Luis Gonzalez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2021 | 27 | A+NYM | 216 | .269/.313/.408 | 6 | 3 | 59 | — | .229/.262/.346 |
| 2022 | 28 | INTLAguilas Cibae… | 18 | .357/.471/.571 | 0 | 0 | 179 | — | |
| 2023 | 29 | INTLAguilas Cibae… | 15 | .200/.200/.200 | 0 | 0 | 9 | — |
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) | |||||||||||||||||||||||||||||||
| 2013 | 19 | ROK | DSL Rojos | — | 283 | 264 | 62 | 10 | 4 | 2 | 12 | 30 | 4 | 18 | 14 | 235 | 279 | 326 | 604 | 91 | 258 | 11 | 4 | 270 | 5 | — | — | — | — | — | — |
| 2014 | 20 | ROK | AZL Reds | — | 99 | 94 | 26 | 6 | 1 | 0 | 2 | 22 | 0 | 5 | 3 | 277 | 292 | 362 | 653 | 85 | 361 | 22 | 2 | 282 | 21 | — | — | — | — | — | — |
| 2015 | 21 | A | Dayton Dragons | — | 532 | 497 | 122 | 18 | 3 | 2 | 14 | 82 | 5 | 7 | 4 | 245 | 273 | 306 | 579 | 60 | 286 | 15 | 3 | 254 | 32 | — | — | — | — | — | — |
| 2016 | 22 | A | Dayton Dragons | — | 404 | 381 | 87 | 23 | 2 | 3 | 18 | 87 | 0 | 4 | 1 | 228 | 263 | 323 | 586 | 94 | 286 | 22 | 4 | 260 | 27 | — | — | — | — | — | — |
| 2017 | 23 | A+ | Daytona Tortugas | — | 280 | 266 | 76 | 16 | 1 | 5 | 4 | 44 | 2 | 7 | 2 | 286 | 301 | 410 | 711 | 124 | 316 | 16 | 1 | 306 | 65 | — | — | — | — | — | — |
| 2017 | 23 | A | Dayton Dragons | — | 130 | 123 | 34 | 6 | 0 | 3 | 4 | 13 | 2 | 2 | 2 | 276 | 310 | 398 | 708 | 122 | 290 | 10 | 3 | 314 | 56 | — | — | — | — | — | — |
| 2017 | 23 | INTL | Aguilas Cibaenas | — | 36 | 35 | 9 | 1 | 0 | 0 | 1 | 4 | 0 | 2 | 0 | 257 | 278 | 286 | 563 | 29 | 290 | 11 | 3 | 256 | 60 | — | — | — | — | — | — |
| 2018 | 24 | AA | Pensacola Blue Wahoos | — | 413 | 391 | 95 | 16 | 1 | 3 | 17 | 71 | 2 | 5 | 4 | 243 | 278 | 312 | 590 | 69 | 289 | 17 | 4 | 265 | 38 | — | — | — | — | — | — |
| 2018 | 24 | A+ | Daytona Tortugas | — | 43 | 39 | 15 | 1 | 1 | 1 | 2 | 7 | 1 | 1 | 0 | 385 | 429 | 538 | 967 | 154 | 438 | 16 | 5 | 418 | 124 | — | — | — | — | — | — |
| 2018 | 24 | INTL | Aguilas Cibaenas | — | 45 | 42 | 8 | 0 | 1 | 0 | 2 | 6 | 0 | 2 | 0 | 190 | 227 | 238 | 465 | 48 | 216 | 13 | 4 | 208 | 27 | — | — | — | — | — | — |
| 2019 | 25 | AAA | Louisville Bats | — | 42 | 38 | 10 | 2 | 0 | 0 | 4 | 9 | 0 | 0 | 1 | 263 | 333 | 316 | 649 | 53 | 345 | 21 | 10 | 300 | 49 | — | — | — | — | — | — |
| 2019 | 25 | AA | Chattanooga Lookouts | — | 51 | 46 | 15 | 5 | 1 | 0 | 3 | 7 | 1 | 0 | 0 | 326 | 380 | 478 | 858 | 152 | 385 | 14 | 6 | 373 | 99 | — | — | — | — | — | — |
| 2021 | 27 | A+ | Brooklyn Cyclones | — | 216 | 201 | 54 | 8 | 1 | 6 | 13 | 52 | 0 | 3 | 1 | 269 | 313 | 408 | 721 | 139 | 333 | 24 | 6 | 318 | 59 | — | — | — | — | — | — |
