Taylor Kohlwey
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 28 | AAA/INTL2 orgs | 637 | .291/.392/.428 | 11 | 10 | 83 | — | .241/.316/.342 |
| 2023 | 29 | AAASD | 518 | .276/.392/.437 | 12 | 15 | 94 | — | .241/.329/.358 |
| 2024 | 30 | AAANYM | 37 | .088/.162/.118 | 0 | 0 | -44 | — | .086/.135/.114 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 22 | A+ | Lake Elsinore Storm | — | 57 | 53 | 16 | 2 | 2 | 0 | 3 | 16 | 1 | 0 | 1 | 302 | 351 | 415 | 766 | 113 | 432 | 28 | 5 | 342 | 61 | — | — | — | — | — | — |
| 2016 | 22 | A | Fort Wayne TinCaps | — | 32 | 28 | 10 | 1 | 0 | 0 | 2 | 6 | 1 | 4 | 1 | 357 | 419 | 393 | 812 | 36 | 455 | 19 | 6 | 361 | 81 | — | — | — | — | — | — |
| 2017 | 23 | A+ | Lake Elsinore Storm | — | 344 | 303 | 74 | 15 | 5 | 1 | 27 | 81 | 5 | 2 | 2 | 244 | 316 | 337 | 653 | 92 | 326 | 24 | 8 | 290 | 32 | — | — | — | — | — | — |
| 2018 | 24 | AA | San Antonio Missions | — | 240 | 204 | 54 | 8 | 4 | 6 | 25 | 58 | 6 | 4 | 4 | 265 | 362 | 431 | 793 | 167 | 338 | 24 | 10 | 349 | 82 | — | — | — | — | — | — |
| 2018 | 24 | A+ | Lake Elsinore Storm | — | 54 | 46 | 9 | 3 | 0 | 2 | 5 | 17 | 1 | 1 | 0 | 196 | 288 | 391 | 680 | 196 | 250 | 31 | 9 | 294 | 42 | — | — | — | — | — | — |
| 2019 | 25 | AAA | El Paso Chihuahuas | — | 28 | 23 | 7 | 2 | 0 | 0 | 3 | 4 | 1 | 1 | 0 | 304 | 407 | 391 | 799 | 87 | 350 | 14 | 11 | 354 | 95 | — | — | — | — | — | — |
| 2019 | 25 | AA | Amarillo Sod Poodles | — | 239 | 203 | 56 | 10 | 1 | 4 | 29 | 54 | 6 | 6 | 3 | 276 | 382 | 394 | 776 | 118 | 359 | 23 | 12 | 354 | 63 | — | — | — | — | — | — |
| 2019 | 25 | A+ | Lake Elsinore Storm | — | 72 | 62 | 24 | 2 | 2 | 1 | 7 | 15 | 1 | 2 | 0 | 387 | 457 | 532 | 989 | 145 | 479 | 21 | 10 | 426 | 130 | — | — | — | — | — | — |
| 2019 | 25 | INTL | Canberra Cavalry | — | 76 | 63 | 20 | 4 | 1 | 5 | 12 | 8 | 1 | 0 | 2 | 317 | 434 | 651 | 1.085 | 333 | 300 | 11 | 16 | 465 | 201 | — | — | — | — | — | — |
| 2021 | 27 | AAA | El Paso Chihuahuas | — | 383 | 342 | 109 | 18 | 4 | 7 | 37 | 84 | 0 | 9 | 3 | 319 | 385 | 456 | 841 | 137 | 400 | 22 | 10 | 372 | 90 | — | — | — | — | — | — |
| 2021 | 27 | AA | San Antonio Missions | — | 84 | 67 | 18 | 5 | 0 | 1 | 14 | 14 | 1 | 2 | 3 | 269 | 402 | 388 | 790 | 119 | 315 | 17 | 17 | 356 | 92 | — | — | — | — | — | — |
| 2022 | 28 | AAA | El Paso Chihuahuas | — | 587 | 501 | 149 | 32 | 4 | 11 | 68 | 91 | 11 | 9 | 3 | 297 | 393 | 443 | 836 | 146 | 341 | 16 | 12 | 372 | 82 | — | — | — | — | — | — |
| 2022 | 28 | INTL | Tigres del Licey | — | 50 | 39 | 8 | 1 | 0 | 0 | 10 | 8 | 1 | 1 | 1 | 205 | 380 | 231 | 611 | 26 | 258 | 16 | 20 | 307 | 94 | — | — | — | — | — | — |
