Esteban Quiroz
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 32 | AAA/INTL2 orgs | 446 | .216/.371/.403 | 16 | 4 | 104 | — | .131/.223/.202 |
| 2025 | 33 | INTLAlgodoneros d… | 274 | .239/.404/.349 | 3 | 2 | 120 | — | |
| 2026 | 34 | INTLAguilas de Me… | 55 | .222/.352/.511 | 4 | 0 | 139 | — |
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) | |||||||||||||||||||||||||||||||
| 2011 | 19 | AAA | Tigres de Quintana Roo | — | 28 | 25 | 3 | 0 | 0 | 0 | 2 | 7 | 1 | 0 | 0 | 120 | 214 | 120 | 334 | 167 | 25 | 7 | 173 | -11 | — | — | — | — | — | — | |
| 2012 | 20 | AAA | Tigres de Quintana Roo | — | 266 | 235 | 60 | 12 | 3 | 4 | 25 | 38 | 4 | 4 | 2 | 255 | 337 | 383 | 720 | 128 | 290 | 14 | 9 | 324 | 79 | — | — | — | — | — | — |
| 2013 | 21 | AAA | Tigres de Quintana Roo | — | 67 | 55 | 11 | 5 | 0 | 0 | 10 | 12 | 2 | 0 | 1 | 200 | 343 | 291 | 634 | 91 | 256 | 18 | 15 | 303 | 59 | — | — | — | — | — | — |
| 2014 | 22 | AAA | Tigres de Quintana Roo | — | 61 | 44 | 10 | 4 | 1 | 1 | 11 | 5 | 2 | 1 | 0 | 227 | 404 | 432 | 835 | 205 | 231 | 8 | 18 | 354 | 106 | — | — | — | — | — | — |
| 2014 | 22 | INTL | Yaquis de Obregon | — | 66 | 51 | 17 | 5 | 0 | 2 | 13 | 10 | 0 | 4 | 0 | 333 | 469 | 549 | 1.018 | 216 | 375 | 15 | 20 | 435 | 180 | — | — | — | — | — | — |
| 2015 | 23 | AAA | Tigres de Quintana Roo | — | 377 | 327 | 103 | 23 | 0 | 7 | 39 | 57 | 6 | 3 | 7 | 315 | 398 | 450 | 847 | 135 | 362 | 15 | 10 | 376 | 116 | — | — | — | — | — | — |
| 2015 | 23 | INTL | Mexico | — | 294 | 242 | 78 | 14 | 0 | 7 | 29 | 51 | 11 | 4 | 2 | 322 | 418 | 467 | 885 | 145 | 374 | 17 | 10 | 382 | 145 | — | — | — | — | — | — |
| 2016 | 24 | AAA | Tigres de Quintana Roo | — | 416 | 337 | 113 | 18 | 0 | 15 | 66 | 48 | 7 | 4 | 4 | 335 | 454 | 522 | 976 | 187 | 353 | 12 | 16 | 428 | 145 | — | — | — | — | — | — |
| 2016 | 24 | INTL | Venados de Mazatlan | — | 123 | 106 | 21 | 2 | 0 | 1 | 12 | 26 | 2 | 1 | 0 | 198 | 292 | 245 | 537 | 47 | 247 | 21 | 10 | 250 | 56 | — | — | — | — | — | — |
| 2017 | 25 | AAA | Leones de Yucatan | — | 358 | 287 | 84 | 23 | 0 | 11 | 64 | 41 | 4 | 8 | 2 | 293 | 428 | 488 | 916 | 195 | 311 | 11 | 18 | 406 | 114 | — | — | — | — | — | — |
| 2017 | 25 | INTL | Venados de Mazatlan | — | 240 | 197 | 52 | 12 | 1 | 0 | 31 | 38 | 10 | 5 | 0 | 264 | 391 | 335 | 726 | 71 | 323 | 16 | 13 | 339 | 115 | — | — | — | — | — | — |
| 2018 | 26 | AA | Portland Sea Dogs | — | 104 | 87 | 26 | 5 | 0 | 7 | 13 | 19 | 4 | 1 | 1 | 299 | 413 | 598 | 1.011 | 299 | 311 | 18 | 12 | 439 | 114 | — | — | — | — | — | — |
| 2018 | 26 | ROK | GCL Red Sox | — | 29 | 19 | 4 | 0 | 1 | 0 | 6 | 3 | 1 | 0 | 0 | 211 | 423 | 316 | 739 | 105 | 211 | 10 | 21 | 319 | 65 | — | — | — | — | — | — |
| 2018 | 26 | INTL | Caneros de los Mochis | — | 190 | 143 | 37 | 9 | 2 | 8 | 41 | 37 | 4 | 1 | 1 | 259 | 436 | 517 | 954 | 259 | 290 | 19 | 22 | 417 | 168 | — | — | — | — | — | — |
