Carlos Asuaje
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 26 | AAA/INTL2 orgs | 231 | .305/.388/.460 | 3 | 0 | 90 | — | .244/.306/.333 | |
| 2018 | 26 | MLBSD | 218 | .196/.290/.280 | 2 | 1 | 64 | -0.6 | ||
| 2019 | 27 | AAA/INTL2 orgs | 235 | .267/.365/.431 | 6 | 1 | 81 | — | .181/.261/.295 | |
| 2021 | 29 | AAAOklahoma City… | 300 | .249/.342/.345 | 2 | 7 | 69 | — | .228/.295/.305 | |
| 2022 | 30 | No MLB games played | ||||||||
| 2023 | 31 | No MLB games played | ||||||||
| 2024 | 32 | No MLB games played | ||||||||
| 2025 | 33 | No MLB games played | ||||||||
| 2026 | 34 | No MLB games played | ||||||||
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 | 22 | A+ | Salem Red Sox | — | 176 | 155 | 50 | 14 | 2 | 4 | 18 | 34 | 2 | 1 | 3 | 323 | 400 | 516 | 916 | 194 | 390 | 19 | 10 | 402 | 95 | — | — | — | — | — | — |
| 2014 | 22 | A | Greenville Drive | — | 383 | 325 | 99 | 24 | 10 | 11 | 41 | 56 | 9 | 7 | 4 | 305 | 397 | 542 | 939 | 237 | 333 | 15 | 11 | 402 | 107 | — | — | — | — | — | — |
| 2015 | 23 | AA | Portland Sea Dogs | — | 570 | 495 | 124 | 23 | 7 | 8 | 56 | 88 | 7 | 9 | 6 | 251 | 335 | 374 | 709 | 123 | 289 | 15 | 10 | 315 | 74 | — | — | — | — | — | — |
| 2015 | 23 | INTL | Scottsdale Scorpions | — | 79 | 73 | 24 | 2 | 1 | 1 | 3 | 17 | 1 | 3 | 4 | 329 | 364 | 425 | 788 | 96 | 411 | 22 | 4 | 344 | 119 | — | — | — | — | — | — |
| 2016 | 24 | MLB | San Diego Padres | — | 25 | 24 | 5 | 2 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 208 | 240 | 292 | 532 | 83 | 250 | 16 | 4 | 239 | 53 | -1 | +0 | -1 | +3 | +1 | 0.1 |
| 2016 | 24 | AAA | El Paso Chihuahuas | — | 597 | 535 | 172 | 32 | 11 | 9 | 49 | 82 | 3 | 10 | 5 | 321 | 382 | 473 | 854 | 151 | 363 | 14 | 8 | 373 | 97 | — | — | — | — | — | — |
| 2016 | 24 | INTL | Leones del Escogido | — | 94 | 79 | 19 | 1 | 1 | 0 | 9 | 9 | 3 | 1 | 0 | 241 | 341 | 278 | 619 | 38 | 264 | 10 | 10 | 285 | 79 | — | — | — | — | — | — |
| 2017 | 25 | MLB | San Diego Padres | — | 343 | 307 | 83 | 14 | 1 | 4 | 28 | 76 | 2 | 0 | 1 | 270 | 335 | 362 | 697 | 91 | 346 | 22 | 8 | 311 | 100 | -0 | -0 | +0 | +2 | +7 | 0.9 |
| 2017 | 25 | AAA | El Paso Chihuahuas | — | 277 | 228 | 57 | 9 | 5 | 3 | 40 | 33 | 4 | 1 | 1 | 250 | 371 | 373 | 744 | 123 | 278 | 12 | 14 | 335 | 76 | — | — | — | — | — | — |
| 2018 | 26 | MLB | San Diego Padres | — | 218 | 189 | 37 | 8 | 1 | 2 | 24 | 46 | 1 | 1 | 1 | 196 | 290 | 280 | 570 | 85 | 243 | 21 | 11 | 262 | 64 | -9 | -0 | -3 | +2 | +5 | -0.6 |
| 2018 | 26 | AAA | El Paso Chihuahuas | — | 199 | 175 | 55 | 10 | 5 | 2 | 16 | 26 | 5 | 0 | 1 | 314 | 388 | 463 | 851 | 149 | 358 | 13 | 8 | 373 | 83 | — | — | — | — | — | — |
