Ali Castillo
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 35 | INTLAguilas del Z… | 234 | .359/.401/.438 | 1 | 5 | 139 | — |
| 2025 | 36 | INTLAguilas del Z… | 222 | .338/.414/.446 | 4 | 0 | 146 | — |
| 2026 | 37 | INTLAguilas del Z… | 46 | .200/.217/.200 | 0 | 0 | 16 | — |
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 | 19 | ROK | DSL Yankees 1 | — | 279 | 243 | 70 | 10 | 4 | 1 | 27 | 25 | 7 | 8 | 10 | 288 | 375 | 374 | 750 | 86 | 318 | 9 | 10 | 341 | 44 | — | — | — | — | — | — |
| 2009 | 20 | ROK | DSL Yankees 1 | — | 212 | 185 | 59 | 13 | 9 | 1 | 24 | 14 | 1 | 10 | 1 | 319 | 400 | 503 | 903 | 184 | 337 | 7 | 11 | 393 | 65 | — | — | — | — | — | — |
| 2010 | 21 | ROK | DSL Yankees 2 | — | 175 | 144 | 48 | 7 | 5 | 1 | 21 | 10 | 3 | 9 | 5 | 333 | 429 | 472 | 901 | 139 | 343 | 6 | 12 | 387 | 72 | — | — | — | — | — | — |
| 2011 | 22 | ROK | DSL Yankees 1 | — | 15 | 14 | 4 | 1 | 0 | 0 | 0 | 3 | 1 | 3 | 1 | 286 | 333 | 357 | 690 | 71 | 364 | 20 | 0 | 316 | 15 | — | — | — | — | — | — |
| 2012 | 23 | A | Charleston RiverDogs | — | 325 | 283 | 87 | 20 | 1 | 5 | 27 | 33 | 8 | 17 | 13 | 307 | 384 | 438 | 822 | 131 | 332 | 10 | 8 | 362 | 95 | — | — | — | — | — | — |
| 2013 | 24 | AA | Trenton Thunder | — | 176 | 156 | 34 | 4 | 3 | 0 | 12 | 29 | 4 | 4 | 4 | 218 | 291 | 282 | 573 | 64 | 266 | 16 | 7 | 260 | 39 | — | — | — | — | — | — |
| 2013 | 24 | A+ | Tampa Yankees | — | 273 | 244 | 57 | 4 | 1 | 3 | 21 | 44 | 2 | 7 | 6 | 234 | 300 | 295 | 595 | 61 | 271 | 16 | 8 | 269 | 43 | — | — | — | — | — | — |
| 2013 | 24 | INTL | Aguilas del Zulia | — | 111 | 101 | 27 | 3 | 0 | 0 | 5 | 11 | 0 | 3 | 1 | 267 | 302 | 297 | 599 | 30 | 297 | 10 | 5 | 262 | 63 | — | — | — | — | — | — |
| 2014 | 25 | AA | Trenton Thunder | — | 460 | 410 | 104 | 18 | 3 | 2 | 36 | 45 | 3 | 17 | 5 | 254 | 318 | 327 | 645 | 73 | 280 | 10 | 8 | 289 | 63 | — | — | — | — | — | — |
| 2014 | 25 | INTL | Aguilas del Zulia | — | 261 | 233 | 71 | 10 | 4 | 2 | 14 | 34 | 3 | 16 | 6 | 305 | 352 | 408 | 760 | 103 | 343 | 13 | 5 | 326 | 107 | — | — | — | — | — | — |
| 2015 | 26 | AAA | Scranton/Wilkes-Barre RailRiders | — | 83 | 79 | 29 | 8 | 0 | 0 | 4 | 7 | 0 | 4 | 3 | 367 | 398 | 468 | 866 | 101 | 403 | 8 | 5 | 386 | 125 | — | — | — | — | — | — |
| 2015 | 26 | AA | Trenton Thunder | — | 297 | 268 | 72 | 5 | 0 | 2 | 21 | 33 | 1 | 25 | 9 | 269 | 324 | 310 | 634 | 41 | 295 | 11 | 7 | 285 | 63 | — | — | — | — | — | — |
| 2015 | 26 | INTL | Aguilas del Zulia | — | 115 | 103 | 31 | 6 | 0 | 1 | 6 | 11 | 1 | 1 | 2 | 301 | 345 | 388 | 734 | 87 | 326 | 10 | 5 | 317 | 101 | — | — | — | — | — | — |
| 2016 | 27 | AAA | Sacramento River Cats | — | 191 | 181 | 56 | 6 | 1 | 0 | 8 | 20 | 1 | 4 | 3 | 309 | 342 | 354 | 696 | 44 | 348 | 10 | 4 | 314 | 80 | — | — | — | — | — | — |
| 2016 | 27 | AA | Richmond Flying Squirrels | — | 220 | 199 | 63 | 9 | 3 | 0 | 12 | 24 | 3 | 6 | 4 | 317 | 364 | 392 | 756 | 75 | 354 | 11 | 5 | 332 | 88 | — | — | — | — | — | — |
| 2016 | 27 | INTL | Venezuela | — | 124 | 114 | 29 | 4 | 1 | 0 | 8 | 20 | 1 | 2 | 1 | 254 | 309 | 307 | 616 | 53 | 309 | 16 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2017 | 28 | AAA | Sacramento River Cats | — | 259 | 244 | 62 | 10 | 3 | 1 | 10 | 23 | 1 | 4 | 2 | 254 | 286 | 332 | 618 | 78 | 275 | 9 | 4 | 274 | 47 | — | — | — | — | — | — |
