Melvin Mercedes
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2022 | 30 | INTLGigantes del … | 48 | .184/.326/.237 | 0 | 0 | 65 | — |
| 2023 | 31 | INTLGigantes del … | 41 | .229/.341/.314 | 0 | 2 | 93 | — |
| 2025 | 33 | INTLGigantes del … | 72 | .182/.357/.273 | 1 | 2 | 88 | — |
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) | |||||||||||||||||||||||||||||||
| 2012 | 20 | ROK | AZL Athletics | — | 118 | 105 | 40 | 10 | 1 | 0 | 10 | 15 | 1 | 1 | 0 | 381 | 440 | 495 | 935 | 114 | 444 | 13 | 8 | 410 | 99 | — | — | — | — | — | — |
| 2014 | 22 | A | Beloit Snappers | — | 414 | 361 | 80 | 14 | 7 | 2 | 41 | 70 | 4 | 12 | 4 | 222 | 308 | 316 | 624 | 94 | 264 | 17 | 10 | 282 | 47 | — | — | — | — | — | — |
| 2015 | 23 | A+ | Stockton Ports | — | 324 | 282 | 70 | 13 | 1 | 0 | 27 | 45 | 3 | 11 | 2 | 248 | 321 | 301 | 622 | 53 | 292 | 14 | 8 | 278 | 55 | — | — | — | — | — | — |
| 2015 | 23 | A | Beloit Snappers | — | 53 | 49 | 14 | 1 | 0 | 0 | 4 | 14 | 0 | 1 | 1 | 286 | 340 | 306 | 646 | 20 | 400 | 26 | 8 | 299 | 38 | — | — | — | — | — | — |
| 2016 | 24 | A+ | Stockton Ports | — | 426 | 358 | 93 | 12 | 5 | 1 | 56 | 71 | 2 | 7 | 8 | 260 | 363 | 330 | 693 | 70 | 322 | 17 | 13 | 314 | 66 | — | — | — | — | — | — |
| 2016 | 24 | INTL | Gigantes del Cibao | — | 96 | 73 | 19 | 2 | 0 | 0 | 17 | 19 | 1 | 6 | 0 | 260 | 407 | 288 | 694 | 27 | 345 | 20 | 18 | 318 | 101 | — | — | — | — | — | — |
| 2017 | 25 | AAA | Nashville Sounds | — | 220 | 181 | 43 | 5 | 2 | 0 | 29 | 36 | 5 | 5 | 2 | 238 | 358 | 287 | 645 | 50 | 293 | 16 | 13 | 301 | 62 | — | — | — | — | — | — |
| 2017 | 25 | AA | Midland RockHounds | — | 23 | 20 | 6 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 300 | 391 | 350 | 741 | 50 | 300 | 0 | 13 | 344 | 70 | — | — | — | — | — | — |
| 2017 | 25 | INTL | Gigantes del Cibao | — | 146 | 127 | 30 | 2 | 0 | 0 | 13 | 25 | 1 | 2 | 4 | 236 | 312 | 252 | 564 | 16 | 291 | 17 | 9 | 258 | 61 | — | — | — | — | — | — |
| 2018 | 26 | AAA | Nashville Sounds | — | 167 | 142 | 33 | 3 | 3 | 0 | 20 | 31 | 3 | 1 | 3 | 232 | 339 | 296 | 635 | 63 | 295 | 19 | 12 | 295 | 58 | — | — | — | — | — | — |
| 2018 | 26 | A+ | Stockton Ports | — | 103 | 82 | 19 | 4 | 1 | 1 | 20 | 21 | 0 | 2 | 3 | 232 | 382 | 341 | 724 | 110 | 295 | 20 | 19 | 335 | 65 | — | — | — | — | — | — |
| 2018 | 26 | INTL | Gigantes del Cibao | — | 78 | 62 | 8 | 2 | 0 | 0 | 12 | 17 | 2 | 0 | 1 | 129 | 289 | 161 | 451 | 32 | 178 | 22 | 15 | 229 | 41 | — | — | — | — | — | — |
| 2019 | 27 | INTL | Gigantes del Cibao | — | 149 | 122 | 32 | 6 | 3 | 0 | 19 | 18 | 1 | 3 | 3 | 262 | 366 | 361 | 727 | 98 | 302 | 12 | 13 | 318 | 101 | — | — | — | — | — | — |