| 2018 | 26 | INTL | Leones del Escogido | — | 32 | 25 | 6 | 2 | 0 | 1 | 5 | 2 | 1 | 0 | 0 | 240 | 387 | 440 | 827 | 200 | 217 | 6 | 16 | 362 | 131 | — | — | — | — | — | — |
| 2019 | 27 | AAA | Reno Aces | — | 186 | 159 | 38 | 7 | 2 | 5 | 22 | 32 | 3 | 1 | 1 | 239 | 342 | 403 | 745 | 164 | 266 | 17 | 12 | 333 | 55 | — | — | — | — | — | — |
| 2019 | 27 | INTL | Leones del Escogido | — | 49 | 43 | 16 | 4 | 0 | 1 | 6 | 6 | 0 | 0 | 0 | 372 | 449 | 535 | 984 | 163 | 417 | 12 | 12 | 436 | 181 | — | — | — | — | — | — |
| 2021 | 29 | AAA | Oklahoma City Dodgers | — | 300 | 261 | 65 | 13 | 3 | 2 | 33 | 38 | 4 | 7 | 2 | 249 | 342 | 345 | 687 | 96 | 283 | 13 | 11 | 314 | 69 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 586 | 520 | 125 | 24 | 2 | 6 | 53 | 126 | 3 | 1 | 2 | 240 | 314 | 329 | 643 | 88 | 304 | 22 | 9 | 290 | 82 | -12 | -1 | -3 | +6 | +13 | 0.3 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 22 | A+ MLE | Salem Red Sox | — | 176 | 162 | 42 | 11 | 2 | 3 | 11 | 48 | 2 | 1 | 3 | 259 | 314 | 407 | 722 | 148 | 338 | 27 | 6 | 309 | 95 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Greenville Drive | — | 383 | 339 | 87 | 18 | 10 | 9 | 27 | 79 | 9 | 7 | 4 | 257 | 328 | 448 | 776 | 192 | 290 | 21 | 7 | 326 | 107 | — | — | — | — | — | — |
| 2015 | 23 | AA MLE | Portland Sea Dogs | — | 570 | 515 | 124 | 20 | 6 | 7 | 36 | 109 | 7 | 9 | 6 | 241 | 299 | 344 | 643 | 103 | 284 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2016 | 24 | MLB MLE | San Diego Padres | — | 25 | 24 | 5 | 2 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 208 | 240 | 292 | 532 | 83 | 250 | 16 | 4 | 247 | 53 | -1 | +0 | -1 | +3 | +1 | 0.1 |
| 2016 | 24 | AAA MLE | El Paso Chihuahuas | — | 597 | 548 | 152 | 27 | 9 | 6 | 36 | 111 | 3 | 10 | 5 | 277 | 325 | 392 | 718 | 115 | 329 | 19 | 6 | 312 | 97 | — | — | — | — | — | — |
| 2017 | 25 | MLB MLE | San Diego Padres | — | 343 | 307 | 84 | 15 | 1 | 4 | 28 | 76 | 2 | 0 | 1 | 274 | 338 | 368 | 706 | 94 | 346 | 22 | 8 | 316 | 100 | -0 | -0 | +0 | +2 | +7 | 0.9 |
| 2017 | 25 | AAA MLE | El Paso Chihuahuas | — | 277 | 237 | 50 | 8 | 4 | 2 | 31 | 42 | 4 | 1 | 1 | 211 | 312 | 304 | 616 | 93 | 243 | 15 | 11 | 281 | 76 | — | — | — | — | — | — |
| 2018 | 26 | MLB MLE | San Diego Padres | — | 218 | 190 | 38 | 9 | 1 | 2 | 23 | 46 | 1 | 1 | 1 | 200 | 290 | 289 | 579 | 89 | 243 | 21 | 11 | 262 | 64 | -9 | -0 | -3 | +2 | +5 | -0.6 |
| 2018 | 26 | AAA MLE | El Paso Chihuahuas | — | 199 | 180 | 44 | 7 | 3 | 1 | 11 | 34 | 5 | 0 | 1 | 244 | 306 | 333 | 639 | 89 | 293 | 17 | 6 | 291 | 83 | — | — | — | — | — | — |
| 2019 | 27 | AAA MLE | Reno Aces | — | 186 | 166 | 30 | 5 | 1 | 4 | 15 | 43 | 3 | 1 | 1 | 181 | 261 | 295 | 556 | 114 | 213 | 23 | 8 | 250 | 55 | — | — | — | — | — | — |
