Alexander Palma
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2023 | 27 | INTLTigres de Ara… | 50 | .178/.260/.267 | 0 | 0 | 52 | — |
| 2024 | 28 | INTLAguilas del Z… | 68 | .266/.309/.312 | 0 | 0 | 78 | — |
| 2026 | 30 | INTLTiburones de … | 18 | .250/.333/.500 | 1 | 0 | 133 | — |
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 | 17 | ROK | DSL Yankees 2 | — | 151 | 143 | 41 | 6 | 0 | 2 | 7 | 15 | 1 | 4 | 1 | 287 | 325 | 371 | 695 | 84 | 310 | 10 | 5 | 314 | 15 | — | — | — | — | — | — |
| 2014 | 18 | ROK | GCL Yankees1 | — | 220 | 213 | 65 | 13 | 3 | 4 | 3 | 15 | 2 | 9 | 0 | 305 | 321 | 451 | 772 | 146 | 311 | 7 | 1 | 337 | 57 | — | — | — | — | — | — |
| 2015 | 19 | A | Charleston RiverDogs | — | 303 | 277 | 56 | 4 | 4 | 1 | 15 | 57 | 3 | 8 | 4 | 202 | 251 | 256 | 507 | 54 | 248 | 19 | 5 | 227 | 10 | — | — | — | — | — | — |
| 2016 | 20 | A | Charleston RiverDogs | — | 251 | 238 | 63 | 17 | 1 | 6 | 9 | 35 | 1 | 5 | 4 | 265 | 294 | 420 | 715 | 155 | 286 | 14 | 4 | 312 | 54 | — | — | — | — | — | — |
| 2017 | 21 | A+ | Tampa Yankees | — | 187 | 173 | 48 | 15 | 1 | 3 | 11 | 25 | 1 | 5 | 5 | 277 | 324 | 428 | 752 | 150 | 308 | 13 | 6 | 330 | 78 | — | — | — | — | — | — |
| 2017 | 21 | A | Charleston RiverDogs | — | 28 | 27 | 8 | 2 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 296 | 321 | 481 | 803 | 185 | 368 | 25 | 4 | 353 | 64 | — | — | — | — | — | — |
| 2017 | 21 | INTL | Leones del Caracas | — | 198 | 190 | 57 | 13 | 1 | 1 | 8 | 18 | 0 | 5 | 2 | 300 | 328 | 395 | 723 | 95 | 327 | 9 | 4 | 323 | 105 | — | — | — | — | — | — |
| 2018 | 22 | A+ | Tampa Tarpons | — | 210 | 194 | 58 | 8 | 1 | 7 | 11 | 28 | 4 | 3 | 1 | 299 | 349 | 459 | 808 | 160 | 319 | 13 | 5 | 358 | 85 | — | — | — | — | — | — |
| 2019 | 23 | A+ | Tampa Tarpons | — | 115 | 104 | 27 | 3 | 0 | 6 | 8 | 23 | 1 | 2 | 0 | 260 | 319 | 462 | 780 | 202 | 273 | 20 | 7 | 339 | 65 | — | — | — | — | — | — |
| 2019 | 23 | ROK | GCL Yankees East | — | 53 | 51 | 22 | 7 | 0 | 4 | 2 | 9 | 0 | 1 | 0 | 431 | 453 | 804 | 1.257 | 373 | 474 | 17 | 4 | 541 | 128 | — | — | — | — | — | — |
| 2020 | 24 | INTL | Leones del Caracas | — | 159 | 146 | 39 | 10 | 0 | 5 | 9 | 19 | 1 | 0 | 0 | 267 | 314 | 438 | 752 | 171 | 272 | 12 | 6 | 327 | 107 | — | — | — | — | — | — |
| 2021 | 25 | AA | Biloxi Shuckers | — | 347 | 320 | 80 | 14 | 0 | 13 | 19 | 61 | 1 | 0 | 2 | 250 | 293 | 416 | 709 | 166 | 266 | 18 | 5 | 308 | 59 | — | — | — | — | — | — |
