Narciso Crook
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 28 | AAABOS | 325 | .216/.337/.392 | 10 | 11 | 56 | — | .172/.269/.291 |
| 2024 | 29 | INTLAlgodoneros d… | 65 | .241/.369/.370 | 1 | 0 | 117 | — | |
| 2025 | 30 | INTLSenadores de … | 120 | .217/.303/.311 | 2 | 0 | 77 | — |
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 | ROK | AZL Reds | — | 166 | 149 | 38 | 9 | 2 | 4 | 13 | 45 | 1 | 12 | 1 | 255 | 319 | 423 | 742 | 168 | 330 | 27 | 8 | 324 | 38 | — | — | — | — | — | — |
| 2015 | 20 | A | Dayton Dragons | — | 402 | 381 | 90 | 19 | 5 | 9 | 15 | 103 | 3 | 13 | 3 | 236 | 271 | 383 | 654 | 147 | 300 | 26 | 4 | 287 | 29 | — | — | — | — | — | — |
| 2016 | 21 | A | Dayton Dragons | — | 90 | 82 | 20 | 4 | 0 | 3 | 6 | 23 | 2 | 2 | 1 | 244 | 311 | 402 | 714 | 159 | 304 | 26 | 7 | 320 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A+ | Daytona Tortugas | — | 149 | 136 | 29 | 6 | 1 | 4 | 10 | 41 | 2 | 3 | 2 | 213 | 277 | 360 | 637 | 147 | 272 | 28 | 7 | 284 | 43 | — | — | — | — | — | — |
| 2018 | 23 | AA | Pensacola Blue Wahoos | — | 186 | 161 | 46 | 5 | 2 | 2 | 18 | 41 | 3 | 4 | 4 | 286 | 368 | 379 | 747 | 93 | 364 | 22 | 10 | 334 | 85 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Daytona Tortugas | — | 54 | 48 | 10 | 2 | 1 | 1 | 3 | 11 | 3 | 1 | 1 | 208 | 296 | 354 | 650 | 146 | 250 | 20 | 6 | 296 | 45 | — | — | — | — | — | — |
| 2018 | 23 | A | Dayton Dragons | — | 92 | 80 | 21 | 10 | 1 | 3 | 9 | 27 | 1 | 3 | 0 | 263 | 344 | 525 | 869 | 263 | 346 | 29 | 10 | 370 | 70 | — | — | — | — | — | — |
| 2019 | 24 | AAA | Louisville Bats | — | 298 | 275 | 75 | 16 | 6 | 10 | 19 | 84 | 4 | 9 | 2 | 273 | 329 | 484 | 812 | 211 | 359 | 28 | 6 | 356 | 72 | — | — | — | — | — | — |
| 2019 | 24 | AA | Chattanooga Lookouts | — | 76 | 71 | 21 | 6 | 2 | 0 | 5 | 18 | 0 | 1 | 1 | 296 | 342 | 437 | 779 | 141 | 396 | 24 | 7 | 345 | 75 | — | — | — | — | — | — |
| 2019 | 24 | INTL | Tigres del Licey | — | 46 | 43 | 6 | 1 | 0 | 0 | 1 | 12 | 1 | 1 | 0 | 140 | 178 | 163 | 341 | 23 | 188 | 26 | 2 | 157 | -7 | — | — | — | — | — | — |
| 2020 | 25 | INTL | Tigres del Licey | — | 36 | 31 | 7 | 0 | 0 | 3 | 5 | 8 | 0 | 2 | 0 | 226 | 333 | 516 | 849 | 290 | 200 | 22 | 14 | 371 | 137 | — | — | — | — | — | — |
| 2021 | 26 | AAA | Louisville Bats | — | 286 | 241 | 59 | 16 | 0 | 11 | 36 | 77 | 8 | 7 | 3 | 245 | 361 | 448 | 810 | 203 | 312 | 27 | 13 | 362 | 73 | — | — | — | — | — | — |
| 2021 | 26 | AA | Chattanooga Lookouts | — | 61 | 54 | 13 | 3 | 0 | 3 | 5 | 19 | 2 | 1 | 0 | 241 | 328 | 463 | 791 | 222 | 312 | 31 | 8 | 351 | 68 | — | — | — | — | — | — |
| 2022 | 27 | AAA | Iowa Cubs | — | 409 | 362 | 94 | 21 | 3 | 19 | 36 | 124 | 11 | 13 | 6 | 260 | 345 | 492 | 836 | 232 | 342 | 30 | 9 | 368 | 79 | — | — | — | — | — | — |
| 2023 | 28 | AAA | Worcester Red Sox | — | 325 | 273 | 59 | 14 | 2 | 10 | 40 | 117 | 10 | 11 | 4 | 216 | 337 | 392 | 729 | 176 | 331 | 36 | 12 | 330 | 56 | — | — | — | — | — | — |