| 2020 | 28 | INTL | Gigantes del Cibao | — | 28 | 21 | 4 | 0 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 190 | 370 | 190 | 561 | 222 | 11 | 21 | 279 | 75 | — | — | — | — | — | — | |
| 2021 | 29 | INTL | Gigantes del Cibao | — | 52 | 45 | 11 | 2 | 0 | 0 | 7 | 14 | 0 | 4 | 0 | 244 | 346 | 289 | 635 | 44 | 355 | 27 | 13 | 300 | 89 | — | — | — | — | — | — |
| 2022 | 30 | INTL | Gigantes del Cibao | — | 48 | 38 | 7 | 2 | 0 | 0 | 7 | 15 | 1 | 0 | 0 | 184 | 326 | 237 | 563 | 53 | 304 | 31 | 15 | 265 | 65 | — | — | — | — | — | — |
| 2023 | 31 | INTL | Gigantes del Cibao | — | 41 | 35 | 8 | 1 | 1 | 0 | 5 | 12 | 1 | 2 | 0 | 229 | 341 | 314 | 656 | 86 | 348 | 29 | 12 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 33 | INTL | Gigantes del Cibao | — | 72 | 55 | 10 | 2 | 0 | 1 | 15 | 10 | 0 | 2 | 1 | 182 | 357 | 273 | 630 | 91 | 205 | 14 | 21 | 298 | 88 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 20 | ROK MLE | AZL Athletics | — | 118 | 109 | 33 | 7 | 1 | 0 | 6 | 22 | 1 | 1 | 0 | 303 | 345 | 385 | 730 | 83 | 368 | 19 | 5 | 314 | 99 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Beloit Snappers | — | 414 | 375 | 73 | 11 | 7 | 1 | 27 | 98 | 4 | 12 | 4 | 195 | 256 | 269 | 525 | 75 | 247 | 24 | 7 | 237 | 47 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | Stockton Ports | — | 324 | 290 | 69 | 11 | 1 | 0 | 19 | 56 | 3 | 11 | 2 | 238 | 292 | 283 | 574 | 45 | 277 | 17 | 6 | 250 | 55 | — | — | — | — | — | — |
| 2015 | 23 | A MLE | Beloit Snappers | — | 53 | 50 | 11 | 1 | 0 | 0 | 3 | 19 | 0 | 1 | 1 | 220 | 264 | 240 | 504 | 20 | 355 | 36 | 6 | 224 | 38 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | Stockton Ports | — | 426 | 377 | 90 | 11 | 4 | 1 | 37 | 92 | 2 | 7 | 8 | 239 | 310 | 297 | 607 | 58 | 301 | 22 | 9 | 266 | 66 | — | — | — | — | — | — |
| 2017 | 25 | AAA MLE | Nashville Sounds | — | 220 | 189 | 41 | 4 | 2 | 0 | 21 | 46 | 5 | 5 | 2 | 217 | 312 | 259 | 571 | 42 | 272 | 21 | 10 | 260 | 62 | — | — | — | — | — | — |
| 2017 | 25 | AA MLE | Midland RockHounds | — | 23 | 21 | 5 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 238 | 304 | 286 | 590 | 48 | 244 | 0 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2018 | 26 | AAA MLE | Nashville Sounds | — | 167 | 147 | 31 | 3 | 2 | 0 | 15 | 38 | 3 | 1 | 3 | 211 | 297 | 259 | 555 | 48 | 275 | 23 | 9 | 254 | 58 | — | — | — | — | — | — |
| 2018 | 26 | A+ MLE | Stockton Ports | — | 103 | 89 | 18 | 4 | 1 | 1 | 13 | 29 | 0 | 2 | 3 | 202 | 304 | 303 | 607 | 101 | 272 | 28 | 13 | 265 | 65 | — | — | — | — | — | — |
| 2012 | 20 | ROK MLE | AZL Athletics | — | 118 | 109 | 33 | 7 | 1 | 0 | 6 | 22 | 1 | 1 | 0 | 303 | 345 | 385 | 730 | 83 | 379 | 19 | 5 | 314 | 99 | — | — | — | — | — | — |
