Danry Vasquez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 30 | INTLVenezuela | 201 | .309/.423/.407 | 4 | 9 | 135 | — |
| 2025 | 31 | INTLCardenales de… | 172 | .340/.436/.535 | 7 | 0 | 175 | — |
| 2026 | 32 | INTLCardenales de… | 46 | .229/.413/.429 | 2 | 1 | 146 | — |
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) | |||||||||||||||||||||||||||||||
| 2011 | 17 | ROK | GCL Tigers | — | 224 | 206 | 56 | 8 | 1 | 2 | 7 | 34 | 4 | 3 | 2 | 272 | 309 | 350 | 658 | 78 | 314 | 15 | 3 | 288 | 44 | — | — | — | — | — | — |
| 2012 | 18 | A | West Michigan Whitecaps | — | 112 | 99 | 16 | 3 | 0 | 1 | 7 | 20 | 1 | 0 | 0 | 162 | 224 | 222 | 447 | 61 | 185 | 18 | 6 | 200 | 7 | — | — | — | — | — | — |
| 2013 | 19 | A | Quad Cities River Bandits | — | 551 | 493 | 140 | 18 | 6 | 9 | 37 | 71 | 2 | 11 | 8 | 284 | 335 | 400 | 735 | 116 | 311 | 13 | 7 | 319 | 78 | — | — | — | — | — | — |
| 2014 | 20 | A+ | Lancaster JetHawks | — | 475 | 423 | 123 | 30 | 2 | 5 | 40 | 68 | 2 | 1 | 2 | 291 | 355 | 407 | 761 | 116 | 335 | 14 | 8 | 335 | 83 | — | — | — | — | — | — |
| 2014 | 20 | INTL | Leones del Caracas | — | 179 | 158 | 48 | 4 | 6 | 2 | 18 | 30 | 0 | 0 | 3 | 304 | 375 | 443 | 818 | 139 | 359 | 17 | 10 | 358 | 129 | — | — | — | — | — | — |
| 2015 | 21 | AA | Corpus Christi Hooks | — | 296 | 277 | 68 | 13 | 1 | 0 | 16 | 42 | 3 | 3 | 7 | 245 | 294 | 300 | 594 | 54 | 289 | 14 | 5 | 272 | 47 | — | — | — | — | — | — |
| 2015 | 21 | A+ | Lancaster JetHawks | — | 182 | 168 | 53 | 13 | 2 | 3 | 13 | 24 | 0 | 6 | 4 | 315 | 365 | 470 | 835 | 155 | 355 | 13 | 7 | 368 | 97 | — | — | — | — | — | — |
| 2015 | 21 | INTL | Leones del Caracas | — | 222 | 199 | 55 | 11 | 0 | 4 | 17 | 41 | 2 | 1 | 5 | 276 | 339 | 392 | 731 | 116 | 329 | 18 | 8 | 324 | 106 | — | — | — | — | — | — |
| 2016 | 22 | AA | Corpus Christi Hooks | — | 233 | 211 | 56 | 12 | 1 | 3 | 17 | 24 | 1 | 8 | 5 | 265 | 323 | 374 | 698 | 109 | 286 | 10 | 7 | 309 | 76 | — | — | — | — | — | — |
| 2016 | 22 | INTL | Leones del Caracas | — | 183 | 159 | 37 | 8 | 0 | 3 | 21 | 29 | 2 | 2 | 3 | 233 | 330 | 340 | 669 | 107 | 268 | 16 | 11 | 307 | 94 | — | — | — | — | — | — |
| 2017 | 23 | INTL | Tiburones de La Guaira | — | 195 | 156 | 39 | 11 | 1 | 1 | 34 | 36 | 4 | 0 | 5 | 250 | 397 | 353 | 749 | 103 | 317 | 18 | 17 | 349 | 122 | — | — | — | — | — | — |
| 2019 | 25 | AAA | Rieleros de Aguascalientes | — | 121 | 104 | 29 | 6 | 0 | 7 | 15 | 20 | 0 | 8 | 3 | 279 | 370 | 538 | 908 | 260 | 286 | 17 | 12 | 390 | 88 | — | — | — | — | — | — |
