Aaron Whitefield
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 25 | AA/INTL2 orgs | 479 | .242/.329/.382 | 10 | 40 | 66 | — | .215/.272/.341 |
| 2023 | 26 | AA/INTL2 orgs | 269 | .243/.302/.377 | 6 | 26 | 73 | — | .156/.220/.257 |
| 2024 | 27 | INTLMelbourne Aces | 154 | .348/.395/.525 | 5 | 8 | 157 | — |
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) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK | GCL Twins | — | 20 | 18 | 3 | 0 | 0 | 0 | 2 | 4 | 0 | 1 | 0 | 167 | 250 | 167 | 417 | 214 | 20 | 10 | 206 | -16 | — | — | — | — | — | — | |
| 2015 | 18 | INTL | Brisbane Bandits | — | 72 | 70 | 22 | 7 | 0 | 1 | 1 | 16 | 0 | 2 | 1 | 314 | 324 | 457 | 781 | 143 | 396 | 22 | 1 | 339 | 116 | — | — | — | — | — | — |
| 2016 | 19 | ROK | GCL Twins | — | 217 | 191 | 57 | 7 | 0 | 2 | 19 | 47 | 4 | 31 | 9 | 298 | 374 | 366 | 740 | 68 | 382 | 22 | 9 | 335 | 42 | — | — | — | — | — | — |
| 2016 | 19 | INTL | Brisbane Bandits | — | 169 | 157 | 53 | 12 | 0 | 4 | 10 | 37 | 1 | 20 | 3 | 338 | 381 | 490 | 871 | 153 | 419 | 22 | 6 | 384 | 146 | — | — | — | — | — | — |
| 2017 | 20 | A | Cedar Rapids Kernels | — | 460 | 413 | 108 | 18 | 6 | 11 | 31 | 118 | 7 | 33 | 9 | 262 | 324 | 414 | 738 | 153 | 332 | 26 | 7 | 323 | 51 | — | — | — | — | — | — |
| 2017 | 20 | INTL | Brisbane Bandits | — | 122 | 106 | 31 | 8 | 0 | 2 | 13 | 29 | 0 | 10 | 7 | 292 | 367 | 425 | 791 | 132 | 377 | 24 | 11 | 348 | 122 | — | — | — | — | — | — |
| 2018 | 21 | A+ | Fort Myers Miracle | — | 238 | 213 | 45 | 7 | 0 | 2 | 17 | 56 | 2 | 20 | 7 | 211 | 275 | 272 | 547 | 61 | 272 | 24 | 7 | 248 | 24 | — | — | — | — | — | — |
| 2018 | 21 | ROK | GCL Twins | — | 20 | 16 | 4 | 1 | 0 | 0 | 4 | 4 | 0 | 0 | 0 | 250 | 400 | 312 | 713 | 62 | 333 | 20 | 20 | 339 | 42 | — | — | — | — | — | — |
| 2018 | 21 | INTL | Adelaide Bite | — | 183 | 158 | 40 | 10 | 0 | 4 | 18 | 44 | 2 | 9 | 2 | 253 | 335 | 392 | 728 | 139 | 316 | 24 | 10 | 321 | 103 | — | — | — | — | — | — |
| 2019 | 22 | AA | Pensacola Blue Wahoos | — | 110 | 102 | 14 | 2 | 1 | 0 | 4 | 37 | 1 | 5 | 0 | 137 | 178 | 176 | 354 | 39 | 209 | 34 | 4 | 161 | -24 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Fort Myers Miracle | — | 295 | 268 | 59 | 17 | 0 | 4 | 20 | 89 | 3 | 25 | 8 | 220 | 282 | 328 | 610 | 108 | 309 | 30 | 7 | 274 | 19 | — | — | — | — | — | — |
| 2019 | 22 | INTL | Adelaide Giants | — | 143 | 125 | 47 | 9 | 2 | 2 | 17 | 23 | 1 | 23 | 2 | 376 | 455 | 528 | 983 | 152 | 450 | 16 | 12 | 436 | 181 | — | — | — | — | — | — |
| 2021 | 24 | AA | Wichita Wind Surge | — | 451 | 397 | 102 | 12 | 4 | 6 | 42 | 112 | 3 | 36 | 12 | 257 | 332 | 353 | 684 | 96 | 336 | 25 | 9 | 307 | 61 | — | — | — | — | — | — |