| 2022 | 28 | INTL | Aguilas Cibaenas | — | 18 | 14 | 5 | 1 | 1 | 0 | 1 | 4 | 2 | 0 | 0 | 357 | 471 | 571 | 1.042 | 214 | 455 | 22 | 6 | 432 | 179 | — | — | — | — | — | — |
| 2023 | 29 | INTL | Aguilas Cibaenas | — | 15 | 15 | 3 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 200 | 200 | 200 | 400 | 273 | 27 | 0 | 181 | 9 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 19 | ROK MLE | DSL Rojos | — | 283 | 268 | 41 | 6 | 2 | 1 | 8 | 37 | 4 | 18 | 14 | 153 | 189 | 201 | 391 | 49 | 173 | 13 | 3 | 175 | 5 | — | — | — | — | — | — |
| 2014 | 20 | ROK MLE | AZL Reds | — | 99 | 95 | 20 | 4 | 1 | 0 | 1 | 32 | 0 | 5 | 3 | 211 | 219 | 274 | 492 | 63 | 291 | 32 | 1 | 199 | 21 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | Dayton Dragons | — | 532 | 502 | 107 | 14 | 2 | 1 | 9 | 115 | 5 | 7 | 4 | 213 | 234 | 255 | 489 | 42 | 261 | 22 | 2 | 216 | 32 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | Dayton Dragons | — | 404 | 387 | 74 | 19 | 2 | 2 | 12 | 120 | 0 | 4 | 1 | 191 | 216 | 266 | 482 | 75 | 264 | 30 | 3 | 208 | 27 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Daytona Tortugas | — | 280 | 267 | 66 | 14 | 1 | 5 | 3 | 63 | 2 | 7 | 2 | 247 | 261 | 363 | 624 | 116 | 282 | 22 | 1 | 264 | 65 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | Dayton Dragons | — | 130 | 124 | 29 | 5 | 0 | 2 | 3 | 18 | 2 | 2 | 2 | 234 | 264 | 323 | 586 | 89 | 257 | 14 | 2 | 251 | 56 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Pensacola Blue Wahoos | — | 413 | 396 | 85 | 14 | 1 | 3 | 12 | 84 | 2 | 5 | 4 | 215 | 241 | 278 | 519 | 63 | 261 | 20 | 3 | 225 | 38 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | Daytona Tortugas | — | 43 | 39 | 13 | 1 | 1 | 1 | 2 | 10 | 1 | 1 | 0 | 333 | 381 | 487 | 868 | 154 | 387 | 23 | 5 | 351 | 124 | — | — | — | — | — | — |
| 2019 | 25 | AAA MLE | Louisville Bats | — | 42 | 40 | 9 | 2 | 0 | 0 | 2 | 11 | 0 | 0 | 1 | 225 | 262 | 275 | 537 | 50 | 315 | 26 | 5 | 241 | 49 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Chattanooga Lookouts | — | 51 | 47 | 14 | 4 | 1 | 0 | 2 | 9 | 1 | 0 | 0 | 298 | 340 | 426 | 766 | 128 | 343 | 18 | 4 | 314 | 99 | — | — | — | — | — | — |
| 2021 | 27 | A+ MLE | Brooklyn Cyclones | — | 216 | 205 | 47 | 7 | 1 | 5 | 9 | 67 | 0 | 3 | 1 | 229 | 262 | 346 | 608 | 117 | 305 | 31 | 4 | 256 | 59 | — | — | — | — | — | — |
| 2013 | 19 | ROK MLE | DSL Rojos | — | 283 | 268 | 41 | 6 | 2 | 1 | 8 | 37 | 4 | 18 | 14 | 153 | 189 | 201 | 391 | 49 | 173 | 13 | 3 | 175 | 5 | — | — | — | — | — | — |