| 2023 | 29 | AAA | El Paso Chihuahuas | — | 518 | 428 | 118 | 29 | 2 | 12 | 75 | 86 | 8 | 15 | 5 | 276 | 392 | 437 | 829 | 161 | 316 | 17 | 14 | 370 | 94 | — | — | — | — | — | — |
| 2024 | 30 | AAA | Syracuse Mets | — | 37 | 34 | 3 | 1 | 0 | 0 | 3 | 13 | 0 | 0 | 0 | 88 | 162 | 118 | 280 | 29 | 143 | 35 | 8 | 140 | -44 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 22 | A+ MLE | Lake Elsinore Storm | — | 57 | 54 | 12 | 1 | 1 | 0 | 2 | 21 | 1 | 0 | 1 | 222 | 263 | 278 | 541 | 56 | 385 | 37 | 4 | 258 | 61 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | Fort Wayne TinCaps | — | 32 | 29 | 9 | 1 | 0 | 0 | 1 | 8 | 1 | 4 | 1 | 310 | 355 | 345 | 700 | 34 | 394 | 25 | 3 | 288 | 81 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Lake Elsinore Storm | — | 344 | 312 | 57 | 11 | 3 | 1 | 18 | 110 | 5 | 2 | 2 | 183 | 239 | 247 | 486 | 64 | 265 | 32 | 5 | 216 | 32 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | San Antonio Missions | — | 240 | 212 | 48 | 6 | 4 | 6 | 17 | 71 | 6 | 4 | 4 | 226 | 302 | 377 | 679 | 151 | 291 | 30 | 7 | 290 | 82 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | Lake Elsinore Storm | — | 54 | 48 | 7 | 2 | 0 | 2 | 3 | 24 | 1 | 1 | 0 | 146 | 212 | 312 | 524 | 167 | 210 | 44 | 6 | 231 | 42 | — | — | — | — | — | — |
| 2019 | 25 | AAA MLE | El Paso Chihuahuas | — | 28 | 24 | 7 | 2 | 0 | 0 | 2 | 5 | 1 | 1 | 0 | 292 | 370 | 375 | 745 | 83 | 306 | 18 | 7 | 308 | 95 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Amarillo Sod Poodles | — | 239 | 213 | 45 | 7 | 1 | 2 | 19 | 69 | 6 | 6 | 3 | 211 | 294 | 282 | 576 | 70 | 296 | 29 | 8 | 261 | 63 | — | — | — | — | — | — |
| 2019 | 25 | A+ MLE | Lake Elsinore Storm | — | 72 | 64 | 22 | 2 | 2 | 1 | 5 | 20 | 1 | 2 | 0 | 344 | 400 | 484 | 884 | 141 | 425 | 28 | 7 | 360 | 130 | — | — | — | — | — | — |
| 2021 | 27 | AAA MLE | El Paso Chihuahuas | — | 383 | 353 | 95 | 13 | 3 | 4 | 26 | 105 | 0 | 9 | 3 | 269 | 319 | 357 | 676 | 88 | 364 | 27 | 7 | 301 | 90 | — | — | — | — | — | — |
| 2021 | 27 | AA MLE | San Antonio Missions | — | 84 | 72 | 18 | 5 | 0 | 1 | 9 | 18 | 1 | 2 | 3 | 250 | 341 | 361 | 703 | 111 | 287 | 21 | 11 | 304 | 92 | — | — | — | — | — | — |
| 2022 | 28 | AAA MLE | El Paso Chihuahuas | — | 587 | 523 | 126 | 24 | 4 | 7 | 46 | 114 | 11 | 9 | 3 | 241 | 316 | 342 | 658 | 101 | 285 | 19 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2023 | 29 | AAA MLE | El Paso Chihuahuas | — | 518 | 453 | 109 | 25 | 2 | 8 | 52 | 105 | 8 | 15 | 5 | 241 | 329 | 358 | 687 | 117 | 289 | 20 | 10 | 307 | 94 | — | — | — | — | — | — |
| 2024 | 30 | AAA MLE | Syracuse Mets | — | 37 | 35 | 3 | 1 | 0 | 0 | 2 | 16 | 0 | 0 | 0 | 86 | 135 | 114 | 249 | 29 | 125 | 43 | 5 | 103 | -44 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | 2 teams | — | 89 | 83 | 21 | 2 | 1 | 0 | 3 | 29 | 2 | 4 | 2 | 253 | 295 | 301 | 597 | 48 | 389 | 33 | 3 | 269 | 68 | — | — | — | — | — | — |