| 2021 | 24 | INTL | Criollos de Caguas | — | 46 | 40 | 10 | 2 | 0 | 0 | 5 | 9 | 0 | 2 | 3 | 250 | 333 | 300 | 633 | 50 | 312 | 20 | 11 | 289 | 82 | — | — | — | — | — | — |
| 2022 | 25 | AA | Rocket City Trash Pandas | — | 346 | 301 | 79 | 18 | 3 | 9 | 36 | 93 | 3 | 29 | 10 | 262 | 345 | 432 | 777 | 169 | 345 | 27 | 10 | 342 | 70 | — | — | — | — | — | — |
| 2022 | 25 | INTL | Melbourne Aces | — | 133 | 113 | 21 | 4 | 0 | 1 | 13 | 35 | 3 | 11 | 0 | 186 | 287 | 248 | 535 | 62 | 247 | 26 | 10 | 248 | 54 | — | — | — | — | — | — |
| 2023 | 26 | AA | Rocket City Trash Pandas | — | 118 | 105 | 20 | 5 | 0 | 3 | 12 | 47 | 1 | 12 | 2 | 190 | 280 | 324 | 603 | 133 | 309 | 40 | 10 | 277 | 31 | — | — | — | — | — | — |
| 2023 | 26 | INTL | Melbourne Aces | — | 151 | 142 | 40 | 8 | 1 | 3 | 6 | 27 | 2 | 14 | 10 | 282 | 320 | 415 | 735 | 134 | 330 | 18 | 4 | 325 | 106 | — | — | — | — | — | — |
| 2024 | 27 | INTL | Melbourne Aces | — | 154 | 141 | 49 | 6 | 2 | 5 | 10 | 16 | 1 | 8 | 3 | 348 | 395 | 525 | 920 | 177 | 361 | 10 | 6 | 400 | 157 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK MLE | GCL Twins | — | 20 | 19 | 2 | 0 | 0 | 0 | 1 | 6 | 0 | 1 | 0 | 105 | 150 | 105 | 255 | 177 | 30 | 5 | 144 | -16 | — | — | — | — | — | — | |
| 2016 | 19 | ROK MLE | GCL Twins | — | 217 | 199 | 41 | 5 | 0 | 1 | 11 | 68 | 4 | 31 | 9 | 206 | 262 | 246 | 508 | 40 | 294 | 31 | 5 | 231 | 42 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | Cedar Rapids Kernels | — | 460 | 421 | 83 | 12 | 5 | 8 | 23 | 164 | 7 | 33 | 9 | 197 | 251 | 306 | 557 | 109 | 282 | 36 | 5 | 244 | 51 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | Fort Myers Miracle | — | 238 | 218 | 39 | 6 | 0 | 2 | 13 | 79 | 2 | 20 | 7 | 179 | 232 | 234 | 466 | 55 | 252 | 33 | 5 | 204 | 24 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | GCL Twins | — | 20 | 18 | 3 | 1 | 0 | 0 | 2 | 6 | 0 | 0 | 0 | 167 | 250 | 222 | 472 | 56 | 258 | 30 | 10 | 230 | 42 | — | — | — | — | — | — |
| 2019 | 22 | AA MLE | Pensacola Blue Wahoos | — | 110 | 103 | 12 | 1 | 1 | 0 | 3 | 44 | 1 | 5 | 0 | 117 | 150 | 146 | 295 | 29 | 189 | 40 | 3 | 133 | -24 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Fort Myers Miracle | — | 295 | 273 | 43 | 14 | 0 | 2 | 15 | 135 | 3 | 25 | 8 | 158 | 210 | 231 | 440 | 73 | 283 | 46 | 5 | 196 | 19 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Wichita Wind Surge | — | 451 | 410 | 93 | 10 | 4 | 4 | 30 | 138 | 3 | 36 | 12 | 227 | 284 | 300 | 584 | 73 | 311 | 31 | 7 | 259 | 61 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | Rocket City Trash Pandas | — | 346 | 317 | 68 | 16 | 3 | 6 | 22 | 111 | 3 | 29 | 10 | 215 | 272 | 341 | 613 | 126 | 298 | 32 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 26 | AA MLE | Rocket City Trash Pandas | — | 118 | 109 | 17 | 5 | 0 | 2 | 8 | 56 | 1 | 12 | 2 | 156 | 220 | 257 | 477 | 101 | 289 | 47 | 7 | 214 | 31 | — | — | — | — | — | — |