| 2021 | 25 | INTL | Leones del Caracas | — | 180 | 166 | 53 | 11 | 0 | 4 | 13 | 15 | 0 | 0 | 0 | 319 | 369 | 458 | 827 | 139 | 331 | 8 | 7 | 366 | 134 | — | — | — | — | — | — |
| 2022 | 26 | INTL | Leones del Caracas | — | 188 | 177 | 44 | 7 | 0 | 3 | 9 | 26 | 0 | 1 | 1 | 249 | 285 | 339 | 624 | 90 | 273 | 14 | 5 | 278 | 74 | — | — | — | — | — | — |
| 2023 | 27 | INTL | Tigres de Aragua | — | 50 | 45 | 8 | 4 | 0 | 0 | 5 | 14 | 0 | 0 | 0 | 178 | 260 | 267 | 527 | 89 | 258 | 28 | 10 | 245 | 52 | — | — | — | — | — | — |
| 2024 | 28 | INTL | Aguilas del Zulia | — | 68 | 64 | 17 | 3 | 0 | 0 | 4 | 7 | 0 | 0 | 0 | 266 | 309 | 312 | 621 | 47 | 298 | 10 | 6 | 284 | 78 | — | — | — | — | — | — |
| 2026 | 30 | INTL | Tiburones de La Guaira | — | 18 | 16 | 4 | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 250 | 333 | 500 | 833 | 250 | 214 | 6 | 11 | 365 | 133 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 17 | ROK MLE | DSL Yankees 2 | — | 151 | 145 | 25 | 3 | 0 | 1 | 5 | 18 | 1 | 4 | 1 | 172 | 205 | 214 | 419 | 41 | 196 | 12 | 3 | 191 | 15 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | GCL Yankees1 | — | 220 | 214 | 50 | 9 | 2 | 3 | 2 | 22 | 2 | 9 | 0 | 234 | 248 | 336 | 584 | 103 | 243 | 10 | 1 | 252 | 57 | — | — | — | — | — | — |
| 2015 | 19 | A MLE | Charleston RiverDogs | — | 303 | 283 | 47 | 3 | 3 | 1 | 9 | 79 | 3 | 8 | 4 | 166 | 200 | 208 | 408 | 42 | 220 | 26 | 3 | 183 | 10 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Charleston RiverDogs | — | 251 | 241 | 52 | 12 | 1 | 5 | 6 | 46 | 1 | 5 | 4 | 216 | 238 | 336 | 574 | 120 | 240 | 18 | 2 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 21 | A+ MLE | Tampa Yankees | — | 187 | 176 | 43 | 14 | 1 | 3 | 8 | 37 | 1 | 5 | 5 | 244 | 281 | 386 | 667 | 142 | 287 | 20 | 4 | 283 | 78 | — | — | — | — | — | — |
| 2017 | 21 | A MLE | Charleston RiverDogs | — | 28 | 27 | 6 | 1 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 222 | 250 | 370 | 620 | 148 | 331 | 36 | 4 | 263 | 64 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | Tampa Tarpons | — | 210 | 197 | 50 | 8 | 1 | 5 | 8 | 40 | 4 | 3 | 1 | 254 | 297 | 381 | 677 | 127 | 294 | 19 | 4 | 294 | 85 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Tampa Tarpons | — | 115 | 106 | 22 | 3 | 0 | 5 | 6 | 33 | 1 | 2 | 0 | 208 | 257 | 377 | 634 | 170 | 223 | 29 | 5 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 23 | ROK MLE | GCL Yankees East | — | 53 | 52 | 15 | 4 | 0 | 3 | 1 | 13 | 0 | 1 | 0 | 288 | 302 | 538 | 840 | 250 | 344 | 25 | 2 | 357 | 128 | — | — | — | — | — | — |