| 2021 | 29 | AAA MLE | Oklahoma City Dodgers | — | 300 | 272 | 62 | 12 | 3 | 1 | 22 | 46 | 4 | 7 | 2 | 228 | 295 | 305 | 600 | 77 | 266 | 15 | 7 | 270 | 69 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | 2 teams | — | 559 | 501 | 128 | 29 | 12 | 12 | 38 | 127 | 11 | 8 | 7 | 255 | 322 | 433 | 755 | 178 | 314 | 23 | 7 | 321 | 103 | — | — | — | — | — | — |
| 2014 | 22 | A RAW | 2 teams | — | 559 | 480 | 149 | 38 | 12 | 15 | 59 | 90 | 11 | 8 | 7 | 310 | 398 | 533 | 932 | 223 | 351 | 16 | 11 | 402 | 103 | — | — | — | — | — | — |
| 2015 | 23 | AA MLE | 2 teams | — | 649 | 585 | 141 | 23 | 7 | 7 | 42 | 125 | 8 | 12 | 10 | 241 | 301 | 340 | 641 | 99 | 294 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2015 | 23 | AA RAW | 2 teams | — | 649 | 568 | 148 | 25 | 8 | 9 | 59 | 105 | 8 | 12 | 10 | 261 | 339 | 380 | 719 | 120 | 304 | 16 | 9 | 319 | 74 | — | — | — | — | — | — |
| 2016 | 24 | AAA MLE | 3 teams | — | 716 | 655 | 181 | 34 | 10 | 7 | 42 | 132 | 6 | 11 | 5 | 276 | 326 | 391 | 717 | 115 | 333 | 18 | 6 | 309 | 96 | — | — | — | — | — | — |
| 2016 | 24 | AAA RAW | 3 teams | — | 716 | 638 | 196 | 35 | 12 | 9 | 59 | 95 | 6 | 11 | 5 | 307 | 371 | 442 | 813 | 135 | 346 | 13 | 8 | 357 | 96 | — | — | — | — | — | — |
| 2017 | 25 | MLB MLE | 2 teams | — | 620 | 544 | 135 | 23 | 5 | 6 | 59 | 118 | 6 | 1 | 2 | 248 | 328 | 342 | 670 | 94 | 305 | 19 | 10 | 300 | 89 | -8 | -1 | +0 | +2 | +13 | 0.7 |
| 2017 | 25 | MLB RAW | 2 teams | — | 620 | 535 | 140 | 23 | 6 | 7 | 68 | 109 | 6 | 1 | 2 | 262 | 351 | 366 | 718 | 105 | 315 | 18 | 11 | 322 | 89 | -8 | -1 | +0 | +2 | +13 | 0.7 |
| 2018 | 26 | MLB MLE | 3 teams | — | 449 | 398 | 89 | 17 | 5 | 4 | 36 | 86 | 7 | 1 | 2 | 224 | 299 | 322 | 621 | 98 | 272 | 19 | 8 | 276 | 73 | -14 | -1 | -3 | +2 | +10 | -0.7 |
| 2018 | 26 | MLB RAW | 3 teams | — | 449 | 389 | 98 | 20 | 6 | 5 | 45 | 74 | 7 | 1 | 2 | 252 | 340 | 373 | 713 | 121 | 295 | 16 | 10 | 318 | 73 | -14 | -1 | -3 | +2 | +10 | -0.7 |
| 2019 | 27 | AAA MLE | 2 teams | — | 235 | 211 | 38 | 7 | 2 | 4 | 19 | 54 | 3 | 1 | 1 | 180 | 258 | 289 | 547 | 109 | 219 | 23 | 8 | 250 | 55 | — | — | — | — | — | — |
| 2019 | 27 | AAA RAW | 2 teams | — | 235 | 202 | 54 | 11 | 2 | 6 | 28 | 38 | 3 | 1 | 1 | 267 | 365 | 431 | 795 | 163 | 300 | 16 | 12 | 354 | 55 | — | — | — | — | — | — |
| 2021 | 29 | AAA MLE | Oklahoma City Dodgers | — | 300 | 272 | 62 | 12 | 3 | 1 | 22 | 46 | 4 | 7 | 2 | 228 | 295 | 305 | 600 | 77 | 269 | 15 | 7 | 270 | 69 | — | — | — | — | — | — |
