Roberto Ramos
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2023 | 28 | INTLNaranjeros de… | 64 | .135/.297/.231 | 1 | 0 | 63 | — |
| 2024 | 29 | INTLAlgodoneros d… | 210 | .213/.311/.366 | 7 | 1 | 93 | — |
| 2025 | 30 | INTLAlgodoneros d… | 58 | .149/.298/.234 | 1 | 0 | 60 | — |
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 | Grand Junction Rockies | — | 82 | 72 | 15 | 3 | 0 | 1 | 6 | 23 | 3 | 1 | 1 | 208 | 296 | 292 | 588 | 83 | 286 | 28 | 7 | 272 | 13 | — | — | — | — | — | — |
| 2015 | 20 | A | Asheville Tourists | — | 190 | 164 | 56 | 14 | 0 | 10 | 18 | 39 | 4 | 4 | 0 | 341 | 419 | 610 | 1.029 | 268 | 390 | 21 | 9 | 438 | 109 | — | — | — | — | — | — |
| 2015 | 20 | ROK | Grand Junction Rockies | — | 44 | 38 | 11 | 3 | 0 | 3 | 4 | 12 | 2 | 0 | 0 | 289 | 386 | 605 | 992 | 316 | 348 | 27 | 9 | 429 | 72 | — | — | — | — | — | — |
| 2015 | 20 | INTL | Naranjeros de Hermosillo | — | 71 | 63 | 13 | 5 | 0 | 1 | 8 | 24 | 0 | 1 | 0 | 206 | 296 | 333 | 629 | 127 | 316 | 34 | 11 | 288 | 81 | — | — | — | — | — | — |
| 2016 | 21 | A+ | Modesto Nuts | — | 89 | 78 | 18 | 7 | 0 | 2 | 10 | 26 | 0 | 0 | 0 | 231 | 318 | 397 | 716 | 167 | 314 | 29 | 11 | 318 | 58 | — | — | — | — | — | — |
| 2016 | 21 | ROK | Grand Junction Rockies | — | 59 | 57 | 23 | 5 | 1 | 5 | 2 | 13 | 0 | 3 | 1 | 404 | 424 | 789 | 1.213 | 386 | 462 | 22 | 3 | 520 | 112 | — | — | — | — | — | — |
| 2016 | 21 | INTL | Naranjeros de Hermosillo | — | 51 | 50 | 8 | 0 | 0 | 3 | 1 | 22 | 0 | 0 | 0 | 160 | 176 | 340 | 516 | 180 | 200 | 43 | 2 | 225 | 38 | — | — | — | — | — | — |
| 2017 | 22 | A+ | Lancaster JetHawks | — | 524 | 478 | 142 | 29 | 1 | 13 | 41 | 124 | 1 | 3 | 2 | 297 | 354 | 444 | 797 | 146 | 374 | 24 | 8 | 353 | 51 | — | — | — | — | — | — |
| 2017 | 22 | INTL | Naranjeros de Hermosillo | — | 98 | 84 | 16 | 4 | 0 | 3 | 12 | 31 | 0 | 0 | 0 | 190 | 292 | 345 | 637 | 155 | 250 | 32 | 12 | 285 | 79 | — | — | — | — | — | — |
| 2018 | 23 | AA | Hartford Yard Goats | — | 228 | 199 | 46 | 9 | 0 | 15 | 26 | 75 | 1 | 2 | 1 | 231 | 323 | 503 | 826 | 271 | 279 | 33 | 11 | 358 | 62 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Lancaster JetHawks | — | 255 | 214 | 65 | 15 | 3 | 17 | 32 | 65 | 7 | 3 | 1 | 304 | 411 | 640 | 1.051 | 336 | 364 | 25 | 13 | 447 | 85 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Naranjeros de Hermosillo | — | 58 | 46 | 15 | 6 | 0 | 2 | 10 | 18 | 1 | 0 | 0 | 326 | 456 | 587 | 1.043 | 261 | 481 | 31 | 17 | 447 | 188 | — | — | — | — | — | — |
| 2019 | 24 | AAA | Albuquerque Isotopes | — | 503 | 431 | 133 | 27 | 0 | 30 | 61 | 141 | 7 | 0 | 1 | 309 | 403 | 580 | 983 | 271 | 390 | 28 | 12 | 425 | 92 | — | — | — | — | — | — |
| 2019 | 24 | INTL | Naranjeros de Hermosillo | — | 228 | 189 | 41 | 7 | 0 | 7 | 36 | 68 | 1 | 0 | 1 | 217 | 345 | 365 | 710 | 148 | 293 | 30 | 16 | 324 | 105 | — | — | — | — | — | — |
| 2021 | 26 | INTL | Naranjeros de Hermosillo | — | 18 | 17 | 3 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 176 | 222 | 176 | 399 | 375 | 50 | 6 | 190 | 14 | — | — | — | — | — | — | |
| 2022 | 27 | AAA | Worcester Red Sox | — | 143 | 120 | 19 | 7 | 0 | 5 | 21 | 54 | 1 | 0 | 0 | 158 | 289 | 342 | 630 | 183 | 226 | 38 | 15 | 288 | 24 | — | — | — | — | — | — |
