Alex Hall
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 24 | A+/INTL2 orgs | 473 | .234/.339/.418 | 18 | 0 | 77 | — | .177/.249/.300 |
| 2024 | 25 | INTLPerth Heat | 151 | .258/.347/.523 | 8 | 0 | 141 | — | |
| 2025 | 26 | INTLPerth Heat | 159 | .329/.384/.493 | 3 | 3 | 149 | — |
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| 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 | 17 | INTL | Perth Heat | — | 59 | 51 | 10 | 0 | 0 | 0 | 6 | 14 | 0 | 1 | 0 | 196 | 281 | 196 | 477 | 270 | 24 | 10 | 224 | 38 | — | — | — | — | — | — | |
| 2017 | 18 | INTL | Perth Heat | — | 143 | 124 | 35 | 6 | 0 | 6 | 17 | 33 | 1 | 0 | 0 | 282 | 373 | 476 | 849 | 194 | 337 | 23 | 12 | 375 | 140 | — | — | — | — | — | — |
| 2018 | 19 | ROK | AZL Brewers | — | 95 | 86 | 21 | 6 | 1 | 2 | 7 | 20 | 1 | 1 | 0 | 244 | 309 | 407 | 715 | 163 | 292 | 21 | 7 | 315 | 30 | — | — | — | — | — | — |
| 2018 | 19 | INTL | Perth Heat | — | 163 | 145 | 46 | 11 | 2 | 6 | 16 | 41 | 2 | 4 | 2 | 317 | 393 | 545 | 937 | 228 | 408 | 25 | 10 | 410 | 164 | — | — | — | — | — | — |
| 2019 | 20 | ROK | AZL Brewers Blue | — | 183 | 171 | 47 | 7 | 4 | 1 | 9 | 42 | 1 | 4 | 2 | 275 | 315 | 380 | 695 | 105 | 354 | 23 | 5 | 307 | 22 | — | — | — | — | — | — |
| 2019 | 20 | INTL | Perth Heat | — | 104 | 95 | 24 | 6 | 1 | 1 | 8 | 17 | 1 | 0 | 1 | 253 | 317 | 368 | 686 | 116 | 299 | 16 | 8 | 310 | 96 | — | — | — | — | — | — |
| 2020 | 21 | INTL | Perth Heat | — | 56 | 49 | 11 | 2 | 0 | 1 | 6 | 19 | 1 | 1 | 0 | 224 | 321 | 327 | 648 | 102 | 345 | 34 | 11 | 300 | 89 | — | — | — | — | — | — |
| 2021 | 22 | A+ | Wisconsin Timber Rattlers | — | 31 | 28 | 7 | 2 | 0 | 1 | 2 | 8 | 1 | 0 | 1 | 250 | 323 | 429 | 751 | 179 | 316 | 26 | 6 | 335 | 51 | — | — | — | — | — | — |
| 2021 | 22 | A | Carolina Mudcats | — | 184 | 163 | 38 | 9 | 4 | 2 | 17 | 56 | 1 | 2 | 2 | 233 | 309 | 374 | 684 | 141 | 333 | 30 | 9 | 302 | 38 | — | — | — | — | — | — |
| 2022 | 23 | A+ | Wisconsin Timber Rattlers | — | 108 | 94 | 17 | 6 | 0 | 1 | 12 | 42 | 1 | 0 | 1 | 181 | 280 | 277 | 557 | 96 | 308 | 39 | 11 | 259 | 7 | — | — | — | — | — | — |
| 2022 | 23 | A | Carolina Mudcats | — | 54 | 48 | 5 | 1 | 0 | 1 | 6 | 25 | 0 | 1 | 0 | 104 | 204 | 188 | 391 | 83 | 182 | 46 | 11 | 190 | -39 | — | — | — | — | — | — |
| 2022 | 23 | INTL | Perth Heat | — | 159 | 139 | 50 | 11 | 1 | 8 | 20 | 29 | 0 | 0 | 0 | 360 | 440 | 626 | 1.066 | 266 | 412 | 18 | 13 | 462 | 199 | — | — | — | — | — | — |
| 2023 | 24 | A+ | Wisconsin Timber Rattlers | — | 322 | 277 | 63 | 15 | 0 | 11 | 39 | 72 | 3 | 0 | 0 | 227 | 327 | 401 | 728 | 173 | 267 | 22 | 12 | 326 | 53 | — | — | — | — | — | — |