| 2017 | 28 | AA | Richmond Flying Squirrels | — | 110 | 101 | 30 | 3 | 0 | 0 | 6 | 9 | 1 | 1 | 2 | 297 | 343 | 327 | 669 | 30 | 319 | 8 | 5 | 302 | 70 | — | — | — | — | — | — |
| 2017 | 28 | INTL | Aguilas del Zulia | — | 134 | 125 | 51 | 8 | 1 | 0 | 4 | 16 | 1 | 4 | 0 | 408 | 431 | 488 | 919 | 80 | 459 | 12 | 3 | 399 | 156 | — | — | — | — | — | — |
| 2018 | 29 | AA | Richmond Flying Squirrels | — | 363 | 329 | 84 | 17 | 4 | 2 | 23 | 35 | 2 | 6 | 8 | 255 | 308 | 350 | 657 | 94 | 275 | 10 | 6 | 290 | 65 | — | — | — | — | — | — |
| 2018 | 29 | INTL | Venezuela | — | 279 | 261 | 86 | 10 | 3 | 3 | 13 | 23 | 3 | 10 | 4 | 330 | 368 | 425 | 794 | 96 | 353 | 8 | 5 | 353 | 125 | — | — | — | — | — | — |
| 2019 | 30 | AAA | Lehigh Valley IronPigs | — | 454 | 415 | 131 | 22 | 4 | 7 | 27 | 55 | 1 | 4 | 4 | 316 | 359 | 439 | 797 | 123 | 344 | 12 | 6 | 347 | 78 | — | — | — | — | — | — |
| 2019 | 30 | AA | Reading Fightin Phils | — | 60 | 51 | 19 | 5 | 1 | 1 | 7 | 10 | 0 | 2 | 2 | 373 | 448 | 569 | 1.017 | 196 | 450 | 17 | 12 | 431 | 131 | — | — | — | — | — | — |
| 2019 | 30 | INTL | Venezuela | — | 74 | 63 | 18 | 2 | 3 | 1 | 8 | 5 | 1 | 0 | 0 | 286 | 375 | 460 | 835 | 175 | 293 | 7 | 11 | 360 | 130 | — | — | — | — | — | — |
| 2020 | 31 | INTL | Venezuela | — | 171 | 154 | 62 | 5 | 1 | 1 | 14 | 8 | 2 | 1 | 2 | 403 | 459 | 468 | 926 | 65 | 418 | 5 | 8 | 416 | 168 | — | — | — | — | — | — |
| 2021 | 32 | AAA | Rochester Red Wings | — | 173 | 161 | 34 | 3 | 2 | 0 | 8 | 28 | 2 | 2 | 0 | 211 | 257 | 255 | 512 | 43 | 252 | 16 | 5 | 233 | 17 | — | — | — | — | — | — |
| 2021 | 32 | AA | Harrisburg Senators | — | 60 | 54 | 11 | 0 | 0 | 0 | 3 | 4 | 1 | 2 | 1 | 204 | 259 | 204 | 462 | 220 | 7 | 5 | 213 | 13 | — | — | — | — | — | — | |
| 2021 | 32 | INTL | Aguilas del Zulia | — | 206 | 188 | 59 | 7 | 1 | 2 | 15 | 13 | 1 | 3 | 2 | 314 | 368 | 394 | 761 | 80 | 329 | 6 | 7 | 341 | 117 | — | — | — | — | — | — |
| 2022 | 33 | AAA | Lehigh Valley IronPigs | — | 204 | 182 | 50 | 10 | 0 | 0 | 21 | 23 | 0 | 7 | 1 | 275 | 350 | 330 | 679 | 55 | 312 | 11 | 10 | 312 | 58 | — | — | — | — | — | — |
| 2022 | 33 | AA | Reading Fightin Phils | — | 184 | 170 | 43 | 4 | 0 | 0 | 8 | 23 | 1 | 3 | 2 | 253 | 291 | 276 | 567 | 24 | 283 | 12 | 4 | 254 | 35 | — | — | — | — | — | — |
| 2022 | 33 | INTL | Venezuela | — | 230 | 200 | 56 | 3 | 1 | 0 | 20 | 23 | 5 | 3 | 2 | 280 | 360 | 305 | 665 | 25 | 315 | 10 | 9 | 305 | 93 | — | — | — | — | — | — |
| 2023 | 34 | INTL | Aguilas del Zulia | — | 199 | 178 | 59 | 3 | 6 | 3 | 14 | 14 | 2 | 0 | 1 | 331 | 387 | 466 | 853 | 135 | 348 | 7 | 7 | 370 | 136 | — | — | — | — | — | — |
| 2024 | 35 | INTL | Aguilas del Zulia | — | 234 | 217 | 78 | 12 | 1 | 1 | 14 | 9 | 1 | 5 | 1 | 359 | 401 | 438 | 839 | 78 | 370 | 4 | 6 | 374 | 139 | — | — | — | — | — | — |
| 2025 | 36 | INTL | Aguilas del Zulia | — | 222 | 195 | 66 | 7 | 1 | 4 | 23 | 14 | 2 | 0 | 1 | 338 | 414 | 446 | 860 | 108 | 348 | 6 | 10 | 384 | 146 | — | — | — | — | — | — |