| 2019 | 27 | AAA | El Paso Chihuahuas | — | 366 | 306 | 83 | 25 | 0 | 19 | 52 | 82 | 5 | 3 | 1 | 271 | 386 | 539 | 925 | 268 | 309 | 22 | 14 | 401 | 87 | — | — | — | — | — | — |
| 2019 | 27 | INTL | Caneros de los Mochis | — | 107 | 89 | 23 | 4 | 0 | 4 | 13 | 17 | 3 | 0 | 1 | 258 | 371 | 438 | 810 | 180 | 271 | 16 | 12 | 358 | 128 | — | — | — | — | — | — |
| 2020 | 28 | INTL | Caneros de los Mochis | — | 234 | 174 | 52 | 8 | 0 | 8 | 51 | 28 | 6 | 1 | 0 | 299 | 472 | 483 | 955 | 184 | 312 | 12 | 22 | 425 | 174 | — | — | — | — | — | — |
| 2021 | 29 | AAA | Durham Bulls | — | 262 | 213 | 57 | 19 | 0 | 12 | 43 | 56 | 5 | 1 | 0 | 268 | 402 | 526 | 928 | 258 | 308 | 21 | 16 | 407 | 98 | — | — | — | — | — | — |
| 2021 | 29 | ROK | FCL Rays | — | 18 | 12 | 5 | 1 | 1 | 2 | 3 | 4 | 3 | 2 | 0 | 417 | 611 | 1.167 | 1.778 | 750 | 500 | 22 | 17 | 681 | 211 | — | — | — | — | — | — |
| 2021 | 29 | INTL | Mexico | — | 198 | 156 | 40 | 6 | 0 | 3 | 36 | 31 | 2 | 6 | 1 | 256 | 402 | 353 | 755 | 96 | 296 | 16 | 18 | 346 | 121 | — | — | — | — | — | — |
| 2022 | 30 | MLB | Chicago Cubs | — | 47 | 40 | 11 | 0 | 0 | 0 | 4 | 9 | 2 | 1 | 1 | 275 | 370 | 275 | 645 | 355 | 19 | 9 | 302 | 90 | -1 | -0 | +0 | +1 | +1 | 0.2 | |
| 2022 | 30 | AAA | Iowa Cubs | — | 148 | 118 | 25 | 4 | 0 | 3 | 24 | 35 | 4 | 0 | 0 | 212 | 363 | 322 | 685 | 110 | 268 | 24 | 16 | 320 | 55 | — | — | — | — | — | — |
| 2022 | 30 | INTL | Algodoneros de Guasave | — | 83 | 68 | 17 | 1 | 0 | 2 | 13 | 15 | 2 | 0 | 1 | 250 | 386 | 353 | 738 | 103 | 294 | 18 | 16 | 345 | 120 | — | — | — | — | — | — |
| 2023 | 31 | AAA | Lehigh Valley IronPigs | — | 388 | 325 | 75 | 19 | 0 | 7 | 57 | 62 | 3 | 7 | 2 | 231 | 351 | 354 | 704 | 123 | 263 | 16 | 15 | 323 | 53 | — | — | — | — | — | — |
| 2023 | 31 | INTL | Algodoneros de Guasave | — | 178 | 139 | 31 | 9 | 0 | 1 | 31 | 28 | 6 | 2 | 1 | 223 | 386 | 309 | 696 | 86 | 270 | 16 | 17 | 330 | 109 | — | — | — | — | — | — |
| 2024 | 32 | AAA | Lehigh Valley IronPigs | — | 190 | 158 | 25 | 4 | 0 | 4 | 27 | 52 | 3 | 1 | 0 | 158 | 293 | 259 | 552 | 101 | 202 | 27 | 14 | 263 | 22 | — | — | — | — | — | — |
| 2024 | 32 | INTL | Tomateros de Culiacan | — | 256 | 194 | 51 | 14 | 0 | 12 | 51 | 43 | 6 | 3 | 2 | 263 | 430 | 521 | 951 | 258 | 271 | 17 | 20 | 412 | 165 | — | — | — | — | — | — |
| 2025 | 33 | INTL | Algodoneros de Guasave | — | 274 | 209 | 50 | 14 | 0 | 3 | 55 | 35 | 3 | 2 | 1 | 239 | 404 | 349 | 754 | 110 | 270 | 13 | 20 | 345 | 120 | — | — | — | — | — | — |
| 2026 | 34 | INTL | Aguilas de Mexicali | — | 55 | 45 | 10 | 1 | 0 | 4 | 5 | 9 | 4 | 0 | 0 | 222 | 352 | 511 | 863 | 289 | 182 | 16 | 9 | 374 | 139 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 47 | 40 | 11 | 0 | 0 | 0 | 4 | 9 | 2 | 1 | 1 | 275 | 370 | 275 | 645 | 355 | 19 | 9 | 302 | 91 | -1 | -0 | +0 | +1 | +1 | 0.2 | |||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2011 | 19 | AAA MLE | Tigres de Quintana Roo | — | 28 | 26 | 3 | 0 | 0 | 0 | 1 | 8 | 1 | 0 | 0 | 115 | 179 | 115 | 294 | 170 | 29 | 4 | 152 | -11 | — | — | — | — | — | — | |