| 2012 | 20 | ROK RAW | AZL Athletics | — | 118 | 105 | 40 | 10 | 1 | 0 | 10 | 15 | 1 | 1 | 0 | 381 | 440 | 495 | 935 | 114 | 444 | 13 | 8 | 410 | 99 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Beloit Snappers | — | 414 | 375 | 73 | 11 | 7 | 1 | 27 | 98 | 4 | 12 | 4 | 195 | 256 | 269 | 525 | 75 | 254 | 24 | 7 | 237 | 47 | — | — | — | — | — | — |
| 2014 | 22 | A RAW | Beloit Snappers | — | 414 | 361 | 80 | 14 | 7 | 2 | 41 | 70 | 4 | 12 | 4 | 222 | 308 | 316 | 624 | 94 | 264 | 17 | 10 | 282 | 47 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | 2 teams | — | 377 | 340 | 80 | 12 | 1 | 0 | 22 | 76 | 3 | 12 | 3 | 235 | 288 | 276 | 564 | 41 | 300 | 20 | 6 | 246 | 53 | — | — | — | — | — | — |
| 2015 | 23 | A+ RAW | 2 teams | — | 377 | 331 | 84 | 14 | 1 | 0 | 31 | 59 | 3 | 12 | 3 | 254 | 323 | 302 | 625 | 48 | 305 | 16 | 8 | 281 | 53 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | 2 teams | — | 522 | 459 | 110 | 14 | 5 | 1 | 45 | 113 | 3 | 13 | 8 | 240 | 312 | 298 | 610 | 59 | 315 | 22 | 9 | 266 | 66 | — | — | — | — | — | — |
| 2016 | 24 | A+ RAW | 2 teams | — | 522 | 431 | 112 | 14 | 5 | 1 | 73 | 90 | 3 | 13 | 8 | 260 | 371 | 323 | 693 | 63 | 326 | 17 | 14 | 315 | 66 | — | — | — | — | — | — |
| 2017 | 25 | AAA MLE | 3 teams | — | 389 | 337 | 73 | 8 | 3 | 0 | 36 | 74 | 6 | 7 | 6 | 217 | 303 | 258 | 562 | 42 | 274 | 19 | 9 | 261 | 63 | — | — | — | — | — | — |
| 2017 | 25 | AAA RAW | 3 teams | — | 389 | 328 | 79 | 8 | 2 | 0 | 45 | 61 | 6 | 7 | 6 | 241 | 343 | 277 | 620 | 37 | 293 | 16 | 12 | 287 | 63 | — | — | — | — | — | — |
| 2018 | 26 | AAA MLE | 3 teams | — | 348 | 302 | 62 | 8 | 4 | 1 | 36 | 86 | 5 | 3 | 7 | 205 | 300 | 268 | 569 | 63 | 281 | 25 | 10 | 258 | 61 | — | — | — | — | — | — |
| 2018 | 26 | AAA RAW | 3 teams | — | 348 | 286 | 60 | 9 | 4 | 1 | 52 | 69 | 5 | 3 | 7 | 210 | 341 | 280 | 621 | 70 | 271 | 20 | 15 | 292 | 61 | — | — | — | — | — | — |
| 2019 | 27 | INTL MLE | Gigantes del Cibao | — | 149 | 122 | 32 | 6 | 3 | 0 | 19 | 18 | 1 | 3 | 3 | 262 | 366 | 361 | 727 | 98 | 302 | 12 | 13 | — | — | — | — | — | — | — | — |
| 2019 | 27 | INTL RAW | Gigantes del Cibao | — | 149 | 122 | 32 | 6 | 3 | 0 | 19 | 18 | 1 | 3 | 3 | 262 | 366 | 361 | 727 | 98 | 302 | 12 | 13 | 318 | 101 | — | — | — | — | — | — |
| 2020 | 28 | INTL MLE | Gigantes del Cibao | — | 28 | 21 | 4 | 0 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 190 | 370 | 190 | 561 | 222 | 11 | 21 | — | — | — | — | — | — | — | — | |
| 2020 | 28 | INTL RAW | Gigantes del Cibao | — | 28 | 21 | 4 | 0 | 0 | 0 | 6 | 3 | 0 | 0 | 0 | 190 | 370 | 190 | 561 | 222 | 11 | 21 | 279 | 75 | — | — | — | — | — | — | |
| 2021 | 29 | INTL MLE | Gigantes del Cibao | — | 52 | 45 | 11 | 2 | 0 | 0 | 7 | 14 | 0 | 4 | 0 | 244 | 346 | 289 | 635 | 44 | 355 | 27 | 13 | — | — | — | — | — | — | — | — |
