Alexis Wilson
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 27 | INTLMexico | 180 | .178/.290/.283 | 3 | 1 | 65 | — |
| 2025 | 28 | INTLMexico Rojo | 175 | .201/.343/.309 | 3 | 0 | 87 | — |
| 2026 | 29 | INTLMayos de Navo… | 40 | .265/.359/.353 | 1 | 0 | 103 | — |
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) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK | DSL Cardinals | — | 22 | 19 | 4 | 0 | 0 | 2 | 2 | 3 | 1 | 0 | 0 | 211 | 318 | 526 | 844 | 316 | 143 | 14 | 9 | 368 | 28 | — | — | — | — | — | — |
| 2015 | 18 | ROK | DSL Cardinals | — | 115 | 101 | 25 | 6 | 4 | 2 | 10 | 16 | 4 | 0 | 0 | 248 | 339 | 446 | 785 | 198 | 277 | 14 | 9 | 348 | 31 | — | — | — | — | — | — |
| 2015 | 18 | INTL | Tomateros de Culiacan | — | 29 | 24 | 5 | 1 | 0 | 0 | 5 | 8 | 0 | 0 | 0 | 208 | 345 | 250 | 595 | 42 | 312 | 28 | 17 | 289 | 82 | — | — | — | — | — | — |
| 2016 | 19 | ROK | GCL Cardinals | — | 158 | 133 | 30 | 7 | 0 | 0 | 19 | 29 | 4 | 0 | 0 | 226 | 340 | 278 | 618 | 53 | 283 | 18 | 12 | 291 | 22 | — | — | — | — | — | — |
| 2016 | 19 | INTL | Tomateros de Culiacan | — | 62 | 59 | 14 | 3 | 0 | 2 | 1 | 19 | 0 | 0 | 0 | 237 | 250 | 390 | 640 | 153 | 316 | 31 | 2 | 272 | 70 | — | — | — | — | — | — |
| 2017 | 20 | ROK | Johnson City Cardinals | — | 120 | 102 | 26 | 7 | 1 | 2 | 15 | 16 | 1 | 0 | 0 | 255 | 356 | 402 | 758 | 147 | 279 | 13 | 12 | 337 | 54 | — | — | — | — | — | — |
| 2017 | 20 | INTL | Tomateros de Culiacan | — | 49 | 43 | 8 | 0 | 0 | 0 | 4 | 9 | 0 | 0 | 1 | 186 | 255 | 186 | 441 | 235 | 18 | 8 | 205 | 25 | — | — | — | — | — | — | |
| 2018 | 21 | A | Peoria Chiefs | — | 26 | 23 | 3 | 0 | 0 | 0 | 3 | 9 | 0 | 0 | 0 | 130 | 231 | 130 | 361 | 214 | 35 | 12 | 185 | -24 | — | — | — | — | — | — | |
| 2018 | 21 | INTL | Tomateros de Culiacan | — | 69 | 59 | 12 | 4 | 0 | 0 | 6 | 11 | 2 | 0 | 1 | 203 | 299 | 271 | 570 | 68 | 245 | 16 | 9 | 261 | 63 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Palm Beach Cardinals | — | 25 | 22 | 9 | 0 | 0 | 1 | 2 | 4 | 0 | 0 | 0 | 409 | 458 | 545 | 1.004 | 136 | 471 | 16 | 8 | 429 | 132 | — | — | — | — | — | — |
| 2019 | 22 | A | Peoria Chiefs | — | 200 | 181 | 48 | 8 | 0 | 4 | 14 | 32 | 3 | 1 | 1 | 265 | 328 | 376 | 704 | 110 | 299 | 16 | 7 | 316 | 49 | — | — | — | — | — | — |
| 2019 | 22 | INTL | Tomateros de Culiacan | — | 116 | 104 | 25 | 3 | 0 | 1 | 9 | 11 | 0 | 2 | 1 | 240 | 301 | 298 | 599 | 58 | 258 | 9 | 8 | 269 | 68 | — | — | — | — | — | — |
| 2020 | 23 | INTL | Mexico | — | 181 | 157 | 36 | 12 | 0 | 3 | 18 | 30 | 1 | 1 | 3 | 229 | 312 | 363 | 676 | 134 | 260 | 17 | 10 | 298 | 88 | — | — | — | — | — | — |