| 2021 | 25 | AA MLE | Biloxi Shuckers | — | 347 | 329 | 72 | 11 | 0 | 11 | 11 | 76 | 1 | 0 | 2 | 219 | 246 | 353 | 599 | 134 | 237 | 22 | 3 | 256 | 59 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | DSL Yankees 2 | — | 151 | 145 | 25 | 3 | 0 | 1 | 5 | 18 | 1 | 4 | 1 | 172 | 205 | 214 | 419 | 41 | 190 | 12 | 3 | 191 | 15 | — | — | — | — | — | — |
| 2013 | 17 | ROK RAW | DSL Yankees 2 | — | 151 | 143 | 41 | 6 | 0 | 2 | 7 | 15 | 1 | 4 | 1 | 287 | 325 | 371 | 695 | 84 | 310 | 10 | 5 | 314 | 15 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | GCL Yankees1 | — | 220 | 214 | 50 | 9 | 2 | 3 | 2 | 22 | 2 | 9 | 0 | 234 | 248 | 336 | 584 | 103 | 246 | 10 | 1 | 252 | 57 | — | — | — | — | — | — |
| 2014 | 18 | ROK RAW | GCL Yankees1 | — | 220 | 213 | 65 | 13 | 3 | 4 | 3 | 15 | 2 | 9 | 0 | 305 | 321 | 451 | 772 | 146 | 311 | 7 | 1 | 337 | 57 | — | — | — | — | — | — |
| 2015 | 19 | A MLE | Charleston RiverDogs | — | 303 | 283 | 47 | 3 | 3 | 1 | 9 | 79 | 3 | 8 | 4 | 166 | 200 | 208 | 408 | 42 | 223 | 26 | 3 | 183 | 10 | — | — | — | — | — | — |
| 2015 | 19 | A RAW | Charleston RiverDogs | — | 303 | 277 | 56 | 4 | 4 | 1 | 15 | 57 | 3 | 8 | 4 | 202 | 251 | 256 | 507 | 54 | 248 | 19 | 5 | 227 | 10 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Charleston RiverDogs | — | 251 | 241 | 52 | 12 | 1 | 5 | 6 | 46 | 1 | 5 | 4 | 216 | 238 | 336 | 574 | 120 | 245 | 18 | 2 | 248 | 54 | — | — | — | — | — | — |
| 2016 | 20 | A RAW | Charleston RiverDogs | — | 251 | 238 | 63 | 17 | 1 | 6 | 9 | 35 | 1 | 5 | 4 | 265 | 294 | 420 | 715 | 155 | 286 | 14 | 4 | 312 | 54 | — | — | — | — | — | — |
| 2017 | 21 | INTL MLE | 3 teams | — | 413 | 393 | 93 | 30 | 1 | 7 | 17 | 91 | 1 | 10 | 7 | 237 | 270 | 372 | 642 | 135 | 291 | 22 | 4 | 280 | 76 | — | — | — | — | — | — |
| 2017 | 21 | INTL RAW | 3 teams | — | 413 | 390 | 113 | 30 | 2 | 5 | 20 | 50 | 1 | 10 | 7 | 290 | 326 | 415 | 741 | 126 | 321 | 12 | 5 | 328 | 76 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | Tampa Tarpons | — | 210 | 197 | 50 | 8 | 1 | 5 | 8 | 40 | 4 | 3 | 1 | 254 | 297 | 381 | 677 | 127 | 294 | 19 | 4 | 294 | 85 | — | — | — | — | — | — |
| 2018 | 22 | A+ RAW | Tampa Tarpons | — | 210 | 194 | 58 | 8 | 1 | 7 | 11 | 28 | 4 | 3 | 1 | 299 | 349 | 459 | 808 | 160 | 319 | 13 | 5 | 358 | 85 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | 2 teams | — | 168 | 158 | 36 | 7 | 0 | 8 | 7 | 46 | 1 | 3 | 0 | 228 | 265 | 424 | 689 | 196 | 264 | 27 | 4 | 293 | 85 | — | — | — | — | — | — |