| 2024 | 29 | INTL | Algodoneros de Guasave | — | 65 | 54 | 13 | 4 | 0 | 1 | 11 | 14 | 0 | 0 | 3 | 241 | 369 | 370 | 740 | 130 | 308 | 22 | 17 | 340 | 117 | — | — | — | — | — | — |
| 2025 | 30 | INTL | Senadores de San Juan | — | 120 | 106 | 23 | 4 | 0 | 2 | 12 | 38 | 1 | 0 | 1 | 217 | 303 | 311 | 614 | 94 | 313 | 32 | 10 | 282 | 77 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 19 | ROK MLE | AZL Reds | — | 166 | 155 | 28 | 6 | 1 | 3 | 7 | 65 | 1 | 12 | 1 | 181 | 221 | 290 | 511 | 110 | 269 | 39 | 4 | 225 | 38 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Dayton Dragons | — | 402 | 386 | 70 | 14 | 4 | 6 | 10 | 145 | 3 | 13 | 3 | 181 | 208 | 285 | 493 | 104 | 266 | 36 | 2 | 211 | 29 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Dayton Dragons | — | 90 | 84 | 15 | 3 | 0 | 2 | 4 | 32 | 2 | 2 | 1 | 179 | 233 | 286 | 519 | 107 | 261 | 36 | 4 | 227 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Daytona Tortugas | — | 149 | 138 | 24 | 5 | 1 | 3 | 8 | 58 | 2 | 3 | 2 | 174 | 230 | 290 | 520 | 116 | 270 | 39 | 5 | 232 | 43 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | Pensacola Blue Wahoos | — | 186 | 167 | 44 | 5 | 2 | 2 | 12 | 49 | 3 | 4 | 4 | 263 | 324 | 353 | 677 | 90 | 335 | 26 | 6 | 294 | 85 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Daytona Tortugas | — | 54 | 49 | 9 | 2 | 1 | 1 | 2 | 15 | 3 | 1 | 1 | 184 | 259 | 327 | 586 | 143 | 221 | 28 | 4 | 234 | 45 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Dayton Dragons | — | 92 | 83 | 17 | 8 | 1 | 2 | 6 | 37 | 1 | 3 | 0 | 205 | 267 | 398 | 664 | 193 | 295 | 40 | 7 | 271 | 70 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | Louisville Bats | — | 298 | 282 | 61 | 11 | 5 | 9 | 12 | 105 | 4 | 9 | 2 | 216 | 258 | 387 | 645 | 170 | 310 | 35 | 4 | 274 | 72 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Chattanooga Lookouts | — | 76 | 72 | 18 | 4 | 2 | 0 | 4 | 23 | 0 | 1 | 1 | 250 | 289 | 361 | 651 | 111 | 362 | 30 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | Louisville Bats | — | 286 | 254 | 51 | 14 | 0 | 7 | 23 | 97 | 8 | 7 | 3 | 201 | 288 | 339 | 626 | 138 | 286 | 34 | 8 | 276 | 73 | — | — | — | — | — | — |
| 2021 | 26 | AA MLE | Chattanooga Lookouts | — | 61 | 55 | 10 | 2 | 0 | 2 | 4 | 22 | 2 | 1 | 0 | 182 | 262 | 327 | 590 | 145 | 264 | 36 | 7 | 268 | 68 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Iowa Cubs | — | 409 | 374 | 81 | 18 | 3 | 13 | 24 | 151 | 11 | 13 | 6 | 217 | 284 | 385 | 669 | 168 | 317 | 37 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Worcester Red Sox | — | 325 | 285 | 49 | 9 | 2 | 7 | 28 | 137 | 10 | 11 | 4 | 172 | 269 | 291 | 561 | 119 | 288 | 42 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | AZL Reds | — | 166 | 155 | 28 | 6 | 1 | 3 | 7 | 65 | 1 | 12 | 1 | 181 | 221 | 290 | 511 | 110 | 278 | 39 | 4 | 225 | 38 | — | — | — | — | — | — |