| 2012 | 20 | AAA MLE | Tigres de Quintana Roo | — | 266 | 244 | 60 | 12 | 3 | 3 | 16 | 46 | 4 | 4 | 2 | 246 | 303 | 357 | 660 | 111 | 286 | 17 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2013 | 21 | AAA MLE | Tigres de Quintana Roo | — | 67 | 58 | 11 | 5 | 0 | 0 | 7 | 14 | 2 | 0 | 1 | 190 | 299 | 276 | 574 | 86 | 243 | 21 | 10 | 256 | 59 | — | — | — | — | — | — |
| 2014 | 22 | AAA MLE | Tigres de Quintana Roo | — | 61 | 47 | 11 | 4 | 1 | 1 | 8 | 6 | 2 | 1 | 0 | 234 | 368 | 426 | 794 | 191 | 220 | 10 | 13 | 325 | 106 | — | — | — | — | — | — |
| 2015 | 23 | AAA MLE | Tigres de Quintana Roo | — | 377 | 340 | 104 | 22 | 0 | 5 | 26 | 64 | 6 | 3 | 7 | 306 | 366 | 415 | 780 | 109 | 354 | 17 | 7 | 340 | 116 | — | — | — | — | — | — |
| 2016 | 24 | AAA MLE | Tigres de Quintana Roo | — | 416 | 360 | 117 | 18 | 0 | 11 | 43 | 55 | 7 | 4 | 4 | 325 | 407 | 467 | 874 | 142 | 347 | 13 | 10 | 382 | 145 | — | — | — | — | — | — |
| 2017 | 25 | AAA MLE | Leones de Yucatan | — | 358 | 313 | 80 | 20 | 0 | 9 | 38 | 48 | 4 | 8 | 2 | 256 | 344 | 406 | 749 | 150 | 275 | 13 | 11 | 337 | 114 | — | — | — | — | — | — |
| 2018 | 26 | AA MLE | Portland Sea Dogs | — | 104 | 92 | 23 | 4 | 0 | 5 | 8 | 24 | 4 | 1 | 1 | 250 | 337 | 457 | 793 | 207 | 279 | 23 | 8 | 336 | 114 | — | — | — | — | — | — |
| 2018 | 26 | ROK MLE | GCL Red Sox | — | 29 | 21 | 4 | 0 | 1 | 0 | 4 | 4 | 1 | 0 | 0 | 190 | 346 | 286 | 632 | 95 | 163 | 14 | 14 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 27 | AAA MLE | El Paso Chihuahuas | — | 366 | 323 | 64 | 18 | 0 | 15 | 35 | 109 | 5 | 3 | 1 | 198 | 287 | 393 | 680 | 195 | 242 | 30 | 10 | 297 | 87 | — | — | — | — | — | — |
| 2021 | 29 | AAA MLE | Durham Bulls | — | 262 | 227 | 50 | 15 | 0 | 8 | 29 | 65 | 5 | 1 | 0 | 220 | 322 | 392 | 714 | 172 | 268 | 25 | 11 | 313 | 98 | — | — | — | — | — | — |
| 2021 | 29 | ROK MLE | FCL Rays | — | 18 | 13 | 5 | 1 | 1 | 2 | 2 | 6 | 3 | 2 | 0 | 385 | 556 | 1.077 | 1.632 | 692 | 323 | 33 | 11 | 480 | 211 | — | — | — | — | — | — |
| 2022 | 30 | MLB MLE | Chicago Cubs | — | 47 | 40 | 11 | 0 | 0 | 0 | 4 | 9 | 2 | 1 | 1 | 275 | 370 | 275 | 645 | 355 | 19 | 9 | 302 | 90 | -1 | -0 | +0 | +1 | +1 | 0.2 | |
| 2022 | 30 | AAA MLE | Iowa Cubs | — | 148 | 128 | 22 | 3 | 0 | 2 | 14 | 42 | 4 | 0 | 0 | 172 | 274 | 242 | 516 | 70 | 234 | 28 | 9 | 250 | 55 | — | — | — | — | — | — |
| 2023 | 31 | AAA MLE | Lehigh Valley IronPigs | — | 388 | 344 | 64 | 14 | 0 | 5 | 38 | 75 | 3 | 7 | 2 | 186 | 273 | 270 | 543 | 84 | 217 | 19 | 10 | 246 | 53 | — | — | — | — | — | — |