| 2021 | 24 | INTL | Mexico | — | 187 | 166 | 38 | 6 | 0 | 4 | 17 | 20 | 1 | 1 | 2 | 229 | 304 | 337 | 642 | 108 | 239 | 11 | 9 | 289 | 81 | — | — | — | — | — | — |
| 2022 | 25 | INTL | Tomateros de Culiacan | — | 96 | 85 | 17 | 5 | 0 | 0 | 8 | 22 | 1 | 1 | 0 | 200 | 277 | 259 | 535 | 59 | 266 | 23 | 8 | 246 | 53 | — | — | — | — | — | — |
| 2023 | 26 | INTL | Mexico | — | 109 | 97 | 26 | 6 | 0 | 4 | 11 | 30 | 1 | 0 | 0 | 268 | 349 | 454 | 802 | 186 | 349 | 28 | 10 | 357 | 128 | — | — | — | — | — | — |
| 2024 | 27 | INTL | Mexico | — | 180 | 152 | 27 | 7 | 0 | 3 | 19 | 32 | 5 | 1 | 1 | 178 | 290 | 283 | 573 | 105 | 203 | 18 | 11 | 264 | 65 | — | — | — | — | — | — |
| 2025 | 28 | INTL | Mexico Rojo | — | 175 | 139 | 28 | 4 | 1 | 3 | 29 | 34 | 1 | 0 | 0 | 201 | 343 | 309 | 653 | 108 | 243 | 19 | 17 | 297 | 87 | — | — | — | — | — | — |
| 2026 | 29 | INTL | Mayos de Navojoa | — | 40 | 34 | 9 | 0 | 0 | 1 | 4 | 3 | 1 | 0 | 0 | 265 | 359 | 353 | 712 | 88 | 267 | 8 | 10 | 321 | 103 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK MLE | DSL Cardinals | — | 22 | 20 | 2 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 100 | 182 | 250 | 432 | 150 | 91 | 18 | 5 | 210 | 28 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Cardinals | — | 115 | 104 | 16 | 4 | 2 | 1 | 7 | 20 | 4 | 0 | 0 | 154 | 235 | 260 | 494 | 106 | 174 | 17 | 6 | 214 | 31 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Cardinals | — | 158 | 140 | 22 | 5 | 0 | 0 | 12 | 42 | 4 | 0 | 0 | 157 | 244 | 193 | 436 | 36 | 213 | 27 | 8 | 201 | 22 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | Johnson City Cardinals | — | 120 | 108 | 21 | 5 | 1 | 2 | 9 | 23 | 1 | 0 | 0 | 194 | 263 | 315 | 578 | 120 | 217 | 19 | 8 | 248 | 54 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Peoria Chiefs | — | 26 | 24 | 2 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 0 | 83 | 154 | 83 | 237 | 189 | 46 | 8 | 133 | -24 | — | — | — | — | — | — | |
| 2019 | 22 | A+ MLE | Palm Beach Cardinals | — | 25 | 22 | 8 | 0 | 0 | 1 | 2 | 6 | 0 | 0 | 0 | 364 | 417 | 500 | 917 | 136 | 411 | 24 | 8 | 364 | 132 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | Peoria Chiefs | — | 200 | 186 | 40 | 6 | 0 | 3 | 9 | 42 | 3 | 1 | 1 | 215 | 263 | 296 | 558 | 81 | 249 | 21 | 4 | 240 | 49 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Cardinals | — | 22 | 20 | 2 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 100 | 182 | 250 | 432 | 150 | 67 | 18 | 5 | 210 | 28 | — | — | — | — | — | — |