| 2015 | 18 | INTL MLE | 2 teams | — | 92 | 85 | 11 | 0 | 0 | 0 | 6 | 26 | 0 | 3 | 1 | 129 | 187 | 129 | 316 | 186 | 28 | 7 | 144 | -16 | — | — | — | — | — | — | |
| 2015 | 18 | INTL RAW | 2 teams | — | 92 | 88 | 25 | 7 | 0 | 1 | 3 | 20 | 0 | 3 | 1 | 284 | 308 | 398 | 705 | 114 | 358 | 22 | 3 | 310 | -16 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | 2 teams | — | 386 | 357 | 74 | 8 | 0 | 3 | 20 | 120 | 5 | 51 | 12 | 207 | 259 | 255 | 514 | 48 | 300 | 31 | 5 | 231 | 42 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | 2 teams | — | 386 | 348 | 110 | 19 | 0 | 6 | 29 | 84 | 5 | 51 | 12 | 316 | 377 | 422 | 799 | 106 | 398 | 22 | 8 | 357 | 42 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | 2 teams | — | 582 | 535 | 105 | 15 | 6 | 10 | 29 | 208 | 7 | 43 | 16 | 196 | 247 | 303 | 550 | 107 | 291 | 36 | 5 | 244 | 51 | — | — | — | — | — | — |
| 2017 | 20 | A RAW | 2 teams | — | 582 | 519 | 139 | 26 | 6 | 13 | 44 | 147 | 7 | 43 | 16 | 268 | 333 | 416 | 749 | 148 | 341 | 25 | 8 | 328 | 51 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | 3 teams | — | 441 | 402 | 71 | 11 | 0 | 3 | 26 | 144 | 4 | 29 | 9 | 177 | 234 | 226 | 460 | 50 | 260 | 33 | 6 | 206 | 26 | — | — | — | — | — | — |
| 2018 | 21 | A+ RAW | 3 teams | — | 441 | 387 | 89 | 18 | 0 | 6 | 39 | 104 | 4 | 29 | 9 | 230 | 306 | 323 | 629 | 93 | 292 | 24 | 9 | 282 | 26 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | 3 teams | — | 548 | 512 | 74 | 20 | 1 | 3 | 24 | 242 | 5 | 53 | 10 | 145 | 190 | 205 | 395 | 61 | 261 | 44 | 4 | 179 | 7 | — | — | — | — | — | — |
| 2019 | 22 | A+ RAW | 3 teams | — | 548 | 495 | 120 | 28 | 3 | 6 | 41 | 149 | 5 | 53 | 10 | 242 | 307 | 347 | 654 | 105 | 330 | 27 | 7 | 293 | 7 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | 2 teams | — | 497 | 452 | 102 | 11 | 4 | 5 | 33 | 152 | 3 | 38 | 15 | 226 | 283 | 301 | 584 | 75 | 320 | 31 | 7 | 259 | 61 | — | — | — | — | — | — |
| 2021 | 24 | AA RAW | 2 teams | — | 497 | 437 | 112 | 14 | 4 | 6 | 47 | 121 | 3 | 38 | 15 | 256 | 332 | 348 | 680 | 92 | 333 | 24 | 9 | 305 | 61 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | 2 teams | — | 479 | 434 | 94 | 22 | 4 | 9 | 31 | 153 | 6 | 40 | 10 | 217 | 278 | 348 | 626 | 131 | 304 | 32 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2022 | 25 | AA RAW | 2 teams | — | 479 | 414 | 100 | 22 | 3 | 10 | 49 | 128 | 6 | 40 | 10 | 242 | 329 | 382 | 711 | 140 | 317 | 27 | 10 | 316 | 70 | — | — | — | — | — | — |