| 2021 | 29 | AAA RAW | Oklahoma City Dodgers | — | 300 | 261 | 65 | 13 | 3 | 2 | 33 | 38 | 4 | 7 | 2 | 249 | 342 | 345 | 687 | 96 | 283 | 13 | 11 | 314 | 69 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | 2 teams | — | 559 | 505 | 128 | 29 | 12 | 12 | 38 | 127 | 11 | 8 | 7 | 253 | 322 | 430 | 752 | 176 | 305 | 23 | 7 | 321 | 103 | — | — | — | — | — | — |
| 2015 | 23 | AA MLE | 2 teams | — | 649 | 594 | 141 | 23 | 7 | 7 | 42 | 125 | 8 | 12 | 10 | 237 | 301 | 335 | 636 | 98 | 284 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2016 | 24 | AAA MLE | 3 teams | — | 716 | 662 | 181 | 34 | 10 | 7 | 42 | 132 | 6 | 11 | 5 | 273 | 326 | 387 | 712 | 113 | 326 | 18 | 6 | 309 | 96 | — | — | — | — | — | — |
| 2017 | 25 | MLB MLE | 2 teams | — | 620 | 550 | 135 | 23 | 5 | 6 | 59 | 118 | 6 | 1 | 2 | 245 | 328 | 338 | 667 | 93 | 300 | 19 | 10 | 300 | 89 | — | — | — | — | — | — |
| 2018 | 26 | MLB MLE | 3 teams | — | 449 | 403 | 89 | 17 | 5 | 4 | 36 | 86 | 7 | 1 | 2 | 221 | 299 | 318 | 617 | 97 | 267 | 19 | 8 | 276 | 73 | — | — | — | — | — | — |
| 2019 | 27 | AAA MLE | 2 teams | — | 235 | 211 | 38 | 7 | 2 | 4 | 19 | 54 | 3 | 1 | 1 | 180 | 258 | 289 | 547 | 109 | 213 | 23 | 8 | 250 | 55 | — | — | — | — | — | — |
| 2021 | 29 | AAA MLE | Oklahoma City Dodgers | — | 300 | 271 | 62 | 12 | 3 | 1 | 22 | 46 | 4 | 7 | 2 | 229 | 295 | 306 | 602 | 77 | 266 | 15 | 7 | 270 | 69 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 586 | 520 | 125 | 24 | 2 | 6 | 53 | 126 | 3 | 1 | 2 | 240 | 314 | 329 | 643 | 88 | 304 | 22 | 9 | 290 | 84 | -12 | -1 | -3 | +6 | +13 | 0.3 | |
| / 162G | — | A+C | — | 650 | 577 | 139 | 27 | 2 | 7 | 59 | 140 | 3 | 1 | 2 | 241 | 315 | 331 | 646 | 90 | 304 | 22 | 9 | 290 | 84 | -14 | -1 | -4 | +7 | +14 | 0.3 | |
| Career | — | MLE | — | 3528 | 3166 | 774 | 145 | 44 | 41 | 258 | 688 | 45 | 41 | 29 | 244 | 310 | 357 | 667 | 112 | 297 | 20 | 7 | 292 | 84 | -12 | -1 | -3 | +6 | +13 | 0.3 | |
| / 162G | — | MLE | — | 650 | 583 | 143 | 27 | 8 | 8 | 48 | 127 | 8 | 8 | 5 | 245 | 311 | 360 | 672 | 115 | 298 | 20 | 7 | 292 | 84 | -14 | -1 | -4 | +7 | +14 | 0.3 | |
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.
2021 AAAOklahoma City Dodgers · 300 PAwOBA .308 → .270 (−38)K% 12.7% → 15.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.67% | ÷0.994 | ×1.200 | — | — | 15.29% |
| BB% (unintentional) /PA | 11.00% | ÷1.015 | ×0.690 | — | ×0.972 | 7.27% |
| HBP% /PA | 1.33% | — | ×0.940 | — | ×0.972 | 1.22% |
| Singles /BIP | 21.08% | ÷0.958 | ×0.930 | ×1.018 | ×0.972 | 20.25% |
| Doubles /BIP | 5.83% | ÷0.941 | ×0.830 | ×1.018 | ×0.972 | 5.09% |
| Triples /BIP | 1.35% | ÷0.900 | ×0.920 | ×1.018 | ×0.972 | 1.36% |
| Home runs /BIP | 0.90% | ÷1.016 | ×0.700 | — | ×0.972 | 0.60% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 92, 2B 88, 3B 80, K 99, BB 103 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.