| 2014 | 17 | ROK RAW | DSL Cardinals | — | 22 | 19 | 4 | 0 | 0 | 2 | 2 | 3 | 1 | 0 | 0 | 211 | 318 | 526 | 844 | 316 | 143 | 14 | 9 | 368 | 28 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | 2 teams | — | 144 | 131 | 19 | 4 | 3 | 1 | 9 | 24 | 4 | 0 | 0 | 145 | 222 | 244 | 466 | 99 | 170 | 17 | 6 | 214 | 31 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | 2 teams | — | 144 | 125 | 30 | 7 | 4 | 2 | 15 | 24 | 4 | 0 | 0 | 240 | 340 | 408 | 748 | 168 | 283 | 17 | 10 | 336 | 31 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | 2 teams | — | 220 | 196 | 30 | 6 | 0 | 0 | 16 | 58 | 4 | 0 | 0 | 153 | 231 | 184 | 415 | 31 | 214 | 26 | 7 | 201 | 22 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | 2 teams | — | 220 | 192 | 44 | 10 | 0 | 2 | 20 | 48 | 4 | 0 | 0 | 229 | 315 | 312 | 627 | 83 | 292 | 22 | 9 | 286 | 22 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | 2 teams | — | 169 | 151 | 29 | 7 | 1 | 2 | 13 | 32 | 1 | 0 | 1 | 192 | 261 | 291 | 552 | 99 | 227 | 19 | 8 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 20 | ROK RAW | 2 teams | — | 169 | 145 | 34 | 7 | 1 | 2 | 19 | 25 | 1 | 0 | 1 | 234 | 327 | 338 | 665 | 103 | 267 | 15 | 11 | 299 | 54 | — | — | — | — | — | — |
| 2018 | 21 | INTL MLE | 2 teams | — | 95 | 83 | 8 | 0 | 0 | 0 | 8 | 43 | 2 | 0 | 1 | 96 | 194 | 96 | 290 | 195 | 45 | 8 | 133 | -24 | — | — | — | — | — | — | |
| 2018 | 21 | INTL RAW | 2 teams | — | 95 | 82 | 15 | 4 | 0 | 0 | 9 | 20 | 2 | 0 | 1 | 183 | 280 | 232 | 511 | 49 | 238 | 21 | 9 | 240 | -24 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | 3 teams | — | 341 | 316 | 71 | 8 | 0 | 6 | 16 | 72 | 3 | 3 | 2 | 225 | 269 | 307 | 576 | 82 | 270 | 21 | 5 | 254 | 58 | — | — | — | — | — | — |
| 2019 | 22 | A RAW | 3 teams | — | 341 | 307 | 82 | 11 | 0 | 6 | 25 | 47 | 3 | 3 | 2 | 267 | 328 | 362 | 690 | 94 | 296 | 14 | 7 | 308 | 58 | — | — | — | — | — | — |
| 2020 | 23 | INTL MLE | Mexico | — | 181 | 157 | 36 | 12 | 0 | 3 | 18 | 30 | 1 | 1 | 3 | 229 | 312 | 363 | 676 | 134 | 260 | 17 | 10 | — | — | — | — | — | — | — | — |
| 2020 | 23 | INTL RAW | Mexico | — | 181 | 157 | 36 | 12 | 0 | 3 | 18 | 30 | 1 | 1 | 3 | 229 | 312 | 363 | 676 | 134 | 260 | 17 | 10 | 298 | 88 | — | — | — | — | — | — |
| 2021 | 24 | INTL MLE | Mexico | — | 187 | 166 | 38 | 6 | 0 | 4 | 17 | 20 | 1 | 1 | 2 | 229 | 304 | 337 | 642 | 108 | 239 | 11 | 9 | — | — | — | — | — | — | — | — |
| 2021 | 24 | INTL RAW | Mexico | — | 187 | 166 | 38 | 6 | 0 | 4 | 17 | 20 | 1 | 1 | 2 | 229 | 304 | 337 | 642 | 108 | 239 | 11 | 9 | 289 | 81 | — | — | — | — | — | — |
| 2022 | 25 | INTL MLE | Tomateros de Culiacan | — | 96 | 85 | 17 | 5 | 0 | 0 | 8 | 22 | 1 | 1 | 0 | 200 | 277 | 259 | 535 | 59 | 266 | 23 | 8 | — | — | — | — | — | — | — | — |