| 2024 | 32 | AAA MLE | Lehigh Valley IronPigs | — | 190 | 168 | 22 | 3 | 0 | 3 | 17 | 61 | 3 | 1 | 0 | 131 | 223 | 202 | 426 | 71 | 178 | 32 | 9 | 200 | 22 | — | — | — | — | — | — |
| 2011 | 19 | AAA MLE | Tigres de Quintana Roo | — | 28 | 26 | 3 | 0 | 0 | 0 | 1 | 8 | 1 | 0 | 0 | 115 | 179 | 115 | 294 | 167 | 29 | 4 | 152 | -11 | — | — | — | — | — | — | |
| 2011 | 19 | AAA RAW | Tigres de Quintana Roo | — | 28 | 25 | 3 | 0 | 0 | 0 | 2 | 7 | 1 | 0 | 0 | 120 | 214 | 120 | 334 | 167 | 25 | 7 | 173 | -11 | — | — | — | — | — | — | |
| 2012 | 20 | AAA MLE | Tigres de Quintana Roo | — | 266 | 244 | 60 | 12 | 3 | 3 | 16 | 46 | 4 | 4 | 2 | 246 | 303 | 357 | 660 | 111 | 292 | 17 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2012 | 20 | AAA RAW | Tigres de Quintana Roo | — | 266 | 235 | 60 | 12 | 3 | 4 | 25 | 38 | 4 | 4 | 2 | 255 | 337 | 383 | 720 | 128 | 290 | 14 | 9 | 324 | 79 | — | — | — | — | — | — |
| 2013 | 21 | AAA MLE | Tigres de Quintana Roo | — | 67 | 58 | 11 | 5 | 0 | 0 | 7 | 14 | 2 | 0 | 1 | 190 | 299 | 276 | 574 | 86 | 250 | 21 | 10 | 256 | 59 | — | — | — | — | — | — |
| 2013 | 21 | AAA RAW | Tigres de Quintana Roo | — | 67 | 55 | 11 | 5 | 0 | 0 | 10 | 12 | 2 | 0 | 1 | 200 | 343 | 291 | 634 | 91 | 256 | 18 | 15 | 303 | 59 | — | — | — | — | — | — |
| 2014 | 22 | INTL MLE | 2 teams | — | 127 | 103 | 24 | 9 | 3 | 2 | 16 | 13 | 2 | 5 | 0 | 233 | 347 | 437 | 784 | 204 | 244 | 10 | 13 | 325 | 106 | — | — | — | — | — | — |
| 2014 | 22 | INTL RAW | 2 teams | — | 127 | 95 | 27 | 9 | 1 | 3 | 24 | 15 | 2 | 5 | 0 | 284 | 438 | 495 | 933 | 211 | 304 | 12 | 19 | 396 | 106 | — | — | — | — | — | — |
| 2015 | 23 | AAA MLE | 2 teams | — | 671 | 591 | 185 | 39 | 0 | 9 | 46 | 114 | 17 | 7 | 9 | 313 | 379 | 425 | 804 | 112 | 370 | 17 | 7 | 340 | 116 | — | — | — | — | — | — |
| 2015 | 23 | AAA RAW | 2 teams | — | 671 | 569 | 181 | 37 | 0 | 14 | 68 | 108 | 17 | 7 | 9 | 318 | 407 | 457 | 864 | 139 | 367 | 16 | 10 | 379 | 116 | — | — | — | — | — | — |
| 2016 | 24 | AAA MLE | 2 teams | — | 539 | 465 | 151 | 23 | 0 | 14 | 56 | 72 | 9 | 5 | 4 | 325 | 408 | 465 | 872 | 140 | 356 | 13 | 10 | 382 | 145 | — | — | — | — | — | — |
| 2016 | 24 | AAA RAW | 2 teams | — | 539 | 443 | 134 | 20 | 0 | 16 | 78 | 74 | 9 | 5 | 4 | 302 | 417 | 456 | 873 | 153 | 329 | 14 | 14 | 387 | 145 | — | — | — | — | — | — |
| 2017 | 25 | AAA MLE | 2 teams | — | 598 | 516 | 133 | 33 | 0 | 15 | 63 | 81 | 14 | 13 | 2 | 258 | 354 | 409 | 763 | 151 | 280 | 14 | 11 | 337 | 114 | — | — | — | — | — | — |
| 2017 | 25 | AAA RAW | 2 teams | — | 598 | 484 | 136 | 35 | 1 | 11 | 95 | 79 | 14 | 13 | 2 | 281 | 413 | 426 | 839 | 145 | 316 | 13 | 16 | 379 | 114 | — | — | — | — | — | — |
| 2018 | 26 | INTL MLE | 3 teams | — | 323 | 281 | 64 | 10 | 2 | 11 | 28 | 68 | 9 | 2 | 2 | 228 | 318 | 395 | 713 | 167 | 256 | 21 | 9 | 320 | 103 | — | — | — | — | — | — |