| 2019 | 23 | A+ RAW | 2 teams | — | 168 | 155 | 49 | 10 | 0 | 10 | 10 | 32 | 1 | 3 | 0 | 316 | 361 | 574 | 936 | 258 | 339 | 19 | 6 | 402 | 85 | — | — | — | — | — | — |
| 2020 | 24 | INTL MLE | Leones del Caracas | — | 159 | 146 | 39 | 10 | 0 | 5 | 9 | 19 | 1 | 0 | 0 | 267 | 314 | 438 | 752 | 171 | 272 | 12 | 6 | — | — | — | — | — | — | — | — |
| 2020 | 24 | INTL RAW | Leones del Caracas | — | 159 | 146 | 39 | 10 | 0 | 5 | 9 | 19 | 1 | 0 | 0 | 267 | 314 | 438 | 752 | 171 | 272 | 12 | 6 | 327 | 107 | — | — | — | — | — | — |
| 2021 | 25 | AA MLE | 2 teams | — | 527 | 502 | 107 | 16 | 0 | 16 | 17 | 115 | 1 | 0 | 2 | 213 | 240 | 341 | 581 | 127 | 241 | 22 | 3 | 256 | 59 | — | — | — | — | — | — |
| 2021 | 25 | AA RAW | 2 teams | — | 527 | 486 | 133 | 25 | 0 | 17 | 32 | 76 | 1 | 0 | 2 | 274 | 319 | 430 | 749 | 156 | 290 | 14 | 6 | 328 | 59 | — | — | — | — | — | — |
| 2022 | 26 | INTL MLE | Leones del Caracas | — | 188 | 177 | 44 | 7 | 0 | 3 | 9 | 26 | 0 | 1 | 1 | 249 | 285 | 339 | 624 | 90 | 273 | 14 | 5 | — | — | — | — | — | — | — | — |
| 2022 | 26 | INTL RAW | Leones del Caracas | — | 188 | 177 | 44 | 7 | 0 | 3 | 9 | 26 | 0 | 1 | 1 | 249 | 285 | 339 | 624 | 90 | 273 | 14 | 5 | 278 | 74 | — | — | — | — | — | — |
| 2023 | 27 | INTL MLE | Tigres de Aragua | — | 50 | 45 | 8 | 4 | 0 | 0 | 5 | 14 | 0 | 0 | 0 | 178 | 260 | 267 | 527 | 89 | 258 | 28 | 10 | — | — | — | — | — | — | — | — |
| 2023 | 27 | INTL RAW | Tigres de Aragua | — | 50 | 45 | 8 | 4 | 0 | 0 | 5 | 14 | 0 | 0 | 0 | 178 | 260 | 267 | 527 | 89 | 258 | 28 | 10 | 245 | 52 | — | — | — | — | — | — |
| 2024 | 28 | INTL MLE | Aguilas del Zulia | — | 68 | 64 | 17 | 3 | 0 | 0 | 4 | 7 | 0 | 0 | 0 | 266 | 309 | 312 | 621 | 47 | 298 | 10 | 6 | — | — | — | — | — | — | — | — |
| 2024 | 28 | INTL RAW | Aguilas del Zulia | — | 68 | 64 | 17 | 3 | 0 | 0 | 4 | 7 | 0 | 0 | 0 | 266 | 309 | 312 | 621 | 47 | 298 | 10 | 6 | 284 | 78 | — | — | — | — | — | — |
| 2026 | 30 | INTL MLE | Tiburones de La Guaira | — | 18 | 16 | 4 | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 250 | 333 | 500 | 833 | 250 | 214 | 6 | 11 | — | — | — | — | — | — | — | — |
| 2026 | 30 | INTL RAW | Tiburones de La Guaira | — | 18 | 16 | 4 | 1 | 0 | 1 | 2 | 1 | 0 | 0 | 0 | 250 | 333 | 500 | 833 | 250 | 214 | 6 | 11 | 365 | 133 | — | — | — | — | — | — |