| 2014 | 19 | ROK RAW | AZL Reds | — | 166 | 149 | 38 | 9 | 2 | 4 | 13 | 45 | 1 | 12 | 1 | 255 | 319 | 423 | 742 | 168 | 330 | 27 | 8 | 324 | 38 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Dayton Dragons | — | 402 | 386 | 70 | 14 | 4 | 6 | 10 | 145 | 3 | 13 | 3 | 181 | 208 | 285 | 493 | 104 | 271 | 36 | 2 | 211 | 29 | — | — | — | — | — | — |
| 2015 | 20 | A RAW | Dayton Dragons | — | 402 | 381 | 90 | 19 | 5 | 9 | 15 | 103 | 3 | 13 | 3 | 236 | 271 | 383 | 654 | 147 | 300 | 26 | 4 | 287 | 29 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Dayton Dragons | — | 90 | 84 | 15 | 3 | 0 | 2 | 4 | 32 | 2 | 2 | 1 | 179 | 233 | 286 | 519 | 107 | 260 | 36 | 4 | 227 | 40 | — | — | — | — | — | — |
| 2016 | 21 | A RAW | Dayton Dragons | — | 90 | 82 | 20 | 4 | 0 | 3 | 6 | 23 | 2 | 2 | 1 | 244 | 311 | 402 | 714 | 159 | 304 | 26 | 7 | 320 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Daytona Tortugas | — | 149 | 138 | 24 | 5 | 1 | 3 | 8 | 58 | 2 | 3 | 2 | 174 | 230 | 290 | 520 | 116 | 269 | 39 | 5 | 232 | 43 | — | — | — | — | — | — |
| 2017 | 22 | A+ RAW | Daytona Tortugas | — | 149 | 136 | 29 | 6 | 1 | 4 | 10 | 41 | 2 | 3 | 2 | 213 | 277 | 360 | 637 | 147 | 272 | 28 | 7 | 284 | 43 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 3 teams | — | 332 | 299 | 68 | 14 | 3 | 5 | 20 | 101 | 7 | 8 | 5 | 227 | 291 | 344 | 636 | 117 | 318 | 30 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 23 | AA RAW | 3 teams | — | 332 | 289 | 77 | 17 | 4 | 6 | 30 | 79 | 7 | 8 | 5 | 266 | 350 | 415 | 765 | 149 | 340 | 24 | 9 | 338 | 74 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 3 teams | — | 420 | 397 | 89 | 18 | 7 | 10 | 17 | 143 | 5 | 11 | 3 | 224 | 265 | 380 | 645 | 156 | 322 | 34 | 4 | 275 | 72 | — | — | — | — | — | — |
| 2019 | 24 | AAA RAW | 3 teams | — | 420 | 389 | 102 | 23 | 8 | 10 | 25 | 114 | 5 | 11 | 3 | 262 | 315 | 440 | 755 | 177 | 346 | 27 | 6 | 332 | 72 | — | — | — | — | — | — |
| 2020 | 25 | INTL MLE | Tigres del Licey | — | 36 | 31 | 7 | 0 | 0 | 3 | 5 | 8 | 0 | 2 | 0 | 226 | 333 | 516 | 849 | 290 | 200 | 22 | 14 | — | — | — | — | — | — | — | — |
| 2020 | 25 | INTL RAW | Tigres del Licey | — | 36 | 31 | 7 | 0 | 0 | 3 | 5 | 8 | 0 | 2 | 0 | 226 | 333 | 516 | 849 | 290 | 200 | 22 | 14 | 371 | 137 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 347 | 309 | 61 | 16 | 0 | 9 | 27 | 120 | 10 | 8 | 3 | 197 | 283 | 337 | 620 | 139 | 287 | 35 | 8 | 275 | 72 | — | — | — | — | — | — |
| 2021 | 26 | AAA RAW | 2 teams | — | 347 | 295 | 72 | 19 | 0 | 14 | 41 | 96 | 10 | 8 | 3 | 244 | 355 | 451 | 806 | 207 | 312 | 28 | 12 | 360 | 72 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Iowa Cubs | — | 409 | 374 | 81 | 18 | 3 | 13 | 24 | 151 | 11 | 13 | 6 | 217 | 284 | 385 | 669 | 168 | 324 | 37 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2022 | 27 | AAA RAW | Iowa Cubs | — | 409 | 362 | 94 | 21 | 3 | 19 | 36 | 124 | 11 | 13 | 6 | 260 | 345 | 492 | 836 | 232 | 342 | 30 | 9 | 368 | 79 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Worcester Red Sox | — | 325 | 285 | 49 | 9 | 2 | 7 | 28 | 137 | 10 | 11 | 4 | 172 | 269 | 291 | 561 | 119 | 294 | 42 | 9 | 251 | 56 | — | — | — | — | — | — |