| 2023 | 26 | INTL MLE | 2 teams | — | 269 | 247 | 38 | 10 | 0 | 5 | 18 | 127 | 3 | 26 | 12 | 154 | 220 | 255 | 475 | 101 | 287 | 47 | 7 | 214 | 31 | — | — | — | — | — | — |
| 2023 | 26 | INTL RAW | 2 teams | — | 269 | 247 | 60 | 13 | 1 | 6 | 18 | 74 | 3 | 26 | 12 | 243 | 302 | 377 | 679 | 134 | 323 | 28 | 7 | 304 | 31 | — | — | — | — | — | — |
| 2024 | 27 | INTL MLE | Melbourne Aces | — | 154 | 141 | 49 | 6 | 2 | 5 | 10 | 16 | 1 | 8 | 3 | 348 | 395 | 525 | 920 | 177 | 361 | 10 | 6 | — | — | — | — | — | — | — | — |
| 2024 | 27 | INTL RAW | Melbourne Aces | — | 154 | 141 | 49 | 6 | 2 | 5 | 10 | 16 | 1 | 8 | 3 | 348 | 395 | 525 | 920 | 177 | 361 | 10 | 6 | 400 | 157 | — | — | — | — | — | — |
| 2015 | 18 | INTL MLE | 2 teams | — | 92 | 86 | 11 | 0 | 0 | 0 | 6 | 26 | 0 | 3 | 1 | 128 | 187 | 128 | 315 | 177 | 28 | 7 | 144 | -16 | — | — | — | — | — | — | |
| 2016 | 19 | ROK MLE | 2 teams | — | 386 | 358 | 74 | 8 | 0 | 3 | 20 | 120 | 5 | 51 | 12 | 207 | 259 | 254 | 513 | 47 | 294 | 31 | 5 | 231 | 42 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | 2 teams | — | 582 | 541 | 105 | 15 | 6 | 10 | 29 | 208 | 7 | 43 | 16 | 194 | 247 | 299 | 546 | 105 | 282 | 36 | 5 | 244 | 51 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | 3 teams | — | 441 | 408 | 71 | 11 | 0 | 3 | 26 | 144 | 4 | 29 | 9 | 174 | 234 | 223 | 457 | 49 | 252 | 33 | 6 | 206 | 26 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | 3 teams | — | 548 | 514 | 74 | 20 | 1 | 3 | 24 | 242 | 5 | 53 | 10 | 144 | 190 | 204 | 395 | 60 | 257 | 44 | 4 | 179 | 7 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | 2 teams | — | 497 | 458 | 102 | 11 | 4 | 5 | 33 | 152 | 3 | 38 | 15 | 223 | 283 | 297 | 580 | 74 | 311 | 31 | 7 | 259 | 61 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | 2 teams | — | 479 | 439 | 94 | 22 | 4 | 9 | 31 | 153 | 6 | 40 | 10 | 214 | 278 | 344 | 622 | 130 | 298 | 32 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 26 | INTL MLE | 2 teams | — | 269 | 246 | 38 | 10 | 0 | 5 | 18 | 127 | 3 | 26 | 12 | 154 | 220 | 256 | 476 | 102 | 289 | 47 | 7 | 214 | 31 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 3448 | 3165 | 618 | 103 | 17 | 43 | 197 | 1188 | 34 | 291 | 88 | 195 | 250 | 279 | 529 | 84 | 291 | 34 | 6 | 217 | 33 | -274 | +23 | +1 | -30 | +75 | -21.0 | |
| / 162G | — | MLE | — | 650 | 597 | 116 | 19 | 3 | 8 | 37 | 224 | 6 | 55 | 17 | 194 | 248 | 276 | 525 | 82 | 290 | 34 | 6 | 217 | 33 | -52 | +4 | +0 | -6 | +14 | -4.0 | |
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.