| 2023 | 24 | INTL | Perth Heat | — | 151 | 125 | 31 | 5 | 0 | 7 | 23 | 33 | 0 | 0 | 0 | 248 | 365 | 456 | 821 | 208 | 273 | 22 | 15 | 359 | 129 | — | — | — | — | — | — |
| 2024 | 25 | INTL | Perth Heat | — | 151 | 132 | 34 | 7 | 2 | 8 | 17 | 40 | 1 | 0 | 0 | 258 | 347 | 523 | 869 | 265 | 306 | 26 | 11 | 376 | 141 | — | — | — | — | — | — |
| 2025 | 26 | INTL | Perth Heat | — | 159 | 146 | 48 | 11 | 2 | 3 | 12 | 36 | 1 | 3 | 0 | 329 | 384 | 493 | 877 | 164 | 421 | 23 | 8 | 388 | 149 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 19 | ROK MLE | AZL Brewers | — | 95 | 89 | 15 | 4 | 1 | 1 | 4 | 29 | 1 | 1 | 0 | 169 | 213 | 270 | 482 | 101 | 217 | 31 | 4 | 212 | 30 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | AZL Brewers Blue | — | 183 | 175 | 31 | 4 | 2 | 1 | 5 | 60 | 1 | 4 | 2 | 177 | 204 | 240 | 444 | 63 | 265 | 33 | 3 | 201 | 22 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | Wisconsin Timber Rattlers | — | 31 | 29 | 5 | 1 | 0 | 1 | 1 | 11 | 1 | 0 | 1 | 172 | 226 | 310 | 536 | 138 | 272 | 35 | 3 | 243 | 51 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | Carolina Mudcats | — | 184 | 168 | 29 | 6 | 3 | 1 | 12 | 77 | 1 | 2 | 2 | 173 | 232 | 262 | 494 | 89 | 293 | 42 | 7 | 225 | 38 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Wisconsin Timber Rattlers | — | 108 | 97 | 12 | 4 | 0 | 1 | 9 | 55 | 1 | 0 | 1 | 124 | 206 | 196 | 401 | 72 | 244 | 51 | 8 | 178 | 7 | — | — | — | — | — | — |
| 2022 | 23 | A MLE | Carolina Mudcats | — | 54 | 50 | 3 | 1 | 0 | 0 | 4 | 35 | 0 | 1 | 0 | 60 | 130 | 80 | 210 | 20 | 154 | 65 | 7 | 111 | -39 | — | — | — | — | — | — |
| 2023 | 24 | A+ MLE | Wisconsin Timber Rattlers | — | 322 | 293 | 52 | 12 | 0 | 8 | 25 | 96 | 3 | 0 | 0 | 177 | 249 | 300 | 550 | 123 | 230 | 30 | 8 | 246 | 53 | — | — | — | — | — | — |
| 2016 | 17 | INTL MLE | Perth Heat | — | 59 | 51 | 10 | 0 | 0 | 0 | 6 | 14 | 0 | 1 | 0 | 196 | 281 | 196 | 477 | 270 | 24 | 10 | — | — | — | — | — | — | — | — | |
| 2016 | 17 | INTL RAW | Perth Heat | — | 59 | 51 | 10 | 0 | 0 | 0 | 6 | 14 | 0 | 1 | 0 | 196 | 281 | 196 | 477 | 270 | 24 | 10 | 224 | 38 | — | — | — | — | — | — | |
| 2017 | 18 | INTL MLE | Perth Heat | — | 143 | 124 | 35 | 6 | 0 | 6 | 17 | 33 | 1 | 0 | 0 | 282 | 373 | 476 | 849 | 194 | 337 | 23 | 12 | — | — | — | — | — | — | — | — |
| 2017 | 18 | INTL RAW | Perth Heat | — | 143 | 124 | 35 | 6 | 0 | 6 | 17 | 33 | 1 | 0 | 0 | 282 | 373 | 476 | 849 | 194 | 337 | 23 | 12 | 375 | 140 | — | — | — | — | — | — |
