Matt Winn
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 24 | AAA/AA/A+SF | 348 | .210/.291/.350 | 7 | 0 | 30 | — | .157/.221/.264 |
| 2018 | 25 | AA/A+/INTL2 orgs | 396 | .223/.310/.409 | 12 | 1 | 46 | — | .170/.226/.305 |
| 2019 | 26 | AASF | 106 | .122/.255/.211 | 1 | 0 | -4 | — | .093/.170/.165 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 22 | A | Augusta GreenJackets | — | 79 | 69 | 19 | 7 | 0 | 1 | 5 | 18 | 1 | 0 | 0 | 275 | 333 | 420 | 754 | 145 | 346 | 23 | 6 | 320 | 61 | — | — | — | — | — | — |
| 2015 | 22 | ROK | AZL Giants | — | 64 | 56 | 8 | 1 | 0 | 1 | 6 | 18 | 0 | 2 | 0 | 143 | 226 | 214 | 440 | 71 | 179 | 28 | 9 | 203 | -24 | — | — | — | — | — | — |
| 2016 | 23 | AA | Richmond Flying Squirrels | — | 59 | 56 | 14 | 3 | 0 | 2 | 3 | 12 | 0 | 0 | 0 | 250 | 288 | 411 | 699 | 161 | 286 | 20 | 5 | 309 | 53 | — | — | — | — | — | — |
| 2016 | 23 | A | Augusta GreenJackets | — | 384 | 331 | 76 | 13 | 1 | 13 | 44 | 110 | 4 | 1 | 1 | 230 | 327 | 393 | 720 | 163 | 300 | 29 | 11 | 321 | 54 | — | — | — | — | — | — |
| 2017 | 24 | AAA | Sacramento River Cats | — | 20 | 18 | 6 | 3 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 333 | 368 | 667 | 1.035 | 333 | 455 | 35 | 5 | 422 | 122 | — | — | — | — | — | — |
| 2017 | 24 | AA | Richmond Flying Squirrels | — | 47 | 40 | 5 | 0 | 0 | 0 | 7 | 17 | 0 | 0 | 0 | 125 | 255 | 125 | 380 | 217 | 36 | 15 | 200 | -10 | — | — | — | — | — | — | |
| 2017 | 24 | A+ | San Jose Giants | — | 281 | 251 | 54 | 17 | 1 | 6 | 25 | 96 | 2 | 0 | 0 | 215 | 291 | 363 | 654 | 147 | 316 | 34 | 9 | 292 | 30 | — | — | — | — | — | — |
| 2018 | 25 | AA | Richmond Flying Squirrels | — | 58 | 51 | 13 | 6 | 0 | 1 | 6 | 21 | 0 | 0 | 0 | 255 | 333 | 431 | 765 | 176 | 414 | 36 | 10 | 335 | 65 | — | — | — | — | — | — |
| 2018 | 25 | A+ | San Jose Giants | — | 285 | 258 | 60 | 15 | 3 | 9 | 25 | 108 | 1 | 0 | 0 | 233 | 303 | 419 | 721 | 186 | 362 | 38 | 9 | 319 | 34 | — | — | — | — | — | — |
| 2018 | 25 | INTL | Scottsdale Scorpions | — | 53 | 41 | 5 | 0 | 1 | 2 | 12 | 20 | 0 | 1 | 0 | 122 | 321 | 317 | 638 | 195 | 158 | 38 | 23 | 301 | 90 | — | — | — | — | — | — |
| 2019 | 26 | AA | Richmond Flying Squirrels | — | 106 | 90 | 11 | 3 | 1 | 1 | 16 | 36 | 0 | 0 | 0 | 122 | 255 | 211 | 466 | 89 | 189 | 34 | 15 | 228 | -4 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 22 | A MLE | Augusta GreenJackets | — | 79 | 71 | 16 | 5 | 0 | 1 | 3 | 24 | 1 | 0 | 0 | 225 | 267 | 338 | 605 | 113 | 296 | 30 | 4 | 259 | 61 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | AZL Giants | — | 64 | 58 | 6 | 1 | 0 | 1 | 4 | 26 | 0 | 2 | 0 | 103 | 161 | 172 | 334 | 69 | 133 | 41 | 6 | 133 | -24 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | Richmond Flying Squirrels | — | 59 | 57 | 12 | 2 | 0 | 2 | 2 | 15 | 0 | 0 | 0 | 211 | 237 | 351 | 588 | 140 | 261 | 25 | 3 | 247 | 53 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Augusta GreenJackets | — | 384 | 347 | 63 | 10 | 1 | 12 | 28 | 144 | 4 | 1 | 1 | 182 | 251 | 320 | 571 | 138 | 257 | 38 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | Sacramento River Cats | — | 20 | 18 | 5 | 2 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 278 | 316 | 556 | 871 | 278 | 392 | 45 | 5 | 348 | 122 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Richmond Flying Squirrels | — | 47 | 42 | 4 | 0 | 0 | 0 | 5 | 22 | 0 | 0 | 0 | 95 | 191 | 95 | 287 | 210 | 47 | 11 | 153 | -10 | — | — | — | — | — | — | |