| 2013 | 17 | ROK MLE | DSL Yankees 2 | — | 151 | 144 | 25 | 3 | 0 | 1 | 5 | 18 | 1 | 4 | 1 | 174 | 205 | 215 | 421 | 42 | 196 | 12 | 3 | 191 | 15 | — | — | — | — | — | — |
| 2014 | 18 | ROK MLE | GCL Yankees1 | — | 220 | 214 | 50 | 9 | 2 | 3 | 2 | 22 | 2 | 9 | 0 | 234 | 248 | 336 | 584 | 103 | 243 | 10 | 1 | 252 | 57 | — | — | — | — | — | — |
| 2015 | 19 | A MLE | Charleston RiverDogs | — | 303 | 288 | 47 | 3 | 3 | 1 | 9 | 79 | 3 | 8 | 4 | 163 | 200 | 205 | 405 | 42 | 220 | 26 | 3 | 183 | 10 | — | — | — | — | — | — |
| 2016 | 20 | A MLE | Charleston RiverDogs | — | 251 | 242 | 52 | 12 | 1 | 5 | 6 | 46 | 1 | 5 | 4 | 215 | 238 | 335 | 573 | 120 | 240 | 18 | 2 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 21 | INTL MLE | 3 teams | — | 413 | 392 | 93 | 30 | 1 | 7 | 17 | 91 | 1 | 10 | 7 | 237 | 270 | 372 | 643 | 135 | 293 | 22 | 4 | 280 | 76 | — | — | — | — | — | — |
| 2018 | 22 | A+ MLE | Tampa Tarpons | — | 210 | 196 | 50 | 8 | 1 | 5 | 8 | 40 | 4 | 3 | 1 | 255 | 297 | 383 | 679 | 128 | 294 | 19 | 4 | 294 | 85 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | 2 teams | — | 168 | 158 | 36 | 7 | 0 | 8 | 7 | 46 | 1 | 3 | 0 | 228 | 265 | 424 | 689 | 196 | 261 | 27 | 4 | 293 | 85 | — | — | — | — | — | — |
| 2021 | 25 | AA MLE | 2 teams | — | 527 | 504 | 107 | 16 | 0 | 16 | 17 | 115 | 1 | 0 | 2 | 212 | 240 | 339 | 580 | 127 | 237 | 22 | 3 | 256 | 59 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2726 | 2581 | 572 | 113 | 8 | 55 | 100 | 524 | 15 | 43 | 20 | 222 | 255 | 336 | 590 | 114 | 255 | 19 | 4 | 207 | 26 | -240 | +1 | +0 | -29 | +59 | -21.4 | |
| / 162G | — | MLE | — | 650 | 615 | 136 | 27 | 2 | 13 | 24 | 125 | 4 | 10 | 5 | 221 | 255 | 335 | 590 | 114 | 255 | 19 | 4 | 207 | 26 | -57 | +0 | +0 | -7 | +14 | -5.1 | |
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.
2021 AABiloxi Shuckers · 347 PAwOBA .303 → .256 (−46)K% 17.6% → 21.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.58% | ÷0.980 | ×1.220 | — | — | 21.87% |
| BB% (unintentional) /PA | 4.90% | ÷1.033 | ×0.690 | — | ×0.988 | 3.23% |
| HBP% /PA | 0.29% | — | ×0.850 | — | ×0.988 | 0.24% |
| Singles /BIP | 20.46% | ÷0.993 | ×0.940 | ×1.001 | ×0.988 | 19.14% |
| Doubles /BIP | 5.41% | ÷1.124 | ×0.870 | ×1.001 | ×0.988 | 4.14% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.920 | ×1.001 | ×0.988 | 0.00% |
| Home runs /BIP | 5.02% | ÷0.929 | ×0.780 | — | ×0.988 | 4.16% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 99, 2B 125, 3B 100, K 96, BB 107 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.
