 | 38 | -23 | +0 | +1 | +1 | +7 | -1.5 |
| 2022 | 31 | MLB RAW | Chicago White Sox | — | 315 | 300 | 63 | 8 | 0 | 3 | 7 | 65 | 3 | 2 | 0 | 210 | 235 | 267 | 502 | 57 | 255 | 21 | 2 | 224 | 38 | -23 | +0 | +1 | +1 | +7 | -1.5 |
| 2023 | 32 | INTL MLE | Dominican Republic | — | 115 | 101 | 32 | 5 | 2 | 0 | 10 | 19 | 1 | 8 | 1 | 317 | 384 | 406 | 790 | 89 | 386 | 17 | 9 | — | — | — | — | — | — | — | — |
| 2023 | 32 | INTL RAW | Dominican Republic | — | 115 | 101 | 32 | 5 | 2 | 0 | 10 | 19 | 1 | 8 | 1 | 317 | 384 | 406 | 790 | 89 | 386 | 17 | 9 | 348 | 121 | — | — | — | — | — | — |
| 2024 | 33 | INTL MLE | 2 teams | — | 276 | 251 | 67 | 12 | 4 | 2 | 14 | 63 | 5 | 14 | 0 | 267 | 319 | 371 | 689 | 104 | 342 | 23 | 5 | 299 | 88 | — | — | — | — | — | — |
| 2024 | 33 | INTL RAW | 2 teams | — | 276 | 248 | 72 | 15 | 3 | 4 | 17 | 50 | 5 | 14 | 0 | 290 | 348 | 423 | 772 | 133 | 343 | 18 | 6 | 338 | 88 | — | — | — | — | — | — |
| 2025 | 34 | INTL MLE | Gigantes del Cibao | — | 116 | 102 | 22 | 4 | 0 | 1 | 13 | 25 | 0 | 5 | 3 | 216 | 304 | 284 | 589 | 69 | 273 | 22 | 11 | — | — | — | — | — | — | — | — |
| 2025 | 34 | INTL RAW | Gigantes del Cibao | — | 116 | 102 | 22 | 4 | 0 | 1 | 13 | 25 | 0 | 5 | 3 | 216 | 304 | 284 | 589 | 69 | 273 | 22 | 11 | 273 | 71 | — | — | — | — | — | — |
| 2008 | 17 | ROK MLE | AZL Rangers | — | 144 | 138 | 21 | 2 | 2 | 0 | 5 | 58 | 0 | 12 | 3 | 152 | 190 | 196 | 385 | 43 | 248 | 40 | 3 | 171 | 2 | — | — | — | — | — | — |
| 2009 | 18 | A MLE | Hickory Crawdads | — | 308 | 288 | 62 | 5 | 3 | 1 | 13 | 86 | 4 | 19 | 6 | 215 | 265 | 264 | 529 | 49 | 297 | 28 | 4 | 230 | 42 | — | — | — | — | — | — |
| 2010 | 19 | A MLE | 2 teams | — | 414 | 393 | 103 | 6 | 4 | 2 | 17 | 85 | 1 | 51 | 11 | 262 | 299 | 313 | 612 | 51 | 326 | 21 | 4 | 269 | 68 | — | — | — | — | — | — |
| 2011 | 20 | A+ MLE | 2 teams | — | 579 | 550 | 122 | 18 | 5 | 3 | 20 | 172 | 4 | 38 | 15 | 222 | 257 | 289 | 546 | 67 | 313 | 30 | 3 | 237 | 47 | — | — | — | — | — | — |
| 2012 | 21 | AA MLE | 2 teams | — | 574 | 542 | 155 | 15 | 16 | 2 | 19 | 135 | 8 | 40 | 9 | 286 | 326 | 384 | 709 | 98 | 368 | 24 | 3 | 304 | 92 | — | — | — | — | — | — |
| 2013 | 22 | AAA MLE | 3 teams | — | 518 | 481 | 112 | 13 | 8 | 5 | 27 | 156 | 5 | 35 | 7 | 233 | 281 | 324 | 606 | 91 | 330 | 30 | 5 | 263 | 64 | — | — | — | — | — | — |