| 2021 | 29 | INTL RAW | Gigantes del Cibao | — | 52 | 45 | 11 | 2 | 0 | 0 | 7 | 14 | 0 | 4 | 0 | 244 | 346 | 289 | 635 | 44 | 355 | 27 | 13 | 300 | 89 | — | — | — | — | — | — |
| 2022 | 30 | INTL MLE | Gigantes del Cibao | — | 48 | 38 | 7 | 2 | 0 | 0 | 7 | 15 | 1 | 0 | 0 | 184 | 326 | 237 | 563 | 53 | 304 | 31 | 15 | — | — | — | — | — | — | — | — |
| 2022 | 30 | INTL RAW | Gigantes del Cibao | — | 48 | 38 | 7 | 2 | 0 | 0 | 7 | 15 | 1 | 0 | 0 | 184 | 326 | 237 | 563 | 53 | 304 | 31 | 15 | 265 | 65 | — | — | — | — | — | — |
| 2023 | 31 | INTL MLE | Gigantes del Cibao | — | 41 | 35 | 8 | 1 | 1 | 0 | 5 | 12 | 1 | 2 | 0 | 229 | 341 | 314 | 656 | 86 | 348 | 29 | 12 | — | — | — | — | — | — | — | — |
| 2023 | 31 | INTL RAW | Gigantes del Cibao | — | 41 | 35 | 8 | 1 | 1 | 0 | 5 | 12 | 1 | 2 | 0 | 229 | 341 | 314 | 656 | 86 | 348 | 29 | 12 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 33 | INTL MLE | Gigantes del Cibao | — | 72 | 55 | 10 | 2 | 0 | 1 | 15 | 10 | 0 | 2 | 1 | 182 | 357 | 273 | 630 | 91 | 205 | 14 | 21 | — | — | — | — | — | — | — | — |
| 2025 | 33 | INTL RAW | Gigantes del Cibao | — | 72 | 55 | 10 | 2 | 0 | 1 | 15 | 10 | 0 | 2 | 1 | 182 | 357 | 273 | 630 | 91 | 205 | 14 | 21 | 298 | 88 | — | — | — | — | — | — |
| 2012 | 20 | ROK MLE | AZL Athletics | — | 118 | 110 | 33 | 7 | 1 | 0 | 6 | 22 | 1 | 1 | 0 | 300 | 345 | 382 | 727 | 82 | 368 | 19 | 5 | 314 | 99 | — | — | — | — | — | — |
| 2014 | 22 | A MLE | Beloit Snappers | — | 414 | 380 | 73 | 11 | 7 | 1 | 27 | 98 | 4 | 12 | 4 | 192 | 256 | 266 | 522 | 74 | 247 | 24 | 7 | 237 | 47 | — | — | — | — | — | — |
| 2015 | 23 | A+ MLE | 2 teams | — | 377 | 349 | 80 | 12 | 1 | 0 | 22 | 76 | 3 | 12 | 3 | 229 | 288 | 269 | 557 | 40 | 288 | 20 | 6 | 246 | 53 | — | — | — | — | — | — |
| 2016 | 24 | A+ MLE | 2 teams | — | 522 | 469 | 110 | 14 | 5 | 1 | 45 | 113 | 3 | 13 | 8 | 235 | 312 | 292 | 604 | 58 | 301 | 22 | 9 | 266 | 66 | — | — | — | — | — | — |
| 2017 | 25 | AAA MLE | 3 teams | — | 389 | 344 | 73 | 8 | 3 | 0 | 36 | 74 | 6 | 7 | 6 | 212 | 303 | 253 | 556 | 41 | 269 | 19 | 9 | 261 | 63 | — | — | — | — | — | — |
| 2018 | 26 | AAA MLE | 3 teams | — | 348 | 304 | 62 | 8 | 4 | 1 | 36 | 86 | 5 | 3 | 7 | 204 | 300 | 266 | 567 | 63 | 274 | 25 | 10 | 258 | 61 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2558 | 2238 | 503 | 73 | 25 | 4 | 231 | 541 | 25 | 59 | 32 | 225 | 304 | 285 | 589 | 60 | 292 | 21 | 9 | 218 | 34 | -201 | -1 | +0 | +0 | +55 | -15.0 | |
| / 162G | — | MLE | — | 650 | 569 | 128 | 19 | 6 | 1 | 59 | 137 | 6 | 15 | 8 | 225 | 305 | 285 | 590 | 60 | 291 | 21 | 9 | 218 | 34 | -51 | -0 | +0 | +0 | +14 | -3.8 | |
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.