| 2019 | 25 | INTL | Tiburones de La Guaira | — | 153 | 136 | 50 | 5 | 1 | 5 | 15 | 9 | 1 | 7 | 3 | 368 | 434 | 529 | 964 | 162 | 366 | 6 | 10 | 424 | 173 | — | — | — | — | — | — |
| 2020 | 26 | INTL | Venezuela | — | 131 | 103 | 40 | 8 | 0 | 6 | 27 | 22 | 1 | 5 | 1 | 388 | 519 | 641 | 1.160 | 252 | 453 | 17 | 21 | 503 | 226 | — | — | — | — | — | — |
| 2021 | 27 | INTL | Venezuela | — | 231 | 194 | 52 | 9 | 0 | 4 | 34 | 33 | 1 | 4 | 3 | 268 | 380 | 376 | 756 | 108 | 304 | 14 | 15 | 345 | 119 | — | — | — | — | — | — |
| 2022 | 28 | INTL | Venezuela | — | 254 | 202 | 66 | 15 | 0 | 4 | 45 | 31 | 1 | 8 | 2 | 327 | 446 | 460 | 907 | 134 | 365 | 12 | 18 | 403 | 159 | — | — | — | — | — | — |
| 2023 | 29 | INTL | Tiburones de La Guaira | — | 208 | 169 | 50 | 14 | 0 | 0 | 36 | 30 | 2 | 2 | 5 | 296 | 425 | 379 | 804 | 83 | 357 | 14 | 17 | 371 | 137 | — | — | — | — | — | — |
| 2024 | 30 | INTL | Venezuela | — | 201 | 162 | 50 | 4 | 0 | 4 | 32 | 31 | 0 | 9 | 5 | 309 | 423 | 407 | 830 | 99 | 343 | 15 | 16 | 367 | 135 | — | — | — | — | — | — |
| 2025 | 31 | INTL | Cardenales de Lara | — | 172 | 144 | 49 | 7 | 0 | 7 | 24 | 21 | 2 | 0 | 0 | 340 | 436 | 535 | 971 | 194 | 362 | 12 | 14 | 427 | 175 | — | — | — | — | — | — |
| 2026 | 32 | INTL | Cardenales de Lara | — | 46 | 35 | 8 | 1 | 0 | 2 | 10 | 5 | 1 | 1 | 0 | 229 | 413 | 429 | 842 | 200 | 214 | 11 | 22 | 384 | 146 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2011 | 17 | ROK MLE | GCL Tigers | — | 224 | 209 | 48 | 6 | 1 | 2 | 4 | 49 | 4 | 3 | 2 | 230 | 258 | 297 | 555 | 67 | 274 | 22 | 2 | 233 | 44 | — | — | — | — | — | — |
| 2012 | 18 | A MLE | West Michigan Whitecaps | — | 112 | 102 | 16 | 3 | 0 | 1 | 4 | 28 | 1 | 0 | 0 | 157 | 196 | 216 | 412 | 59 | 180 | 25 | 4 | 179 | 7 | — | — | — | — | — | — |
| 2013 | 19 | A MLE | Quad Cities River Bandits | — | 551 | 507 | 133 | 18 | 6 | 7 | 25 | 94 | 2 | 11 | 8 | 262 | 300 | 363 | 663 | 101 | 290 | 17 | 5 | 284 | 78 | — | — | — | — | — | — |
| 2014 | 20 | A+ MLE | Lancaster JetHawks | — | 475 | 434 | 115 | 27 | 2 | 4 | 29 | 96 | 2 | 1 | 2 | 265 | 314 | 364 | 678 | 99 | 319 | 20 | 6 | 291 | 83 | — | — | — | — | — | — |
| 2015 | 21 | AA MLE | Corpus Christi Hooks | — | 296 | 281 | 63 | 12 | 1 | 0 | 12 | 53 | 3 | 3 | 7 | 224 | 264 | 274 | 538 | 50 | 274 | 18 | 4 | 237 | 47 | — | — | — | — | — | — |
| 2015 | 21 | A+ MLE | Lancaster JetHawks | — | 182 | 172 | 48 | 11 | 1 | 3 | 9 | 35 | 0 | 6 | 4 | 279 | 315 | 407 | 722 | 128 | 336 | 19 | 5 | 312 | 97 | — | — | — | — | — | — |