| 2026 | 37 | INTL | Aguilas del Zulia | — | 46 | 45 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 200 | 217 | 200 | 417 | 209 | 4 | 2 | 192 | 16 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2008 | 19 | ROK MLE | DSL Yankees 1 | — | 279 | 251 | 49 | 6 | 3 | 0 | 19 | 30 | 7 | 8 | 10 | 195 | 271 | 243 | 514 | 48 | 220 | 11 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2009 | 20 | ROK MLE | DSL Yankees 1 | — | 212 | 192 | 40 | 8 | 6 | 0 | 17 | 17 | 1 | 10 | 1 | 208 | 276 | 312 | 589 | 104 | 226 | 8 | 8 | 265 | 65 | — | — | — | — | — | — |
| 2010 | 21 | ROK MLE | DSL Yankees 2 | — | 175 | 151 | 36 | 5 | 3 | 1 | 14 | 12 | 3 | 9 | 5 | 238 | 315 | 331 | 647 | 93 | 231 | 7 | 8 | 274 | 72 | — | — | — | — | — | — |
| 2011 | 22 | ROK MLE | DSL Yankees 1 | — | 15 | 14 | 3 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 214 | 267 | 286 | 552 | 71 | 232 | 27 | 0 | 191 | 15 | — | — | — | — | — | — |
| 2012 | 23 | A MLE | Charleston RiverDogs | — | 325 | 293 | 83 | 17 | 1 | 4 | 17 | 46 | 8 | 17 | 13 | 283 | 340 | 389 | 729 | 106 | 308 | 14 | 5 | 308 | 95 | — | — | — | — | — | — |
| 2013 | 24 | AA MLE | Trenton Thunder | — | 176 | 160 | 33 | 3 | 3 | 0 | 8 | 35 | 4 | 4 | 4 | 206 | 262 | 263 | 524 | 56 | 250 | 20 | 5 | 226 | 39 | — | — | — | — | — | — |
| 2013 | 24 | A+ MLE | Tampa Yankees | — | 273 | 249 | 52 | 4 | 1 | 3 | 16 | 60 | 2 | 7 | 6 | 209 | 262 | 269 | 531 | 60 | 250 | 22 | 6 | 232 | 43 | — | — | — | — | — | — |
| 2014 | 25 | AA MLE | Trenton Thunder | — | 460 | 421 | 104 | 17 | 3 | 2 | 25 | 55 | 3 | 17 | 5 | 247 | 294 | 316 | 610 | 69 | 268 | 12 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2015 | 26 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 83 | 81 | 28 | 8 | 0 | 0 | 2 | 8 | 0 | 4 | 3 | 346 | 361 | 444 | 806 | 99 | 390 | 10 | 2 | 353 | 125 | — | — | — | — | — | — |
| 2015 | 26 | AA MLE | Trenton Thunder | — | 297 | 275 | 71 | 4 | 0 | 1 | 14 | 42 | 1 | 25 | 9 | 258 | 297 | 284 | 580 | 25 | 290 | 14 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2016 | 27 | AAA MLE | Sacramento River Cats | — | 191 | 184 | 54 | 5 | 1 | 0 | 5 | 25 | 1 | 4 | 3 | 293 | 316 | 332 | 647 | 38 | 339 | 13 | 3 | 286 | 80 | — | — | — | — | — | — |
| 2016 | 27 | AA MLE | Richmond Flying Squirrels | — | 220 | 204 | 61 | 8 | 3 | 0 | 7 | 30 | 3 | 6 | 4 | 299 | 332 | 368 | 699 | 69 | 331 | 14 | 3 | 299 | 88 | — | — | — | — | — | — |
| 2017 | 28 | AAA MLE | Sacramento River Cats | — | 259 | 246 | 57 | 9 | 3 | 1 | 8 | 30 | 1 | 4 | 2 | 232 | 259 | 305 | 564 | 73 | 249 | 12 | 3 | 238 | 47 | — | — | — | — | — | — |
| 2017 | 28 | AA MLE | Richmond Flying Squirrels | — | 110 | 103 | 28 | 2 | 0 | 0 | 4 | 12 | 1 | 1 | 2 | 272 | 306 | 291 | 597 | 19 | 297 | 11 | 4 | 271 | 70 | — | — | — | — | — | — |
| 2018 | 29 | AA MLE | Richmond Flying Squirrels | — | 363 | 337 | 82 | 16 | 3 | 2 | 15 | 44 | 2 | 6 | 8 | 243 | 280 | 326 | 606 | 83 | 263 | 12 | 4 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 30 | AAA MLE | Lehigh Valley IronPigs | — | 454 | 423 | 110 | 17 | 3 | 7 | 19 | 66 | 1 | 4 | 4 | 260 | 293 | 364 | 658 | 104 | 281 | 15 | 4 | 284 | 78 | — | — | — | — | — | — |
| 2019 | 30 | AA MLE | Reading Fightin Phils | — | 60 | 54 | 17 | 4 | 1 | 1 | 4 | 12 | 0 | 2 | 2 | 315 | 362 | 481 | 844 | 167 | 393 | 20 | 7 | 362 | 131 | — | — | — | — | — | — |