| 2018 | 26 | INTL RAW | 3 teams | — | 323 | 249 | 67 | 14 | 3 | 15 | 60 | 59 | 9 | 2 | 2 | 269 | 428 | 530 | 958 | 261 | 289 | 18 | 19 | 415 | 103 | — | — | — | — | — | — |
| 2019 | 27 | AAA MLE | 2 teams | — | 473 | 415 | 84 | 23 | 0 | 20 | 45 | 141 | 8 | 3 | 2 | 202 | 293 | 402 | 695 | 200 | 248 | 30 | 10 | 297 | 87 | — | — | — | — | — | — |
| 2019 | 27 | AAA RAW | 2 teams | — | 473 | 395 | 106 | 29 | 0 | 23 | 65 | 99 | 8 | 3 | 2 | 268 | 382 | 516 | 899 | 248 | 300 | 21 | 14 | 392 | 87 | — | — | — | — | — | — |
| 2020 | 28 | INTL MLE | Caneros de los Mochis | — | 234 | 174 | 52 | 8 | 0 | 8 | 51 | 28 | 6 | 1 | 0 | 299 | 472 | 483 | 955 | 184 | 312 | 12 | 22 | — | — | — | — | — | — | — | — |
| 2020 | 28 | INTL RAW | Caneros de los Mochis | — | 234 | 174 | 52 | 8 | 0 | 8 | 51 | 28 | 6 | 1 | 0 | 299 | 472 | 483 | 955 | 184 | 312 | 12 | 22 | 425 | 174 | — | — | — | — | — | — |
| 2021 | 29 | AAA MLE | 3 teams | — | 478 | 411 | 92 | 27 | 1 | 17 | 52 | 121 | 10 | 9 | 1 | 224 | 326 | 418 | 744 | 195 | 271 | 25 | 11 | 324 | 105 | — | — | — | — | — | — |
| 2021 | 29 | AAA RAW | 3 teams | — | 478 | 381 | 102 | 26 | 1 | 17 | 82 | 91 | 10 | 9 | 1 | 268 | 410 | 475 | 885 | 207 | 307 | 19 | 17 | 392 | 105 | — | — | — | — | — | — |
| 2022 | 30 | AAA MLE | 3 teams | — | 278 | 241 | 48 | 5 | 0 | 3 | 26 | 73 | 8 | 1 | 2 | 199 | 298 | 257 | 555 | 58 | 269 | 26 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2022 | 30 | AAA RAW | 3 teams | — | 278 | 226 | 53 | 5 | 0 | 5 | 41 | 59 | 8 | 1 | 2 | 235 | 371 | 323 | 694 | 88 | 293 | 21 | 15 | 325 | 64 | — | — | — | — | — | — |
| 2023 | 31 | AAA MLE | 2 teams | — | 566 | 496 | 92 | 20 | 0 | 7 | 56 | 109 | 9 | 9 | 3 | 185 | 280 | 268 | 548 | 83 | 221 | 19 | 10 | 246 | 53 | — | — | — | — | — | — |
| 2023 | 31 | AAA RAW | 2 teams | — | 566 | 464 | 106 | 28 | 0 | 8 | 88 | 90 | 9 | 9 | 3 | 228 | 362 | 341 | 702 | 112 | 265 | 16 | 16 | 325 | 53 | — | — | — | — | — | — |
| 2024 | 32 | INTL MLE | 2 teams | — | 446 | 389 | 51 | 8 | 0 | 6 | 41 | 143 | 9 | 4 | 2 | 131 | 230 | 198 | 428 | 67 | 182 | 32 | 9 | 200 | 22 | — | — | — | — | — | — |
| 2024 | 32 | INTL RAW | 2 teams | — | 446 | 352 | 76 | 18 | 0 | 16 | 78 | 95 | 9 | 4 | 2 | 216 | 371 | 403 | 775 | 187 | 242 | 21 | 17 | 349 | 22 | — | — | — | — | — | — |
| 2025 | 33 | INTL MLE | Algodoneros de Guasave | — | 274 | 209 | 50 | 14 | 0 | 3 | 55 | 35 | 3 | 2 | 1 | 239 | 404 | 349 | 754 | 110 | 270 | 13 | 20 | — | — | — | — | — | — | — | — |
| 2025 | 33 | INTL RAW | Algodoneros de Guasave | — | 274 | 209 | 50 | 14 | 0 | 3 | 55 | 35 | 3 | 2 | 1 | 239 | 404 | 349 | 754 | 110 | 270 | 13 | 20 | 345 | 120 | — | — | — | — | — | — |
| 2026 | 34 | INTL MLE | Aguilas de Mexicali | — | 55 | 45 | 10 | 1 | 0 | 4 | 5 | 9 | 4 | 0 | 0 | 222 | 352 | 511 | 863 | 289 | 182 | 16 | 9 | — | — | — | — | — | — | — | — |
| 2026 | 34 | INTL RAW | Aguilas de Mexicali | — | 55 | 45 | 10 | 1 | 0 | 4 | 5 | 9 | 4 | 0 | 0 | 222 | 352 | 511 | 863 | 289 | 182 | 16 | 9 | 374 | 139 | — | — | — | — | — | — |
| 2011 | 19 | AAA MLE | Tigres de Quintana Roo | — | 28 | 26 | 3 | 0 | 0 | 0 | 1 | 8 | 1 | 0 | 0 | 115 | 179 | 115 | 294 | 170 | 29 | 4 | 152 | -11 | — | — | — | — | — | — | |
| 2012 | 20 | AAA MLE | Tigres de Quintana Roo | — | 266 | 244 | 60 | 12 | 3 | 3 | 16 | 46 | 4 | 4 | 2 | 246 | 303 | 357 | 660 | 111 | 286 | 17 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2013 | 21 | AAA MLE | Tigres de Quintana Roo | — | 67 | 58 | 11 | 5 | 0 | 0 | 7 | 14 | 2 | 0 | 1 | 190 | 299 | 276 | 574 | 86 | 243 | 21 | 10 | 256 | 59 | — | — | — | — | — | — |
| 2014 | 22 | INTL MLE | 2 teams | — | 127 | 108 | 24 | 9 | 3 | 2 | 16 | 13 | 2 | 5 | 0 | 222 | 347 | 417 | 764 | 194 | 220 | 10 | 13 | 325 | 106 | — | — | — | — | — | — |
| 2015 | 23 | AAA MLE | 2 teams | — | 671 | 603 | 185 | 39 | 0 | 9 | 46 | 114 | 17 | 7 | 9 | 307 | 379 | 416 | 795 | 109 | 354 | 17 | 7 | 340 | 116 | — | — | — | — | — | — |
| 2016 | 24 | AAA MLE | 2 teams | — | 539 | 469 | 151 | 23 | 0 | 14 | 56 | 72 | 9 | 5 | 4 | 322 | 408 | 461 | 868 | 139 | 347 | 13 | 10 | 382 | 145 | — | — | — | — | — | — |
| 2017 | 25 | AAA MLE | 2 teams | — | 598 | 516 | 133 | 33 | 0 | 15 | 63 | 81 | 14 | 13 | 2 | 258 | 354 | 409 | 763 | 151 | 275 | 14 | 11 | 337 | 114 | — | — | — | — | — | — |
| 2018 | 26 | INTL MLE | 3 teams | — | 323 | 283 | 64 | 10 | 2 | 11 | 28 | 68 | 9 | 2 | 2 | 226 | 318 | 392 | 710 | 166 | 254 | 21 | 9 | 320 | 103 | — | — | — | — | — | — |
| 2019 | 27 | AAA MLE | 2 teams | — | 473 | 417 | 84 | 23 | 0 | 20 | 45 | 141 | 8 | 3 | 2 | 201 | 293 | 400 | 693 | 199 | 242 | 30 | 10 | 297 | 87 | — | — | — | — | — | — |
| 2021 | 29 | AAA MLE | 3 teams | — | 478 | 413 | 92 | 27 | 1 | 17 | 52 | 121 | 10 | 9 | 1 | 223 | 326 | 416 | 742 | 194 | 272 | 25 | 11 | 324 | 105 | — | — | — | — | — | — |
| 2022 | 30 | AAA MLE | 3 teams | — | 278 | 242 | 48 | 5 | 0 | 3 | 26 | 73 | 8 | 1 | 2 | 198 | 298 | 256 | 554 | 58 | 263 | 26 | 9 | 263 | 64 | — | — | — | — | — | — |
| 2023 | 31 | AAA MLE | 2 teams | — | 566 | 496 | 92 | 20 | 0 | 7 | 56 | 109 | 9 | 9 | 3 | 185 | 280 | 268 | 548 | 83 | 217 | 19 | 10 | 246 | 53 | — | — | — | — | — | — |
| 2024 | 32 | INTL MLE | 2 teams | — | 446 | 393 | 51 | 8 | 0 | 6 | 41 | 143 | 9 | 4 | 2 | 130 | 230 | 196 | 426 | 66 | 178 | 32 | 9 | 200 | 22 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 32 | INTL MLE | 2 teams | — | 446 | 393 | 51 | 8 | 0 | 6 | 41 | 143 | 9 | 4 | 2 | 130 | 230 | 196 | 426 | 66 | 178 | 32 | 9 | 200 | 22 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 47 | 40 | 11 | 0 | 0 | 0 | 4 | 9 | 2 | 1 | 1 | 275 | 370 | 275 | 645 | 355 | 19 | 9 | 302 | 70 | -1 | -0 | +0 | +1 | +1 | 0.2 | ||