2023 AARocket City Trash Pandas · 118 PAwOBA .269 → .214 (−55)K% 39.8% → 47.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 39.83% | ÷1.032 | ×1.220 | — | — | 47.10% |
| BB% (unintentional) /PA | 10.17% | ÷1.017 | ×0.680 | — | ×0.978 | 6.65% |
| HBP% /PA | 0.85% | — | ×0.840 | — | ×0.978 | 0.70% |
| Singles /BIP | 20.69% | ÷0.985 | ×0.920 | ×1.013 | ×0.978 | 19.16% |
| Doubles /BIP | 8.62% | ÷0.910 | ×0.910 | ×1.013 | ×0.978 | 8.54% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.880 | ×1.013 | ×0.978 | 0.00% |
| Home runs /BIP | 5.17% | ÷0.970 | ×0.800 | — | ×0.978 | 4.17% |
Factors used: league row SL. Park (home-season share, regressed): HR 94, 1B 97, 2B 82, 3B 80, K 106, BB 103 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .269 → .214; ISO .133 → .108; BABIP .309 → .289. 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 AARocket City Trash Pandas · 346 PAwOBA .336 → .271 (−65)K% 26.9% → 32.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.88% | ÷1.023 | ×1.220 | — | — | 32.05% |
| BB% (unintentional) /PA | 10.12% | ÷1.041 | ×0.680 | — | ×0.988 | 6.53% |
| HBP% /PA | 0.87% | — | ×0.840 | — | ×0.988 | 0.72% |
| Singles /BIP | 23.56% | ÷1.020 | ×0.920 | ×0.970 | ×0.988 | 20.38% |
| Doubles /BIP | 8.65% | ÷0.978 | ×0.910 | ×0.970 | ×0.988 | 7.72% |
| Triples /BIP | 1.44% | ÷0.900 | ×0.880 | ×0.970 | ×0.988 | 1.35% |
| Home runs /BIP | 4.33% | ÷1.131 | ×0.800 | — | ×0.988 | 3.02% |
Factors used: league row SL. Park (home-season share, regressed): HR 126, 1B 104, 2B 96, 3B 80, K 105, BB 108 — 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 ×0.970.
Result: wOBA .336 → .271; ISO .169 → .136; BABIP .345 → .298. 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 AAWichita Wind Surge · 451 PAwOBA .303 → .259 (−43)K% 24.8% → 30.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.83% | ÷0.994 | ×1.220 | — | — | 30.48% |
| BB% (unintentional) /PA | 9.09% | ÷0.950 | ×0.690 | — | ×0.998 | 6.59% |
| HBP% /PA | 0.67% | — | ×0.850 | — | ×0.998 | 0.56% |
| Singles /BIP | 28.07% | ÷0.989 | ×0.940 | ×0.996 | ×0.998 | 26.51% |
| Doubles /BIP | 4.21% | ÷1.040 | ×0.870 | ×0.996 | ×0.998 | 3.50% |
| Triples /BIP | 1.40% | ÷0.908 | ×0.920 | ×0.996 | ×0.998 | 1.41% |
| Home runs /BIP | 2.11% | ÷1.104 | ×0.780 | — | ×0.998 | 1.48% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 98, 2B 108, 3B 82, K 99, BB 90 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.