| 2013 | 19 | ROK RAW | DSL Rojos | — | 283 | 264 | 62 | 10 | 4 | 2 | 12 | 30 | 4 | 18 | 14 | 235 | 279 | 326 | 604 | 91 | 258 | 11 | 4 | 270 | 5 | — | — | — | — | — | — |
| 2014 | 20 | ROK MLE | AZL Reds | — | 99 | 95 | 20 | 4 | 1 | 0 | 1 | 32 | 0 | 5 | 3 | 211 | 219 | 274 | 492 | 63 | 317 | 32 | 1 | 199 | 21 | — | — | — | — | — | — |
| 2014 | 20 | ROK RAW | AZL Reds | — | 99 | 94 | 26 | 6 | 1 | 0 | 2 | 22 | 0 | 5 | 3 | 277 | 292 | 362 | 653 | 85 | 361 | 22 | 2 | 282 | 21 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | Dayton Dragons | — | 532 | 502 | 107 | 14 | 2 | 1 | 9 | 115 | 5 | 7 | 4 | 213 | 234 | 255 | 489 | 42 | 270 | 22 | 2 | 216 | 32 | — | — | — | — | — | — |
| 2015 | 21 | A RAW | Dayton Dragons | — | 532 | 497 | 122 | 18 | 3 | 2 | 14 | 82 | 5 | 7 | 4 | 245 | 273 | 306 | 579 | 60 | 286 | 15 | 3 | 254 | 32 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | Dayton Dragons | — | 404 | 387 | 74 | 19 | 2 | 2 | 12 | 120 | 0 | 4 | 1 | 191 | 216 | 266 | 482 | 75 | 269 | 30 | 3 | 208 | 27 | — | — | — | — | — | — |
| 2016 | 22 | A RAW | Dayton Dragons | — | 404 | 381 | 87 | 23 | 2 | 3 | 18 | 87 | 0 | 4 | 1 | 228 | 263 | 323 | 586 | 94 | 286 | 22 | 4 | 260 | 27 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | 3 teams | — | 446 | 427 | 103 | 20 | 1 | 7 | 6 | 88 | 4 | 11 | 4 | 241 | 259 | 342 | 601 | 101 | 282 | 20 | 1 | 260 | 62 | — | — | — | — | — | — |
| 2017 | 23 | A+ RAW | 3 teams | — | 446 | 424 | 119 | 23 | 1 | 8 | 9 | 61 | 4 | 11 | 4 | 281 | 302 | 396 | 698 | 116 | 306 | 14 | 2 | 304 | 62 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 3 teams | — | 501 | 478 | 107 | 16 | 2 | 4 | 15 | 103 | 3 | 8 | 4 | 224 | 252 | 291 | 543 | 67 | 275 | 21 | 3 | 237 | 46 | — | — | — | — | — | — |
| 2018 | 24 | AA RAW | 3 teams | — | 501 | 472 | 118 | 17 | 3 | 4 | 21 | 84 | 3 | 8 | 4 | 250 | 286 | 324 | 610 | 74 | 295 | 17 | 4 | 273 | 46 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | 2 teams | — | 93 | 86 | 22 | 5 | 1 | 0 | 5 | 20 | 1 | 0 | 1 | 256 | 304 | 337 | 642 | 81 | 333 | 22 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2019 | 25 | AA RAW | 2 teams | — | 93 | 84 | 25 | 7 | 1 | 0 | 7 | 16 | 1 | 0 | 1 | 298 | 359 | 405 | 763 | 107 | 368 | 17 | 8 | 340 | 76 | — | — | — | — | — | — |
| 2021 | 27 | A+ MLE | Brooklyn Cyclones | — | 216 | 205 | 47 | 7 | 1 | 5 | 9 | 67 | 0 | 3 | 1 | 229 | 262 | 346 | 608 | 117 | 313 | 31 | 4 | 256 | 59 | — | — | — | — | — | — |
| 2021 | 27 | A+ RAW | Brooklyn Cyclones | — | 216 | 201 | 54 | 8 | 1 | 6 | 13 | 52 | 0 | 3 | 1 | 269 | 313 | 408 | 721 | 139 | 333 | 24 | 6 | 318 | 59 | — | — | — | — | — | — |