Result: wOBA .303 → .256; ISO .166 → .135; BABIP .266 → .237. 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 A+Tampa Tarpons · 115 PAwOBA .335 → .264 (−71)K% 20.0% → 28.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.989 | ×1.420 | — | — | 28.71% |
| BB% (unintentional) /PA | 6.96% | ÷1.055 | ×0.750 | — | ×0.988 | 4.89% |
| HBP% /PA | 0.87% | — | ×0.930 | — | ×0.988 | 0.80% |
| Singles /BIP | 22.22% | ÷1.072 | ×0.920 | ×0.950 | ×0.988 | 17.89% |
| Doubles /BIP | 3.70% | ÷0.954 | ×0.960 | ×0.950 | ×0.988 | 3.50% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×0.950 | ×0.988 | 0.00% |
| Home runs /BIP | 7.41% | ÷0.960 | ×0.880 | — | ×0.988 | 6.71% |
Factors used: league row FSL. Park (home-season share, regressed): HR 92, 1B 114, 2B 91, 3B 80, K 98, BB 111 — 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 ×0.950.
Result: wOBA .335 → .264; ISO .202 → .171; BABIP .273 → .223. 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 ROKGCL Yankees East · 53 PAwOBA .524 → .357 (−168)K% 17.0% → 24.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.98% | ÷1.000 | ×1.440 | — | — | 24.45% |
| BB% (unintentional) /PA | 3.77% | ÷1.000 | ×0.620 | — | ×0.955 | 2.23% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.955 | 0.00% |
| Singles /BIP | 26.19% | ÷1.000 | ×0.820 | — | ×0.955 | 20.51% |
| Doubles /BIP | 16.67% | ÷1.000 | ×0.720 | — | ×0.955 | 11.46% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.955 | 0.00% |
| Home runs /BIP | 9.52% | ÷1.000 | ×0.780 | — | ×0.955 | 7.09% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).
Result: wOBA .524 → .357; ISO .373 → .249; BABIP .474 → .344. 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+Tampa Tarpons · 210 PAwOBA .349 → .294 (−55)K% 13.3% → 18.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.33% | ÷1.004 | ×1.420 | — | — | 18.85% |
| BB% (unintentional) /PA | 5.24% | ÷1.015 | ×0.750 | — | ×0.998 | 3.86% |
| HBP% /PA | 1.90% | — | ×0.930 | — | ×0.998 | 1.77% |
| Singles /BIP | 25.30% | ÷1.003 | ×0.920 | ×0.993 | ×0.998 | 23.00% |
| Doubles /BIP | 4.82% | ÷0.891 | ×0.960 | ×0.993 | ×0.998 | 5.14% |
| Triples /BIP | 0.60% | ÷0.983 | ×0.810 | ×0.993 | ×0.998 | 0.49% |
| Home runs /BIP | 4.22% | ÷1.205 | ×0.880 | — | ×0.998 | 3.07% |
Factors used: league row FSL. Park (home-season share, regressed): HR 141, 1B 101, 2B 78, 3B 97, K 101, BB 103 — 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 ×0.993.
Result: wOBA .349 → .294; ISO .160 → .125; BABIP .319 → .294. 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+Tampa Yankees · 187 PAwOBA .323 → .283 (−40)K% 13.4% → 20.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.37% | ÷0.949 | ×1.420 | — | — | 20.01% |
| BB% (unintentional) /PA | 5.88% | ÷1.007 | ×0.750 | — | ×1.012 | 4.43% |
| HBP% /PA | 0.53% | — | ×0.930 | — | ×1.012 | 0.50% |
| Singles /BIP | 19.59% | ÷1.071 | ×0.920 | ×1.033 | ×1.012 | 17.59% |
| Doubles /BIP | 10.14% | ÷0.995 | ×0.960 | ×1.033 | ×1.012 | 10.23% |
| Triples /BIP | 0.68% | ÷1.031 | ×0.810 | ×1.033 | ×1.012 | 0.56% |
| Home runs /BIP | 2.03% | ÷0.949 | ×0.880 | — | ×1.012 | 1.90% |
Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 114, 2B 99, 3B 106, K 90, BB 101 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.