Result: wOBA .303 → .259; ISO .096 → .076; BABIP .336 → .311. 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 A+Fort Myers Miracle · 295 PAwOBA .269 → .196 (−73)K% 30.2% → 45.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.17% | ÷0.939 | ×1.420 | — | — | 45.60% |
| BB% (unintentional) /PA | 6.78% | ÷1.019 | ×0.750 | — | ×0.998 | 4.98% |
| HBP% /PA | 1.02% | — | ×0.930 | — | ×0.998 | 0.94% |
| Singles /BIP | 21.23% | ÷0.975 | ×0.920 | ×0.950 | ×0.998 | 19.00% |
| Doubles /BIP | 9.50% | ÷0.908 | ×0.960 | ×0.950 | ×0.998 | 9.52% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×0.950 | ×0.998 | 0.00% |
| Home runs /BIP | 2.23% | ÷1.362 | ×0.880 | — | ×0.998 | 1.44% |
Factors used: league row FSL. Park (home-season share, regressed): HR 172, 1B 95, 2B 82, 3B 80, K 88, BB 104 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .269 → .196; ISO .108 → .074; BABIP .309 → .283. 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 AAPensacola Blue Wahoos · 110 PAwOBA .159 → .133 (−26)K% 33.6% → 40.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.64% | ÷1.027 | ×1.220 | — | — | 39.95% |
| BB% (unintentional) /PA | 3.64% | ÷1.028 | ×0.680 | — | ×1.027 | 2.47% |
| HBP% /PA | 0.91% | — | ×0.840 | — | ×1.027 | 0.78% |
| Singles /BIP | 16.92% | ÷0.970 | ×0.920 | ×0.950 | ×1.027 | 15.66% |
| Doubles /BIP | 3.08% | ÷1.160 | ×0.910 | ×0.950 | ×1.027 | 2.35% |
| Triples /BIP | 1.54% | ÷0.900 | ×0.880 | ×0.950 | ×1.027 | 1.47% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.800 | — | ×1.027 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 100, 1B 94, 2B 132, 3B 80, K 105, BB 106 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .159 → .133; ISO .039 → .032; BABIP .209 → .189. 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 A+Fort Myers Miracle · 238 PAwOBA .245 → .204 (−41)K% 23.5% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.53% | ÷1.011 | ×1.420 | — | — | 33.04% |
| BB% (unintentional) /PA | 7.14% | ÷1.000 | ×0.750 | — | ×1.012 | 5.42% |
| HBP% /PA | 0.84% | — | ×0.930 | — | ×1.012 | 0.79% |
| Singles /BIP | 22.93% | ÷0.983 | ×0.920 | ×0.982 | ×1.012 | 21.32% |
| Doubles /BIP | 4.46% | ÷1.036 | ×0.960 | ×0.982 | ×1.012 | 4.10% |
| Triples /BIP | 0.00% | ÷0.949 | ×0.810 | ×0.982 | ×1.012 | 0.00% |
| Home runs /BIP | 1.27% | ÷1.059 | ×0.880 | — | ×1.012 | 1.07% |
Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 97, 2B 107, 3B 90, K 102, BB 100 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.982.
Result: wOBA .245 → .204; ISO .061 → .050; BABIP .272 → .252. 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 Twins · 20 PAwOBA .332 → .230 (−102)K% 20.0% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷1.000 | ×1.440 | — | — | 28.80% |
| BB% (unintentional) /PA | 20.00% | ÷1.000 | ×0.620 | — | ×0.975 | 12.09% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 25.00% | ÷1.000 | ×0.820 | — | ×0.975 | 19.99% |
| Doubles /BIP | 8.33% | ÷1.000 | ×0.720 | — | ×0.975 | 5.85% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.975 | 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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .332 → .230; ISO .062 → .043; BABIP .333 → .258. 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 ACedar Rapids Kernels · 460 PAwOBA .319 → .244 (−75)K% 25.7% → 35.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.65% | ÷0.977 | ×1.360 | — | — | 35.72% |
| BB% (unintentional) /PA | 6.52% | ÷0.925 | ×0.690 | — | ×1.015 | 4.94% |
| HBP% /PA | 1.52% | — | ×0.780 | — | ×1.015 | 1.20% |
| Singles /BIP | 24.75% | ÷1.016 | ×0.920 | ×0.961 | ×1.015 | 21.86% |
| Doubles /BIP | 6.10% | ÷1.086 | ×0.830 | ×0.961 | ×1.015 | 4.55% |
| Triples /BIP | 2.03% | ÷1.012 | ×0.910 | ×0.961 | ×1.015 | 1.78% |
| Home runs /BIP | 3.73% | ÷0.984 | ×0.800 | — | ×1.015 | 3.08% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 103, 2B 117, 3B 102, K 95, BB 85 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.
Result: wOBA .319 → .244; ISO .153 → .112; BABIP .332 → .282. 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 — .