| 2022 | 25 | INTL RAW | Tomateros de Culiacan | — | 96 | 85 | 17 | 5 | 0 | 0 | 8 | 22 | 1 | 1 | 0 | 200 | 277 | 259 | 535 | 59 | 266 | 23 | 8 | 246 | 53 | — | — | — | — | — | — |
| 2023 | 26 | INTL MLE | Mexico | — | 109 | 97 | 26 | 6 | 0 | 4 | 11 | 30 | 1 | 0 | 0 | 268 | 349 | 454 | 802 | 186 | 349 | 28 | 10 | — | — | — | — | — | — | — | — |
| 2023 | 26 | INTL RAW | Mexico | — | 109 | 97 | 26 | 6 | 0 | 4 | 11 | 30 | 1 | 0 | 0 | 268 | 349 | 454 | 802 | 186 | 349 | 28 | 10 | 357 | 128 | — | — | — | — | — | — |
| 2024 | 27 | INTL MLE | Mexico | — | 180 | 152 | 27 | 7 | 0 | 3 | 19 | 32 | 5 | 1 | 1 | 178 | 290 | 283 | 573 | 105 | 203 | 18 | 11 | — | — | — | — | — | — | — | — |
| 2024 | 27 | INTL RAW | Mexico | — | 180 | 152 | 27 | 7 | 0 | 3 | 19 | 32 | 5 | 1 | 1 | 178 | 290 | 283 | 573 | 105 | 203 | 18 | 11 | 264 | 65 | — | — | — | — | — | — |
| 2025 | 28 | INTL MLE | Mexico Rojo | — | 175 | 139 | 28 | 4 | 1 | 3 | 29 | 34 | 1 | 0 | 0 | 201 | 343 | 309 | 653 | 108 | 243 | 19 | 17 | — | — | — | — | — | — | — | — |
| 2025 | 28 | INTL RAW | Mexico Rojo | — | 175 | 139 | 28 | 4 | 1 | 3 | 29 | 34 | 1 | 0 | 0 | 201 | 343 | 309 | 653 | 108 | 243 | 19 | 17 | 297 | 87 | — | — | — | — | — | — |
| 2026 | 29 | INTL MLE | Mayos de Navojoa | — | 40 | 34 | 9 | 0 | 0 | 1 | 4 | 3 | 1 | 0 | 0 | 265 | 359 | 353 | 712 | 88 | 267 | 8 | 10 | — | — | — | — | — | — | — | — |
| 2026 | 29 | INTL RAW | Mayos de Navojoa | — | 40 | 34 | 9 | 0 | 0 | 1 | 4 | 3 | 1 | 0 | 0 | 265 | 359 | 353 | 712 | 88 | 267 | 8 | 10 | 321 | 103 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Cardinals | — | 22 | 20 | 2 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 0 | 100 | 182 | 250 | 432 | 150 | 91 | 18 | 5 | 210 | 28 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | 2 teams | — | 144 | 130 | 19 | 4 | 3 | 1 | 9 | 24 | 4 | 0 | 0 | 146 | 222 | 246 | 468 | 100 | 174 | 17 | 6 | 214 | 31 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | 2 teams | — | 220 | 198 | 30 | 6 | 0 | 0 | 16 | 58 | 4 | 0 | 0 | 152 | 231 | 182 | 413 | 30 | 213 | 26 | 7 | 201 | 22 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | 2 teams | — | 169 | 153 | 29 | 7 | 1 | 2 | 13 | 32 | 1 | 0 | 1 | 190 | 261 | 288 | 548 | 98 | 217 | 19 | 8 | 248 | 54 | — | — | — | — | — | — |
| 2018 | 21 | INTL MLE | 2 teams | — | 95 | 85 | 8 | 0 | 0 | 0 | 8 | 43 | 2 | 0 | 1 | 94 | 194 | 94 | 288 | 189 | 45 | 8 | 133 | -24 | — | — | — | — | — | — | |
| 2019 | 22 | A MLE | 3 teams | — | 341 | 319 | 71 | 8 | 0 | 6 | 16 | 72 | 3 | 3 | 2 | 223 | 269 | 304 | 573 | 82 | 267 | 21 | 5 | 254 | 58 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1959 | 1727 | 340 | 65 | 5 | 28 | 169 | 404 | 26 | 7 | 10 | 197 | 278 | 289 | 567 | 92 | 238 | 21 | 9 | 113 | -38 | -321 | -3 | +0 | +35 | +42 | -25.1 | |