| 2021 | 32 | AAA MLE | Rochester Red Wings | — | 173 | 164 | 30 | 2 | 2 | 0 | 5 | 34 | 2 | 2 | 0 | 183 | 216 | 220 | 436 | 37 | 224 | 20 | 3 | 194 | 17 | — | — | — | — | — | — |
| 2021 | 32 | AA MLE | Harrisburg Senators | — | 60 | 55 | 11 | 0 | 0 | 0 | 2 | 5 | 1 | 2 | 1 | 200 | 241 | 200 | 441 | 202 | 8 | 3 | 188 | 13 | — | — | — | — | — | — | |
| 2022 | 33 | AAA MLE | Lehigh Valley IronPigs | — | 204 | 190 | 45 | 8 | 0 | 0 | 13 | 29 | 0 | 7 | 1 | 237 | 286 | 279 | 565 | 42 | 276 | 14 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2022 | 33 | AA MLE | Reading Fightin Phils | — | 184 | 173 | 39 | 4 | 0 | 0 | 5 | 28 | 1 | 3 | 2 | 225 | 251 | 249 | 500 | 23 | 249 | 15 | 3 | 220 | 35 | — | — | — | — | — | — |
| 2008 | 19 | ROK MLE | DSL Yankees 1 | — | 279 | 251 | 49 | 6 | 3 | 0 | 19 | 30 | 7 | 8 | 10 | 195 | 271 | 243 | 514 | 48 | 222 | 11 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2008 | 19 | ROK RAW | DSL Yankees 1 | — | 279 | 243 | 70 | 10 | 4 | 1 | 27 | 25 | 7 | 8 | 10 | 288 | 375 | 374 | 750 | 86 | 318 | 9 | 10 | 341 | 44 | — | — | — | — | — | — |
| 2009 | 20 | ROK MLE | DSL Yankees 1 | — | 212 | 192 | 40 | 8 | 6 | 0 | 17 | 17 | 1 | 10 | 1 | 208 | 276 | 312 | 589 | 104 | 226 | 8 | 8 | 265 | 65 | — | — | — | — | — | — |
| 2009 | 20 | ROK RAW | DSL Yankees 1 | — | 212 | 185 | 59 | 13 | 9 | 1 | 24 | 14 | 1 | 10 | 1 | 319 | 400 | 503 | 903 | 184 | 337 | 7 | 11 | 393 | 65 | — | — | — | — | — | — |
| 2010 | 21 | ROK MLE | DSL Yankees 2 | — | 175 | 151 | 36 | 5 | 3 | 1 | 14 | 12 | 3 | 9 | 5 | 238 | 315 | 331 | 647 | 93 | 246 | 7 | 8 | 274 | 72 | — | — | — | — | — | — |
| 2010 | 21 | ROK RAW | DSL Yankees 2 | — | 175 | 144 | 48 | 7 | 5 | 1 | 21 | 10 | 3 | 9 | 5 | 333 | 429 | 472 | 901 | 139 | 343 | 6 | 12 | 387 | 72 | — | — | — | — | — | — |
| 2011 | 22 | ROK MLE | DSL Yankees 1 | — | 15 | 14 | 3 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 214 | 267 | 286 | 552 | 71 | 300 | 27 | 0 | 191 | 15 | — | — | — | — | — | — |
| 2011 | 22 | ROK RAW | DSL Yankees 1 | — | 15 | 14 | 4 | 1 | 0 | 0 | 0 | 3 | 1 | 3 | 1 | 286 | 333 | 357 | 690 | 71 | 364 | 20 | 0 | 316 | 15 | — | — | — | — | — | — |
| 2012 | 23 | A MLE | Charleston RiverDogs | — | 325 | 293 | 83 | 17 | 1 | 4 | 17 | 46 | 8 | 17 | 13 | 283 | 340 | 389 | 729 | 106 | 322 | 14 | 5 | 308 | 95 | — | — | — | — | — | — |
| 2012 | 23 | A RAW | Charleston RiverDogs | — | 325 | 283 | 87 | 20 | 1 | 5 | 27 | 33 | 8 | 17 | 13 | 307 | 384 | 438 | 822 | 131 | 332 | 10 | 8 | 362 | 95 | — | — | — | — | — | — |
| 2013 | 24 | A+ MLE | 3 teams | — | 560 | 508 | 104 | 8 | 4 | 3 | 31 | 119 | 6 | 14 | 11 | 205 | 259 | 254 | 513 | 49 | 259 | 21 | 6 | 230 | 42 | — | — | — | — | — | — |
| 2013 | 24 | A+ RAW | 3 teams | — | 560 | 501 | 118 | 11 | 4 | 3 | 38 | 84 | 6 | 14 | 11 | 236 | 297 | 291 | 589 | 56 | 275 | 15 | 7 | 265 | 42 | — | — | — | — | — | — |
| 2014 | 25 | AA MLE | 2 teams | — | 721 | 654 | 161 | 26 | 4 | 3 | 39 | 87 | 6 | 33 | 11 | 246 | 295 | 312 | 607 | 66 | 278 | 12 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2014 | 25 | AA RAW | 2 teams | — | 721 | 643 | 175 | 28 | 7 | 4 | 50 | 79 | 6 | 33 | 11 | 272 | 330 | 356 | 687 | 84 | 303 | 11 | 7 | 302 | 63 | — | — | — | — | — | — |