| 2014 | 23 | MLB MLE | 2 teams | — | 277 | 268 | 43 | 5 | 0 | 2 | 7 | 86 | 0 | 20 | 4 | 160 | 186 | 201 | 387 | 41 | 237 | 31 | 3 | 173 | 3 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | 3 teams | — | 538 | 508 | 147 | 24 | 4 | 3 | 21 | 119 | 4 | 37 | 13 | 289 | 328 | 370 | 698 | 81 | 365 | 22 | 4 | 302 | 91 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 3 teams | — | 532 | 500 | 146 | 13 | 8 | 9 | 22 | 117 | 5 | 28 | 11 | 292 | 331 | 404 | 735 | 112 | 359 | 22 | 4 | 319 | 102 | — | — | — | — | — | — |
| 2017 | 26 | MLB MLE | 2 teams | — | 390 | 363 | 97 | 18 | 2 | 11 | 16 | 83 | 8 | 11 | 6 | 267 | 314 | 419 | 733 | 152 | 321 | 21 | 4 | 323 | 105 | — | — | — | — | — | — |
| 2018 | 27 | MLB MLE | 2 teams | — | 290 | 275 | 75 | 9 | 4 | 4 | 10 | 73 | 3 | 12 | 1 | 273 | 309 | 378 | 687 | 105 | 360 | 25 | 3 | 301 | 90 | — | — | — | — | — | — |
| 2019 | 28 | MLB MLE | Chicago White Sox | — | 618 | 586 | 161 | 27 | 3 | 8 | 21 | 139 | 6 | 15 | 5 | 275 | 311 | 372 | 683 | 97 | 353 | 22 | 3 | 301 | 90 | — | — | — | — | — | — |
| 2020 | 29 | MLB MLE | Chicago White Sox | — | 63 | 59 | 16 | 1 | 0 | 3 | 4 | 9 | 0 | 0 | 0 | 271 | 317 | 441 | 758 | 169 | 277 | 14 | 6 | 334 | 112 | — | — | — | — | — | — |
| 2021 | 30 | MLB MLE | Chicago White Sox | — | 474 | 426 | 111 | 22 | 4 | 5 | 41 | 97 | 4 | 6 | 2 | 261 | 339 | 366 | 705 | 106 | 333 | 20 | 9 | 313 | 98 | — | — | — | — | — | — |
| 2022 | 31 | MLB MLE | Chicago White Sox | — | 315 | 302 | 63 | 8 | 0 | 3 | 7 | 65 | 3 | 2 | 0 | 209 | 235 | 265 | 500 | 56 | 255 | 21 | 2 | 224 | 38 | — | — | — | — | — | — |
| 2024 | 33 | INTL MLE | 2 teams | — | 276 | 255 | 67 | 12 | 4 | 2 | 14 | 63 | 5 | 14 | 0 | 263 | 319 | 365 | 683 | 102 | 318 | 23 | 5 | 299 | 88 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 33 | INTL MLE | 2 teams | — | 276 | 255 | 67 | 12 | 4 | 2 | 14 | 63 | 5 | 14 | 0 | 263 | 319 | 365 | 683 | 102 | 318 | 23 | 5 | 299 | 88 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2402 | 2217 | 560 | 85 | 15 | 34 | 109 | 550 | 25 | 64 | 17 | 253 | 295 | 350 | 646 | 98 | 319 | 23 | 5 | 285 | 68 | -60 | +6 | +6 | +11 | +52 | 1.4 | |
| / 162G | — | A+C | — | 650 | 600 | 151 | 23 | 4 | 9 | 29 | 149 | 7 | 17 | 5 | 252 | 294 | 348 | 642 | 97 | 318 | 23 | 4 | 285 | 68 | -16 | +2 | +2 | +3 | +14 | 0.4 | |
| Career | — | MLE | — | 6541 | 6053 | 1555 | 207 | 69 | 64 | 287 | 1587 | 61 | 353 | 97 | 257 | 297 | 346 | 643 | 89 | 336 | 24 | 4 | 269 | 68 | -60 | +6 | +6 | +11 | +52 | 1.4 | |
| / 162G | — | MLE | — | 650 | 602 | 155 | 21 | 7 | 6 | 29 | 158 | 6 | 35 | 10 | 257 | 299 | 346 | 644 | 88 | 337 | 24 | 4 | 269 | 68 | -16 | +2 | +2 | +3 | +14 | 0.4 | |
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.