| 2018 | 19 | INTL MLE | 2 teams | — | 258 | 242 | 40 | 10 | 2 | 4 | 12 | 78 | 3 | 5 | 2 | 165 | 214 | 273 | 487 | 107 | 224 | 30 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2018 | 19 | INTL RAW | 2 teams | — | 258 | 231 | 67 | 17 | 3 | 8 | 23 | 61 | 3 | 5 | 2 | 290 | 362 | 494 | 855 | 203 | 362 | 24 | 9 | 375 | 30 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | 2 teams | — | 287 | 274 | 50 | 7 | 4 | 1 | 9 | 95 | 2 | 4 | 3 | 182 | 214 | 248 | 462 | 66 | 272 | 33 | 3 | 201 | 22 | — | — | — | — | — | — |
| 2019 | 20 | ROK RAW | 2 teams | — | 287 | 266 | 71 | 13 | 5 | 2 | 17 | 59 | 2 | 4 | 3 | 267 | 316 | 376 | 692 | 109 | 333 | 21 | 6 | 308 | 22 | — | — | — | — | — | — |
| 2020 | 21 | INTL MLE | Perth Heat | — | 56 | 49 | 11 | 2 | 0 | 1 | 6 | 19 | 1 | 1 | 0 | 224 | 321 | 327 | 648 | 102 | 345 | 34 | 11 | — | — | — | — | — | — | — | — |
| 2020 | 21 | INTL RAW | Perth Heat | — | 56 | 49 | 11 | 2 | 0 | 1 | 6 | 19 | 1 | 1 | 0 | 224 | 321 | 327 | 648 | 102 | 345 | 34 | 11 | 300 | 89 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | 2 teams | — | 215 | 197 | 35 | 7 | 3 | 2 | 13 | 87 | 2 | 2 | 3 | 178 | 236 | 274 | 510 | 96 | 297 | 40 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2021 | 22 | A RAW | 2 teams | — | 215 | 191 | 45 | 11 | 4 | 3 | 19 | 64 | 2 | 2 | 3 | 236 | 311 | 382 | 694 | 147 | 331 | 30 | 9 | 307 | 40 | — | — | — | — | — | — |
| 2022 | 23 | INTL MLE | 3 teams | — | 321 | 293 | 28 | 9 | 0 | 2 | 26 | 177 | 1 | 1 | 1 | 96 | 172 | 147 | 319 | 51 | 226 | 55 | 8 | 156 | -8 | — | — | — | — | — | — |
| 2022 | 23 | INTL RAW | 3 teams | — | 321 | 281 | 72 | 18 | 1 | 10 | 38 | 96 | 1 | 1 | 1 | 256 | 347 | 434 | 781 | 178 | 352 | 30 | 12 | 348 | -8 | — | — | — | — | — | — |
| 2023 | 24 | A+ MLE | 2 teams | — | 473 | 429 | 77 | 18 | 0 | 12 | 37 | 140 | 3 | 0 | 0 | 179 | 249 | 305 | 555 | 126 | 231 | 30 | 8 | 246 | 53 | — | — | — | — | — | — |
| 2023 | 24 | A+ RAW | 2 teams | — | 473 | 402 | 94 | 20 | 0 | 18 | 62 | 105 | 3 | 0 | 0 | 234 | 339 | 418 | 757 | 184 | 269 | 22 | 13 | 337 | 53 | — | — | — | — | — | — |
| 2024 | 25 | INTL MLE | Perth Heat | — | 151 | 132 | 34 | 7 | 2 | 8 | 17 | 40 | 1 | 0 | 0 | 258 | 347 | 523 | 869 | 265 | 306 | 26 | 11 | — | — | — | — | — | — | — | — |
| 2024 | 25 | INTL RAW | Perth Heat | — | 151 | 132 | 34 | 7 | 2 | 8 | 17 | 40 | 1 | 0 | 0 | 258 | 347 | 523 | 869 | 265 | 306 | 26 | 11 | 376 | 141 | — | — | — | — | — | — |
| 2025 | 26 | INTL MLE | Perth Heat | — | 159 | 146 | 48 | 11 | 2 | 3 | 12 | 36 | 1 | 3 | 0 | 329 | 384 | 493 | 877 | 164 | 421 | 23 | 8 | — | — | — | — | — | — | — | — |
| 2025 | 26 | INTL RAW | Perth Heat | — | 159 | 146 | 48 | 11 | 2 | 3 | 12 | 36 | 1 | 3 | 0 | 329 | 384 | 493 | 877 | 164 | 421 | 23 | 8 | 388 | 149 | — | — | — | — | — | — |