| 2015 | 26 | AA MLE | 3 teams | — | 495 | 460 | 130 | 16 | 0 | 2 | 21 | 66 | 2 | 30 | 14 | 283 | 317 | 330 | 647 | 48 | 322 | 13 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2015 | 26 | AA RAW | 3 teams | — | 495 | 450 | 132 | 19 | 0 | 3 | 31 | 51 | 2 | 30 | 14 | 293 | 342 | 356 | 697 | 62 | 322 | 10 | 6 | 310 | 76 | — | — | — | — | — | — |
| 2016 | 27 | AA MLE | 3 teams | — | 535 | 507 | 149 | 17 | 4 | 0 | 15 | 72 | 5 | 12 | 8 | 294 | 321 | 343 | 664 | 49 | 340 | 13 | 3 | 293 | 84 | — | — | — | — | — | — |
| 2016 | 27 | AA RAW | 3 teams | — | 535 | 494 | 148 | 19 | 5 | 0 | 28 | 64 | 5 | 12 | 8 | 300 | 343 | 358 | 702 | 59 | 342 | 12 | 5 | 314 | 84 | — | — | — | — | — | — |
| 2017 | 28 | AAA MLE | 3 teams | — | 503 | 474 | 115 | 15 | 4 | 1 | 16 | 57 | 3 | 9 | 4 | 243 | 272 | 297 | 569 | 55 | 270 | 11 | 3 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 28 | AAA RAW | 3 teams | — | 503 | 470 | 143 | 21 | 4 | 1 | 20 | 48 | 3 | 9 | 4 | 304 | 337 | 372 | 709 | 68 | 333 | 10 | 4 | 313 | 54 | — | — | — | — | — | — |
| 2018 | 29 | AA MLE | 2 teams | — | 642 | 600 | 145 | 28 | 6 | 3 | 26 | 78 | 5 | 16 | 12 | 242 | 279 | 323 | 602 | 82 | 270 | 12 | 4 | 264 | 65 | — | — | — | — | — | — |
| 2018 | 29 | AA RAW | 2 teams | — | 642 | 590 | 170 | 27 | 7 | 5 | 36 | 58 | 5 | 16 | 12 | 288 | 334 | 383 | 717 | 95 | 310 | 9 | 6 | 317 | 65 | — | — | — | — | — | — |
| 2019 | 30 | AAA MLE | 3 teams | — | 588 | 545 | 145 | 24 | 5 | 8 | 26 | 89 | 2 | 6 | 6 | 266 | 302 | 372 | 674 | 106 | 300 | 15 | 4 | 293 | 85 | — | — | — | — | — | — |
| 2019 | 30 | AAA RAW | 3 teams | — | 588 | 529 | 168 | 29 | 8 | 9 | 42 | 70 | 2 | 6 | 6 | 318 | 370 | 454 | 824 | 136 | 347 | 12 | 7 | 357 | 85 | — | — | — | — | — | — |
| 2020 | 31 | INTL MLE | Venezuela | — | 171 | 154 | 62 | 5 | 1 | 1 | 14 | 8 | 2 | 1 | 2 | 403 | 459 | 468 | 926 | 65 | 418 | 5 | 8 | — | — | — | — | — | — | — | — |
| 2020 | 31 | INTL RAW | Venezuela | — | 171 | 154 | 62 | 5 | 1 | 1 | 14 | 8 | 2 | 1 | 2 | 403 | 459 | 468 | 926 | 65 | 418 | 5 | 8 | 416 | 168 | — | — | — | — | — | — |
| 2021 | 32 | INTL MLE | 3 teams | — | 439 | 415 | 76 | 4 | 3 | 0 | 14 | 74 | 4 | 7 | 3 | 183 | 217 | 207 | 424 | 24 | 222 | 17 | 3 | 192 | 16 | — | — | — | — | — | — |
| 2021 | 32 | INTL RAW | 3 teams | — | 439 | 403 | 104 | 10 | 3 | 2 | 26 | 45 | 4 | 7 | 3 | 258 | 309 | 313 | 622 | 55 | 285 | 10 | 6 | 281 | 16 | — | — | — | — | — | — |
| 2022 | 33 | INTL MLE | 3 teams | — | 618 | 573 | 134 | 19 | 0 | 0 | 28 | 90 | 6 | 13 | 5 | 234 | 277 | 267 | 544 | 33 | 273 | 15 | 5 | 238 | 47 | — | — | — | — | — | — |
| 2022 | 33 | INTL RAW | 3 teams | — | 618 | 552 | 149 | 17 | 1 | 0 | 49 | 69 | 6 | 13 | 5 | 270 | 336 | 304 | 640 | 34 | 304 | 11 | 8 | 292 | 47 | — | — | — | — | — | — |
| 2023 | 34 | INTL MLE | Aguilas del Zulia | — | 199 | 178 | 59 | 3 | 6 | 3 | 14 | 14 | 2 | 0 | 1 | 331 | 387 | 466 | 853 | 135 | 348 | 7 | 7 | — | — | — | — | — | — | — | — |
| 2023 | 34 | INTL RAW | Aguilas del Zulia | — | 199 | 178 | 59 | 3 | 6 | 3 | 14 | 14 | 2 | 0 | 1 | 331 | 387 | 466 | 853 | 135 | 348 | 7 | 7 | 370 | 136 | — | — | — | — | — | — |
| 2024 | 35 | INTL MLE | Aguilas del Zulia | — | 234 | 217 | 78 | 12 | 1 | 1 | 14 | 9 | 1 | 5 | 1 | 359 | 401 | 438 | 839 | 78 | 370 | 4 | 6 | — | — | — | — | — | — | — | — |