| 2016 | 22 | AA MLE | Corpus Christi Hooks | — | 233 | 215 | 55 | 11 | 1 | 2 | 13 | 28 | 1 | 8 | 5 | 256 | 301 | 344 | 645 | 88 | 278 | 12 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2019 | 25 | AAA MLE | Rieleros de Aguascalientes | — | 121 | 109 | 26 | 6 | 0 | 5 | 10 | 26 | 0 | 8 | 3 | 239 | 303 | 431 | 734 | 193 | 252 | 21 | 8 | 299 | 88 | — | — | — | — | — | — |
| 2011 | 17 | ROK MLE | GCL Tigers | — | 224 | 209 | 48 | 6 | 1 | 2 | 4 | 49 | 4 | 3 | 2 | 230 | 258 | 297 | 555 | 67 | 287 | 22 | 2 | 233 | 44 | — | — | — | — | — | — |
| 2011 | 17 | ROK RAW | GCL Tigers | — | 224 | 206 | 56 | 8 | 1 | 2 | 7 | 34 | 4 | 3 | 2 | 272 | 309 | 350 | 658 | 78 | 314 | 15 | 3 | 288 | 44 | — | — | — | — | — | — |
| 2012 | 18 | A MLE | West Michigan Whitecaps | — | 112 | 102 | 16 | 3 | 0 | 1 | 4 | 28 | 1 | 0 | 0 | 157 | 196 | 216 | 412 | 59 | 197 | 25 | 4 | 179 | 7 | — | — | — | — | — | — |
| 2012 | 18 | A RAW | West Michigan Whitecaps | — | 112 | 99 | 16 | 3 | 0 | 1 | 7 | 20 | 1 | 0 | 0 | 162 | 224 | 222 | 447 | 61 | 185 | 18 | 6 | 200 | 7 | — | — | — | — | — | — |
| 2013 | 19 | A MLE | Quad Cities River Bandits | — | 551 | 507 | 133 | 18 | 6 | 7 | 25 | 94 | 2 | 11 | 8 | 262 | 300 | 363 | 663 | 101 | 304 | 17 | 5 | 284 | 78 | — | — | — | — | — | — |
| 2013 | 19 | A RAW | Quad Cities River Bandits | — | 551 | 493 | 140 | 18 | 6 | 9 | 37 | 71 | 2 | 11 | 8 | 284 | 335 | 400 | 735 | 116 | 311 | 13 | 7 | 319 | 78 | — | — | — | — | — | — |
| 2014 | 20 | A+ MLE | 2 teams | — | 654 | 598 | 157 | 37 | 2 | 5 | 41 | 132 | 2 | 1 | 5 | 263 | 312 | 356 | 668 | 94 | 327 | 20 | 6 | 291 | 83 | — | — | — | — | — | — |
| 2014 | 20 | A+ RAW | 2 teams | — | 654 | 581 | 171 | 34 | 8 | 7 | 58 | 98 | 2 | 1 | 5 | 294 | 360 | 417 | 777 | 122 | 342 | 15 | 9 | 342 | 83 | — | — | — | — | — | — |
| 2015 | 21 | AA MLE | 3 teams | — | 700 | 659 | 163 | 33 | 4 | 4 | 31 | 129 | 5 | 10 | 16 | 247 | 286 | 328 | 614 | 80 | 302 | 18 | 4 | 266 | 66 | — | — | — | — | — | — |
| 2015 | 21 | AA RAW | 3 teams | — | 700 | 644 | 176 | 37 | 3 | 7 | 46 | 107 | 5 | 10 | 16 | 273 | 327 | 373 | 699 | 99 | 318 | 15 | 7 | 313 | 66 | — | — | — | — | — | — |
| 2016 | 22 | AA MLE | 2 teams | — | 416 | 384 | 98 | 19 | 2 | 4 | 24 | 50 | 3 | 10 | 8 | 255 | 304 | 346 | 650 | 91 | 284 | 12 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2016 | 22 | AA RAW | 2 teams | — | 416 | 370 | 93 | 20 | 1 | 6 | 38 | 53 | 3 | 10 | 8 | 251 | 326 | 359 | 685 | 108 | 279 | 13 | 9 | 308 | 76 | — | — | — | — | — | — |