| 2023 | 28 | AAA RAW | Worcester Red Sox | — | 325 | 273 | 59 | 14 | 2 | 10 | 40 | 117 | 10 | 11 | 4 | 216 | 337 | 392 | 729 | 176 | 331 | 36 | 12 | 330 | 56 | — | — | — | — | — | — |
| 2024 | 29 | INTL MLE | Algodoneros de Guasave | — | 65 | 54 | 13 | 4 | 0 | 1 | 11 | 14 | 0 | 0 | 3 | 241 | 369 | 370 | 740 | 130 | 308 | 22 | 17 | — | — | — | — | — | — | — | — |
| 2024 | 29 | INTL RAW | Algodoneros de Guasave | — | 65 | 54 | 13 | 4 | 0 | 1 | 11 | 14 | 0 | 0 | 3 | 241 | 369 | 370 | 740 | 130 | 308 | 22 | 17 | 340 | 117 | — | — | — | — | — | — |
| 2025 | 30 | INTL MLE | Senadores de San Juan | — | 120 | 106 | 23 | 4 | 0 | 2 | 12 | 38 | 1 | 0 | 1 | 217 | 303 | 311 | 614 | 94 | 313 | 32 | 10 | — | — | — | — | — | — | — | — |
| 2025 | 30 | INTL RAW | Senadores de San Juan | — | 120 | 106 | 23 | 4 | 0 | 2 | 12 | 38 | 1 | 0 | 1 | 217 | 303 | 311 | 614 | 94 | 313 | 32 | 10 | 282 | 77 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | AZL Reds | — | 166 | 157 | 28 | 6 | 1 | 3 | 7 | 65 | 1 | 12 | 1 | 178 | 221 | 287 | 507 | 108 | 269 | 39 | 4 | 225 | 38 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Dayton Dragons | — | 402 | 386 | 70 | 14 | 4 | 6 | 10 | 145 | 3 | 13 | 3 | 181 | 208 | 285 | 493 | 104 | 266 | 36 | 2 | 211 | 29 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Dayton Dragons | — | 90 | 84 | 15 | 3 | 0 | 2 | 4 | 32 | 2 | 2 | 1 | 179 | 233 | 286 | 519 | 107 | 261 | 36 | 4 | 227 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Daytona Tortugas | — | 149 | 138 | 24 | 5 | 1 | 3 | 8 | 58 | 2 | 3 | 2 | 174 | 230 | 290 | 520 | 116 | 270 | 39 | 5 | 232 | 43 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | 3 teams | — | 332 | 302 | 68 | 14 | 3 | 5 | 20 | 101 | 7 | 8 | 5 | 225 | 291 | 341 | 632 | 116 | 305 | 30 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 3 teams | — | 420 | 395 | 89 | 18 | 7 | 10 | 17 | 143 | 5 | 11 | 3 | 225 | 265 | 382 | 647 | 157 | 321 | 34 | 4 | 275 | 72 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 347 | 307 | 61 | 16 | 0 | 9 | 27 | 120 | 10 | 8 | 3 | 199 | 283 | 339 | 622 | 140 | 282 | 35 | 8 | 275 | 72 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Iowa Cubs | — | 409 | 371 | 81 | 18 | 3 | 13 | 24 | 151 | 11 | 13 | 6 | 218 | 284 | 388 | 672 | 170 | 317 | 37 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Worcester Red Sox | — | 325 | 284 | 49 | 9 | 2 | 7 | 28 | 137 | 10 | 11 | 4 | 173 | 269 | 292 | 562 | 120 | 288 | 42 | 9 | 251 | 56 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2861 | 2618 | 528 | 111 | 21 | 64 | 173 | 1012 | 52 | 83 | 32 | 202 | 265 | 333 | 598 | 132 | 298 | 35 | 6 | 237 | 47 | -182 | +4 | -0 | -19 | +62 | -13.8 | |
| / 162G | — | MLE | — | 650 | 595 | 120 | 25 | 5 | 15 | 39 | 230 | 12 | 19 | 7 | 202 | 265 | 336 | 601 | 134 | 297 | 35 | 6 | 237 | 47 | -41 | +1 | -0 | -4 | +14 | -3.1 | |
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.