| 2022 | 28 | INTL MLE | Aguilas Cibaenas | — | 18 | 14 | 5 | 1 | 1 | 0 | 1 | 4 | 2 | 0 | 0 | 357 | 471 | 571 | 1.042 | 214 | 455 | 22 | 6 | — | — | — | — | — | — | — | — |
| 2022 | 28 | INTL RAW | Aguilas Cibaenas | — | 18 | 14 | 5 | 1 | 1 | 0 | 1 | 4 | 2 | 0 | 0 | 357 | 471 | 571 | 1.042 | 214 | 455 | 22 | 6 | 432 | 179 | — | — | — | — | — | — |
| 2023 | 29 | INTL MLE | Aguilas Cibaenas | — | 15 | 15 | 3 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 200 | 200 | 200 | 400 | 273 | 27 | 0 | — | — | — | — | — | — | — | — | |
| 2023 | 29 | INTL RAW | Aguilas Cibaenas | — | 15 | 15 | 3 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 200 | 200 | 200 | 400 | 273 | 27 | 0 | 181 | 9 | — | — | — | — | — | — | |
| 2013 | 19 | ROK MLE | DSL Rojos | — | 283 | 269 | 41 | 6 | 2 | 1 | 8 | 37 | 4 | 18 | 14 | 152 | 189 | 201 | 390 | 48 | 173 | 13 | 3 | 175 | 5 | — | — | — | — | — | — |
| 2014 | 20 | ROK MLE | AZL Reds | — | 99 | 98 | 20 | 4 | 1 | 0 | 1 | 32 | 0 | 5 | 3 | 204 | 219 | 265 | 484 | 61 | 291 | 32 | 1 | 199 | 21 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | Dayton Dragons | — | 532 | 513 | 107 | 14 | 2 | 1 | 9 | 115 | 5 | 7 | 4 | 209 | 234 | 250 | 484 | 41 | 261 | 22 | 2 | 216 | 32 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | Dayton Dragons | — | 404 | 389 | 74 | 19 | 2 | 2 | 12 | 120 | 0 | 4 | 1 | 190 | 216 | 265 | 480 | 75 | 264 | 30 | 3 | 208 | 27 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | 3 teams | — | 446 | 433 | 103 | 20 | 1 | 7 | 6 | 88 | 4 | 11 | 4 | 238 | 259 | 337 | 596 | 99 | 274 | 20 | 1 | 260 | 62 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 3 teams | — | 501 | 478 | 107 | 16 | 2 | 4 | 15 | 103 | 3 | 8 | 4 | 224 | 252 | 291 | 543 | 67 | 273 | 21 | 3 | 237 | 46 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | 2 teams | — | 93 | 87 | 22 | 5 | 1 | 0 | 5 | 20 | 1 | 0 | 1 | 253 | 304 | 333 | 638 | 80 | 330 | 22 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2021 | 27 | A+ MLE | Brooklyn Cyclones | — | 216 | 205 | 47 | 7 | 1 | 5 | 9 | 67 | 0 | 3 | 1 | 229 | 262 | 346 | 608 | 117 | 305 | 31 | 4 | 256 | 59 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2607 | 2477 | 529 | 92 | 13 | 20 | 66 | 590 | 19 | 56 | 32 | 214 | 240 | 285 | 525 | 72 | 269 | 23 | 3 | 224 | 38 | -193 | -2 | +0 | +28 | +56 | -11.2 | |
| / 162G | — | MLE | — | 650 | 618 | 132 | 23 | 3 | 5 | 16 | 147 | 5 | 14 | 8 | 214 | 239 | 285 | 524 | 71 | 269 | 23 | 2 | 224 | 38 | -48 | -0 | +0 | +7 | +14 | -2.8 | |
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.