2024 AAAGwinnett Stripers · 116 PAwOBA .362 → .299 (−62)K% 18.1% → 22.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.10% | ÷0.958 | ×1.200 | — | — | 22.67% |
| BB% (unintentional) /PA | 7.76% | ÷1.001 | ×0.690 | — | ×0.942 | 5.04% |
| HBP% /PA | 1.72% | — | ×0.940 | — | ×0.942 | 1.53% |
| Singles /BIP | 29.11% | ÷0.977 | ×0.930 | ×0.965 | ×0.942 | 25.21% |
| Doubles /BIP | 7.59% | ÷0.961 | ×0.830 | ×0.965 | ×0.942 | 5.97% |
| Triples /BIP | 2.53% | ÷1.150 | ×0.970 | ×0.965 | ×0.942 | 1.94% |
| Home runs /BIP | 1.27% | ÷0.968 | ×0.700 | — | ×0.942 | 0.86% |
Factors used: league row International League. Park (home-season share, regressed): HR 94, 1B 95, 2B 92, 3B 130, K 92, BB 100 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.965.
Result: wOBA .362 → .299; ISO .130 → .102; BABIP .378 → .318. 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 AAACharlotte Knights · 15 PAwOBA .471 → .373 (−98)K% 20.0% → 24.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.986 | ×1.200 | — | — | 24.33% |
| BB% (unintentional) /PA | 6.67% | ÷1.030 | ×0.690 | — | ×1.003 | 4.48% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.003 | 0.00% |
| Singles /BIP | 27.27% | ÷1.030 | ×0.930 | — | ×1.003 | 24.70% |
| Doubles /BIP | 27.27% | ÷1.077 | ×0.830 | — | ×1.003 | 21.09% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.003 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.319 | ×0.840 | — | ×1.003 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 164, 1B 106, 2B 115, 3B 130, K 97, BB 106 — 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).
Result: wOBA .471 → .373; ISO .214 → .161; BABIP .545 → .458. 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 AAACharlotte Knights · 342 PAwOBA .340 → .326 (−14)K% 18.7% → 21.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.71% | ÷1.053 | ×1.200 | — | — | 21.33% |
| BB% (unintentional) /PA | 6.14% | ÷0.990 | ×0.690 | — | ×1.033 | 4.42% |
| HBP% /PA | 0.88% | — | ×0.940 | — | ×1.033 | 0.85% |
| Singles /BIP | 31.71% | ÷1.031 | ×0.930 | ×1.050 | ×1.033 | 31.01% |
| Doubles /BIP | 3.66% | ÷0.974 | ×0.830 | ×1.050 | ×1.033 | 3.38% |
| Triples /BIP | 1.63% | ÷0.926 | ×0.970 | ×1.050 | ×1.033 | 1.85% |
| Home runs /BIP | 2.44% | ÷0.950 | ×0.840 | — | ×1.033 | 2.23% |
Factors used: league row IL. Park (home-season share, regressed): HR 90, 1B 106, 2B 95, 3B 85, K 111, BB 98 — 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 ×1.050.
Result: wOBA .340 → .326; ISO .113 → .111; BABIP .378 → .369. 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 AAACharlotte Knights · 385 PAwOBA .316 → .305 (−11)K% 17.1% → 21.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.14% | ÷0.971 | ×1.200 | — | — | 21.19% |
| BB% (unintentional) /PA | 5.19% | ÷1.017 | ×0.690 | — | ×1.048 | 3.70% |
| HBP% /PA | 1.04% | — | ×0.940 | — | ×1.048 | 1.02% |
| Singles /BIP | 27.92% | ÷0.973 | ×0.930 | ×1.046 | ×1.048 | 29.27% |
| Doubles /BIP | 6.71% | ÷0.993 | ×0.830 | ×1.046 | ×1.048 | 6.15% |
| Triples /BIP | 1.06% | ÷1.150 | ×0.970 | ×1.046 | ×1.048 | 0.98% |
| Home runs /BIP | 1.06% | ÷1.306 | ×0.840 | — | ×1.048 | 0.71% |
Factors used: league row IL. Park (home-season share, regressed): HR 161, 1B 95, 2B 99, 3B 130, K 94, BB 103 — 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 ×1.046.
Result: wOBA .316 → .305; ISO .097 → .084; BABIP .357 → .363. 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).