| 2017 | 23 | INTL MLE | Tiburones de La Guaira | — | 195 | 156 | 39 | 11 | 1 | 1 | 34 | 36 | 4 | 0 | 5 | 250 | 397 | 353 | 749 | 103 | 317 | 18 | 17 | — | — | — | — | — | — | — | — |
| 2017 | 23 | INTL RAW | Tiburones de La Guaira | — | 195 | 156 | 39 | 11 | 1 | 1 | 34 | 36 | 4 | 0 | 5 | 250 | 397 | 353 | 749 | 103 | 317 | 18 | 17 | 349 | 122 | — | — | — | — | — | — |
| 2019 | 25 | INTL MLE | 2 teams | — | 274 | 248 | 57 | 12 | 0 | 11 | 22 | 58 | 1 | 15 | 6 | 230 | 295 | 411 | 706 | 181 | 256 | 21 | 8 | 299 | 88 | — | — | — | — | — | — |
| 2019 | 25 | INTL RAW | 2 teams | — | 274 | 240 | 79 | 11 | 1 | 12 | 30 | 29 | 1 | 15 | 6 | 329 | 406 | 533 | 939 | 204 | 335 | 11 | 11 | 409 | 88 | — | — | — | — | — | — |
| 2020 | 26 | INTL MLE | Venezuela | — | 131 | 103 | 40 | 8 | 0 | 6 | 27 | 22 | 1 | 5 | 1 | 388 | 519 | 641 | 1.160 | 252 | 453 | 17 | 21 | — | — | — | — | — | — | — | — |
| 2020 | 26 | INTL RAW | Venezuela | — | 131 | 103 | 40 | 8 | 0 | 6 | 27 | 22 | 1 | 5 | 1 | 388 | 519 | 641 | 1.160 | 252 | 453 | 17 | 21 | 503 | 226 | — | — | — | — | — | — |
| 2021 | 27 | INTL MLE | Venezuela | — | 231 | 194 | 52 | 9 | 0 | 4 | 34 | 33 | 1 | 4 | 3 | 268 | 380 | 376 | 756 | 108 | 304 | 14 | 15 | — | — | — | — | — | — | — | — |
| 2021 | 27 | INTL RAW | Venezuela | — | 231 | 194 | 52 | 9 | 0 | 4 | 34 | 33 | 1 | 4 | 3 | 268 | 380 | 376 | 756 | 108 | 304 | 14 | 15 | 345 | 119 | — | — | — | — | — | — |
| 2022 | 28 | INTL MLE | Venezuela | — | 254 | 202 | 66 | 15 | 0 | 4 | 45 | 31 | 1 | 8 | 2 | 327 | 446 | 460 | 907 | 134 | 365 | 12 | 18 | — | — | — | — | — | — | — | — |
| 2022 | 28 | INTL RAW | Venezuela | — | 254 | 202 | 66 | 15 | 0 | 4 | 45 | 31 | 1 | 8 | 2 | 327 | 446 | 460 | 907 | 134 | 365 | 12 | 18 | 403 | 159 | — | — | — | — | — | — |
| 2023 | 29 | INTL MLE | Tiburones de La Guaira | — | 208 | 169 | 50 | 14 | 0 | 0 | 36 | 30 | 2 | 2 | 5 | 296 | 425 | 379 | 804 | 83 | 357 | 14 | 17 | — | — | — | — | — | — | — | — |
| 2023 | 29 | INTL RAW | Tiburones de La Guaira | — | 208 | 169 | 50 | 14 | 0 | 0 | 36 | 30 | 2 | 2 | 5 | 296 | 425 | 379 | 804 | 83 | 357 | 14 | 17 | 371 | 137 | — | — | — | — | — | — |
| 2024 | 30 | INTL MLE | Venezuela | — | 201 | 162 | 50 | 4 | 0 | 4 | 32 | 31 | 0 | 9 | 5 | 309 | 423 | 407 | 830 | 99 | 343 | 15 | 16 | — | — | — | — | — | — | — | — |