| / 162G | — | MLE | — | 650 | 573 | 113 | 22 | 2 | 9 | 56 | 134 | 9 | 2 | 3 | 197 | 279 | 290 | 569 | 92 | 239 | 21 | 9 | 113 | -38 | -106 | -1 | +0 | +12 | +14 | -8.3 | |
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.
2019 APeoria Chiefs · 200 PAwOBA .311 → .240 (−71)K% 16.0% → 21.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.00% | ÷1.033 | ×1.360 | — | — | 21.06% |
| BB% (unintentional) /PA | 7.00% | ÷1.073 | ×0.690 | — | ×0.990 | 4.46% |
| HBP% /PA | 1.50% | — | ×0.780 | — | ×0.990 | 1.16% |
| Singles /BIP | 24.16% | ÷0.996 | ×0.920 | ×0.950 | ×0.990 | 20.99% |
| Doubles /BIP | 5.37% | ÷1.103 | ×0.830 | ×0.950 | ×0.990 | 3.80% |
| Triples /BIP | 0.00% | ÷1.010 | ×0.910 | ×0.950 | ×0.990 | 0.00% |
| Home runs /BIP | 2.68% | ÷1.105 | ×0.800 | — | ×0.990 | 1.92% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 99, 2B 121, 3B 102, K 107, BB 115 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .311 → .240; ISO .110 → .078; BABIP .299 → .249. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2019 A+Palm Beach Cardinals · 25 PAwOBA .417 → .364 (−53)K% 16.0% → 22.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.00% | ÷1.014 | ×1.420 | — | — | 22.41% |
| BB% (unintentional) /PA | 8.00% | ÷0.991 | ×0.750 | — | ×0.998 | 6.04% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.998 | 0.00% |
| Singles /BIP | 44.44% | ÷1.048 | ×0.920 | — | ×0.998 | 38.93% |
| Doubles /BIP | 0.00% | ÷1.047 | ×0.960 | — | ×0.998 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | — | ×0.998 | 0.00% |
| Home runs /BIP | 5.56% | ÷0.912 | ×0.880 | — | ×0.998 | 5.35% |
Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 110, 2B 109, 3B 80, K 103, BB 98 — 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).
Result: wOBA .417 → .364; ISO .136 → .130; BABIP .471 → .411. 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 APeoria Chiefs · 26 PAwOBA .181 → .133 (−48)K% 34.6% → 45.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.62% | ÷1.030 | ×1.360 | — | — | 45.69% |
| BB% (unintentional) /PA | 11.54% | ÷0.987 | ×0.690 | — | — | 8.06% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 21.43% | ÷1.041 | ×0.920 | — | — | 18.93% |
| Doubles /BIP | 0.00% | ÷0.968 | ×0.830 | — | — | 0.00% |
| Triples /BIP | 0.00% | ÷0.948 | ×0.910 | — | — | 0.00% |
| Home runs /BIP | 0.00% | ÷0.981 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 108, 2B 94, 3B 90, K 106, BB 97 — 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).