| 2016 | 22 | A+ RAW | 2 teams | — | 89 | 81 | 26 | 3 | 2 | 0 | 5 | 22 | 2 | 4 | 2 | 321 | 375 | 407 | 782 | 86 | 441 | 25 | 6 | 349 | 68 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Lake Elsinore Storm | — | 344 | 312 | 57 | 11 | 3 | 1 | 18 | 110 | 5 | 2 | 2 | 183 | 239 | 247 | 486 | 64 | 275 | 32 | 5 | 216 | 32 | — | — | — | — | — | — |
| 2017 | 23 | A+ RAW | Lake Elsinore Storm | — | 344 | 303 | 74 | 15 | 5 | 1 | 27 | 81 | 5 | 2 | 2 | 244 | 316 | 337 | 653 | 92 | 326 | 24 | 8 | 290 | 32 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 2 teams | — | 294 | 259 | 55 | 8 | 4 | 8 | 21 | 94 | 7 | 5 | 4 | 212 | 289 | 367 | 656 | 154 | 294 | 32 | 7 | 279 | 75 | — | — | — | — | — | — |
| 2018 | 24 | AA RAW | 2 teams | — | 294 | 250 | 63 | 11 | 4 | 8 | 30 | 75 | 7 | 5 | 4 | 252 | 348 | 424 | 772 | 172 | 324 | 26 | 10 | 338 | 75 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | 4 teams | — | 415 | 370 | 88 | 13 | 3 | 4 | 32 | 116 | 9 | 9 | 5 | 238 | 314 | 322 | 635 | 84 | 332 | 28 | 8 | 286 | 80 | — | — | — | — | — | — |
| 2019 | 25 | AA RAW | 4 teams | — | 415 | 351 | 107 | 18 | 4 | 10 | 51 | 81 | 9 | 9 | 5 | 305 | 406 | 464 | 871 | 160 | 369 | 20 | 12 | 387 | 80 | — | — | — | — | — | — |
| 2021 | 27 | AAA MLE | 2 teams | — | 467 | 425 | 112 | 18 | 3 | 5 | 35 | 123 | 1 | 11 | 6 | 264 | 321 | 355 | 676 | 92 | 353 | 26 | 7 | 302 | 90 | — | — | — | — | — | — |
| 2021 | 27 | AAA RAW | 2 teams | — | 467 | 409 | 127 | 23 | 4 | 8 | 51 | 98 | 1 | 11 | 6 | 311 | 388 | 445 | 833 | 134 | 385 | 21 | 11 | 369 | 90 | — | — | — | — | — | — |
| 2022 | 28 | AAA MLE | 2 teams | — | 637 | 568 | 136 | 26 | 4 | 7 | 50 | 124 | 12 | 10 | 4 | 239 | 314 | 336 | 651 | 97 | 291 | 19 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2022 | 28 | AAA RAW | 2 teams | — | 637 | 540 | 157 | 33 | 4 | 11 | 78 | 99 | 12 | 10 | 4 | 291 | 392 | 428 | 820 | 137 | 335 | 16 | 12 | 367 | 82 | — | — | — | — | — | — |
| 2023 | 29 | AAA MLE | El Paso Chihuahuas | — | 518 | 453 | 109 | 25 | 2 | 8 | 52 | 105 | 8 | 15 | 5 | 241 | 329 | 358 | 687 | 117 | 293 | 20 | 10 | 307 | 94 | — | — | — | — | — | — |
| 2023 | 29 | AAA RAW | El Paso Chihuahuas | — | 518 | 428 | 118 | 29 | 2 | 12 | 75 | 86 | 8 | 15 | 5 | 276 | 392 | 437 | 829 | 161 | 316 | 17 | 14 | 370 | 94 | — | — | — | — | — | — |
| 2024 | 30 | AAA MLE | Syracuse Mets | — | 37 | 35 | 3 | 1 | 0 | 0 | 2 | 16 | 0 | 0 | 0 | 86 | 135 | 114 | 249 | 29 | 158 | 43 | 5 | 103 | -44 | — | — | — | — | — | — |
