Hernán Pérez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 33 | AAA/INTL2 orgs | 401 | .214/.288/.375 | 12 | 13 | 44 | — | .173/.218/.295 |
| 2025 | 34 | INTLCaribes de An… | 263 | .313/.391/.480 | 9 | 10 | 141 | — | |
| 2026 | 35 | INTLCaribes de An… | 66 | .298/.365/.632 | 5 | 1 | 163 | — |
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 | VSL Tigers | — | 291 | 265 | 60 | 8 | 4 | 1 | 16 | 35 | 4 | 4 | 4 | 226 | 281 | 298 | 579 | 72 | 254 | 12 | 5 | 259 | 7 | — | — | — | — | — | — |
| 2009 | 18 | A+ | Lakeland Flying Tigers | — | 77 | 72 | 19 | 4 | 1 | 0 | 3 | 21 | 0 | 0 | 0 | 264 | 293 | 347 | 641 | 83 | 365 | 27 | 4 | 279 | 47 | — | — | — | — | — | — |
| 2009 | 18 | A | West Michigan Whitecaps | — | 45 | 44 | 10 | 0 | 1 | 0 | 0 | 8 | 0 | 2 | 1 | 227 | 227 | 273 | 500 | 45 | 278 | 18 | 0 | 217 | 17 | — | — | — | — | — | — |
| 2009 | 18 | ROK | GCL Tigers | — | 86 | 81 | 18 | 9 | 1 | 1 | 3 | 14 | 1 | 2 | 0 | 222 | 259 | 395 | 654 | 173 | 258 | 16 | 3 | 284 | 19 | — | — | — | — | — | — |
| 2010 | 19 | A | West Michigan Whitecaps | — | 507 | 473 | 111 | 15 | 0 | 5 | 25 | 98 | 2 | 5 | 1 | 235 | 276 | 298 | 574 | 63 | 283 | 19 | 5 | 258 | 26 | — | — | — | — | — | — |
| 2011 | 20 | A | West Michigan Whitecaps | — | 566 | 503 | 130 | 23 | 3 | 8 | 38 | 87 | 6 | 23 | 6 | 258 | 318 | 364 | 682 | 105 | 293 | 15 | 7 | 298 | 56 | — | — | — | — | — | — |
| 2011 | 20 | INTL | Leones del Caracas | — | 69 | 66 | 20 | 6 | 0 | 0 | 2 | 9 | 0 | 2 | 0 | 303 | 324 | 394 | 717 | 91 | 345 | 13 | 3 | 315 | 100 | — | — | — | — | — | — |
| 2012 | 21 | A+ | Lakeland Flying Tigers | — | 475 | 437 | 113 | 11 | 4 | 5 | 24 | 69 | 2 | 27 | 4 | 259 | 300 | 336 | 637 | 78 | 293 | 15 | 5 | 281 | 44 | — | — | — | — | — | — |
| 2012 | 21 | INTL | Leones del Caracas | — | 98 | 90 | 20 | 2 | 1 | 0 | 2 | 11 | 1 | 3 | 1 | 222 | 247 | 267 | 514 | 44 | 253 | 11 | 2 | 221 | 36 | — | — | — | — | — | — |
| 2013 | 22 | MLB | Detroit Tigers | — | 71 | 66 | 13 | 0 | 1 | 0 | 2 | 15 | 0 | 1 | 0 | 197 | 221 | 227 | 448 | 30 | 250 | 21 | 3 | 195 | 20 | -7 | +0 | +1 | +2 | +2 | -0.2 |
| 2013 | 22 | AAA | Toledo Mud Hens | — | 74 | 67 | 20 | 3 | 0 | 0 | 5 | 7 | 1 | 4 | 0 | 299 | 356 | 343 | 699 | 45 | 333 | 9 | 7 | 317 | 87 | — | — | — | — | — | — |
| 2013 | 22 | AA | Erie SeaWolves | — | 384 | 362 | 109 | 28 | 2 | 4 | 12 | 48 | 2 | 24 | 7 | 301 | 327 | 423 | 750 | 122 | 335 | 12 | 3 | 326 | 91 | — | — | — | — | — | — |
| 2013 | 22 | INTL | Aguilas del Zulia | — | 130 | 117 | 31 | 6 | 0 | 0 | 8 | 19 | 0 | 5 | 2 | 265 | 312 | 316 | 628 | 51 | 316 | 15 | 6 | 276 | 73 | — | — | — | — | — | — |
| 2014 | 23 | AAA | Toledo Mud Hens | — | 596 | 547 | 157 | 32 | 7 | 6 | 36 | 65 | 2 | 21 | 6 | 287 | 333 | 404 | 737 | 117 | 315 | 11 | 6 | 324 | 82 | — | — | — | — | — | — |
| 2014 | 23 | INTL | Aguilas del Zulia | — | 51 | 50 | 10 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 200 | 200 | 200 | 400 | 256 | 22 | 0 | 177 | 6 | — | — | — | — | — | — | |
| 2015 | 24 | MLB | Milwaukee Brewers | — | 272 | 263 | 64 | 15 | 2 | 1 | 5 | 59 | 0 | 5 | 1 | 243 | 257 | 327 | 584 | 84 | 309 | 22 | 2 | 256 | 62 | -12 | +1 | +3 | +2 | +6 | -0.1 |
| 2015 | 24 | INTL | Venezuela | — | 269 | 253 | 78 | 9 | 5 | 9 | 9 | 27 | 2 | 11 | 3 | 308 | 337 | 490 | 827 | 182 | 317 | 10 | 3 | 356 | 127 | — | — | — | — | — | — |