2023 AAAWorcester Red Sox · 325 PAwOBA .323 → .251 (−73)K% 36.0% → 42.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.00% | ÷1.023 | ×1.200 | — | — | 42.23% |
| BB% (unintentional) /PA | 12.31% | ÷0.986 | ×0.690 | — | ×0.992 | 8.55% |
| HBP% /PA | 3.08% | — | ×0.940 | — | ×0.992 | 2.87% |
| Singles /BIP | 21.15% | ÷0.996 | ×0.930 | ×1.050 | ×0.992 | 20.57% |
| Doubles /BIP | 8.97% | ÷1.309 | ×0.830 | ×1.050 | ×0.992 | 5.93% |
| Triples /BIP | 1.28% | ÷0.905 | ×0.970 | ×1.050 | ×0.992 | 1.43% |
| Home runs /BIP | 6.41% | ÷1.008 | ×0.700 | — | ×0.992 | 4.42% |
Factors used: league row International League. Park (home-season share, regressed): HR 102, 1B 99, 2B 162, 3B 81, K 105, 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 ×1.050.
Result: wOBA .323 → .251; ISO .176 → .122; BABIP .331 → .288. 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).
2022 AAAIowa Cubs · 409 PAwOBA .358 → .285 (−74)K% 30.3% → 36.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.32% | ÷0.988 | ×1.200 | — | — | 36.82% |
| BB% (unintentional) /PA | 8.80% | ÷1.048 | ×0.690 | — | ×1.003 | 5.81% |
| HBP% /PA | 2.69% | — | ×0.940 | — | ×1.003 | 2.54% |
| Singles /BIP | 21.43% | ÷0.985 | ×0.930 | ×1.033 | ×1.003 | 20.95% |
| Doubles /BIP | 8.82% | ÷0.967 | ×0.830 | ×1.033 | ×1.003 | 7.84% |
| Triples /BIP | 1.26% | ÷1.118 | ×0.970 | ×1.033 | ×1.003 | 1.13% |
| Home runs /BIP | 7.98% | ÷0.996 | ×0.700 | — | ×1.003 | 5.63% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — 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 ×1.033.
Result: wOBA .358 → .285; ISO .232 → .167; BABIP .342 → .317. 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).
2021 AAALouisville Bats · 286 PAwOBA .353 → .276 (−78)K% 26.9% → 34.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.92% | ÷0.949 | ×1.200 | — | — | 34.05% |
| BB% (unintentional) /PA | 12.59% | ÷1.099 | ×0.690 | — | ×1.018 | 8.04% |
| HBP% /PA | 2.80% | — | ×0.940 | — | ×1.018 | 2.68% |
| Singles /BIP | 19.51% | ÷0.994 | ×0.930 | ×1.007 | ×1.018 | 18.73% |
| Doubles /BIP | 9.76% | ÷0.945 | ×0.830 | ×1.007 | ×1.018 | 8.79% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | ×1.007 | ×1.018 | 0.00% |
| Home runs /BIP | 6.71% | ÷1.088 | ×0.700 | — | ×1.018 | 4.39% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 99, 2B 89, 3B 80, K 90, BB 120 — 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 ×1.007.
Result: wOBA .353 → .276; ISO .203 → .144; BABIP .312 → .286. 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).
2021 AAChattanooga Lookouts · 61 PAwOBA .341 → .268 (−73)K% 31.1% → 36.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.15% | ÷1.040 | ×1.220 | — | — | 36.52% |
| BB% (unintentional) /PA | 8.20% | ÷0.936 | ×0.690 | — | ×0.988 | 5.97% |
| HBP% /PA | 3.28% | — | ×0.850 | — | ×0.988 | 2.75% |
| Singles /BIP | 20.00% | ÷1.011 | ×0.940 | — | ×0.988 | 18.37% |
| Doubles /BIP | 8.57% | ÷1.183 | ×0.870 | — | ×0.988 | 6.23% |
| Triples /BIP | 0.00% | ÷0.912 | ×0.920 | — | ×0.988 | 0.00% |
| Home runs /BIP | 8.57% | ÷0.950 | ×0.780 | — | ×0.988 | 6.96% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 102, 2B 137, 3B 82, K 108, BB 87 — 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 .341 → .268; ISO .222 → .168; BABIP .312 → .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).