2018 AAANashville Sounds · 167 PAwOBA .290 → .254 (−36)K% 18.6% → 22.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.56% | ÷1.055 | ×1.290 | — | — | 22.69% |
| BB% (unintentional) /PA | 11.98% | ÷0.966 | ×0.710 | — | ×1.018 | 8.96% |
| HBP% /PA | 1.80% | — | ×0.980 | — | ×1.018 | 1.79% |
| Singles /BIP | 24.32% | ÷0.986 | ×0.900 | ×1.032 | ×1.018 | 23.34% |
| Doubles /BIP | 2.70% | ÷0.937 | ×0.810 | ×1.032 | ×1.018 | 2.46% |
| Triples /BIP | 2.70% | ÷1.150 | ×0.810 | ×1.032 | ×1.018 | 2.00% |
| Home runs /BIP | 0.00% | ÷0.988 | ×0.780 | — | ×1.018 | 0.00% |
Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 87, 3B 130, K 111, BB 93 — 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 ×1.032.
Result: wOBA .290 → .254; ISO .063 → .051; BABIP .295 → .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).
2018 A+Stockton Ports · 103 PAwOBA .331 → .265 (−66)K% 20.4% → 28.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.39% | ÷0.972 | ×1.340 | — | — | 28.10% |
| BB% (unintentional) /PA | 19.42% | ÷1.035 | ×0.710 | — | ×0.968 | 12.90% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.968 | 0.00% |
| Singles /BIP | 21.31% | ÷0.978 | ×0.910 | ×1.050 | ×0.968 | 20.16% |
| Doubles /BIP | 6.56% | ÷0.926 | ×0.820 | ×1.050 | ×0.968 | 5.90% |
| Triples /BIP | 1.64% | ÷1.006 | ×0.760 | ×1.050 | ×0.968 | 1.26% |
| Home runs /BIP | 1.64% | ÷1.244 | ×0.920 | — | ×0.968 | 1.17% |
Factors used: league row CAL. Park (home-season share, regressed): HR 149, 1B 96, 2B 85, 3B 101, K 94, BB 107 — 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 ×1.050.
Result: wOBA .331 → .265; ISO .110 → .088; BABIP .295 → .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).
2017 AAANashville Sounds · 220 PAwOBA .297 → .260 (−37)K% 16.4% → 21.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.36% | ÷1.003 | ×1.290 | — | — | 21.05% |
| BB% (unintentional) /PA | 13.18% | ÷1.029 | ×0.710 | — | ×1.033 | 9.39% |
| HBP% /PA | 2.27% | — | ×0.980 | — | ×1.033 | 2.30% |
| Singles /BIP | 24.83% | ÷0.984 | ×0.900 | ×1.001 | ×1.033 | 23.49% |
| Doubles /BIP | 3.45% | ÷1.021 | ×0.810 | ×1.001 | ×1.033 | 2.83% |
| Triples /BIP | 1.38% | ÷0.900 | ×0.810 | ×1.001 | ×1.033 | 1.28% |
| Home runs /BIP | 0.00% | ÷0.868 | ×0.780 | — | ×1.033 | 0.00% |
Factors used: league row PCL. Park (home-season share, regressed): HR 74, 1B 97, 2B 104, 3B 80, K 101, BB 106 — 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 ×1.001.
Result: wOBA .297 → .260; ISO .050 → .044; BABIP .293 → .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).
2017 AAMidland RockHounds · 23 PAwOBA .335 → .272 (−63)K% 0.0% → 0.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 0.00% | ÷0.939 | ×1.220 | — | — | 0.00% |
| BB% (unintentional) /PA | 13.04% | ÷0.990 | ×0.700 | — | ×0.998 | 9.21% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.998 | 0.00% |
| Singles /BIP | 25.00% | ÷1.142 | ×0.920 | — | ×0.998 | 20.11% |
| Doubles /BIP | 5.00% | ÷0.987 | ×0.840 | — | ×0.998 | 4.25% |
| Triples /BIP | 0.00% | ÷0.977 | ×0.940 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.862 | ×0.800 | — | ×0.998 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 72, 1B 128, 2B 97, 3B 95, K 88, BB 98 — 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 .335 → .272; ISO .050 → .044; BABIP .300 → .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).