Result: wOBA .308 → .270; ISO .096 → .084; BABIP .283 → .266. 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 AAAReno Aces · 186 PAwOBA .326 → .250 (−76)K% 17.2% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.20% | ÷0.970 | ×1.290 | — | — | 22.89% |
| BB% (unintentional) /PA | 11.29% | ÷0.986 | ×0.710 | — | ×0.992 | 8.07% |
| HBP% /PA | 1.61% | — | ×0.980 | — | ×0.992 | 1.57% |
| Singles /BIP | 18.90% | ÷1.035 | ×0.900 | ×0.971 | ×0.992 | 15.82% |
| Doubles /BIP | 5.51% | ÷1.025 | ×0.810 | ×0.971 | ×0.992 | 4.19% |
| Triples /BIP | 1.57% | ÷1.150 | ×0.810 | ×0.971 | ×0.992 | 1.07% |
| Home runs /BIP | 3.94% | ÷1.077 | ×0.780 | — | ×0.992 | 2.83% |
Factors used: league row PCL. Park (home-season share, regressed): HR 115, 1B 107, 2B 105, 3B 130, K 94, BB 97 — 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 ×0.971.
Result: wOBA .326 → .250; ISO .164 → .117; BABIP .266 → .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).
2018 AAAEl Paso Chihuahuas · 199 PAwOBA .364 → .291 (−73)K% 13.1% → 17.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.07% | ÷0.983 | ×1.290 | — | — | 17.15% |
| BB% (unintentional) /PA | 7.54% | ÷0.986 | ×0.710 | — | ×1.003 | 5.44% |
| HBP% /PA | 2.51% | — | ×0.980 | — | ×1.003 | 2.47% |
| Singles /BIP | 25.50% | ÷1.032 | ×0.900 | ×0.983 | ×1.003 | 21.94% |
| Doubles /BIP | 6.71% | ÷1.098 | ×0.810 | ×0.983 | ×1.003 | 4.88% |
| Triples /BIP | 3.36% | ÷1.150 | ×0.810 | ×0.983 | ×1.003 | 2.33% |
| Home runs /BIP | 1.34% | ÷1.045 | ×0.780 | — | ×1.003 | 1.01% |
Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 106, 2B 120, 3B 130, K 97, BB 97 — 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 ×0.983.
Result: wOBA .364 → .291; ISO .149 → .107; BABIP .358 → .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).
2017 AAAEl Paso Chihuahuas · 277 PAwOBA .330 → .281 (−49)K% 11.9% → 15.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.91% | ÷1.005 | ×1.290 | — | — | 15.30% |
| BB% (unintentional) /PA | 14.44% | ÷0.921 | ×0.710 | — | ×1.018 | 11.33% |
| HBP% /PA | 1.44% | — | ×0.980 | — | ×1.018 | 1.44% |
| Singles /BIP | 20.51% | ÷1.040 | ×0.900 | ×1.013 | ×1.018 | 18.31% |
| Doubles /BIP | 4.62% | ÷0.983 | ×0.810 | ×1.013 | ×1.018 | 3.92% |
| Triples /BIP | 2.56% | ÷1.049 | ×0.810 | ×1.013 | ×1.018 | 2.04% |
| Home runs /BIP | 1.54% | ÷1.087 | ×0.780 | — | ×1.018 | 1.12% |
Factors used: league row PCL. Park (home-season share, regressed): HR 117, 1B 108, 2B 97, 3B 110, K 101, BB 84 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .330 → .281; ISO .123 → .099; BABIP .278 → .243. 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 AAAEl Paso Chihuahuas · 597 PAwOBA .366 → .312 (−54)K% 13.7% → 18.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.74% | ÷0.951 | ×1.290 | — | — | 18.63% |
| BB% (unintentional) /PA | 8.21% | ÷1.004 | ×0.710 | — | ×1.033 | 6.00% |
| HBP% /PA | 0.50% | — | ×0.980 | — | ×1.033 | 0.51% |
| Singles /BIP | 26.49% | ÷1.026 | ×0.900 | ×1.027 | ×1.033 | 24.65% |
| Doubles /BIP | 7.06% | ÷0.987 | ×0.810 | ×1.027 | ×1.033 | 6.15% |
| Triples /BIP | 2.43% | ÷1.028 | ×0.810 | ×1.027 | ×1.033 | 2.03% |
| Home runs /BIP | 1.99% | ÷1.160 | ×0.780 | — | ×1.033 | 1.38% |
Factors used: league row PCL. Park (home-season share, regressed): HR 132, 1B 105, 2B 97, 3B 106, K 90, BB 101 — 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 ×1.027.