| 2017 | 24 | A+ MLE | San Jose Giants | — | 281 | 258 | 41 | 12 | 1 | 5 | 18 | 126 | 2 | 0 | 0 | 159 | 219 | 271 | 491 | 112 | 267 | 45 | 6 | 212 | 30 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | Richmond Flying Squirrels | — | 58 | 53 | 11 | 5 | 0 | 1 | 4 | 26 | 0 | 0 | 0 | 208 | 263 | 358 | 622 | 151 | 383 | 45 | 7 | 265 | 65 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | San Jose Giants | — | 285 | 265 | 43 | 10 | 2 | 7 | 18 | 151 | 1 | 0 | 0 | 162 | 218 | 294 | 513 | 132 | 323 | 53 | 6 | 218 | 34 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | Richmond Flying Squirrels | — | 106 | 97 | 9 | 2 | 1 | 1 | 9 | 45 | 0 | 0 | 0 | 93 | 170 | 165 | 335 | 72 | 163 | 42 | 8 | 162 | -4 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | 2 teams | — | 143 | 129 | 22 | 6 | 0 | 2 | 7 | 50 | 1 | 2 | 0 | 171 | 219 | 264 | 483 | 93 | 247 | 35 | 5 | 203 | 23 | — | — | — | — | — | — |
| 2015 | 22 | A RAW | 2 teams | — | 143 | 125 | 27 | 8 | 0 | 2 | 11 | 36 | 1 | 2 | 0 | 216 | 285 | 328 | 613 | 112 | 275 | 25 | 8 | 267 | 23 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | 2 teams | — | 443 | 404 | 75 | 13 | 1 | 13 | 30 | 159 | 4 | 1 | 1 | 186 | 249 | 319 | 568 | 134 | 265 | 36 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2016 | 23 | A RAW | 2 teams | — | 443 | 387 | 90 | 16 | 1 | 15 | 47 | 122 | 4 | 1 | 1 | 233 | 322 | 395 | 717 | 163 | 298 | 28 | 11 | 320 | 54 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 3 teams | — | 348 | 318 | 49 | 14 | 1 | 5 | 24 | 157 | 2 | 0 | 0 | 154 | 218 | 252 | 470 | 97 | 275 | 45 | 7 | 212 | 30 | — | — | — | — | — | — |
| 2017 | 24 | A+ RAW | 3 teams | — | 348 | 309 | 65 | 20 | 1 | 7 | 33 | 120 | 2 | 0 | 0 | 210 | 291 | 350 | 640 | 139 | 312 | 34 | 9 | 287 | 30 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | 3 teams | — | 396 | 368 | 61 | 17 | 2 | 9 | 25 | 205 | 1 | 1 | 0 | 166 | 221 | 296 | 517 | 130 | 338 | 52 | 6 | 226 | 39 | — | — | — | — | — | — |
| 2018 | 25 | A+ RAW | 3 teams | — | 396 | 350 | 78 | 21 | 4 | 12 | 43 | 149 | 1 | 1 | 0 | 223 | 310 | 409 | 718 | 186 | 349 | 38 | 11 | 319 | 39 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | Richmond Flying Squirrels | — | 106 | 97 | 9 | 2 | 1 | 1 | 9 | 45 | 0 | 0 | 0 | 93 | 170 | 165 | 335 | 72 | 157 | 42 | 8 | 162 | -4 | — | — | — | — | — | — |
| 2019 | 26 | AA RAW | Richmond Flying Squirrels | — | 106 | 90 | 11 | 3 | 1 | 1 | 16 | 36 | 0 | 0 | 0 | 122 | 255 | 211 | 466 | 89 | 189 | 34 | 15 | 228 | -4 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | 2 teams | — | 143 | 134 | 22 | 6 | 0 | 2 | 7 | 50 | 1 | 2 | 0 | 164 | 219 | 254 | 473 | 90 | 223 | 35 | 5 | 203 | 23 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | 2 teams | — | 443 | 406 | 75 | 13 | 1 | 13 | 30 | 159 | 4 | 1 | 1 | 185 | 249 | 318 | 567 | 133 | 258 | 36 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 3 teams | — | 348 | 319 | 49 | 14 | 1 | 5 | 24 | 157 | 2 | 0 | 0 | 154 | 218 | 251 | 469 | 97 | 266 | 45 | 7 | 212 | 30 | — | — | — | — | — | — |