| 2016 | 25 | MLB | Milwaukee Brewers | — | 430 | 404 | 110 | 18 | 3 | 13 | 18 | 94 | 1 | 34 | 7 | 272 | 305 | 428 | 733 | 156 | 322 | 22 | 4 | 319 | 103 | +2 | +4 | +2 | +2 | +9 | 1.9 |
| 2016 | 25 | AAA | Colorado Springs Sky Sox | — | 67 | 62 | 21 | 4 | 1 | 1 | 3 | 10 | 0 | 2 | 0 | 339 | 369 | 484 | 853 | 145 | 385 | 15 | 4 | 366 | 80 | — | — | — | — | — | — |
| 2016 | 25 | INTL | Tigres de Aragua | — | 177 | 169 | 63 | 9 | 2 | 3 | 6 | 20 | 0 | 7 | 1 | 373 | 394 | 503 | 897 | 130 | 408 | 11 | 3 | 393 | 152 | — | — | — | — | — | — |
| 2017 | 26 | MLB | Milwaukee Brewers | — | 458 | 432 | 112 | 19 | 3 | 14 | 20 | 79 | 0 | 13 | 4 | 259 | 292 | 414 | 706 | 155 | 286 | 17 | 4 | 308 | 95 | -3 | +1 | +4 | -5 | +10 | 0.7 |
| 2017 | 26 | INTL | Tigres de Aragua | — | 21 | 18 | 3 | 1 | 0 | 1 | 2 | 3 | 0 | 2 | 0 | 167 | 250 | 389 | 639 | 222 | 133 | 14 | 10 | 270 | 69 | — | — | — | — | — | — |
| 2018 | 27 | MLB | Milwaukee Brewers | — | 334 | 316 | 80 | 11 | 2 | 9 | 17 | 71 | 0 | 11 | 3 | 253 | 291 | 386 | 677 | 133 | 300 | 21 | 5 | 301 | 89 | -4 | +1 | +2 | +1 | +7 | 0.8 |
| 2019 | 28 | MLB | Milwaukee Brewers | — | 246 | 232 | 53 | 11 | 0 | 8 | 11 | 66 | 0 | 5 | 1 | 228 | 263 | 379 | 643 | 151 | 283 | 27 | 4 | 281 | 77 | -7 | +1 | -1 | +1 | +5 | -0.0 |
| 2019 | 28 | AAA | San Antonio Missions | — | 121 | 107 | 31 | 10 | 0 | 5 | 14 | 23 | 0 | 6 | 0 | 290 | 372 | 523 | 895 | 234 | 329 | 19 | 12 | 392 | 80 | — | — | — | — | — | — |
| 2020 | 29 | INTL | Tigres de Aragua | — | 122 | 102 | 41 | 8 | 0 | 5 | 20 | 22 | 0 | 8 | 0 | 402 | 500 | 627 | 1.127 | 225 | 480 | 18 | 16 | 492 | 219 | — | — | — | — | — | — |
| 2021 | 30 | MLB | Washington Nationals | — | 21 | 19 | 1 | 0 | 0 | 0 | 2 | 10 | 0 | 0 | 0 | 53 | 143 | 53 | 195 | 111 | 48 | 10 | 110 | -40 | -3 | +0 | -0 | +1 | +0 | -0.2 | |
| 2021 | 30 | AAA | Nashville Sounds | — | 91 | 84 | 30 | 6 | 0 | 3 | 6 | 16 | 0 | 4 | 1 | 357 | 400 | 536 | 936 | 179 | 409 | 18 | 7 | 408 | 111 | — | — | — | — | — | — |
| 2021 | 30 | INTL | Tigres de Aragua | — | 147 | 132 | 39 | 5 | 0 | 6 | 12 | 24 | 1 | 1 | 1 | 295 | 359 | 470 | 828 | 174 | 317 | 16 | 8 | 363 | 132 | — | — | — | — | — | — |
| 2022 | 31 | AAA | Gwinnett Stripers | — | 353 | 323 | 87 | 15 | 1 | 9 | 22 | 74 | 3 | 20 | 3 | 269 | 321 | 406 | 726 | 136 | 320 | 21 | 6 | 321 | 55 | — | — | — | — | — | — |
| 2022 | 31 | INTL | Venezuela | — | 244 | 210 | 62 | 14 | 1 | 7 | 27 | 27 | 1 | 7 | 2 | 295 | 378 | 471 | 850 | 176 | 302 | 11 | 11 | 369 | 136 | — | — | — | — | — | — |
| 2023 | 32 | AAA | St. Paul Saints | — | 231 | 204 | 57 | 8 | 2 | 10 | 23 | 48 | 1 | 9 | 4 | 279 | 355 | 485 | 841 | 206 | 315 | 21 | 10 | 366 | 78 | — | — | — | — | — | — |
| 2023 | 32 | A | Fort Myers Mighty Mussels | — | 24 | 17 | 4 | 1 | 0 | 0 | 6 | 6 | 0 | 2 | 0 | 235 | 435 | 294 | 729 | 59 | 333 | 25 | 25 | 341 | 68 | — | — | — | — | — | — |
| 2023 | 32 | INTL | Venezuela | — | 213 | 176 | 51 | 12 | 2 | 4 | 27 | 31 | 4 | 15 | 4 | 290 | 396 | 449 | 845 | 159 | 320 | 15 | 13 | 369 | 136 | — | — | — | — | — | — |
| 2024 | 33 | AAA | Louisville Bats | — | 300 | 269 | 57 | 11 | 2 | 11 | 23 | 66 | 2 | 5 | 1 | 212 | 279 | 390 | 669 | 178 | 235 | 22 | 8 | 292 | 32 | — | — | — | — | — | — |
| 2024 | 33 | INTL | Venezuela | — | 101 | 86 | 19 | 6 | 0 | 1 | 11 | 17 | 1 | 8 | 0 | 221 | 316 | 326 | 642 | 105 | 261 | 17 | 11 | 288 | 81 | — | — | — | — | — | — |