| 2024 | 30 | AAA RAW | Syracuse Mets | — | 37 | 34 | 3 | 1 | 0 | 0 | 3 | 13 | 0 | 0 | 0 | 88 | 162 | 118 | 280 | 29 | 143 | 35 | 8 | 140 | -44 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | 2 teams | — | 89 | 84 | 21 | 2 | 1 | 0 | 3 | 29 | 2 | 4 | 2 | 250 | 295 | 298 | 593 | 48 | 388 | 33 | 3 | 269 | 68 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Lake Elsinore Storm | — | 344 | 318 | 57 | 11 | 3 | 1 | 18 | 110 | 5 | 2 | 2 | 179 | 239 | 242 | 481 | 63 | 265 | 32 | 5 | 216 | 32 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 2 teams | — | 294 | 264 | 55 | 8 | 4 | 8 | 21 | 94 | 7 | 5 | 4 | 208 | 289 | 360 | 649 | 152 | 276 | 32 | 7 | 279 | 75 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | 4 teams | — | 415 | 371 | 88 | 13 | 3 | 4 | 32 | 116 | 9 | 9 | 5 | 237 | 314 | 321 | 635 | 84 | 324 | 28 | 8 | 286 | 80 | — | — | — | — | — | — |
| 2021 | 27 | AAA MLE | 2 teams | — | 467 | 428 | 112 | 18 | 3 | 5 | 35 | 123 | 1 | 11 | 6 | 262 | 321 | 353 | 674 | 91 | 350 | 26 | 7 | 302 | 90 | — | — | — | — | — | — |
| 2022 | 28 | AAA MLE | 2 teams | — | 637 | 570 | 136 | 26 | 4 | 7 | 50 | 124 | 12 | 10 | 4 | 239 | 314 | 335 | 649 | 96 | 285 | 19 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2023 | 29 | AAA MLE | El Paso Chihuahuas | — | 518 | 453 | 109 | 25 | 2 | 8 | 52 | 105 | 8 | 15 | 5 | 241 | 329 | 358 | 687 | 117 | 289 | 20 | 10 | 307 | 94 | — | — | — | — | — | — |
| 2024 | 30 | AAA MLE | Syracuse Mets | — | 37 | 35 | 3 | 1 | 0 | 0 | 2 | 16 | 0 | 0 | 0 | 86 | 135 | 114 | 249 | 29 | 125 | 43 | 5 | 103 | -44 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 30 | AAA MLE | Syracuse Mets | — | 37 | 35 | 3 | 1 | 0 | 0 | 2 | 16 | 0 | 0 | 0 | 86 | 135 | 114 | 249 | 29 | 125 | 43 | 5 | 103 | -44 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2801 | 2505 | 581 | 104 | 20 | 33 | 213 | 717 | 44 | 56 | 28 | 232 | 303 | 329 | 632 | 97 | 308 | 26 | 8 | 281 | 76 | -79 | +0 | -0 | -30 | +61 | -4.9 | |
| / 162G | — | MLE | — | 650 | 581 | 135 | 24 | 5 | 8 | 49 | 166 | 10 | 13 | 6 | 232 | 303 | 332 | 635 | 100 | 308 | 26 | 8 | 281 | 76 | -18 | +0 | -0 | -7 | +14 | -1.1 | |
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 AAASyracuse Mets · 37 PAwOBA .137 → .103 (−34)K% 35.1% → 43.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.14% | ÷0.968 | ×1.200 | — | — | 43.58% |
| BB% (unintentional) /PA | 8.11% | ÷0.933 | ×0.690 | — | ×0.972 | 5.83% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.972 | 0.00% |
| Singles /BIP | 9.52% | ÷1.006 | ×0.930 | — | ×0.972 | 8.56% |
| Doubles /BIP | 4.76% | ÷0.972 | ×0.830 | — | ×0.972 | 3.95% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | — | ×0.972 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.059 | ×0.700 | — | ×0.972 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — 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).