Result: wOBA .323 → .283; ISO .150 → .138; BABIP .308 → .287. 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 ACharleston RiverDogs · 28 PAwOBA .342 → .263 (−79)K% 25.0% → 35.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.958 | ×1.340 | — | — | 34.95% |
| BB% (unintentional) /PA | 3.57% | ÷1.051 | ×0.660 | — | — | 2.24% |
| HBP% /PA | 0.00% | — | ×0.770 | — | — | 0.00% |
| Singles /BIP | 25.00% | ÷0.978 | ×0.920 | — | — | 23.51% |
| Doubles /BIP | 10.00% | ÷1.010 | ×0.820 | — | — | 8.12% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | — | — | 0.00% |
| Home runs /BIP | 5.00% | ÷0.945 | ×0.820 | — | — | 4.34% |
Factors used: league row SAL. Park (home-season share, regressed): HR 89, 1B 96, 2B 102, 3B 80, K 92, 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).
Result: wOBA .342 → .263; ISO .185 → .138; BABIP .368 → .331. 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 ACharleston RiverDogs · 251 PAwOBA .305 → .248 (−57)K% 13.9% → 18.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.94% | ÷1.017 | ×1.340 | — | — | 18.38% |
| BB% (unintentional) /PA | 3.59% | ÷0.995 | ×0.660 | — | ×1.015 | 2.41% |
| HBP% /PA | 0.40% | — | ×0.770 | — | ×1.015 | 0.31% |
| Singles /BIP | 19.21% | ÷1.000 | ×0.920 | ×0.963 | ×1.015 | 17.28% |
| Doubles /BIP | 8.37% | ÷1.145 | ×0.820 | ×0.963 | ×1.015 | 5.86% |
| Triples /BIP | 0.49% | ÷0.930 | ×0.940 | ×0.963 | ×1.015 | 0.49% |
| Home runs /BIP | 2.96% | ÷0.895 | ×0.820 | — | ×1.015 | 2.75% |
Factors used: league row SAL. Park (home-season share, regressed): HR 79, 1B 100, 2B 129, 3B 86, K 103, BB 99 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.
Result: wOBA .305 → .248; ISO .155 → .125; BABIP .286 → .240. 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 ACharleston RiverDogs · 303 PAwOBA .222 → .183 (−39)K% 18.8% → 26.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.81% | ÷0.968 | ×1.340 | — | — | 26.03% |
| BB% (unintentional) /PA | 4.62% | ÷1.054 | ×0.660 | — | ×1.030 | 2.98% |
| HBP% /PA | 0.99% | — | ×0.770 | — | ×1.030 | 0.79% |
| Singles /BIP | 21.36% | ÷1.031 | ×0.920 | ×0.969 | ×1.030 | 19.04% |
| Doubles /BIP | 1.82% | ÷0.989 | ×0.820 | ×0.969 | ×1.030 | 1.51% |
| Triples /BIP | 1.82% | ÷1.041 | ×0.940 | ×0.969 | ×1.030 | 1.64% |
| Home runs /BIP | 0.45% | ÷0.937 | ×0.820 | — | ×1.030 | 0.41% |
Factors used: league row SAL. Park (home-season share, regressed): HR 87, 1B 106, 2B 98, 3B 108, K 94, BB 111 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.969.
Result: wOBA .222 → .183; ISO .054 → .046; BABIP .248 → .220. 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 — .