Result: wOBA .181 → .133; ISO .000 → .000; BABIP .214 → .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).
2017 ROKJohnson City Cardinals · 120 PAwOBA .334 → .248 (−86)K% 13.3% → 18.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.33% | ÷1.000 | ×1.420 | — | — | 18.93% |
| BB% (unintentional) /PA | 12.50% | ÷1.000 | ×0.640 | — | ×0.985 | 7.88% |
| HBP% /PA | 0.83% | — | ×0.740 | — | ×0.985 | 0.61% |
| Singles /BIP | 18.60% | ÷1.000 | ×0.840 | ×0.983 | ×0.985 | 15.14% |
| Doubles /BIP | 8.14% | ÷1.000 | ×0.740 | ×0.983 | ×0.985 | 5.83% |
| Triples /BIP | 1.16% | ÷1.000 | ×0.740 | ×0.983 | ×0.985 | 0.83% |
| Home runs /BIP | 2.33% | ÷1.000 | ×0.800 | — | ×0.985 | 1.83% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.
Result: wOBA .334 → .248; ISO .147 → .111; BABIP .279 → .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).
2016 ROKGCL Cardinals · 158 PAwOBA .288 → .201 (−88)K% 18.4% → 26.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.35% | ÷1.000 | ×1.440 | — | — | 26.43% |
| BB% (unintentional) /PA | 12.03% | ÷1.000 | ×0.620 | — | ×0.995 | 7.42% |
| HBP% /PA | 2.53% | — | ×0.720 | — | ×0.995 | 1.81% |
| Singles /BIP | 22.12% | ÷1.000 | ×0.820 | ×0.950 | ×0.995 | 17.14% |
| Doubles /BIP | 6.73% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 4.58% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×0.950 | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.995 | 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 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 .288 → .201; ISO .053 → .035; BABIP .283 → .213. 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).
2015 DSLDSL Cardinals · 115 PAwOBA .339 → .214 (−125)K% 13.9% → 17.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.91% | ÷1.000 | ×1.220 | — | — | 16.97% |
| BB% (unintentional) /PA | 8.70% | ÷1.000 | ×0.700 | — | ×0.995 | 6.06% |
| HBP% /PA | 3.48% | — | ×0.700 | — | ×0.995 | 2.42% |
| Singles /BIP | 15.29% | ÷1.000 | ×0.680 | ×0.990 | ×0.995 | 10.25% |
| Doubles /BIP | 7.06% | ÷1.000 | ×0.600 | ×0.990 | ×0.995 | 4.17% |
| Triples /BIP | 4.71% | ÷1.000 | ×0.600 | ×0.990 | ×0.995 | 2.78% |
| Home runs /BIP | 2.35% | ÷1.000 | ×0.470 | — | ×0.995 | 1.10% |
Factors used: level-wide DSL 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 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.
Result: wOBA .339 → .214; ISO .198 → .111; BABIP .277 → .174. 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 DSLDSL Cardinals · 22 PAwOBA .358 → .210 (−147)K% 13.6% → 16.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.64% | ÷1.000 | ×1.220 | — | — | 16.64% |
| BB% (unintentional) /PA | 9.09% | ÷1.000 | ×0.700 | — | ×1.008 | 6.41% |
| HBP% /PA | 4.55% | — | ×0.700 | — | ×1.008 | 3.21% |
| Singles /BIP | 12.50% | ÷1.000 | ×0.680 | — | ×1.008 | 8.56% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×1.008 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | — | ×1.008 | 0.00% |
| Home runs /BIP | 12.50% | ÷1.000 | ×0.470 | — | ×1.008 | 5.92% |
Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average).
Result: wOBA .358 → .210; ISO .316 → .152; BABIP .143 → .091. 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 — .