Result: wOBA .137 → .103; ISO .029 → .022; BABIP .143 → .125. 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 AAAEl Paso Chihuahuas · 518 PAwOBA .364 → .307 (−57)K% 16.6% → 20.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.60% | ÷0.985 | ×1.200 | — | — | 20.23% |
| BB% (unintentional) /PA | 14.29% | ÷0.963 | ×0.690 | — | ×0.982 | 10.05% |
| HBP% /PA | 1.54% | — | ×0.940 | — | ×0.982 | 1.43% |
| Singles /BIP | 21.93% | ÷0.958 | ×0.930 | ×1.006 | ×0.982 | 21.02% |
| Doubles /BIP | 8.48% | ÷0.975 | ×0.830 | ×1.006 | ×0.982 | 7.13% |
| Triples /BIP | 0.58% | ÷1.150 | ×0.970 | ×1.006 | ×0.982 | 0.49% |
| Home runs /BIP | 3.51% | ÷1.052 | ×0.700 | — | ×0.982 | 2.29% |
Factors used: league row International League. Park (home-season share, regressed): HR 110, 1B 92, 2B 95, 3B 130, K 97, BB 93 — 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 ×1.006.
Result: wOBA .364 → .307; ISO .161 → .124; BABIP .316 → .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 AAAEl Paso Chihuahuas · 587 PAwOBA .366 → .290 (−75)K% 15.5% → 19.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.50% | ÷0.959 | ×1.200 | — | — | 19.41% |
| BB% (unintentional) /PA | 11.41% | ÷0.990 | ×0.690 | — | ×0.992 | 7.89% |
| HBP% /PA | 1.87% | — | ×0.940 | — | ×0.992 | 1.75% |
| Singles /BIP | 24.88% | ÷1.047 | ×0.930 | ×0.996 | ×0.992 | 21.84% |
| Doubles /BIP | 7.80% | ÷1.133 | ×0.830 | ×0.996 | ×0.992 | 5.65% |
| Triples /BIP | 0.98% | ÷1.002 | ×0.970 | ×0.996 | ×0.992 | 0.93% |
| Home runs /BIP | 2.68% | ÷1.138 | ×0.700 | — | ×0.992 | 1.64% |
Factors used: league row International League. Park (home-season share, regressed): HR 128, 1B 109, 2B 127, 3B 100, K 92, BB 98 — 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 ×0.996.
Result: wOBA .366 → .290; ISO .146 → .103; BABIP .341 → .285. 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 AAAEl Paso Chihuahuas · 383 PAwOBA .366 → .301 (−64)K% 21.9% → 27.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.93% | ÷0.960 | ×1.200 | — | — | 27.42% |
| BB% (unintentional) /PA | 9.66% | ÷0.980 | ×0.690 | — | ×1.003 | 6.82% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.003 | 0.00% |
| Singles /BIP | 31.01% | ÷1.003 | ×0.930 | ×1.029 | ×1.003 | 29.68% |
| Doubles /BIP | 6.98% | ÷1.116 | ×0.830 | ×1.029 | ×1.003 | 5.36% |
| Triples /BIP | 1.55% | ÷1.099 | ×0.920 | ×1.029 | ×1.003 | 1.34% |
| Home runs /BIP | 2.71% | ÷1.154 | ×0.700 | — | ×1.003 | 1.65% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 101, 2B 123, 3B 120, K 92, BB 96 — 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 ×1.029.