2013 AAACharlotte Knights · 240 PAwOBA .306 → .284 (−22)K% 25.4% → 29.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.42% | ÷1.023 | ×1.200 | — | — | 29.83% |
| BB% (unintentional) /PA | 6.25% | ÷0.939 | ×0.690 | — | ×1.050 | 4.82% |
| HBP% /PA | 0.42% | — | ×0.940 | — | ×1.050 | 0.41% |
| Singles /BIP | 25.93% | ÷1.004 | ×0.930 | ×1.033 | ×1.050 | 26.05% |
| Doubles /BIP | 5.56% | ÷1.006 | ×0.830 | ×1.033 | ×1.050 | 4.97% |
| Triples /BIP | 2.47% | ÷0.900 | ×0.970 | ×1.033 | ×1.050 | 2.89% |
| Home runs /BIP | 2.47% | ÷0.972 | ×0.840 | — | ×1.050 | 2.24% |
Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 101, 2B 101, 3B 80, K 105, BB 88 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.
Result: wOBA .306 → .284; ISO .130 → .122; BABIP .348 → .347. 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).
2012 AAFrisco RoughRiders · 416 PAwOBA .312 → .304 (−9)K% 19.0% → 23.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.99% | ÷0.982 | ×1.220 | — | — | 23.59% |
| BB% (unintentional) /PA | 4.81% | ÷1.061 | ×0.700 | — | ×1.050 | 3.33% |
| HBP% /PA | 1.20% | — | ×0.870 | — | ×1.050 | 1.10% |
| Singles /BIP | 28.52% | ÷0.978 | ×0.920 | ×1.050 | ×1.050 | 29.58% |
| Doubles /BIP | 4.03% | ÷1.035 | ×0.840 | ×1.050 | ×1.050 | 3.60% |
| Triples /BIP | 3.69% | ÷1.016 | ×0.940 | ×1.050 | ×1.050 | 3.77% |
| Home runs /BIP | 0.67% | ÷1.137 | ×0.800 | — | ×1.050 | 0.50% |
Factors used: league row TL. Park (home-season share, regressed): HR 127, 1B 96, 2B 107, 3B 103, K 96, BB 112 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .312 → .304; ISO .106 → .100; BABIP .361 → .368. 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).
2011 A+Myrtle Beach Pelicans · 482 PAwOBA .280 → .237 (−43)K% 20.7% → 29.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.75% | ÷0.992 | ×1.420 | — | — | 29.69% |
| BB% (unintentional) /PA | 5.60% | ÷1.062 | ×0.630 | — | ×1.042 | 3.46% |
| HBP% /PA | 0.83% | — | ×0.860 | — | ×1.042 | 0.74% |
| Singles /BIP | 25.15% | ÷1.030 | ×0.940 | ×1.050 | ×1.042 | 25.12% |
| Doubles /BIP | 5.56% | ÷1.099 | ×0.830 | ×1.050 | ×1.042 | 4.59% |
| Triples /BIP | 1.46% | ÷0.900 | ×0.800 | ×1.050 | ×1.042 | 1.42% |
| Home runs /BIP | 0.88% | ÷1.203 | ×0.900 | — | ×1.042 | 0.68% |
Factors used: league row CAR. Park (home-season share, regressed): HR 141, 1B 106, 2B 120, 3B 80, K 98, BB 112 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .280 → .237; ISO .086 → .068; BABIP .324 → .313. 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).
2010 AHickory Crawdads · 392 PAwOBA .274 → .262 (−13)K% 14.5% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.54% | ÷0.971 | ×1.340 | — | — | 20.06% |
| BB% (unintentional) /PA | 5.87% | ÷1.059 | ×0.660 | — | ×1.045 | 3.82% |
| HBP% /PA | 0.26% | — | ×0.770 | — | ×1.045 | 0.21% |
| Singles /BIP | 27.15% | ÷0.959 | ×0.920 | ×1.050 | ×1.045 | 28.57% |
| Doubles /BIP | 1.66% | ÷0.969 | ×0.820 | ×1.050 | ×1.045 | 1.54% |
| Triples /BIP | 1.32% | ÷1.063 | ×0.940 | ×1.050 | ×1.045 | 1.28% |
| Home runs /BIP | 0.99% | ÷1.035 | ×0.820 | — | ×1.045 | 0.82% |
Factors used: league row SAL. Park (home-season share, regressed): HR 107, 1B 92, 2B 94, 3B 113, K 94, BB 112 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .274 → .262; ISO .061 → .055; BABIP .303 → .315. 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 — .