| 2018 | 19 | INTL MLE | 2 teams | — | 258 | 241 | 40 | 10 | 2 | 4 | 12 | 78 | 3 | 5 | 2 | 166 | 214 | 274 | 488 | 108 | 217 | 30 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | 2 teams | — | 287 | 274 | 50 | 7 | 4 | 1 | 9 | 95 | 2 | 4 | 3 | 182 | 214 | 248 | 462 | 66 | 265 | 33 | 3 | 201 | 22 | — | — | — | — | — | — |
| 2021 | 22 | A MLE | 2 teams | — | 215 | 198 | 35 | 7 | 3 | 2 | 13 | 87 | 2 | 2 | 3 | 177 | 236 | 273 | 509 | 96 | 290 | 40 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2022 | 23 | INTL MLE | 3 teams | — | 321 | 291 | 28 | 9 | 0 | 2 | 26 | 177 | 1 | 1 | 1 | 96 | 172 | 148 | 320 | 52 | 214 | 55 | 8 | 156 | -8 | — | — | — | — | — | — |
| 2023 | 24 | A+ MLE | 2 teams | — | 473 | 430 | 77 | 18 | 0 | 12 | 37 | 140 | 3 | 0 | 0 | 179 | 249 | 305 | 554 | 126 | 230 | 30 | 8 | 246 | 53 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2122 | 1937 | 368 | 77 | 13 | 39 | 155 | 719 | 15 | 17 | 9 | 190 | 255 | 304 | 559 | 114 | 276 | 34 | 7 | 154 | -9 | -276 | -0 | +0 | +38 | +46 | -19.6 | |
| / 162G | — | MLE | — | 650 | 593 | 113 | 24 | 4 | 12 | 47 | 220 | 5 | 5 | 3 | 191 | 256 | 305 | 561 | 115 | 277 | 34 | 7 | 154 | -9 | -85 | -0 | +0 | +12 | +14 | -6.0 | |
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 A+Wisconsin Timber Rattlers · 322 PAwOBA .317 → .246 (−70)K% 22.4% → 29.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.36% | ÷0.955 | ×1.270 | — | — | 29.73% |
| BB% (unintentional) /PA | 11.49% | ÷1.024 | ×0.710 | — | ×0.988 | 7.87% |
| HBP% /PA | 0.93% | — | ×0.790 | — | ×0.988 | 0.73% |
| Singles /BIP | 18.05% | ÷1.013 | ×0.920 | ×0.994 | ×0.988 | 16.10% |
| Doubles /BIP | 7.32% | ÷0.966 | ×0.810 | ×0.994 | ×0.988 | 6.03% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | ×0.994 | ×0.988 | 0.00% |
| Home runs /BIP | 5.37% | ÷1.033 | ×0.800 | — | ×0.988 | 4.10% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 107, 1B 103, 2B 93, 3B 130, K 91, BB 105 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .317 → .246; ISO .173 → .131; BABIP .267 → .230. 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 A+Wisconsin Timber Rattlers · 108 PAwOBA .255 → .178 (−76)K% 38.9% → 50.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 38.89% | ÷0.977 | ×1.270 | — | — | 50.56% |
| BB% (unintentional) /PA | 11.11% | ÷0.944 | ×0.710 | — | ×0.998 | 8.34% |
| HBP% /PA | 0.93% | — | ×0.790 | — | ×0.998 | 0.73% |
| Singles /BIP | 19.23% | ÷1.083 | ×0.920 | ×0.974 | ×0.998 | 15.88% |
| Doubles /BIP | 11.54% | ÷1.049 | ×0.810 | ×0.974 | ×0.998 | 8.66% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.850 | ×0.974 | ×0.998 | 0.00% |
| Home runs /BIP | 1.92% | ÷0.885 | ×0.800 | — | ×0.998 | 1.74% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 77, 1B 117, 2B 110, 3B 80, K 95, BB 89 — 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 ×0.974.