| 2024 | 35 | INTL RAW | Aguilas del Zulia | — | 234 | 217 | 78 | 12 | 1 | 1 | 14 | 9 | 1 | 5 | 1 | 359 | 401 | 438 | 839 | 78 | 370 | 4 | 6 | 374 | 139 | — | — | — | — | — | — |
| 2025 | 36 | INTL MLE | Aguilas del Zulia | — | 222 | 195 | 66 | 7 | 1 | 4 | 23 | 14 | 2 | 0 | 1 | 338 | 414 | 446 | 860 | 108 | 348 | 6 | 10 | — | — | — | — | — | — | — | — |
| 2025 | 36 | INTL RAW | Aguilas del Zulia | — | 222 | 195 | 66 | 7 | 1 | 4 | 23 | 14 | 2 | 0 | 1 | 338 | 414 | 446 | 860 | 108 | 348 | 6 | 10 | 384 | 146 | — | — | — | — | — | — |
| 2026 | 37 | INTL MLE | Aguilas del Zulia | — | 46 | 45 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 200 | 217 | 200 | 417 | 209 | 4 | 2 | — | — | — | — | — | — | — | — | |
| 2026 | 37 | INTL RAW | Aguilas del Zulia | — | 46 | 45 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 200 | 217 | 200 | 417 | 209 | 4 | 2 | 192 | 16 | — | — | — | — | — | — | |
| 2008 | 19 | ROK MLE | DSL Yankees 1 | — | 279 | 251 | 49 | 6 | 3 | 0 | 19 | 30 | 7 | 8 | 10 | 195 | 271 | 243 | 514 | 48 | 220 | 11 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2009 | 20 | ROK MLE | DSL Yankees 1 | — | 212 | 192 | 40 | 8 | 6 | 0 | 17 | 17 | 1 | 10 | 1 | 208 | 276 | 312 | 589 | 104 | 226 | 8 | 8 | 265 | 65 | — | — | — | — | — | — |
| 2010 | 21 | ROK MLE | DSL Yankees 2 | — | 175 | 156 | 36 | 5 | 3 | 1 | 14 | 12 | 3 | 9 | 5 | 231 | 315 | 321 | 636 | 90 | 231 | 7 | 8 | 274 | 72 | — | — | — | — | — | — |
| 2011 | 22 | ROK MLE | DSL Yankees 1 | — | 15 | 14 | 3 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 214 | 267 | 286 | 552 | 71 | 232 | 27 | 0 | 191 | 15 | — | — | — | — | — | — |
| 2012 | 23 | A MLE | Charleston RiverDogs | — | 325 | 297 | 83 | 17 | 1 | 4 | 17 | 46 | 8 | 17 | 13 | 279 | 340 | 384 | 723 | 104 | 308 | 14 | 5 | 308 | 95 | — | — | — | — | — | — |
| 2013 | 24 | A+ MLE | 3 teams | — | 560 | 518 | 104 | 8 | 4 | 3 | 31 | 119 | 6 | 14 | 11 | 201 | 259 | 249 | 508 | 48 | 250 | 21 | 6 | 230 | 42 | — | — | — | — | — | — |
| 2014 | 25 | AA MLE | 2 teams | — | 721 | 670 | 161 | 26 | 4 | 3 | 39 | 87 | 6 | 33 | 11 | 240 | 295 | 304 | 599 | 64 | 268 | 12 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2015 | 26 | AA MLE | 3 teams | — | 495 | 469 | 130 | 16 | 0 | 2 | 21 | 66 | 2 | 30 | 14 | 277 | 317 | 324 | 641 | 47 | 312 | 13 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2016 | 27 | AA MLE | 3 teams | — | 535 | 510 | 149 | 17 | 4 | 0 | 15 | 72 | 5 | 12 | 8 | 292 | 321 | 341 | 662 | 49 | 335 | 13 | 3 | 293 | 84 | — | — | — | — | — | — |
| 2017 | 28 | AAA MLE | 3 teams | — | 503 | 479 | 115 | 15 | 4 | 1 | 16 | 57 | 3 | 9 | 4 | 240 | 272 | 294 | 566 | 54 | 263 | 11 | 3 | 248 | 54 | — | — | — | — | — | — |
| 2018 | 29 | AA MLE | 2 teams | — | 642 | 606 | 145 | 28 | 6 | 3 | 26 | 78 | 5 | 16 | 12 | 239 | 279 | 320 | 599 | 81 | 263 | 12 | 4 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 30 | AAA MLE | 3 teams | — | 588 | 555 | 145 | 24 | 5 | 8 | 26 | 89 | 2 | 6 | 6 | 261 | 302 | 366 | 668 | 105 | 294 | 15 | 4 | 293 | 85 | — | — | — | — | — | — |
| 2021 | 32 | INTL MLE | 3 teams | — | 439 | 418 | 76 | 4 | 3 | 0 | 14 | 74 | 4 | 7 | 3 | 182 | 217 | 206 | 423 | 24 | 218 | 17 | 3 | 192 | 16 | — | — | — | — | — | — |