| 2025 | 34 | INTL | Caribes de Anzoategui | — | 263 | 227 | 71 | 9 | 1 | 9 | 29 | 53 | 0 | 10 | 2 | 313 | 391 | 480 | 871 | 167 | 365 | 20 | 11 | 377 | 141 | — | — | — | — | — | — |
| 2026 | 35 | INTL | Caribes de Anzoategui | — | 66 | 57 | 17 | 4 | 0 | 5 | 6 | 9 | 0 | 1 | 0 | 298 | 365 | 632 | 997 | 333 | 273 | 14 | 9 | 409 | 163 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1832 | 1732 | 433 | 74 | 11 | 45 | 75 | 394 | 1 | 69 | 16 | 250 | 282 | 383 | 665 | 133 | 297 | 22 | 4 | 291 | 83 | -36 | +7 | +11 | +5 | +40 | 2.7 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2008 | 17 | ROK MLE | VSL Tigers | — | 291 | 270 | 42 | 5 | 3 | 0 | 11 | 43 | 4 | 4 | 4 | 156 | 200 | 196 | 396 | 41 | 176 | 15 | 4 | 178 | 7 | — | — | — | — | — | — |
| 2009 | 18 | A+ MLE | Lakeland Flying Tigers | — | 77 | 73 | 17 | 4 | 1 | 0 | 2 | 30 | 0 | 0 | 0 | 233 | 253 | 315 | 568 | 82 | 362 | 39 | 3 | 238 | 47 | — | — | — | — | — | — |
| 2009 | 18 | A MLE | West Michigan Whitecaps | — | 45 | 44 | 9 | 0 | 1 | 0 | 0 | 11 | 0 | 2 | 1 | 205 | 205 | 250 | 455 | 45 | 268 | 24 | 0 | 193 | 17 | — | — | — | — | — | — |
| 2009 | 18 | ROK MLE | GCL Tigers | — | 86 | 82 | 13 | 6 | 1 | 1 | 2 | 20 | 1 | 2 | 0 | 159 | 188 | 293 | 481 | 134 | 196 | 23 | 2 | 196 | 19 | — | — | — | — | — | — |
| 2010 | 19 | A MLE | West Michigan Whitecaps | — | 507 | 479 | 92 | 11 | 0 | 4 | 19 | 137 | 2 | 5 | 1 | 192 | 226 | 240 | 466 | 48 | 252 | 27 | 4 | 207 | 26 | — | — | — | — | — | — |
| 2011 | 20 | A MLE | West Michigan Whitecaps | — | 566 | 516 | 116 | 20 | 2 | 7 | 25 | 122 | 6 | 23 | 6 | 225 | 269 | 312 | 581 | 87 | 263 | 22 | 4 | 251 | 56 | — | — | — | — | — | — |
| 2012 | 21 | A+ MLE | Lakeland Flying Tigers | — | 475 | 442 | 97 | 11 | 3 | 4 | 19 | 98 | 2 | 27 | 4 | 219 | 255 | 285 | 540 | 66 | 258 | 21 | 4 | 233 | 44 | — | — | — | — | — | — |
| 2013 | 22 | MLB MLE | Detroit Tigers | — | 71 | 66 | 13 | 0 | 1 | 0 | 2 | 15 | 0 | 1 | 0 | 197 | 221 | 227 | 448 | 30 | 250 | 21 | 3 | 198 | 20 | -7 | +0 | +1 | +2 | +2 | -0.2 |
| 2013 | 22 | AAA MLE | Toledo Mud Hens | — | 74 | 69 | 20 | 3 | 0 | 0 | 3 | 8 | 1 | 4 | 0 | 290 | 329 | 333 | 662 | 43 | 331 | 11 | 4 | 297 | 87 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | Erie SeaWolves | — | 384 | 366 | 106 | 26 | 2 | 3 | 8 | 58 | 2 | 24 | 7 | 290 | 309 | 396 | 705 | 107 | 328 | 15 | 2 | 303 | 91 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | Toledo Mud Hens | — | 596 | 559 | 149 | 27 | 7 | 6 | 24 | 77 | 2 | 21 | 6 | 267 | 299 | 372 | 671 | 106 | 292 | 13 | 4 | 289 | 82 | — | — | — | — | — | — |
| 2015 | 24 | MLB MLE | Milwaukee Brewers | — | 272 | 264 | 65 | 16 | 2 | 1 | 4 | 59 | 0 | 5 | 1 | 246 | 257 | 333 | 591 | 87 | 309 | 22 | 1 | 259 | 62 | -12 | +1 | +3 | +2 | +6 | -0.1 |
| 2016 | 25 | MLB MLE | Milwaukee Brewers | — | 430 | 404 | 110 | 19 | 3 | 12 | 18 | 94 | 1 | 34 | 7 | 272 | 305 | 423 | 728 | 151 | 322 | 22 | 4 | 321 | 103 | +2 | +4 | +2 | +2 | +9 | 1.9 |
| 2016 | 25 | AAA MLE | Colorado Springs Sky Sox | — | 67 | 63 | 18 | 3 | 1 | 1 | 2 | 13 | 0 | 2 | 0 | 286 | 308 | 413 | 720 | 127 | 316 | 19 | 3 | 287 | 80 | — | — | — | — | — | — |
| 2017 | 26 | MLB MLE | Milwaukee Brewers | — | 458 | 433 | 112 | 20 | 3 | 13 | 19 | 79 | 0 | 13 | 4 | 259 | 290 | 409 | 699 | 150 | 286 | 17 | 4 | 308 | 95 | -3 | +1 | +4 | -5 | +10 | 0.7 |
| 2018 | 27 | MLB MLE | Milwaukee Brewers | — | 334 | 317 | 81 | 12 | 2 | 9 | 16 | 71 | 0 | 11 | 3 | 256 | 291 | 391 | 682 | 136 | 300 | 21 | 5 | 300 | 89 | -4 | +1 | +2 | +1 | +7 | 0.8 |
| 2019 | 28 | MLB MLE | Milwaukee Brewers | — | 246 | 232 | 54 | 12 | 0 | 8 | 11 | 66 | 0 | 5 | 1 | 233 | 267 | 388 | 655 | 155 | 283 | 27 | 4 | 283 | 77 | -7 | +1 | -1 | +1 | +5 | -0.0 |
| 2019 | 28 | AAA MLE | San Antonio Missions | — | 121 | 112 | 24 | 7 | 0 | 4 | 9 | 30 | 0 | 6 | 0 | 214 | 273 | 384 | 657 | 170 | 262 | 25 | 7 | 286 | 80 | — | — | — | — | — | — |
| 2021 | 30 | MLB MLE | Washington Nationals | — | 21 | 19 | 1 | 0 | 0 | 0 | 2 | 10 | 0 | 0 | 0 | 53 | 143 | 53 | 195 | 111 | 48 | 10 | 110 | -40 | -3 | +0 | -0 | +1 | +0 | -0.2 | |
| 2021 | 30 | AAA MLE | Nashville Sounds | — | 91 | 86 | 26 | 5 | 0 | 2 | 4 | 19 | 0 | 4 | 1 | 302 | 333 | 430 | 764 | 128 | 354 | 21 | 4 | 332 | 111 | — | — | — | — | — | — |
| 2022 | 31 | AAA MLE | Gwinnett Stripers | — | 353 | 332 | 72 | 12 | 1 | 6 | 14 | 89 | 3 | 20 | 3 | 217 | 255 | 313 | 568 | 96 | 268 | 25 | 4 | 250 | 55 | — | — | — | — | — | — |
| 2023 | 32 | AAA MLE | St. Paul Saints | — | 231 | 214 | 50 | 5 | 2 | 7 | 13 | 59 | 1 | 9 | 4 | 234 | 281 | 374 | 655 | 140 | 280 | 26 | 6 | 284 | 78 | — | — | — | — | — | — |
| 2023 | 32 | A MLE | Fort Myers Mighty Mussels | — | 24 | 19 | 4 | 1 | 0 | 0 | 4 | 8 | 0 | 2 | 0 | 211 | 348 | 263 | 611 | 53 | 294 | 33 | 17 | 269 | 68 | — | — | — | — | — | — |
| 2024 | 33 | AAA MLE | Louisville Bats | — | 300 | 278 | 48 | 9 | 2 | 7 | 14 | 79 | 2 | 5 | 1 | 173 | 218 | 295 | 513 | 122 | 198 | 26 | 5 | 216 | 32 | — | — | — | — | — | — |
| 2008 | 17 | ROK MLE | VSL Tigers | — | 291 | 270 | 42 | 5 | 3 | 0 | 11 | 43 | 4 | 4 | 4 | 156 | 200 | 196 | 396 | 41 | 183 | 15 | 4 | 178 | 7 | — | — | — | — | — | — |
| 2008 | 17 | ROK RAW | VSL Tigers | — | 291 | 265 | 60 | 8 | 4 | 1 | 16 | 35 | 4 | 4 | 4 | 226 | 281 | 298 | 579 | 72 | 254 | 12 | 5 | 259 | 7 | — | — | — | — | — | — |
| 2009 | 18 | ROK MLE | 3 teams | — | 208 | 199 | 39 | 10 | 2 | 1 | 4 | 61 | 1 | 4 | 1 | 196 | 216 | 281 | 497 | 85 | 275 | 29 | 2 | 211 | 29 | — | — | — | — | — | — |
| 2009 | 18 | ROK RAW | 3 teams | — | 208 | 197 | 47 | 13 | 3 | 1 | 6 | 43 | 1 | 4 | 1 | 239 | 265 | 350 | 615 | 112 | 299 | 21 | 3 | 268 | 29 | — | — | — | — | — | — |
| 2010 | 19 | A MLE | West Michigan Whitecaps | — | 507 | 479 | 92 | 11 | 0 | 4 | 19 | 137 | 2 | 5 | 1 | 192 | 226 | 240 | 466 | 48 | 257 | 27 | 4 | 207 | 26 | — | — | — | — | — | — |
| 2010 | 19 | A RAW | West Michigan Whitecaps | — | 507 | 473 | 111 | 15 | 0 | 5 | 25 | 98 | 2 | 5 | 1 | 235 | 276 | 298 | 574 | 63 | 283 | 19 | 5 | 258 | 26 | — | — | — | — | — | — |
| 2011 | 20 | A MLE | 2 teams | — | 635 | 581 | 131 | 22 | 3 | 8 | 28 | 137 | 6 | 25 | 6 | 225 | 268 | 315 | 583 | 90 | 276 | 22 | 4 | 251 | 56 | — | — | — | — | — | — |
| 2011 | 20 | A RAW | 2 teams | — | 635 | 569 | 150 | 29 | 3 | 8 | 40 | 96 | 6 | 25 | 6 | 264 | 319 | 367 | 686 | 104 | 300 | 15 | 6 | 300 | 56 | — | — | — | — | — | — |
| 2012 | 21 | A+ MLE | 2 teams | — | 573 | 530 | 117 | 13 | 3 | 5 | 23 | 118 | 3 | 30 | 5 | 221 | 257 | 285 | 542 | 64 | 271 | 21 | 4 | 233 | 44 | — | — | — | — | — | — |
| 2012 | 21 | A+ RAW | 2 teams | — | 573 | 527 | 133 | 13 | 5 | 5 | 26 | 80 | 3 | 30 | 5 | 252 | 291 | 324 | 616 | 72 | 286 | 14 | 5 | 271 | 44 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | 4 teams | — | 659 | 622 | 175 | 36 | 4 | 4 | 17 | 102 | 3 | 34 | 9 | 281 | 304 | 371 | 675 | 90 | 329 | 15 | 3 | 288 | 81 | — | — | — | — | — | — |
| 2013 | 22 | AA RAW | 4 teams | — | 659 | 612 | 173 | 37 | 3 | 4 | 27 | 89 | 3 | 34 | 9 | 283 | 316 | 373 | 689 | 90 | 323 | 14 | 4 | 301 | 81 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | 2 teams | — | 647 | 607 | 162 | 29 | 7 | 7 | 26 | 83 | 2 | 21 | 6 | 267 | 299 | 372 | 672 | 105 | 298 | 13 | 4 | 289 | 82 | — | — | — | — | — | — |
| 2014 | 23 | AAA RAW | 2 teams | — | 647 | 597 | 167 | 32 | 7 | 6 | 36 | 76 | 2 | 21 | 6 | 280 | 323 | 387 | 710 | 107 | 310 | 12 | 6 | 312 | 82 | — | — | — | — | — | — |
| 2015 | 24 | MLB MLE | 2 teams | — | 541 | 522 | 130 | 32 | 4 | 2 | 8 | 117 | 2 | 16 | 4 | 249 | 263 | 337 | 600 | 88 | 316 | 22 | 1 | 259 | 62 | -25 | +2 | +3 | +2 | +12 | -0.7 |
| 2015 | 24 | MLB RAW | 2 teams | — | 541 | 516 | 142 | 24 | 7 | 10 | 14 | 86 | 2 | 16 | 4 | 275 | 297 | 407 | 704 | 132 | 313 | 16 | 3 | 306 | 62 | -25 | +2 | +3 | +2 | +12 | -0.7 |
| 2016 | 25 | MLB MLE | 3 teams | — | 674 | 635 | 174 | 30 | 5 | 18 | 27 | 146 | 1 | 43 | 8 | 274 | 305 | 422 | 727 | 148 | 327 | 22 | 4 | 316 | 100 | +0 | +5 | +2 | +2 | +15 | 2.5 |
| 2016 | 25 | MLB RAW | 3 teams | — | 674 | 635 | 194 | 31 | 6 | 17 | 27 | 124 | 1 | 43 | 8 | 306 | 335 | 454 | 788 | 148 | 354 | 18 | 4 | 343 | 100 | +0 | +5 | +2 | +2 | +15 | 2.5 |
| 2017 | 26 | MLB MLE | 2 teams | — | 479 | 452 | 118 | 21 | 3 | 14 | 20 | 83 | 0 | 15 | 4 | 261 | 292 | 414 | 706 | 153 | 289 | 17 | 4 | 308 | 95 | -3 | +1 | +4 | -5 | +10 | 0.8 |
| 2017 | 26 | MLB RAW | 2 teams | — | 479 | 450 | 115 | 20 | 3 | 15 | 22 | 82 | 0 | 15 | 4 | 256 | 290 | 413 | 704 | 158 | 279 | 17 | 5 | 306 | 95 | -3 | +1 | +4 | -5 | +10 | 0.8 |
| 2018 | 27 | MLB MLE | Milwaukee Brewers | — | 334 | 317 | 81 | 12 | 2 | 9 | 16 | 71 | 0 | 11 | 3 | 256 | 291 | 391 | 682 | 136 | 303 | 21 | 5 | 300 | 89 | -4 | +1 | +2 | +1 | +7 | 0.8 |
| 2018 | 27 | MLB RAW | Milwaukee Brewers | — | 334 | 316 | 80 | 11 | 2 | 9 | 17 | 71 | 0 | 11 | 3 | 253 | 291 | 386 | 677 | 133 | 300 | 21 | 5 | 301 | 89 | -4 | +1 | +2 | +1 | +7 | 0.8 |
| 2019 | 28 | MLB MLE | 2 teams | — | 367 | 344 | 77 | 19 | 0 | 11 | 20 | 96 | 0 | 11 | 1 | 224 | 266 | 375 | 641 | 151 | 277 | 26 | 5 | 284 | 78 | -10 | +2 | -1 | +1 | +8 | 0.0 |
| 2019 | 28 | MLB RAW | 2 teams | — | 367 | 339 | 84 | 21 | 0 | 13 | 25 | 89 | 0 | 11 | 1 | 248 | 299 | 425 | 724 | 177 | 298 | 24 | 7 | 318 | 78 | -10 | +2 | -1 | +1 | +8 | 0.0 |
| 2020 | 29 | INTL MLE | Tigres de Aragua | — | 122 | 102 | 41 | 8 | 0 | 5 | 20 | 22 | 0 | 8 | 0 | 402 | 500 | 627 | 1.127 | 225 | 480 | 18 | 16 | — | — | — | — | — | — | — | — |
| 2020 | 29 | INTL RAW | Tigres de Aragua | — | 122 | 102 | 41 | 8 | 0 | 5 | 20 | 22 | 0 | 8 | 0 | 402 | 500 | 627 | 1.127 | 225 | 480 | 18 | 16 | 492 | 219 | — | — | — | — | — | — |
| 2021 | 30 | INTL MLE | 3 teams | — | 259 | 240 | 62 | 11 | 0 | 5 | 15 | 66 | 1 | 5 | 2 | 258 | 305 | 367 | 671 | 108 | 331 | 25 | 6 | 290 | 83 | — | — | — | — | — | — |
| 2021 | 30 | INTL RAW | 3 teams | — | 259 | 235 | 70 | 11 | 0 | 9 | 20 | 50 | 1 | 5 | 2 | 298 | 355 | 460 | 815 | 162 | 341 | 19 | 8 | 358 | 83 | — | — | — | — | — | — |
| 2022 | 31 | AAA MLE | 2 teams | — | 597 | 559 | 120 | 20 | 1 | 10 | 24 | 150 | 4 | 27 | 5 | 215 | 252 | 308 | 560 | 93 | 269 | 25 | 4 | 250 | 55 | — | — | — | — | — | — |
| 2022 | 31 | AAA RAW | 2 teams | — | 597 | 533 | 149 | 29 | 2 | 16 | 49 | 101 | 4 | 27 | 5 | 280 | 344 | 432 | 776 | 152 | 312 | 17 | 8 | 340 | 55 | — | — | — | — | — | — |
| 2023 | 32 | AAA MLE | 3 teams | — | 468 | 422 | 99 | 11 | 4 | 12 | 31 | 124 | 5 | 26 | 8 | 235 | 295 | 365 | 660 | 130 | 294 | 26 | 7 | 283 | 77 | — | — | — | — | — | — |
| 2023 | 32 | AAA RAW | 3 teams | — | 468 | 397 | 112 | 21 | 4 | 14 | 56 | 85 | 5 | 26 | 8 | 282 | 378 | 461 | 839 | 179 | 318 | 18 | 12 | 366 | 77 | — | — | — | — | — | — |
| 2024 | 33 | AAA MLE | 2 teams | — | 401 | 371 | 62 | 12 | 2 | 9 | 18 | 106 | 3 | 13 | 1 | 167 | 212 | 283 | 495 | 116 | 203 | 26 | 4 | 216 | 32 | — | — | — | — | — | — |
| 2024 | 33 | AAA RAW | 2 teams | — | 401 | 355 | 76 | 17 | 2 | 12 | 34 | 83 | 3 | 13 | 1 | 214 | 288 | 375 | 663 | 161 | 242 | 21 | 8 | 291 | 32 | — | — | — | — | — | — |
| 2025 | 34 | INTL MLE | Caribes de Anzoategui | — | 263 | 227 | 71 | 9 | 1 | 9 | 29 | 53 | 0 | 10 | 2 | 313 | 391 | 480 | 871 | 167 | 365 | 20 | 11 | — | — | — | — | — | — | — | — |
| 2025 | 34 | INTL RAW | Caribes de Anzoategui | — | 263 | 227 | 71 | 9 | 1 | 9 | 29 | 53 | 0 | 10 | 2 | 313 | 391 | 480 | 871 | 167 | 365 | 20 | 11 | 377 | 141 | — | — | — | — | — | — |
| 2026 | 35 | INTL MLE | Caribes de Anzoategui | — | 66 | 57 | 17 | 4 | 0 | 5 | 6 | 9 | 0 | 1 | 0 | 298 | 365 | 632 | 997 | 333 | 273 | 14 | 9 | — | — | — | — | — | — | — | — |
| 2026 | 35 | INTL RAW | Caribes de Anzoategui | — | 66 | 57 | 17 | 4 | 0 | 5 | 6 | 9 | 0 | 1 | 0 | 298 | 365 | 632 | 997 | 333 | 273 | 14 | 9 | 409 | 163 | — | — | — | — | — | — |
| 2008 | 17 | ROK MLE | VSL Tigers | — | 291 | 274 | 42 | 5 | 3 | 0 | 11 | 43 | 4 | 4 | 4 | 153 | 200 | 193 | 393 | 40 | 176 | 15 | 4 | 178 | 7 | — | — | — | — | — | — |
| 2009 | 18 | ROK MLE | 3 teams | — | 208 | 201 | 39 | 10 | 2 | 1 | 4 | 61 | 1 | 4 | 1 | 194 | 216 | 279 | 494 | 85 | 273 | 29 | 2 | 211 | 29 | — | — | — | — | — | — |
| 2010 | 19 | A MLE | West Michigan Whitecaps | — | 507 | 481 | 92 | 11 | 0 | 4 | 19 | 137 | 2 | 5 | 1 | 191 | 226 | 239 | 465 | 48 | 252 | 27 | 4 | 207 | 26 | — | — | — | — | — | — |
| 2011 | 20 | A MLE | 2 teams | — | 635 | 596 | 131 | 22 | 3 | 8 | 28 | 137 | 6 | 25 | 6 | 220 | 268 | 307 | 575 | 87 | 263 | 22 | 4 | 251 | 56 | — | — | — | — | — | — |
| 2012 | 21 | A+ MLE | 2 teams | — | 573 | 542 | 117 | 13 | 3 | 5 | 23 | 118 | 3 | 30 | 5 | 216 | 257 | 279 | 536 | 63 | 258 | 21 | 4 | 233 | 44 | — | — | — | — | — | — |
| 2013 | 22 | AA MLE | 4 teams | — | 659 | 634 | 175 | 36 | 4 | 4 | 17 | 102 | 3 | 34 | 9 | 276 | 304 | 364 | 668 | 88 | 318 | 15 | 3 | 288 | 81 | — | — | — | — | — | — |
| 2014 | 23 | AAA MLE | 2 teams | — | 647 | 614 | 162 | 29 | 7 | 7 | 26 | 83 | 2 | 21 | 6 | 264 | 299 | 368 | 667 | 104 | 292 | 13 | 4 | 289 | 82 | — | — | — | — | — | — |
| 2015 | 24 | MLB MLE | 2 teams | — | 541 | 526 | 130 | 32 | 4 | 2 | 8 | 117 | 2 | 16 | 4 | 247 | 263 | 335 | 598 | 87 | 309 | 22 | 1 | 259 | 62 | — | — | — | — | — | — |
| 2016 | 25 | MLB MLE | 3 teams | — | 674 | 641 | 174 | 30 | 5 | 18 | 27 | 146 | 1 | 43 | 8 | 271 | 305 | 418 | 723 | 147 | 321 | 22 | 4 | 316 | 100 | — | — | — | — | — | — |
| 2017 | 26 | MLB MLE | 2 teams | — | 479 | 456 | 118 | 21 | 3 | 14 | 20 | 83 | 0 | 15 | 4 | 259 | 292 | 410 | 702 | 151 | 286 | 17 | 4 | 308 | 95 | — | — | — | — | — | — |
| 2018 | 27 | MLB MLE | Milwaukee Brewers | — | 334 | 315 | 81 | 12 | 2 | 9 | 16 | 71 | 0 | 11 | 3 | 257 | 291 | 394 | 685 | 137 | 300 | 21 | 5 | 300 | 89 | — | — | — | — | — | — |