Result: wOBA .366 → .301; ISO .137 → .096; BABIP .400 → .364. 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 AASan Antonio Missions · 84 PAwOBA .356 → .304 (−51)K% 16.7% → 21.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.949 | ×1.220 | — | — | 21.44% |
| BB% (unintentional) /PA | 16.67% | ÷1.028 | ×0.690 | — | ×0.978 | 10.94% |
| HBP% /PA | 1.19% | — | ×0.850 | — | ×0.978 | 0.99% |
| Singles /BIP | 22.64% | ÷0.989 | ×0.940 | ×0.984 | ×0.978 | 20.71% |
| Doubles /BIP | 9.43% | ÷0.925 | ×0.870 | ×0.984 | ×0.978 | 8.54% |
| Triples /BIP | 0.00% | ÷1.071 | ×0.920 | ×0.984 | ×0.978 | 0.00% |
| Home runs /BIP | 1.89% | ÷0.868 | ×0.780 | — | ×0.978 | 1.66% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 98, 2B 85, 3B 114, K 90, BB 106 — 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 ×0.984.
Result: wOBA .356 → .304; ISO .119 → .113; BABIP .315 → .287. 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 AAAmarillo Sod Poodles · 239 PAwOBA .344 → .261 (−83)K% 22.6% → 28.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.59% | ÷0.955 | ×1.220 | — | — | 28.87% |
| BB% (unintentional) /PA | 11.72% | ÷1.037 | ×0.700 | — | ×0.998 | 7.89% |
| HBP% /PA | 2.51% | — | ×0.870 | — | ×0.998 | 2.18% |
| Singles /BIP | 27.52% | ÷1.014 | ×0.920 | ×0.950 | ×0.998 | 23.68% |
| Doubles /BIP | 6.71% | ÷1.097 | ×0.840 | ×0.950 | ×0.998 | 4.87% |
| Triples /BIP | 0.67% | ÷1.079 | ×0.940 | ×0.950 | ×0.998 | 0.55% |
| Home runs /BIP | 2.68% | ÷1.337 | ×0.800 | — | ×0.998 | 1.60% |
Factors used: league row TL. Park (home-season share, regressed): HR 167, 1B 103, 2B 119, 3B 116, K 91, BB 107 — 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 ×0.950.
Result: wOBA .344 → .261; ISO .118 → .078; BABIP .359 → .296. 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+Lake Elsinore Storm · 72 PAwOBA .427 → .360 (−67)K% 20.8% → 28.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.83% | ÷0.987 | ×1.340 | — | — | 28.29% |
| BB% (unintentional) /PA | 9.72% | ÷0.977 | ×0.710 | — | ×0.978 | 6.91% |
| HBP% /PA | 1.39% | — | ×0.790 | — | ×0.978 | 1.07% |
| Singles /BIP | 40.43% | ÷0.990 | ×0.910 | — | ×0.978 | 36.33% |
| Doubles /BIP | 4.26% | ÷0.940 | ×0.820 | — | ×0.978 | 3.63% |
| Triples /BIP | 4.26% | ÷0.900 | ×0.760 | — | ×0.978 | 3.51% |
| Home runs /BIP | 2.13% | ÷0.900 | ×0.920 | — | ×0.978 | 2.13% |
Factors used: league row CAL. Park (home-season share, regressed): HR 80, 1B 98, 2B 88, 3B 80, K 97, BB 95 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .427 → .360; ISO .145 → .126; BABIP .479 → .425. 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 · 28 PAwOBA .359 → .308 (−51)K% 14.3% → 19.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.29% | ÷0.965 | ×1.290 | — | — | 19.09% |
| BB% (unintentional) /PA | 10.71% | ÷1.050 | ×0.710 | — | ×1.033 | 7.48% |
| HBP% /PA | 3.57% | — | ×0.980 | — | ×1.033 | 3.62% |
| Singles /BIP | 26.32% | ÷1.033 | ×0.900 | — | ×1.033 | 23.68% |
| Doubles /BIP | 10.53% | ÷1.044 | ×0.810 | — | ×1.033 | 8.44% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | — | ×1.033 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.950 | ×0.780 | — | ×1.033 | 0.00% |
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 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).
Result: wOBA .359 → .308; ISO .087 → .072; BABIP .350 → .306. 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 — .