2021 A+Brooklyn Cyclones · 216 PAwOBA .311 → .256 (−55)K% 24.1% → 31.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.07% | ÷1.041 | ×1.350 | — | — | 31.23% |
| BB% (unintentional) /PA | 6.02% | ÷1.006 | ×0.710 | — | ×0.958 | 4.07% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×0.958 | 0.00% |
| Singles /BIP | 26.17% | ÷0.957 | ×0.910 | ×1.024 | ×0.958 | 24.41% |
| Doubles /BIP | 5.37% | ÷0.930 | ×0.830 | ×1.024 | ×0.958 | 4.70% |
| Triples /BIP | 0.67% | ÷1.028 | ×0.820 | ×1.024 | ×0.958 | 0.53% |
| Home runs /BIP | 4.03% | ÷0.925 | ×0.830 | — | ×0.958 | 3.46% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 91, 2B 86, 3B 106, K 108, BB 101 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.
Result: wOBA .311 → .256; ISO .139 → .112; BABIP .333 → .305. 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 AAChattanooga Lookouts · 51 PAwOBA .363 → .314 (−49)K% 13.7% → 17.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.73% | ÷0.967 | ×1.220 | — | — | 17.32% |
| BB% (unintentional) /PA | 5.88% | ÷0.949 | ×0.680 | — | ×0.998 | 4.21% |
| HBP% /PA | 1.96% | — | ×0.840 | — | ×0.998 | 1.64% |
| Singles /BIP | 23.08% | ÷0.974 | ×0.920 | — | ×0.998 | 21.74% |
| Doubles /BIP | 12.82% | ÷1.160 | ×0.910 | — | ×0.998 | 10.03% |
| Triples /BIP | 2.56% | ÷0.900 | ×0.880 | — | ×0.998 | 2.50% |
| Home runs /BIP | 0.00% | ÷0.979 | ×0.800 | — | ×0.998 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 96, 1B 95, 2B 132, 3B 80, K 93, BB 90 — 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 .363 → .314; ISO .152 → .128; BABIP .385 → .343. 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 AAALouisville Bats · 42 PAwOBA .293 → .241 (−52)K% 21.4% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.43% | ÷0.960 | ×1.200 | — | — | 26.77% |
| BB% (unintentional) /PA | 9.52% | ÷1.151 | ×0.690 | — | ×1.033 | 5.90% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 27.59% | ÷1.018 | ×0.930 | — | ×1.033 | 26.04% |
| Doubles /BIP | 6.90% | ÷1.082 | ×0.830 | — | ×1.033 | 5.47% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.033 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.957 | ×0.840 | — | ×1.033 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 116, 3B 130, K 92, BB 130 — 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 .293 → .241; ISO .053 → .041; BABIP .345 → .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).
2018 AAPensacola Blue Wahoos · 413 PAwOBA .259 → .225 (−34)K% 17.2% → 20.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.19% | ÷1.030 | ×1.220 | — | — | 20.35% |
| BB% (unintentional) /PA | 4.12% | ÷0.967 | ×0.680 | — | ×1.012 | 2.93% |
| HBP% /PA | 0.48% | — | ×0.840 | — | ×1.012 | 0.41% |
| Singles /BIP | 23.44% | ÷1.023 | ×0.920 | ×0.998 | ×1.012 | 21.28% |
| Doubles /BIP | 5.00% | ÷1.039 | ×0.910 | ×0.998 | ×1.012 | 4.42% |
| Triples /BIP | 0.31% | ÷1.006 | ×0.880 | ×0.998 | ×1.012 | 0.28% |
| Home runs /BIP | 0.94% | ÷0.909 | ×0.800 | — | ×1.012 | 0.83% |
Factors used: league row SL. Park (home-season share, regressed): HR 82, 1B 105, 2B 108, 3B 101, K 106, BB 93 — 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 ×0.998.
Result: wOBA .259 → .225; ISO .069 → .060; BABIP .289 → .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).