| 2019 | 28 | MLB MLE | 2 teams | — | 367 | 344 | 77 | 19 | 0 | 11 | 20 | 96 | 0 | 11 | 1 | 224 | 266 | 375 | 641 | 151 | 276 | 26 | 5 | 284 | 78 | — | — | — | — | — | — |
| 2021 | 30 | INTL MLE | 3 teams | — | 259 | 241 | 62 | 11 | 0 | 5 | 15 | 66 | 1 | 5 | 2 | 257 | 305 | 365 | 670 | 108 | 308 | 25 | 6 | 290 | 83 | — | — | — | — | — | — |
| 2022 | 31 | AAA MLE | 2 teams | — | 597 | 564 | 120 | 20 | 1 | 10 | 24 | 150 | 4 | 27 | 5 | 213 | 252 | 305 | 557 | 92 | 268 | 25 | 4 | 250 | 55 | — | — | — | — | — | — |
| 2023 | 32 | AAA MLE | 3 teams | — | 468 | 429 | 99 | 11 | 4 | 12 | 31 | 124 | 5 | 26 | 8 | 231 | 295 | 359 | 654 | 128 | 281 | 26 | 7 | 283 | 77 | — | — | — | — | — | — |
| 2024 | 33 | AAA MLE | 2 teams | — | 401 | 377 | 62 | 12 | 2 | 9 | 18 | 106 | 3 | 13 | 1 | 164 | 212 | 279 | 490 | 114 | 198 | 26 | 4 | 216 | 32 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 33 | AAA MLE | 2 teams | — | 401 | 377 | 62 | 12 | 2 | 9 | 18 | 106 | 3 | 13 | 1 | 164 | 212 | 279 | 490 | 114 | 198 | 26 | 4 | 216 | 32 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1832 | 1732 | 433 | 74 | 11 | 45 | 75 | 394 | 1 | 69 | 16 | 250 | 282 | 383 | 665 | 133 | 297 | 22 | 4 | 291 | 55 | -36 | +7 | +11 | +5 | +40 | 2.7 | |
| / 162G | — | A+C | — | 650 | 615 | 154 | 26 | 4 | 16 | 27 | 140 | 0 | 24 | 6 | 250 | 282 | 384 | 666 | 133 | 298 | 22 | 4 | 291 | 55 | -13 | +3 | +4 | +2 | +14 | 1.0 | |
| Career | — | MLE | — | 8091 | 7536 | 1810 | 315 | 44 | 138 | 362 | 1724 | 37 | 309 | 70 | 240 | 278 | 349 | 627 | 108 | 291 | 21 | 4 | 250 | 55 | -36 | +7 | +11 | +5 | +40 | 2.7 | |
| / 162G | — | MLE | — | 650 | 605 | 145 | 25 | 4 | 11 | 29 | 138 | 3 | 25 | 6 | 240 | 278 | 349 | 627 | 109 | 289 | 21 | 4 | 250 | 55 | -13 | +3 | +4 | +2 | +14 | 1.0 | |
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 AAALouisville Bats · 300 PAwOBA .287 → .216 (−70)K% 22.0% → 26.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.00% | ÷0.999 | ×1.200 | — | — | 26.44% |
| BB% (unintentional) /PA | 7.33% | ÷1.032 | ×0.690 | — | ×0.942 | 4.62% |
| HBP% /PA | 0.67% | — | ×0.940 | — | ×0.942 | 0.59% |
| Singles /BIP | 16.26% | ÷0.995 | ×0.930 | ×1.005 | ×0.942 | 14.39% |
| Doubles /BIP | 5.42% | ÷0.964 | ×0.830 | ×1.005 | ×0.942 | 4.42% |
| Triples /BIP | 0.99% | ÷1.150 | ×0.970 | ×1.005 | ×0.942 | 0.79% |
| Home runs /BIP | 5.42% | ÷1.111 | ×0.700 | — | ×0.942 | 3.22% |
Factors used: league row International League. Park (home-season share, regressed): HR 122, 1B 99, 2B 93, 3B 130, K 100, BB 106 — 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 ×1.005.
Result: wOBA .287 → .216; ISO .178 → .119; BABIP .235 → .198. 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 AAASt. Paul Saints · 231 PAwOBA .358 → .284 (−74)K% 20.8% → 25.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.78% | ÷0.973 | ×1.200 | — | — | 25.62% |
| BB% (unintentional) /PA | 9.09% | ÷1.067 | ×0.690 | — | ×0.952 | 5.60% |
| HBP% /PA | 0.43% | — | ×0.940 | — | ×0.952 | 0.39% |
| Singles /BIP | 23.72% | ÷0.964 | ×0.930 | ×1.050 | ×0.952 | 22.87% |
| Doubles /BIP | 5.13% | ÷1.341 | ×0.830 | ×1.050 | ×0.952 | 3.17% |
| Triples /BIP | 1.28% | ÷0.977 | ×0.970 | ×1.050 | ×0.952 | 1.27% |
| Home runs /BIP | 6.41% | ÷1.009 | ×0.700 | — | ×0.952 | 4.24% |
Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 93, 2B 168, 3B 95, K 95, BB 113 — 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 ×1.050.