| 2022 | 33 | INTL MLE | 3 teams | — | 618 | 579 | 134 | 19 | 0 | 0 | 28 | 90 | 6 | 13 | 5 | 231 | 277 | 264 | 541 | 33 | 263 | 15 | 5 | 238 | 47 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 6979 | 6426 | 1644 | 221 | 52 | 34 | 349 | 888 | 66 | 193 | 109 | 256 | 301 | 322 | 623 | 66 | 290 | 13 | 5 | 227 | 40 | -501 | -5 | +0 | +75 | +151 | -28.6 | |
| / 162G | — | MLE | — | 650 | 598 | 154 | 21 | 5 | 3 | 33 | 83 | 6 | 18 | 10 | 258 | 303 | 324 | 627 | 67 | 292 | 13 | 5 | 227 | 40 | -47 | -0 | +0 | +7 | +14 | -2.7 | |
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.
2022 AAALehigh Valley IronPigs · 204 PAwOBA .306 → .254 (−52)K% 11.3% → 14.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.27% | ÷0.970 | ×1.200 | — | — | 13.95% |
| BB% (unintentional) /PA | 10.29% | ÷1.067 | ×0.690 | — | ×0.942 | 6.27% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.942 | 0.00% |
| Singles /BIP | 25.16% | ÷1.007 | ×0.930 | ×1.039 | ×0.942 | 22.75% |
| Doubles /BIP | 6.29% | ÷1.018 | ×0.830 | ×1.039 | ×0.942 | 5.02% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×1.039 | ×0.942 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.039 | ×0.700 | — | ×0.942 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 108, 1B 101, 2B 104, 3B 80, K 94, BB 113 — 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 ×1.039.
Result: wOBA .306 → .254; ISO .055 → .045; BABIP .312 → .276. 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 AAReading Fightin Phils · 184 PAwOBA .254 → .220 (−35)K% 12.5% → 15.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.50% | ÷1.005 | ×1.220 | — | — | 15.18% |
| BB% (unintentional) /PA | 4.35% | ÷1.052 | ×0.700 | — | ×0.940 | 2.72% |
| HBP% /PA | 0.54% | — | ×0.850 | — | ×0.940 | 0.43% |
| Singles /BIP | 26.53% | ÷1.069 | ×0.970 | ×1.028 | ×0.940 | 23.26% |
| Doubles /BIP | 2.72% | ÷0.930 | ×0.860 | ×1.028 | ×0.940 | 2.43% |
| Triples /BIP | 0.00% | ÷0.950 | ×0.950 | ×1.028 | ×0.940 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.051 | ×0.780 | — | ×0.940 | 0.00% |
Factors used: league row EL. Park (home-season share, regressed): HR 110, 1B 114, 2B 86, 3B 90, K 101, BB 110 — applied at half strength. Age: age 33 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (8.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.028.
Result: wOBA .254 → .220; ISO .024 → .021; BABIP .283 → .249. 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 AAARochester Red Wings · 173 PAwOBA .230 → .194 (−36)K% 16.2% → 19.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.18% | ÷0.979 | ×1.200 | — | — | 19.83% |
| BB% (unintentional) /PA | 4.62% | ÷1.014 | ×0.690 | — | ×0.952 | 2.99% |
| HBP% /PA | 1.16% | — | ×0.940 | — | ×0.952 | 1.03% |
| Singles /BIP | 21.80% | ÷0.994 | ×0.930 | ×1.019 | ×0.952 | 19.78% |
| Doubles /BIP | 2.26% | ÷1.005 | ×0.830 | ×1.019 | ×0.952 | 1.81% |
| Triples /BIP | 1.50% | ÷1.150 | ×0.920 | ×1.019 | ×0.952 | 1.17% |
| Home runs /BIP | 0.00% | ÷0.968 | ×0.700 | — | ×0.952 | 0.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 99, 2B 101, 3B 130, K 96, BB 103 — 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 ×1.019.