Result: wOBA .366 → .312; ISO .151 → .120; BABIP .363 → .329. 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 AAPortland Sea Dogs · 570 PAwOBA .307 → .278 (−29)K% 15.4% → 19.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.44% | ÷0.983 | ×1.220 | — | — | 19.16% |
| BB% (unintentional) /PA | 9.65% | ÷1.067 | ×0.700 | — | ×1.012 | 6.41% |
| HBP% /PA | 1.23% | — | ×0.850 | — | ×1.012 | 1.06% |
| Singles /BIP | 21.13% | ÷0.970 | ×0.970 | ×1.017 | ×1.012 | 21.75% |
| Doubles /BIP | 5.65% | ÷1.026 | ×0.860 | ×1.017 | ×1.012 | 4.88% |
| Triples /BIP | 1.72% | ÷1.150 | ×0.950 | ×1.017 | ×1.012 | 1.46% |
| Home runs /BIP | 1.97% | ÷0.994 | ×0.780 | — | ×1.012 | 1.56% |
Factors used: league row EL. Park (home-season share, regressed): HR 99, 1B 94, 2B 105, 3B 130, K 97, BB 113 — 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 ×1.017.
Result: wOBA .307 → .278; ISO .123 → .106; BABIP .289 → .284. 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 AGreenville Drive · 383 PAwOBA .398 → .326 (−72)K% 14.6% → 20.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.62% | ÷0.955 | ×1.340 | — | — | 20.51% |
| BB% (unintentional) /PA | 10.70% | ÷1.001 | ×0.660 | — | ×0.990 | 6.99% |
| HBP% /PA | 2.35% | — | ×0.770 | — | ×0.990 | 1.79% |
| Singles /BIP | 20.07% | ÷0.992 | ×0.920 | ×0.995 | ×0.990 | 18.33% |
| Doubles /BIP | 8.92% | ÷1.096 | ×0.820 | ×0.995 | ×0.990 | 6.58% |
| Triples /BIP | 3.72% | ÷0.900 | ×0.940 | ×0.995 | ×0.990 | 3.82% |
| Home runs /BIP | 4.09% | ÷1.045 | ×0.820 | — | ×0.990 | 3.18% |
Factors used: league row SAL. Park (home-season share, regressed): HR 109, 1B 98, 2B 119, 3B 80, K 91, BB 100 — 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 ×0.995.
Result: wOBA .398 → .326; ISO .237 → .198; BABIP .333 → .290. 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 A+Salem Red Sox · 176 PAwOBA .393 → .309 (−85)K% 19.3% → 27.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.32% | ÷0.998 | ×1.420 | — | — | 27.49% |
| BB% (unintentional) /PA | 10.23% | ÷1.031 | ×0.630 | — | ×0.998 | 6.24% |
| HBP% /PA | 1.14% | — | ×0.860 | — | ×0.998 | 0.98% |
| Singles /BIP | 24.79% | ÷1.015 | ×0.940 | ×0.974 | ×0.998 | 22.33% |
| Doubles /BIP | 11.57% | ÷0.997 | ×0.830 | ×0.974 | ×0.998 | 9.36% |
| Triples /BIP | 1.65% | ÷0.900 | ×0.800 | ×0.974 | ×0.998 | 1.43% |
| Home runs /BIP | 3.31% | ÷1.025 | ×0.900 | — | ×0.998 | 2.90% |
Factors used: league row CAR. Park (home-season share, regressed): HR 105, 1B 103, 2B 99, 3B 80, K 100, BB 106 — 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 .393 → .309; ISO .194 → .155; BABIP .390 → .338. 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 — .