| 2024 | 30 | INTL RAW | Venezuela | — | 201 | 162 | 50 | 4 | 0 | 4 | 32 | 31 | 0 | 9 | 5 | 309 | 423 | 407 | 830 | 99 | 343 | 15 | 16 | 367 | 135 | — | — | — | — | — | — |
| 2025 | 31 | INTL MLE | Cardenales de Lara | — | 172 | 144 | 49 | 7 | 0 | 7 | 24 | 21 | 2 | 0 | 0 | 340 | 436 | 535 | 971 | 194 | 362 | 12 | 14 | — | — | — | — | — | — | — | — |
| 2025 | 31 | INTL RAW | Cardenales de Lara | — | 172 | 144 | 49 | 7 | 0 | 7 | 24 | 21 | 2 | 0 | 0 | 340 | 436 | 535 | 971 | 194 | 362 | 12 | 14 | 427 | 175 | — | — | — | — | — | — |
| 2026 | 32 | INTL MLE | Cardenales de Lara | — | 46 | 35 | 8 | 1 | 0 | 2 | 10 | 5 | 1 | 1 | 0 | 229 | 413 | 429 | 842 | 200 | 214 | 11 | 22 | — | — | — | — | — | — | — | — |
| 2026 | 32 | INTL RAW | Cardenales de Lara | — | 46 | 35 | 8 | 1 | 0 | 2 | 10 | 5 | 1 | 1 | 0 | 229 | 413 | 429 | 842 | 200 | 214 | 11 | 22 | 384 | 146 | — | — | — | — | — | — |
| 2011 | 17 | ROK MLE | GCL Tigers | — | 224 | 214 | 48 | 6 | 1 | 2 | 4 | 49 | 4 | 3 | 2 | 224 | 258 | 290 | 548 | 65 | 274 | 22 | 2 | 233 | 44 | — | — | — | — | — | — |
| 2012 | 18 | A MLE | West Michigan Whitecaps | — | 112 | 106 | 16 | 3 | 0 | 1 | 4 | 28 | 1 | 0 | 0 | 151 | 196 | 208 | 404 | 57 | 180 | 25 | 4 | 179 | 7 | — | — | — | — | — | — |
| 2013 | 19 | A MLE | Quad Cities River Bandits | — | 551 | 519 | 133 | 18 | 6 | 7 | 25 | 94 | 2 | 11 | 8 | 256 | 300 | 355 | 654 | 98 | 290 | 17 | 5 | 284 | 78 | — | — | — | — | — | — |
| 2014 | 20 | A+ MLE | 2 teams | — | 654 | 606 | 157 | 37 | 2 | 5 | 41 | 132 | 2 | 1 | 5 | 259 | 312 | 351 | 663 | 92 | 319 | 20 | 6 | 291 | 83 | — | — | — | — | — | — |
| 2015 | 21 | AA MLE | 3 teams | — | 700 | 658 | 163 | 33 | 4 | 4 | 31 | 129 | 5 | 10 | 16 | 248 | 286 | 328 | 615 | 81 | 298 | 18 | 4 | 266 | 66 | — | — | — | — | — | — |
| 2016 | 22 | AA MLE | 2 teams | — | 416 | 386 | 98 | 19 | 2 | 4 | 24 | 50 | 3 | 10 | 8 | 254 | 304 | 345 | 649 | 91 | 278 | 12 | 6 | 281 | 76 | — | — | — | — | — | — |
| 2019 | 25 | INTL MLE | 2 teams | — | 274 | 249 | 57 | 12 | 0 | 11 | 22 | 58 | 1 | 15 | 6 | 229 | 295 | 410 | 705 | 181 | 252 | 21 | 8 | 299 | 88 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 4369 | 3872 | 1026 | 197 | 16 | 62 | 393 | 749 | 30 | 79 | 66 | 265 | 337 | 372 | 709 | 107 | 312 | 17 | 9 | 184 | 11 | -464 | -11 | +0 | -47 | +95 | -43.6 | |
| / 162G | — | MLE | — | 650 | 576 | 152 | 29 | 2 | 9 | 58 | 111 | 4 | 12 | 10 | 264 | 334 | 368 | 702 | 104 | 310 | 17 | 9 | 184 | 11 | -69 | -2 | +0 | -7 | +14 | -6.5 | |
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.