2019 AAALouisville Bats · 298 PAwOBA .346 → .274 (−73)K% 28.2% → 35.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.19% | ÷0.960 | ×1.200 | — | — | 35.22% |
| BB% (unintentional) /PA | 6.38% | ÷1.151 | ×0.690 | — | ×1.048 | 4.01% |
| HBP% /PA | 1.34% | — | ×0.940 | — | ×1.048 | 1.32% |
| Singles /BIP | 22.51% | ÷1.018 | ×0.930 | ×0.950 | ×1.048 | 20.49% |
| Doubles /BIP | 8.38% | ÷1.082 | ×0.830 | ×0.950 | ×1.048 | 6.40% |
| Triples /BIP | 3.14% | ÷1.150 | ×0.970 | ×0.950 | ×1.048 | 2.64% |
| Home runs /BIP | 5.24% | ÷0.957 | ×0.840 | — | ×1.048 | 4.81% |
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 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .346 → .274; ISO .211 → .168; BABIP .359 → .310. 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 · 76 PAwOBA .336 → .279 (−56)K% 23.7% → 29.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.68% | ÷0.967 | ×1.220 | — | — | 29.88% |
| BB% (unintentional) /PA | 6.58% | ÷0.949 | ×0.680 | — | ×1.012 | 4.77% |
| HBP% /PA | 0.00% | — | ×0.840 | — | ×1.012 | 0.00% |
| Singles /BIP | 24.53% | ÷0.974 | ×0.920 | — | ×1.012 | 23.44% |
| Doubles /BIP | 11.32% | ÷1.160 | ×0.910 | — | ×1.012 | 8.98% |
| Triples /BIP | 3.77% | ÷0.900 | ×0.880 | — | ×1.012 | 3.73% |
| Home runs /BIP | 0.00% | ÷0.979 | ×0.800 | — | ×1.012 | 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 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average).
Result: wOBA .336 → .279; ISO .141 → .115; BABIP .396 → .362. 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 · 186 PAwOBA .329 → .294 (−35)K% 22.0% → 26.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.04% | ÷1.030 | ×1.220 | — | — | 26.10% |
| BB% (unintentional) /PA | 9.14% | ÷0.967 | ×0.680 | — | ×1.027 | 6.60% |
| HBP% /PA | 1.61% | — | ×0.840 | — | ×1.027 | 1.39% |
| Singles /BIP | 30.83% | ÷1.023 | ×0.920 | ×1.002 | ×1.027 | 28.52% |
| Doubles /BIP | 4.17% | ÷1.039 | ×0.910 | ×1.002 | ×1.027 | 3.75% |
| Triples /BIP | 1.67% | ÷1.006 | ×0.880 | ×1.002 | ×1.027 | 1.50% |
| Home runs /BIP | 1.67% | ÷0.909 | ×0.800 | — | ×1.027 | 1.51% |
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 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.
Result: wOBA .329 → .294; ISO .093 → .086; BABIP .364 → .335. 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 ADayton Dragons · 92 PAwOBA .368 → .271 (−97)K% 29.3% → 40.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.35% | ÷0.987 | ×1.360 | — | — | 40.42% |
| BB% (unintentional) /PA | 9.78% | ÷1.097 | ×0.690 | — | ×0.990 | 6.09% |
| HBP% /PA | 1.09% | — | ×0.780 | — | ×0.990 | 0.84% |
| Singles /BIP | 13.21% | ÷1.019 | ×0.920 | ×0.980 | ×0.990 | 11.57% |
| Doubles /BIP | 18.87% | ÷0.942 | ×0.830 | ×0.980 | ×0.990 | 16.12% |
| Triples /BIP | 1.89% | ÷0.900 | ×0.910 | ×0.980 | ×0.990 | 1.85% |
| Home runs /BIP | 5.66% | ÷1.103 | ×0.800 | — | ×0.990 | 4.07% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 88, 3B 80, K 97, BB 119 — 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 ×0.980.
Result: wOBA .368 → .271; ISO .263 → .194; BABIP .346 → .295. 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 — .