| 2018 | 25 | A+ MLE | 3 teams | — | 396 | 367 | 61 | 17 | 2 | 9 | 25 | 205 | 1 | 1 | 0 | 166 | 221 | 297 | 518 | 131 | 333 | 52 | 6 | 226 | 39 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | Richmond Flying Squirrels | — | 106 | 96 | 9 | 2 | 1 | 1 | 9 | 45 | 0 | 0 | 0 | 94 | 170 | 167 | 336 | 73 | 163 | 42 | 8 | 162 | -4 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1436 | 1316 | 216 | 52 | 5 | 30 | 95 | 616 | 8 | 4 | 1 | 164 | 225 | 280 | 504 | 116 | 274 | 43 | 7 | 222 | 37 | -108 | +0 | +0 | +26 | +31 | -5.2 | |
| / 162G | — | MLE | — | 650 | 596 | 98 | 24 | 2 | 14 | 43 | 279 | 4 | 2 | 0 | 164 | 226 | 282 | 508 | 117 | 273 | 43 | 7 | 222 | 37 | -49 | +0 | +0 | +12 | +14 | -2.3 | |
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 AARichmond Flying Squirrels · 106 PAwOBA .214 → .162 (−52)K% 34.0% → 42.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.96% | ÷0.975 | ×1.220 | — | — | 42.48% |
| BB% (unintentional) /PA | 13.21% | ÷1.011 | ×0.700 | — | ×0.978 | 8.94% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.978 | 0.00% |
| Singles /BIP | 11.11% | ÷1.020 | ×0.970 | ×0.950 | ×0.978 | 9.81% |
| Doubles /BIP | 5.56% | ÷0.916 | ×0.860 | ×0.950 | ×0.978 | 4.85% |
| Triples /BIP | 1.85% | ÷1.147 | ×0.950 | ×0.950 | ×0.978 | 1.42% |
| Home runs /BIP | 1.85% | ÷0.890 | ×0.780 | — | ×0.978 | 1.59% |
Factors used: league row EL. Park (home-season share, regressed): HR 78, 1B 104, 2B 83, 3B 129, K 95, BB 102 — 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 ×0.950.
Result: wOBA .214 → .162; ISO .089 → .071; BABIP .189 → .163. 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+San Jose Giants · 285 PAwOBA .310 → .218 (−93)K% 37.9% → 53.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.89% | ÷0.959 | ×1.340 | — | — | 52.96% |
| BB% (unintentional) /PA | 8.77% | ÷0.971 | ×0.710 | — | ×0.968 | 6.21% |
| HBP% /PA | 0.35% | — | ×0.790 | — | ×0.968 | 0.27% |
| Singles /BIP | 22.00% | ÷0.987 | ×0.910 | ×1.040 | ×0.968 | 20.42% |
| Doubles /BIP | 10.00% | ÷0.991 | ×0.820 | ×1.040 | ×0.968 | 8.33% |
| Triples /BIP | 2.00% | ÷0.900 | ×0.760 | ×1.040 | ×0.968 | 1.70% |
| Home runs /BIP | 6.00% | ÷0.924 | ×0.920 | — | ×0.968 | 5.78% |
Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 97, 2B 98, 3B 80, K 92, BB 94 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.
Result: wOBA .310 → .218; ISO .186 → .130; BABIP .362 → .323. 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 AARichmond Flying Squirrels · 58 PAwOBA .326 → .265 (−61)K% 36.2% → 45.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.21% | ÷0.975 | ×1.220 | — | — | 45.28% |
| BB% (unintentional) /PA | 10.34% | ÷0.983 | ×0.700 | — | ×0.988 | 7.28% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.988 | 0.00% |
| Singles /BIP | 20.00% | ÷0.995 | ×0.970 | — | ×0.988 | 19.26% |
| Doubles /BIP | 20.00% | ÷0.949 | ×0.860 | — | ×0.988 | 17.91% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | — | ×0.988 | 0.00% |
| Home runs /BIP | 3.33% | ÷0.869 | ×0.780 | — | ×0.988 | 2.96% |
Factors used: league row EL. Park (home-season share, regressed): HR 74, 1B 99, 2B 90, 3B 130, K 95, BB 97 — 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).