Result: wOBA .255 → .178; ISO .096 → .064; BABIP .308 → .244. 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 ACarolina Mudcats · 54 PAwOBA .186 → .111 (−75)K% 46.3% → 64.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 46.30% | ÷0.977 | ×1.360 | — | — | 64.45% |
| BB% (unintentional) /PA | 11.11% | ÷0.975 | ×0.690 | — | ×0.990 | 7.78% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.990 | 0.00% |
| Singles /BIP | 13.04% | ÷1.034 | ×0.920 | — | ×0.990 | 11.49% |
| Doubles /BIP | 4.35% | ÷1.036 | ×0.830 | — | ×0.990 | 3.45% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 4.35% | ÷1.136 | ×0.800 | — | ×0.990 | 3.03% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 107, 2B 107, 3B 130, K 95, BB 95 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).
Result: wOBA .186 → .111; ISO .083 → .039; BABIP .182 → .154. 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 ACarolina Mudcats · 184 PAwOBA .299 → .225 (−75)K% 30.4% → 41.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.43% | ÷0.996 | ×1.360 | — | — | 41.58% |
| BB% (unintentional) /PA | 9.24% | ÷1.017 | ×0.690 | — | — | 6.27% |
| HBP% /PA | 0.54% | — | ×0.780 | — | — | 0.42% |
| Singles /BIP | 21.50% | ÷0.990 | ×0.920 | ×1.023 | — | 20.44% |
| Doubles /BIP | 8.41% | ÷1.177 | ×0.830 | ×1.023 | — | 6.07% |
| Triples /BIP | 3.74% | ÷1.052 | ×0.910 | ×1.023 | — | 3.31% |
| Home runs /BIP | 1.87% | ÷0.974 | ×0.800 | — | — | 1.53% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 98, 2B 135, 3B 110, K 99, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.023.
Result: wOBA .299 → .225; ISO .141 → .101; BABIP .333 → .293. 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 A+Wisconsin Timber Rattlers · 31 PAwOBA .326 → .243 (−84)K% 25.8% → 34.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.81% | ÷1.001 | ×1.350 | — | — | 34.81% |
| BB% (unintentional) /PA | 6.45% | ÷0.988 | ×0.710 | — | ×1.012 | 4.69% |
| HBP% /PA | 3.23% | — | ×0.810 | — | ×1.012 | 2.64% |
| Singles /BIP | 20.00% | ÷0.982 | ×0.910 | — | ×1.012 | 18.75% |
| Doubles /BIP | 10.00% | ÷1.132 | ×0.830 | — | ×1.012 | 7.42% |
| Triples /BIP | 0.00% | ÷0.956 | ×0.820 | — | ×1.012 | 0.00% |
| Home runs /BIP | 5.00% | ÷1.155 | ×0.830 | — | ×1.012 | 3.64% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 96, 2B 126, 3B 91, K 100, BB 98 — 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).
Result: wOBA .326 → .243; ISO .179 → .117; BABIP .316 → .272. 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 ROKAZL Brewers Blue · 183 PAwOBA .302 → .201 (−101)K% 23.0% → 33.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.95% | ÷1.000 | ×1.440 | — | — | 33.05% |
| BB% (unintentional) /PA | 4.92% | ÷1.000 | ×0.620 | — | ×0.995 | 3.03% |
| HBP% /PA | 0.55% | — | ×0.720 | — | ×0.995 | 0.39% |
| Singles /BIP | 27.13% | ÷1.000 | ×0.820 | ×0.950 | ×0.995 | 21.03% |
| Doubles /BIP | 5.43% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 3.69% |
| Triples /BIP | 3.10% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 2.11% |
| Home runs /BIP | 0.78% | ÷1.000 | ×0.780 | — | ×0.995 | 0.60% |
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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .302 → .201; ISO .105 → .066; BABIP .354 → .265. 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 ROKAZL Brewers · 95 PAwOBA .310 → .212 (−99)K% 21.1% → 30.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.05% | ÷1.000 | ×1.440 | — | — | 30.32% |
| BB% (unintentional) /PA | 7.37% | ÷1.000 | ×0.620 | — | ×1.008 | 4.60% |
| HBP% /PA | 1.05% | — | ×0.720 | — | ×1.008 | 0.76% |
| Singles /BIP | 18.18% | ÷1.000 | ×0.820 | ×0.950 | ×1.008 | 14.27% |
| Doubles /BIP | 9.09% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 6.26% |
| Triples /BIP | 1.52% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 1.04% |
| Home runs /BIP | 3.03% | ÷1.000 | ×0.780 | — | ×1.008 | 2.38% |
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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .310 → .212; ISO .163 → .110; BABIP .292 → .217. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .