Samar Leyva
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2023 | 28 | INTLMayos de Navo… | 108 | .214/.274/.265 | 0 | 1 | 53 | — |
| 2025 | 30 | INTLTucson Baseba… | 225 | .263/.338/.330 | 2 | 1 | 89 | — |
| 2026 | 31 | INTLMayos de Navo… | 32 | .133/.188/.300 | 1 | 0 | 34 | — |
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) | |||||||||||||||||||||||||||||||
| 2014 | 19 | AAA | Diablos Rojos del Mexico | — | 22 | 22 | 5 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 227 | 227 | 227 | 455 | 263 | 14 | 0 | 206 | 7 | — | — | — | — | — | — | |
| 2015 | 20 | AAA | Diablos Rojos del Mexico | — | 66 | 63 | 15 | 2 | 0 | 5 | 2 | 12 | 0 | 0 | 0 | 238 | 262 | 508 | 769 | 270 | 217 | 18 | 3 | 327 | 51 | — | — | — | — | — | — |
| 2016 | 21 | AAA | Guerreros de Oaxaca | — | 206 | 186 | 49 | 9 | 1 | 2 | 11 | 35 | 5 | 3 | 4 | 263 | 322 | 355 | 677 | 91 | 313 | 17 | 5 | 302 | 57 | — | — | — | — | — | — |
| 2016 | 21 | INTL | Venados de Mazatlan | — | 68 | 63 | 14 | 4 | 0 | 0 | 3 | 9 | 0 | 1 | 1 | 222 | 254 | 286 | 539 | 63 | 259 | 13 | 4 | 239 | 48 | — | — | — | — | — | — |
| 2017 | 22 | AAA | Guerreros de Oaxaca | — | 406 | 373 | 104 | 16 | 2 | 2 | 14 | 50 | 9 | 9 | 6 | 279 | 320 | 349 | 668 | 70 | 316 | 12 | 3 | 296 | 76 | — | — | — | — | — | — |
| 2017 | 22 | INTL | Yaquis de Obregon | — | 74 | 62 | 13 | 1 | 1 | 0 | 5 | 10 | 4 | 1 | 2 | 210 | 310 | 258 | 568 | 48 | 245 | 14 | 7 | 261 | 62 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Venados de Mazatlan | — | 109 | 99 | 24 | 2 | 0 | 1 | 3 | 24 | 2 | 0 | 2 | 242 | 279 | 293 | 572 | 51 | 303 | 22 | 3 | 250 | 55 | — | — | — | — | — | — |
| 2019 | 24 | AAA | Guerreros de Oaxaca | — | 454 | 419 | 130 | 37 | 6 | 10 | 14 | 59 | 12 | 15 | 8 | 310 | 351 | 499 | 849 | 189 | 336 | 13 | 3 | 366 | 83 | — | — | — | — | — | — |
| 2019 | 24 | INTL | Mayos de Navojoa | — | 67 | 59 | 10 | 1 | 0 | 0 | 1 | 14 | 5 | 1 | 2 | 169 | 246 | 186 | 433 | 17 | 222 | 21 | 1 | 206 | 26 | — | — | — | — | — | — |
| 2020 | 25 | INTL | Algodoneros de Guasave | — | 176 | 155 | 45 | 7 | 0 | 3 | 10 | 16 | 7 | 3 | 3 | 290 | 360 | 394 | 754 | 103 | 309 | 9 | 6 | 335 | 113 | — | — | — | — | — | — |
| 2021 | 26 | INTL | Mayos de Navojoa | — | 184 | 165 | 52 | 10 | 4 | 5 | 5 | 17 | 6 | 3 | 4 | 315 | 356 | 515 | 871 | 200 | 324 | 9 | 3 | 367 | 134 | — | — | — | — | — | — |
| 2022 | 27 | INTL | Mayos de Navojoa | — | 292 | 260 | 70 | 14 | 1 | 2 | 15 | 29 | 6 | 3 | 8 | 269 | 324 | 354 | 678 | 85 | 293 | 10 | 5 | 297 | 87 | — | — | — | — | — | — |
| 2023 | 28 | INTL | Mayos de Navojoa | — | 108 | 98 | 21 | 5 | 0 | 0 | 5 | 13 | 3 | 1 | 1 | 214 | 274 | 265 | 539 | 51 | 244 | 12 | 5 | 246 | 53 | — | — | — | — | — | — |
| 2025 | 30 | INTL | Tucson Baseball Team | — | 225 | 194 | 51 | 7 | 0 | 2 | 16 | 29 | 7 | 1 | 5 | 263 | 338 | 330 | 668 | 67 | 297 | 13 | 7 | 300 | 89 | — | — | — | — | — | — |
| 2026 | 31 | INTL | Mayos de Navojoa | — | 32 | 30 | 4 | 2 | 0 | 1 | 1 | 6 | 1 | 0 | 0 | 133 | 188 | 300 | 487 | 167 | 130 | 19 | 3 | 218 | 34 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 19 | AAA MLE | Diablos Rojos del Mexico | — | 22 | 22 | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 182 | 182 | 182 | 364 | 247 | 18 | 0 | 179 | 7 | — | — | — | — | — | — | |
| 2015 | 20 | AAA MLE | Diablos Rojos del Mexico | — | 66 | 64 | 12 | 2 | 0 | 3 | 1 | 16 | 0 | 0 | 0 | 188 | 200 | 359 | 559 | 172 | 198 | 24 | 2 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 21 | AAA MLE | Guerreros de Oaxaca | — | 206 | 190 | 44 | 8 | 1 | 1 | 7 | 44 | 5 | 3 | 4 | 232 | 277 | 300 | 577 | 68 | 283 | 21 | 3 | 252 | 57 | — | — | — | — | — | — |
| 2017 | 22 | AAA MLE | Guerreros de Oaxaca | — | 406 | 379 | 104 | 14 | 2 | 1 | 9 | 60 | 9 | 9 | 6 | 274 | 307 | 330 | 637 | 55 | 315 | 15 | 2 | 280 | 76 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | Guerreros de Oaxaca | — | 454 | 423 | 106 | 25 | 5 | 7 | 10 | 71 | 12 | 15 | 8 | 251 | 288 | 383 | 671 | 132 | 275 | 16 | 2 | 291 | 83 | — | — | — | — | — | — |
| 2014 | 19 | AAA MLE | Diablos Rojos del Mexico | — | 22 | 22 | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 182 | 182 | 182 | 364 | 222 | 18 | 0 | 179 | 7 | — | — | — | — | — | — | |
| 2014 | 19 | AAA RAW | Diablos Rojos del Mexico | — | 22 | 22 | 5 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 227 | 227 | 227 | 455 | 263 | 14 | 0 | 206 | 7 | — | — | — | — | — | — | |
| 2015 | 20 | AAA MLE | Diablos Rojos del Mexico | — | 66 | 64 | 12 | 2 | 0 | 3 | 1 | 16 | 0 | 0 | 0 | 188 | 200 | 359 | 559 | 172 | 200 | 24 | 2 | 243 | 51 | — | — | — | — | — | — |
| 2015 | 20 | AAA RAW | Diablos Rojos del Mexico | — | 66 | 63 | 15 | 2 | 0 | 5 | 2 | 12 | 0 | 0 | 0 | 238 | 262 | 508 | 769 | 270 | 217 | 18 | 3 | 327 | 51 | — | — | — | — | — | — |
| 2016 | 21 | AAA MLE | 2 teams | — | 274 | 254 | 58 | 10 | 1 | 2 | 10 | 58 | 5 | 4 | 5 | 228 | 271 | 299 | 571 | 71 | 287 | 21 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2016 | 21 | AAA RAW | 2 teams | — | 274 | 249 | 63 | 13 | 1 | 2 | 14 | 44 | 5 | 4 | 5 | 253 | 305 | 337 | 642 | 84 | 299 | 16 | 5 | 286 | 57 | — | — | — | — | — | — |
| 2017 | 22 | AAA MLE | 2 teams | — | 480 | 444 | 124 | 17 | 2 | 2 | 11 | 72 | 13 | 10 | 8 | 279 | 316 | 340 | 656 | 61 | 327 | 15 | 2 | 280 | 76 | — | — | — | — | — | — |
| 2017 | 22 | AAA RAW | 2 teams | — | 480 | 435 | 117 | 17 | 3 | 2 | 19 | 60 | 13 | 10 | 8 | 269 | 318 | 336 | 654 | 67 | 306 | 12 | 4 | 291 | 76 | — | — | — | — | — | — |
| 2018 | 23 | INTL MLE | Venados de Mazatlan | — | 109 | 99 | 24 | 2 | 0 | 1 | 3 | 24 | 2 | 0 | 2 | 242 | 279 | 293 | 572 | 51 | 303 | 22 | 3 | — | — | — | — | — | — | — | — |
| 2018 | 23 | INTL RAW | Venados de Mazatlan | — | 109 | 99 | 24 | 2 | 0 | 1 | 3 | 24 | 2 | 0 | 2 | 242 | 279 | 293 | 572 | 51 | 303 | 22 | 3 | 250 | 55 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 521 | 482 | 123 | 29 | 6 | 9 | 11 | 81 | 17 | 16 | 10 | 255 | 296 | 396 | 692 | 141 | 286 | 16 | 2 | 291 | 83 | — | — | — | — | — | — |
| 2019 | 24 | AAA RAW | 2 teams | — | 521 | 478 | 140 | 38 | 6 | 10 | 15 | 73 | 17 | 16 | 10 | 293 | 337 | 460 | 798 | 167 | 323 | 14 | 3 | 346 | 83 | — | — | — | — | — | — |
| 2020 | 25 | INTL MLE | Algodoneros de Guasave | — | 176 | 155 | 45 | 7 | 0 | 3 | 10 | 16 | 7 | 3 | 3 | 290 | 360 | 394 | 754 | 103 | 309 | 9 | 6 | — | — | — | — | — | — | — | — |
| 2020 | 25 | INTL RAW | Algodoneros de Guasave | — | 176 | 155 | 45 | 7 | 0 | 3 | 10 | 16 | 7 | 3 | 3 | 290 | 360 | 394 | 754 | 103 | 309 | 9 | 6 | 335 | 113 | — | — | — | — | — | — |
| 2021 | 26 | INTL MLE | Mayos de Navojoa | — | 184 | 165 | 52 | 10 | 4 | 5 | 5 | 17 | 6 | 3 | 4 | 315 | 356 | 515 | 871 | 200 | 324 | 9 | 3 | — | — | — | — | — | — | — | — |
| 2021 | 26 | INTL RAW | Mayos de Navojoa | — | 184 | 165 | 52 | 10 | 4 | 5 | 5 | 17 | 6 | 3 | 4 | 315 | 356 | 515 | 871 | 200 | 324 | 9 | 3 | 367 | 134 | — | — | — | — | — | — |
| 2022 | 27 | INTL MLE | Mayos de Navojoa | — | 292 | 260 | 70 | 14 | 1 | 2 | 15 | 29 | 6 | 3 | 8 | 269 | 324 | 354 | 678 | 85 | 293 | 10 | 5 | — | — | — | — | — | — | — | — |
| 2022 | 27 | INTL RAW | Mayos de Navojoa | — | 292 | 260 | 70 | 14 | 1 | 2 | 15 | 29 | 6 | 3 | 8 | 269 | 324 | 354 | 678 | 85 | 293 | 10 | 5 | 297 | 87 | — | — | — | — | — | — |
| 2023 | 28 | INTL MLE | Mayos de Navojoa | — | 108 | 98 | 21 | 5 | 0 | 0 | 5 | 13 | 3 | 1 | 1 | 214 | 274 | 265 | 539 | 51 | 244 | 12 | 5 | — | — | — | — | — | — | — | — |
| 2023 | 28 | INTL RAW | Mayos de Navojoa | — | 108 | 98 | 21 | 5 | 0 | 0 | 5 | 13 | 3 | 1 | 1 | 214 | 274 | 265 | 539 | 51 | 244 | 12 | 5 | 246 | 53 | — | — | — | — | — | — |
| 2025 | 30 | INTL MLE | Tucson Baseball Team | — | 225 | 194 | 51 | 7 | 0 | 2 | 16 | 29 | 7 | 1 | 5 | 263 | 338 | 330 | 668 | 67 | 297 | 13 | 7 | — | — | — | — | — | — | — | — |
| 2025 | 30 | INTL RAW | Tucson Baseball Team | — | 225 | 194 | 51 | 7 | 0 | 2 | 16 | 29 | 7 | 1 | 5 | 263 | 338 | 330 | 668 | 67 | 297 | 13 | 7 | 300 | 89 | — | — | — | — | — | — |
| 2026 | 31 | INTL MLE | Mayos de Navojoa | — | 32 | 30 | 4 | 2 | 0 | 1 | 1 | 6 | 1 | 0 | 0 | 133 | 188 | 300 | 487 | 167 | 130 | 19 | 3 | — | — | — | — | — | — | — | — |
| 2026 | 31 | INTL RAW | Mayos de Navojoa | — | 32 | 30 | 4 | 2 | 0 | 1 | 1 | 6 | 1 | 0 | 0 | 133 | 188 | 300 | 487 | 167 | 130 | 19 | 3 | 218 | 34 | — | — | — | — | — | — |
| 2014 | 19 | AAA MLE | Diablos Rojos del Mexico | — | 22 | 22 | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 182 | 182 | 182 | 364 | 247 | 18 | 0 | 179 | 7 | — | — | — | — | — | — | |
| 2015 | 20 | AAA MLE | Diablos Rojos del Mexico | — | 66 | 65 | 12 | 2 | 0 | 3 | 1 | 16 | 0 | 0 | 0 | 185 | 200 | 354 | 554 | 169 | 198 | 24 | 2 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 21 | AAA MLE | 2 teams | — | 274 | 257 | 58 | 10 | 1 | 2 | 10 | 58 | 5 | 4 | 5 | 226 | 271 | 296 | 567 | 70 | 283 | 21 | 4 | 252 | 57 | — | — | — | — | — | — |
| 2017 | 22 | AAA MLE | 2 teams | — | 480 | 453 | 124 | 17 | 2 | 2 | 11 | 72 | 13 | 10 | 8 | 274 | 316 | 333 | 650 | 60 | 315 | 15 | 2 | 280 | 76 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 521 | 488 | 123 | 29 | 6 | 9 | 11 | 81 | 17 | 16 | 10 | 252 | 296 | 391 | 687 | 139 | 275 | 16 | 2 | 291 | 83 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2489 | 2267 | 588 | 105 | 14 | 30 | 88 | 365 | 67 | 41 | 46 | 259 | 306 | 358 | 664 | 98 | 295 | 15 | 4 | 151 | -12 | -331 | -10 | +0 | +9 | +54 | -28.4 | |
| / 162G | — | MLE | — | 650 | 592 | 154 | 27 | 4 | 8 | 23 | 95 | 17 | 11 | 12 | 260 | 306 | 360 | 666 | 100 | 296 | 15 | 4 | 151 | -12 | -87 | -3 | +0 | +2 | +14 | -7.4 | |
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 AAAGuerreros de Oaxaca · 454 PAwOBA .362 → .291 (−70)K% 13.0% → 15.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.00% | ÷0.998 | ×1.200 | — | — | 15.63% |
| BB% (unintentional) /PA | 3.08% | ÷1.036 | ×0.690 | — | ×1.033 | 2.12% |
| HBP% /PA | 2.64% | — | ×0.940 | — | ×1.033 | 2.57% |
| Singles /BIP | 21.39% | ÷1.025 | ×0.930 | ×0.950 | ×1.033 | 19.04% |
| Doubles /BIP | 10.28% | ÷1.200 | ×0.830 | ×0.950 | ×1.033 | 6.98% |
| Triples /BIP | 1.67% | ÷1.058 | ×0.920 | ×0.950 | ×1.033 | 1.42% |
| Home runs /BIP | 2.78% | ÷0.972 | ×0.700 | — | ×1.033 | 2.07% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 105, 2B 140, 3B 112, K 100, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .362 → .291; ISO .189 → .138; BABIP .336 → .275. 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 AAAGuerreros de Oaxaca · 406 PAwOBA .290 → .280 (−10)K% 12.3% → 14.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.32% | ÷0.991 | ×1.200 | — | — | 14.91% |
| BB% (unintentional) /PA | 3.45% | ÷1.085 | ×0.690 | — | ×1.050 | 2.30% |
| HBP% /PA | 2.22% | — | ×0.940 | — | ×1.050 | 2.19% |
| Singles /BIP | 26.01% | ÷0.999 | ×0.930 | ×1.050 | ×1.050 | 26.69% |
| Doubles /BIP | 4.95% | ÷1.042 | ×0.830 | ×1.050 | ×1.050 | 4.35% |
| Triples /BIP | 0.62% | ÷1.135 | ×0.920 | ×1.050 | ×1.050 | 0.55% |
| Home runs /BIP | 0.62% | ÷1.121 | ×0.700 | — | ×1.050 | 0.41% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 100, 2B 108, 3B 127, K 98, BB 117 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .290 → .280; ISO .070 → .059; BABIP .316 → .315. 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 AAAGuerreros de Oaxaca · 206 PAwOBA .295 → .252 (−43)K% 17.0% → 21.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.99% | ÷0.956 | ×1.200 | — | — | 21.33% |
| BB% (unintentional) /PA | 5.34% | ÷1.092 | ×0.690 | — | ×1.050 | 3.54% |
| HBP% /PA | 2.43% | — | ×0.940 | — | ×1.050 | 2.40% |
| Singles /BIP | 24.50% | ÷1.086 | ×0.930 | ×1.024 | ×1.050 | 22.56% |
| Doubles /BIP | 5.96% | ÷1.046 | ×0.830 | ×1.024 | ×1.050 | 5.09% |
| Triples /BIP | 0.66% | ÷1.150 | ×0.920 | ×1.024 | ×1.050 | 0.57% |
| Home runs /BIP | 1.32% | ÷1.190 | ×0.700 | — | ×1.050 | 0.82% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 138, 1B 117, 2B 109, 3B 130, K 91, BB 118 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.
Result: wOBA .295 → .252; ISO .091 → .070; BABIP .313 → .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).
2015 AAADiablos Rojos del Mexico · 66 PAwOBA .317 → .243 (−74)K% 18.2% → 24.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.18% | ÷0.900 | ×1.200 | — | — | 24.24% |
| BB% (unintentional) /PA | 3.03% | ÷1.204 | ×0.690 | — | ×1.050 | 1.82% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 15.69% | ÷1.045 | ×0.930 | ×1.041 | ×1.050 | 15.26% |
| Doubles /BIP | 3.92% | ÷1.122 | ×0.830 | ×1.041 | ×1.050 | 3.17% |
| Triples /BIP | 0.00% | ÷1.123 | ×0.920 | ×1.041 | ×1.050 | 0.00% |
| Home runs /BIP | 9.80% | ÷1.043 | ×0.700 | — | ×1.050 | 6.91% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 109, 2B 124, 3B 125, K 80, BB 141 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .317 → .243; ISO .270 → .185; BABIP .217 → .198. 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 AAADiablos Rojos del Mexico · 22 PAwOBA .200 → .179 (−21)K% 13.6% → 17.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.64% | ÷0.931 | ×1.200 | — | — | 17.58% |
| BB% (unintentional) /PA | 0.00% | ÷0.991 | ×0.690 | — | ×1.050 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 26.32% | ÷1.039 | ×0.930 | — | ×1.050 | 24.73% |
| Doubles /BIP | 0.00% | ÷1.183 | ×0.830 | — | ×1.050 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | — | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.180 | ×0.700 | — | ×1.050 | 0.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 136, 1B 108, 2B 137, 3B 130, K 86, BB 98 — applied at half strength. Age: age 20 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (7.2 yr younger than average).
Result: wOBA .200 → .179; ISO .000 → .000; BABIP .263 → .247. 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 — .