Result: wOBA .326 → .265; ISO .176 → .144; BABIP .414 → .383. 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 A+San Jose Giants · 281 PAwOBA .287 → .212 (−75)K% 34.2% → 45.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.16% | ÷1.018 | ×1.340 | — | — | 44.96% |
| BB% (unintentional) /PA | 8.90% | ÷0.968 | ×0.710 | — | ×0.978 | 6.38% |
| HBP% /PA | 0.71% | — | ×0.790 | — | ×0.978 | 0.55% |
| Singles /BIP | 19.35% | ÷0.990 | ×0.910 | ×0.990 | ×0.978 | 17.23% |
| Doubles /BIP | 10.97% | ÷1.008 | ×0.820 | ×0.990 | ×0.978 | 8.64% |
| Triples /BIP | 0.65% | ÷0.900 | ×0.760 | ×0.990 | ×0.978 | 0.53% |
| Home runs /BIP | 3.87% | ÷1.010 | ×0.920 | — | ×0.978 | 3.45% |
Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 98, 2B 102, 3B 80, K 104, BB 94 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.
Result: wOBA .287 → .212; ISO .147 → .108; BABIP .316 → .267. 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 AARichmond Flying Squirrels · 47 PAwOBA .196 → .153 (−44)K% 36.2% → 46.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.17% | ÷0.948 | ×1.220 | — | — | 46.55% |
| BB% (unintentional) /PA | 14.89% | ÷0.974 | ×0.700 | — | ×0.998 | 10.68% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.998 | 0.00% |
| Singles /BIP | 21.74% | ÷1.004 | ×0.970 | — | ×0.998 | 20.95% |
| Doubles /BIP | 0.00% | ÷1.096 | ×0.860 | — | ×0.998 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.950 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.848 | ×0.780 | — | ×0.998 | 0.00% |
Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — 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).
Result: wOBA .196 → .153; ISO .000 → .000; BABIP .217 → .210. 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 AAASacramento River Cats · 20 PAwOBA .431 → .348 (−83)K% 35.0% → 45.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.00% | ÷0.989 | ×1.290 | — | — | 45.65% |
| BB% (unintentional) /PA | 5.00% | ÷0.952 | ×0.710 | — | ×1.033 | 3.85% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.033 | 0.00% |
| Singles /BIP | 18.18% | ÷1.027 | ×0.900 | — | ×1.033 | 16.46% |
| Doubles /BIP | 27.27% | ÷0.975 | ×0.810 | — | ×1.033 | 23.41% |
| Triples /BIP | 0.00% | ÷0.920 | ×0.810 | — | ×1.033 | 0.00% |
| Home runs /BIP | 9.09% | ÷0.889 | ×0.780 | — | ×1.033 | 8.24% |
Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — 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 .431 → .348; ISO .333 → .270; BABIP .455 → .392. 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 AAugusta GreenJackets · 384 PAwOBA .315 → .248 (−67)K% 28.6% → 37.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.65% | ÷1.025 | ×1.340 | — | — | 37.46% |
| BB% (unintentional) /PA | 11.46% | ÷1.020 | ×0.660 | — | ×0.980 | 7.26% |
| HBP% /PA | 1.04% | — | ×0.770 | — | ×0.980 | 0.79% |
| Singles /BIP | 22.17% | ÷1.054 | ×0.920 | ×1.001 | ×0.980 | 19.00% |
| Doubles /BIP | 5.88% | ÷0.944 | ×0.820 | ×1.001 | ×0.980 | 5.01% |
| Triples /BIP | 0.45% | ÷0.919 | ×0.940 | ×1.001 | ×0.980 | 0.45% |
| Home runs /BIP | 5.88% | ÷0.834 | ×0.820 | — | ×0.980 | 5.67% |
Factors used: league row SAL. Park (home-season share, regressed): HR 67, 1B 111, 2B 89, 3B 84, K 105, BB 104 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.
Result: wOBA .315 → .248; ISO .163 → .145; BABIP .300 → .257. 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 AARichmond Flying Squirrels · 59 PAwOBA .301 → .247 (−53)K% 20.3% → 25.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.34% | ÷0.975 | ×1.220 | — | — | 25.45% |
| BB% (unintentional) /PA | 5.08% | ÷1.155 | ×0.700 | — | ×1.012 | 3.12% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.012 | 0.00% |
| Singles /BIP | 20.45% | ÷0.994 | ×0.970 | ×0.958 | ×1.012 | 19.34% |
| Doubles /BIP | 6.82% | ÷0.975 | ×0.860 | ×0.958 | ×1.012 | 5.83% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×0.958 | ×1.012 | 0.00% |
| Home runs /BIP | 4.55% | ÷0.978 | ×0.780 | — | ×1.012 | 3.67% |
Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 99, 2B 95, 3B 130, K 95, BB 131 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.958.
Result: wOBA .301 → .247; ISO .161 → .127; BABIP .286 → .261. 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 — .