2016 A+Stockton Ports · 426 PAwOBA .307 → .266 (−41)K% 16.7% → 21.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷1.035 | ×1.340 | — | — | 21.57% |
| BB% (unintentional) /PA | 13.15% | ÷1.065 | ×0.710 | — | ×0.988 | 8.65% |
| HBP% /PA | 0.47% | — | ×0.790 | — | ×0.988 | 0.37% |
| Singles /BIP | 26.13% | ÷0.978 | ×0.910 | ×1.038 | ×0.988 | 24.93% |
| Doubles /BIP | 4.18% | ÷0.939 | ×0.820 | ×1.038 | ×0.988 | 3.74% |
| Triples /BIP | 1.74% | ÷0.990 | ×0.760 | ×1.038 | ×0.988 | 1.37% |
| Home runs /BIP | 0.35% | ÷1.066 | ×0.920 | — | ×0.988 | 0.30% |
Factors used: league row CAL. Park (home-season share, regressed): HR 113, 1B 96, 2B 88, 3B 98, K 107, BB 113 — 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 ×1.038.
Result: wOBA .307 → .266; ISO .070 → .061; BABIP .322 → .301. 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 A+Stockton Ports · 324 PAwOBA .274 → .250 (−23)K% 13.9% → 17.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.89% | ÷1.072 | ×1.340 | — | — | 17.35% |
| BB% (unintentional) /PA | 8.33% | ÷1.000 | ×0.710 | — | ×0.998 | 5.90% |
| HBP% /PA | 0.93% | — | ×0.790 | — | ×0.998 | 0.73% |
| Singles /BIP | 23.63% | ÷0.959 | ×0.910 | ×1.039 | ×0.998 | 23.24% |
| Doubles /BIP | 5.49% | ÷1.047 | ×0.820 | ×1.039 | ×0.998 | 4.46% |
| Triples /BIP | 0.42% | ÷0.926 | ×0.760 | ×1.039 | ×0.998 | 0.36% |
| Home runs /BIP | 0.00% | ÷1.715 | ×0.920 | — | ×0.998 | 0.00% |
Factors used: league row CAL. Park (home-season share, regressed): HR 243, 1B 92, 2B 109, 3B 85, K 114, BB 100 — 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 ×1.039.
Result: wOBA .274 → .250; ISO .053 → .045; BABIP .292 → .277. 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 ABeloit Snappers · 53 PAwOBA .291 → .224 (−67)K% 26.4% → 36.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.42% | ÷0.987 | ×1.360 | — | — | 36.40% |
| BB% (unintentional) /PA | 7.55% | ÷0.936 | ×0.690 | — | ×0.990 | 5.51% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.990 | 0.00% |
| Singles /BIP | 37.14% | ÷1.018 | ×0.920 | — | ×0.990 | 33.22% |
| Doubles /BIP | 2.86% | ÷1.021 | ×0.830 | — | ×0.990 | 2.30% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.084 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 104, 2B 104, 3B 80, K 97, BB 87 — 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 .291 → .224; ISO .020 → .014; BABIP .400 → .355. 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 ABeloit Snappers · 414 PAwOBA .278 → .237 (−42)K% 16.9% → 23.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.91% | ÷0.974 | ×1.360 | — | — | 23.61% |
| BB% (unintentional) /PA | 9.66% | ÷1.003 | ×0.690 | — | — | 6.65% |
| HBP% /PA | 0.97% | — | ×0.780 | — | — | 0.75% |
| Singles /BIP | 19.59% | ÷0.987 | ×0.920 | ×1.036 | — | 18.90% |
| Doubles /BIP | 4.81% | ÷1.060 | ×0.830 | ×1.036 | — | 3.90% |
| Triples /BIP | 2.41% | ÷0.942 | ×0.910 | ×1.036 | — | 2.41% |
| Home runs /BIP | 0.69% | ÷1.155 | ×0.800 | — | — | 0.48% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 97, 2B 112, 3B 88, K 95, BB 101 — 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 ×1.036.
Result: wOBA .278 → .237; ISO .094 → .080; BABIP .264 → .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 — .