Result: wOBA .358 → .284; ISO .206 → .143; BABIP .315 → .280. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2023 AFort Myers Mighty Mussels · 24 PAwOBA .349 → .269 (−80)K% 25.0% → 35.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.969 | ×1.360 | — | — | 35.09% |
| BB% (unintentional) /PA | 25.00% | ÷1.050 | ×0.690 | — | ×0.940 | 15.44% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.940 | 0.00% |
| Singles /BIP | 27.27% | ÷0.938 | ×0.920 | — | ×0.940 | 25.14% |
| Doubles /BIP | 9.09% | ÷1.053 | ×0.830 | — | ×0.940 | 6.74% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×0.940 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.976 | ×0.800 | — | ×0.940 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 88, 2B 111, 3B 80, K 94, BB 110 — applied at half strength. Age: age 32 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (10.0 yr older than average).
Result: wOBA .349 → .269; ISO .059 → .047; BABIP .333 → .294. 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 AAAGwinnett Stripers · 353 PAwOBA .316 → .250 (−66)K% 21.0% → 25.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.96% | ÷1.002 | ×1.200 | — | — | 25.11% |
| BB% (unintentional) /PA | 6.23% | ÷0.998 | ×0.690 | — | ×0.962 | 4.15% |
| HBP% /PA | 0.85% | — | ×0.940 | — | ×0.962 | 0.77% |
| Singles /BIP | 24.90% | ÷1.018 | ×0.930 | ×0.978 | ×0.962 | 21.41% |
| Doubles /BIP | 6.02% | ÷0.966 | ×0.830 | ×0.978 | ×0.962 | 4.87% |
| Triples /BIP | 0.40% | ÷1.150 | ×0.970 | ×0.978 | ×0.962 | 0.32% |
| Home runs /BIP | 3.61% | ÷0.981 | ×0.700 | — | ×0.962 | 2.48% |
Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 104, 2B 93, 3B 130, K 100, BB 100 — 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 ×0.978.
Result: wOBA .316 → .250; ISO .136 → .099; BABIP .320 → .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 AAANashville Sounds · 91 PAwOBA .401 → .332 (−69)K% 17.6% → 20.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.58% | ÷1.024 | ×1.200 | — | — | 20.61% |
| BB% (unintentional) /PA | 6.59% | ÷0.946 | ×0.690 | — | ×0.972 | 4.67% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.972 | 0.00% |
| Singles /BIP | 30.88% | ÷0.966 | ×0.930 | ×0.971 | ×0.972 | 28.05% |
| Doubles /BIP | 8.82% | ÷1.030 | ×0.830 | ×0.971 | ×0.972 | 6.71% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×0.971 | ×0.972 | 0.00% |
| Home runs /BIP | 4.41% | ÷0.915 | ×0.700 | — | ×0.972 | 3.28% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — 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 ×0.971.
Result: wOBA .401 → .332; ISO .179 → .134; BABIP .409 → .354. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2019 AAASan Antonio Missions · 121 PAwOBA .382 → .286 (−96)K% 19.0% → 25.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.01% | ÷0.979 | ×1.290 | — | — | 25.04% |
| BB% (unintentional) /PA | 11.57% | ÷1.055 | ×0.710 | — | ×0.992 | 7.72% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×0.992 | 0.00% |
| Singles /BIP | 19.05% | ÷0.995 | ×0.900 | ×0.950 | ×0.992 | 16.24% |
| Doubles /BIP | 11.90% | ÷1.045 | ×0.810 | ×0.950 | ×0.992 | 8.69% |
| Triples /BIP | 0.00% | ÷0.930 | ×0.810 | ×0.950 | ×0.992 | 0.00% |
| Home runs /BIP | 5.95% | ÷0.977 | ×0.780 | — | ×0.992 | 4.71% |
Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — 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 ×0.950.
Result: wOBA .382 → .286; ISO .234 → .174; BABIP .329 → .262. 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 AAAColorado Springs Sky Sox · 67 PAwOBA .361 → .287 (−74)K% 14.9% → 20.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.93% | ÷0.964 | ×1.290 | — | — | 19.98% |
| BB% (unintentional) /PA | 4.48% | ÷1.052 | ×0.710 | — | ×1.033 | 3.12% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.033 | 0.00% |
| Singles /BIP | 28.85% | ÷1.046 | ×0.900 | ×0.979 | ×1.033 | 25.10% |
| Doubles /BIP | 7.69% | ÷1.196 | ×0.810 | ×0.979 | ×1.033 | 5.27% |
| Triples /BIP | 1.92% | ÷1.150 | ×0.810 | ×0.979 | ×1.033 | 1.37% |
| Home runs /BIP | 1.92% | ÷0.973 | ×0.780 | — | ×1.033 | 1.59% |
Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 109, 2B 139, 3B 130, K 93, BB 110 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.
Result: wOBA .361 → .287; ISO .145 → .106; BABIP .385 → .316. 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).
2014 AAAToledo Mud Hens · 596 PAwOBA .316 → .289 (−27)K% 10.9% → 12.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.91% | ÷1.017 | ×1.200 | — | — | 12.87% |
| BB% (unintentional) /PA | 5.87% | ÷1.053 | ×0.690 | — | ×1.050 | 4.04% |
| HBP% /PA | 0.34% | — | ×0.940 | — | ×1.050 | 0.33% |
| Singles /BIP | 23.24% | ÷0.999 | ×0.930 | ×0.977 | ×1.050 | 22.20% |
| Doubles /BIP | 6.64% | ÷1.031 | ×0.830 | ×0.977 | ×1.050 | 5.48% |
| Triples /BIP | 1.45% | ÷1.049 | ×0.970 | ×0.977 | ×1.050 | 1.38% |
| Home runs /BIP | 1.24% | ÷0.899 | ×0.840 | — | ×1.050 | 1.22% |
Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 100, 2B 106, 3B 110, K 103, BB 111 — 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 ×0.977.
Result: wOBA .316 → .289; ISO .117 → .107; BABIP .315 → .292. 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 — .