2018 A+Daytona Tortugas · 43 PAwOBA .416 → .351 (−65)K% 16.3% → 22.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.28% | ÷1.035 | ×1.420 | — | — | 22.34% |
| BB% (unintentional) /PA | 4.65% | ÷0.994 | ×0.750 | — | ×0.988 | 3.47% |
| HBP% /PA | 2.33% | — | ×0.930 | — | ×0.988 | 2.14% |
| Singles /BIP | 37.50% | ÷1.006 | ×0.920 | — | ×0.988 | 33.89% |
| Doubles /BIP | 3.12% | ÷1.088 | ×0.960 | — | ×0.988 | 2.73% |
| Triples /BIP | 3.12% | ÷1.047 | ×0.810 | — | ×0.988 | 2.39% |
| Home runs /BIP | 3.12% | ÷1.058 | ×0.880 | — | ×0.988 | 2.57% |
Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 101, 2B 118, 3B 109, K 107, BB 99 — 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).
Result: wOBA .416 → .351; ISO .154 → .121; BABIP .438 → .387. 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+Daytona Tortugas · 280 PAwOBA .306 → .264 (−42)K% 15.7% → 22.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.71% | ÷0.996 | ×1.420 | — | — | 22.40% |
| BB% (unintentional) /PA | 1.43% | ÷0.964 | ×0.750 | — | ×0.998 | 1.11% |
| HBP% /PA | 0.71% | — | ×0.930 | — | ×0.998 | 0.66% |
| Singles /BIP | 24.32% | ÷0.981 | ×0.920 | ×0.956 | ×0.998 | 21.77% |
| Doubles /BIP | 7.21% | ÷1.009 | ×0.960 | ×0.956 | ×0.998 | 6.54% |
| Triples /BIP | 0.45% | ÷0.951 | ×0.810 | ×0.956 | ×0.998 | 0.37% |
| Home runs /BIP | 2.25% | ÷0.932 | ×0.880 | — | ×0.998 | 2.12% |
Factors used: league row FSL. Park (home-season share, regressed): HR 86, 1B 96, 2B 102, 3B 90, K 99, BB 93 — 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 ×0.956.
Result: wOBA .306 → .264; ISO .124 → .109; BABIP .316 → .282. 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 ADayton Dragons · 130 PAwOBA .305 → .251 (−54)K% 10.0% → 13.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.00% | ÷0.984 | ×1.360 | — | — | 13.82% |
| BB% (unintentional) /PA | 3.08% | ÷1.055 | ×0.690 | — | ×0.990 | 1.99% |
| HBP% /PA | 1.54% | — | ×0.780 | — | ×0.990 | 1.19% |
| Singles /BIP | 22.73% | ÷1.005 | ×0.920 | ×1.007 | ×0.990 | 20.73% |
| Doubles /BIP | 5.45% | ÷0.999 | ×0.830 | ×1.007 | ×0.990 | 4.52% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | ×1.007 | ×0.990 | 0.00% |
| Home runs /BIP | 2.73% | ÷1.168 | ×0.800 | — | ×0.990 | 1.85% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 101, 2B 100, 3B 130, K 97, BB 111 — 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 ×1.007.
Result: wOBA .305 → .251; ISO .122 → .088; BABIP .290 → .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 ADayton Dragons · 404 PAwOBA .255 → .208 (−47)K% 21.5% → 29.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.53% | ÷0.986 | ×1.360 | — | — | 29.72% |
| BB% (unintentional) /PA | 4.46% | ÷1.052 | ×0.690 | — | — | 2.92% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 20.07% | ÷1.021 | ×0.920 | ×1.044 | — | 18.89% |
| Doubles /BIP | 7.82% | ÷0.966 | ×0.830 | ×1.044 | — | 7.02% |
| Triples /BIP | 0.68% | ÷1.150 | ×0.910 | ×1.044 | — | 0.56% |
| Home runs /BIP | 1.02% | ÷1.153 | ×0.800 | — | — | 0.71% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 131, 1B 104, 2B 93, 3B 130, K 97, BB 110 — 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 ×1.044.
Result: wOBA .255 → .208; ISO .094 → .073; BABIP .286 → .264. 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 — .