| / 162G | — | A+C | — | 650 | 553 | 152 | 0 | 0 | 0 | 55 | 124 | 28 | 14 | 14 | 275 | 369 | 275 | 644 | 354 | 19 | 8 | 302 | 70 | -7 | -3 | +3 | +14 | +14 | 2.2 | ||
| Career | — | MLE | — | 5423 | 4664 | 1110 | 237 | 9 | 122 | 564 | 1075 | 115 | 65 | 31 | 238 | 335 | 371 | 706 | 133 | 281 | 20 | 10 | 272 | 70 | -1 | -0 | +0 | +1 | +1 | 0.2 | |
| / 162G | — | MLE | — | 650 | 559 | 133 | 28 | 1 | 15 | 68 | 129 | 14 | 8 | 4 | 238 | 335 | 372 | 708 | 134 | 280 | 20 | 10 | 272 | 70 | -7 | -3 | +3 | +14 | +14 | 2.2 | |
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 AAALehigh Valley IronPigs · 190 PAwOBA .259 → .200 (−59)K% 27.4% → 32.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.37% | ÷1.022 | ×1.200 | — | — | 32.13% |
| BB% (unintentional) /PA | 14.21% | ÷1.021 | ×0.690 | — | ×0.952 | 9.14% |
| HBP% /PA | 1.58% | — | ×0.940 | — | ×0.952 | 1.41% |
| Singles /BIP | 16.04% | ÷0.985 | ×0.930 | ×1.007 | ×0.952 | 14.51% |
| Doubles /BIP | 3.77% | ÷0.960 | ×0.830 | ×1.007 | ×0.952 | 3.13% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.007 | ×0.952 | 0.00% |
| Home runs /BIP | 3.77% | ÷0.989 | ×0.700 | — | ×0.952 | 2.54% |
Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 97, 2B 92, 3B 130, K 104, BB 104 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .259 → .200; ISO .101 → .074; BABIP .202 → .178. 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 AAALehigh Valley IronPigs · 388 PAwOBA .318 → .246 (−72)K% 16.0% → 19.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.98% | ÷0.996 | ×1.200 | — | — | 19.26% |
| BB% (unintentional) /PA | 14.69% | ÷0.982 | ×0.690 | — | ×0.962 | 9.93% |
| HBP% /PA | 0.77% | — | ×0.940 | — | ×0.962 | 0.70% |
| Singles /BIP | 18.63% | ÷1.016 | ×0.930 | ×0.998 | ×0.962 | 16.37% |
| Doubles /BIP | 7.22% | ÷1.117 | ×0.830 | ×0.998 | ×0.962 | 5.15% |
| Triples /BIP | 0.00% | ÷1.105 | ×0.970 | ×0.998 | ×0.962 | 0.00% |
| Home runs /BIP | 2.66% | ÷1.028 | ×0.700 | — | ×0.962 | 1.74% |
Factors used: league row International League. Park (home-season share, regressed): HR 106, 1B 103, 2B 123, 3B 121, K 99, BB 96 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.
Result: wOBA .318 → .246; ISO .123 → .087; BABIP .263 → .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).
2022 AAAIowa Cubs · 148 PAwOBA .312 → .250 (−62)K% 23.6% → 28.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.65% | ÷0.988 | ×1.200 | — | — | 28.72% |
| BB% (unintentional) /PA | 14.86% | ÷1.048 | ×0.690 | — | ×0.972 | 9.52% |
| HBP% /PA | 2.70% | — | ×0.940 | — | ×0.972 | 2.47% |
| Singles /BIP | 21.69% | ÷0.985 | ×0.930 | ×0.977 | ×0.972 | 19.44% |
| Doubles /BIP | 4.82% | ÷0.967 | ×0.830 | ×0.977 | ×0.972 | 3.93% |
| Triples /BIP | 0.00% | ÷1.118 | ×0.970 | ×0.977 | ×0.972 | 0.00% |
| Home runs /BIP | 3.61% | ÷0.996 | ×0.700 | — | ×0.972 | 2.47% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.977.