2019 AAARieleros de Aguascalientes · 121 PAwOBA .377 → .299 (−78)K% 16.5% → 21.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.53% | ÷0.936 | ×1.200 | — | — | 21.19% |
| BB% (unintentional) /PA | 11.57% | ÷1.051 | ×0.690 | — | ×1.033 | 7.85% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 19.05% | ÷1.050 | ×0.930 | — | ×1.033 | 17.42% |
| Doubles /BIP | 7.14% | ÷0.954 | ×0.830 | — | ×1.033 | 6.42% |
| Triples /BIP | 0.00% | ÷1.065 | ×0.920 | — | ×1.033 | 0.00% |
| Home runs /BIP | 8.33% | ÷1.115 | ×0.700 | — | ×1.033 | 5.41% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 110, 2B 91, 3B 113, K 87, BB 110 — 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 .377 → .299; ISO .260 → .187; BABIP .286 → .252. 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 AACorpus Christi Hooks · 233 PAwOBA .302 → .281 (−22)K% 10.3% → 11.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.30% | ÷1.055 | ×1.220 | — | — | 11.91% |
| BB% (unintentional) /PA | 7.30% | ÷0.932 | ×0.700 | — | ×1.042 | 5.71% |
| HBP% /PA | 0.43% | — | ×0.870 | — | ×1.042 | 0.39% |
| Singles /BIP | 21.39% | ÷0.967 | ×0.920 | ×1.013 | ×1.042 | 21.49% |
| Doubles /BIP | 6.42% | ÷1.017 | ×0.840 | ×1.013 | ×1.042 | 5.60% |
| Triples /BIP | 0.53% | ÷0.977 | ×0.940 | ×1.013 | ×1.042 | 0.54% |
| Home runs /BIP | 1.60% | ÷1.196 | ×0.800 | — | ×1.042 | 1.12% |
Factors used: league row TL. Park (home-season share, regressed): HR 139, 1B 93, 2B 103, 3B 95, K 111, BB 86 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .302 → .281; ISO .109 → .091; BABIP .286 → .278. 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 AACorpus Christi Hooks · 296 PAwOBA .265 → .237 (−28)K% 14.2% → 18.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.19% | ÷0.964 | ×1.220 | — | — | 17.96% |
| BB% (unintentional) /PA | 5.41% | ÷1.003 | ×0.700 | — | ×1.050 | 3.96% |
| HBP% /PA | 1.01% | — | ×0.870 | — | ×1.050 | 0.93% |
| Singles /BIP | 22.98% | ÷1.022 | ×0.920 | ×1.006 | ×1.050 | 21.84% |
| Doubles /BIP | 5.53% | ÷0.963 | ×0.840 | ×1.006 | ×1.050 | 5.10% |
| Triples /BIP | 0.43% | ÷0.900 | ×0.940 | ×1.006 | ×1.050 | 0.47% |
| Home runs /BIP | 0.00% | ÷1.059 | ×0.800 | — | ×1.050 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 112, 1B 104, 2B 93, 3B 80, K 93, BB 101 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.
Result: wOBA .265 → .237; ISO .054 → .050; BABIP .289 → .274. 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+Lancaster JetHawks · 182 PAwOBA .358 → .312 (−45)K% 13.2% → 19.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.19% | ÷0.924 | ×1.340 | — | — | 19.13% |
| BB% (unintentional) /PA | 7.14% | ÷1.031 | ×0.710 | — | ×1.027 | 5.05% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×1.027 | 0.00% |
| Singles /BIP | 24.31% | ÷0.985 | ×0.910 | ×1.042 | ×1.027 | 24.03% |
| Doubles /BIP | 9.03% | ÷1.005 | ×0.820 | ×1.042 | ×1.027 | 7.88% |
| Triples /BIP | 1.39% | ÷1.150 | ×0.760 | ×1.042 | ×1.027 | 0.98% |
| Home runs /BIP | 2.08% | ÷0.964 | ×0.920 | — | ×1.027 | 2.04% |
Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, BB 106 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.042.