Result: wOBA .230 → .194; ISO .043 → .034; BABIP .252 → .224. 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 AAHarrisburg Senators · 60 PAwOBA .208 → .188 (−20)K% 6.7% → 8.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 6.67% | ÷0.980 | ×1.220 | — | — | 8.30% |
| BB% (unintentional) /PA | 5.00% | ÷0.948 | ×0.690 | — | ×0.940 | 3.42% |
| HBP% /PA | 1.67% | — | ×0.850 | — | ×0.940 | 1.33% |
| Singles /BIP | 22.00% | ÷0.967 | ×0.940 | ×1.007 | ×0.940 | 20.25% |
| Doubles /BIP | 0.00% | ÷1.055 | ×0.870 | ×1.007 | ×0.940 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×1.007 | ×0.940 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.037 | ×0.780 | — | ×0.940 | 0.00% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 93, 2B 111, 3B 130, K 96, BB 90 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .208 → .188; ISO .000 → .000; BABIP .220 → .202. 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 AAALehigh Valley IronPigs · 454 PAwOBA .343 → .284 (−59)K% 12.1% → 14.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.11% | ÷0.999 | ×1.200 | — | — | 14.55% |
| BB% (unintentional) /PA | 5.95% | ÷0.948 | ×0.690 | — | ×0.972 | 4.21% |
| HBP% /PA | 0.22% | — | ×0.940 | — | ×0.972 | 0.20% |
| Singles /BIP | 27.22% | ÷1.032 | ×0.930 | ×0.950 | ×0.972 | 22.65% |
| Doubles /BIP | 6.11% | ÷1.033 | ×0.830 | ×0.950 | ×0.972 | 4.53% |
| Triples /BIP | 1.11% | ÷1.061 | ×0.970 | ×0.950 | ×0.972 | 0.94% |
| Home runs /BIP | 1.94% | ÷0.866 | ×0.840 | — | ×0.972 | 1.83% |
Factors used: league row IL. Park (home-season share, regressed): HR 73, 1B 106, 2B 107, 3B 112, K 100, BB 90 — 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 ×0.950.
Result: wOBA .343 → .284; ISO .123 → .106; BABIP .344 → .281. 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 AAReading Fightin Phils · 60 PAwOBA .415 → .362 (−54)K% 16.7% → 20.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.995 | ×1.220 | — | — | 20.44% |
| BB% (unintentional) /PA | 10.00% | ÷0.978 | ×0.700 | — | ×0.948 | 6.78% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.948 | 0.00% |
| Singles /BIP | 29.27% | ÷1.023 | ×0.970 | — | ×0.948 | 26.30% |
| Doubles /BIP | 12.20% | ÷0.980 | ×0.860 | — | ×0.948 | 10.14% |
| Triples /BIP | 2.44% | ÷0.959 | ×0.950 | — | ×0.948 | 2.29% |
| Home runs /BIP | 2.44% | ÷1.182 | ×0.780 | — | ×0.948 | 1.53% |
Factors used: league row EL. Park (home-season share, regressed): HR 136, 1B 105, 2B 96, 3B 92, K 99, BB 96 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average).
Result: wOBA .415 → .362; ISO .196 → .165; BABIP .450 → .393. 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 AARichmond Flying Squirrels · 363 PAwOBA .286 → .264 (−21)K% 9.6% → 12.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.64% | ÷0.975 | ×1.220 | — | — | 12.06% |
| BB% (unintentional) /PA | 6.06% | ÷0.983 | ×0.700 | — | ×0.958 | 4.13% |
| HBP% /PA | 0.55% | — | ×0.850 | — | ×0.958 | 0.45% |
| Singles /BIP | 20.75% | ÷0.995 | ×0.970 | ×1.045 | ×0.958 | 20.25% |
| Doubles /BIP | 5.78% | ÷0.949 | ×0.860 | ×1.045 | ×0.958 | 5.25% |
| Triples /BIP | 1.36% | ÷1.150 | ×0.950 | ×1.045 | ×0.958 | 1.13% |
| Home runs /BIP | 0.68% | ÷0.869 | ×0.780 | — | ×0.958 | 0.58% |
Factors used: league row EL. Park (home-season share, regressed): HR 74, 1B 99, 2B 90, 3B 130, K 95, BB 97 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.
Result: wOBA .286 → .264; ISO .094 → .085; BABIP .275 → .263. 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 AAASacramento River Cats · 259 PAwOBA .269 → .238 (−31)K% 8.9% → 11.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 8.88% | ÷0.989 | ×1.290 | — | — | 11.58% |
| BB% (unintentional) /PA | 3.86% | ÷0.952 | ×0.710 | — | ×0.992 | 2.86% |
| HBP% /PA | 0.39% | — | ×0.980 | — | ×0.992 | 0.38% |
| Singles /BIP | 21.72% | ÷1.027 | ×0.900 | ×1.050 | ×0.992 | 19.83% |
| Doubles /BIP | 4.52% | ÷0.975 | ×0.810 | ×1.050 | ×0.992 | 3.92% |
| Triples /BIP | 1.36% | ÷0.920 | ×0.810 | ×1.050 | ×0.992 | 1.25% |
| Home runs /BIP | 0.45% | ÷0.889 | ×0.780 | — | ×0.992 | 0.39% |
Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .269 → .238; ISO .078 → .069; BABIP .275 → .249. 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 — .