Result: wOBA .312 → .250; ISO .110 → .084; BABIP .268 → .234. 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 AAADurham Bulls · 262 PAwOBA .398 → .313 (−85)K% 21.4% → 24.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.37% | ÷1.029 | ×1.200 | — | — | 24.93% |
| BB% (unintentional) /PA | 16.41% | ÷1.016 | ×0.690 | — | ×0.982 | 10.95% |
| HBP% /PA | 1.91% | — | ×0.940 | — | ×0.982 | 1.76% |
| Singles /BIP | 16.56% | ÷0.945 | ×0.930 | ×1.014 | ×0.982 | 16.23% |
| Doubles /BIP | 12.10% | ÷1.067 | ×0.830 | ×1.014 | ×0.982 | 9.37% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×1.014 | ×0.982 | 0.00% |
| Home runs /BIP | 7.64% | ÷1.059 | ×0.700 | — | ×0.982 | 4.96% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 89, 2B 113, 3B 130, K 106, BB 103 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.
Result: wOBA .398 → .313; ISO .258 → .186; BABIP .308 → .268. 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 ROKFCL Rays · 18 PAwOBA .663 → .480 (−183)K% 22.2% → 31.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.22% | ÷1.005 | ×1.440 | — | — | 31.83% |
| BB% (unintentional) /PA | 16.67% | ÷0.999 | ×0.620 | — | ×0.940 | 9.73% |
| HBP% /PA | 16.67% | — | ×0.720 | — | ×0.940 | 11.28% |
| Singles /BIP | 12.50% | ÷0.990 | ×0.820 | — | ×0.940 | 9.73% |
| Doubles /BIP | 12.50% | ÷1.006 | ×0.720 | — | ×0.940 | 8.41% |
| Triples /BIP | 12.50% | ÷1.065 | ×0.720 | — | ×0.940 | 7.95% |
| Home runs /BIP | 25.00% | ÷0.948 | ×0.780 | — | ×0.940 | 19.33% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 98, 2B 101, 3B 113, K 101, BB 100 — applied at half strength. Age: age 29 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (9.5 yr older than average).
Result: wOBA .663 → .480; ISO .750 → .582; BABIP .500 → .323. 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).
2019 AAAEl Paso Chihuahuas · 366 PAwOBA .392 → .297 (−96)K% 22.4% → 29.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.40% | ÷0.965 | ×1.290 | — | — | 29.94% |
| BB% (unintentional) /PA | 13.93% | ÷1.050 | ×0.710 | — | ×1.003 | 9.45% |
| HBP% /PA | 1.37% | — | ×0.980 | — | ×1.003 | 1.34% |
| Singles /BIP | 17.41% | ÷1.033 | ×0.900 | ×0.950 | ×1.003 | 14.45% |
| Doubles /BIP | 11.16% | ÷1.044 | ×0.810 | ×0.950 | ×1.003 | 8.25% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×0.950 | ×1.003 | 0.00% |
| Home runs /BIP | 8.48% | ÷0.950 | ×0.780 | — | ×1.003 | 6.98% |
Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 107, 2B 109, 3B 80, K 93, BB 110 — 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 .392 → .297; ISO .268 → .207; BABIP .309 → .242. 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 AAPortland Sea Dogs · 104 PAwOBA .425 → .336 (−89)K% 18.3% → 22.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.27% | ÷0.982 | ×1.220 | — | — | 22.70% |
| BB% (unintentional) /PA | 11.54% | ÷1.051 | ×0.700 | — | ×0.988 | 7.59% |
| HBP% /PA | 3.85% | — | ×0.850 | — | ×0.988 | 3.23% |
| Singles /BIP | 20.59% | ÷1.001 | ×0.970 | ×1.012 | ×0.988 | 19.95% |
| Doubles /BIP | 7.35% | ÷1.052 | ×0.860 | ×1.012 | ×0.988 | 6.01% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×1.012 | ×0.988 | 0.00% |
| Home runs /BIP | 10.29% | ÷1.166 | ×0.780 | — | ×0.988 | 6.80% |
Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 100, 2B 110, 3B 130, K 96, BB 110 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.012.
Result: wOBA .425 → .336; ISO .299 → .210; BABIP .311 → .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).
2018 ROKGCL Red Sox · 29 PAwOBA .349 → .264 (−85)K% 10.3% → 14.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.34% | ÷1.000 | ×1.440 | — | — | 14.90% |
| BB% (unintentional) /PA | 20.69% | ÷1.000 | ×0.620 | — | ×0.940 | 12.06% |
| HBP% /PA | 3.45% | — | ×0.720 | — | ×0.940 | 2.33% |
| Singles /BIP | 18.75% | ÷1.000 | ×0.820 | — | ×0.940 | 14.45% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.940 | 0.00% |
| Triples /BIP | 6.25% | ÷1.000 | ×0.720 | — | ×0.940 | 4.23% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.940 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).
Result: wOBA .349 → .264; ISO .105 → .091; BABIP .211 → .163. 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 — .