Result: wOBA .358 → .312; ISO .155 → .131; BABIP .355 → .336. 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+Lancaster JetHawks · 475 PAwOBA .327 → .291 (−37)K% 14.3% → 20.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.32% | ÷0.948 | ×1.340 | — | — | 20.25% |
| BB% (unintentional) /PA | 8.21% | ÷0.987 | ×0.710 | — | ×1.042 | 6.16% |
| HBP% /PA | 0.42% | — | ×0.790 | — | ×1.042 | 0.35% |
| Singles /BIP | 24.23% | ÷0.999 | ×0.910 | ×1.026 | ×1.042 | 23.58% |
| Doubles /BIP | 8.45% | ÷0.963 | ×0.820 | ×1.026 | ×1.042 | 7.69% |
| Triples /BIP | 0.56% | ÷0.915 | ×0.760 | ×1.026 | ×1.042 | 0.50% |
| Home runs /BIP | 1.41% | ÷1.234 | ×0.920 | — | ×1.042 | 1.09% |
Factors used: league row CAL. Park (home-season share, regressed): HR 147, 1B 100, 2B 93, 3B 83, K 90, BB 97 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.
Result: wOBA .327 → .291; ISO .116 → .098; BABIP .335 → .319. 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).
2013 AQuad Cities River Bandits · 551 PAwOBA .313 → .284 (−28)K% 12.9% → 17.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.89% | ÷1.032 | ×1.360 | — | — | 16.99% |
| BB% (unintentional) /PA | 6.17% | ÷0.993 | ×0.690 | — | ×1.045 | 4.48% |
| HBP% /PA | 0.36% | — | ×0.780 | — | ×1.045 | 0.30% |
| Singles /BIP | 25.36% | ÷1.047 | ×0.920 | ×1.017 | ×1.045 | 23.68% |
| Doubles /BIP | 4.27% | ÷0.920 | ×0.830 | ×1.017 | ×1.045 | 4.09% |
| Triples /BIP | 1.42% | ÷1.070 | ×0.910 | ×1.017 | ×1.045 | 1.29% |
| Home runs /BIP | 2.13% | ÷1.034 | ×0.800 | — | ×1.045 | 1.72% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 109, 2B 84, 3B 114, K 106, BB 99 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.
Result: wOBA .313 → .284; ISO .116 → .103; BABIP .311 → .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).
2012 AWest Michigan Whitecaps · 112 PAwOBA .196 → .179 (−17)K% 17.9% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.86% | ÷0.978 | ×1.360 | — | — | 24.84% |
| BB% (unintentional) /PA | 5.36% | ÷1.034 | ×0.690 | — | ×1.050 | 3.75% |
| HBP% /PA | 0.89% | — | ×0.780 | — | ×1.050 | 0.73% |
| Singles /BIP | 15.19% | ÷1.020 | ×0.920 | ×1.044 | ×1.050 | 15.02% |
| Doubles /BIP | 3.80% | ÷0.990 | ×0.830 | ×1.044 | ×1.050 | 3.49% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | ×1.044 | ×1.050 | 0.00% |
| Home runs /BIP | 1.27% | ÷0.865 | ×0.800 | — | ×1.050 | 1.23% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 73, 1B 104, 2B 98, 3B 80, K 96, BB 107 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.
Result: wOBA .196 → .179; ISO .061 → .057; BABIP .185 → .180. 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).
2011 ROKGCL Tigers · 224 PAwOBA .283 → .233 (−50)K% 15.2% → 21.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.18% | ÷1.000 | ×1.440 | — | — | 21.86% |
| BB% (unintentional) /PA | 3.12% | ÷1.000 | ×0.620 | — | ×1.038 | 2.01% |
| HBP% /PA | 1.79% | — | ×0.720 | — | ×1.038 | 1.33% |
| Singles /BIP | 26.16% | ÷1.000 | ×0.820 | ×1.050 | ×1.038 | 23.37% |
| Doubles /BIP | 4.65% | ÷1.000 | ×0.720 | ×1.050 | ×1.038 | 3.65% |
| Triples /BIP | 0.58% | ÷1.000 | ×0.720 | ×1.050 | ×1.038 | 0.46% |
| Home runs /BIP | 1.16% | ÷1.000 | ×0.780 | — | ×1.038 | 0.94% |
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 17 vs a level average of 19.5 → +3.8% on BB/HBP/hit rates (2.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .283 → .233; ISO .078 → .060; BABIP .314 → .274. 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 — .