| 2022 | 27 | INTL | Naranjeros de Hermosillo | — | 161 | 141 | 25 | 1 | 0 | 7 | 18 | 54 | 0 | 1 | 1 | 177 | 270 | 333 | 604 | 156 | 220 | 34 | 11 | 272 | 70 | — | — | — | — | — | — |
| 2023 | 28 | INTL | Naranjeros de Hermosillo | — | 64 | 52 | 7 | 2 | 0 | 1 | 11 | 23 | 1 | 0 | 0 | 135 | 297 | 231 | 528 | 96 | 214 | 36 | 17 | 261 | 63 | — | — | — | — | — | — |
| 2024 | 29 | INTL | Algodoneros de Guasave | — | 210 | 183 | 39 | 7 | 0 | 7 | 26 | 48 | 0 | 1 | 0 | 213 | 311 | 366 | 677 | 153 | 248 | 23 | 12 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 30 | INTL | Algodoneros de Guasave | — | 58 | 47 | 7 | 1 | 0 | 1 | 9 | 12 | 1 | 0 | 0 | 149 | 298 | 234 | 532 | 85 | 176 | 21 | 16 | 257 | 60 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 19 | ROK MLE | Grand Junction Rockies | — | 82 | 74 | 11 | 2 | 0 | 1 | 4 | 33 | 3 | 1 | 1 | 149 | 222 | 216 | 438 | 68 | 236 | 40 | 5 | 187 | 13 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Asheville Tourists | — | 190 | 170 | 45 | 9 | 0 | 7 | 12 | 51 | 4 | 4 | 0 | 265 | 328 | 441 | 769 | 176 | 320 | 27 | 6 | 329 | 109 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | Grand Junction Rockies | — | 44 | 40 | 8 | 2 | 0 | 2 | 2 | 17 | 2 | 0 | 0 | 200 | 273 | 400 | 673 | 200 | 259 | 39 | 5 | 274 | 72 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | Modesto Nuts | — | 89 | 82 | 16 | 6 | 0 | 2 | 6 | 36 | 0 | 0 | 0 | 195 | 250 | 341 | 591 | 146 | 295 | 40 | 7 | 254 | 58 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Grand Junction Rockies | — | 59 | 58 | 16 | 3 | 1 | 3 | 1 | 19 | 0 | 3 | 1 | 276 | 288 | 517 | 805 | 241 | 342 | 32 | 2 | 334 | 112 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Lancaster JetHawks | — | 524 | 491 | 105 | 20 | 1 | 7 | 28 | 185 | 1 | 3 | 2 | 214 | 258 | 301 | 559 | 88 | 318 | 35 | 5 | 244 | 51 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | Hartford Yard Goats | — | 228 | 207 | 37 | 7 | 0 | 10 | 18 | 88 | 1 | 2 | 1 | 179 | 248 | 357 | 605 | 179 | 241 | 39 | 8 | 260 | 62 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Lancaster JetHawks | — | 255 | 228 | 47 | 11 | 2 | 9 | 18 | 93 | 7 | 3 | 1 | 206 | 285 | 390 | 675 | 184 | 292 | 36 | 7 | 294 | 85 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | Albuquerque Isotopes | — | 503 | 447 | 99 | 18 | 0 | 19 | 45 | 190 | 7 | 0 | 1 | 221 | 303 | 389 | 692 | 168 | 326 | 38 | 9 | 304 | 92 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Worcester Red Sox | — | 143 | 126 | 15 | 5 | 0 | 4 | 15 | 64 | 1 | 0 | 0 | 119 | 218 | 254 | 472 | 135 | 175 | 45 | 10 | 204 | 24 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | Grand Junction Rockies | — | 82 | 74 | 11 | 2 | 0 | 1 | 4 | 33 | 3 | 1 | 1 | 149 | 222 | 216 | 438 | 68 | 244 | 40 | 5 | 187 | 13 | — | — | — | — | — | — |
| 2014 | 19 | ROK RAW | Grand Junction Rockies | — | 82 | 72 | 15 | 3 | 0 | 1 | 6 | 23 | 3 | 1 | 1 | 208 | 296 | 292 | 588 | 83 | 286 | 28 | 7 | 272 | 13 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | 3 teams | — | 305 | 277 | 69 | 14 | 0 | 12 | 18 | 89 | 6 | 5 | 0 | 249 | 309 | 430 | 739 | 181 | 318 | 29 | 6 | 319 | 102 | — | — | — | — | — | — |
| 2015 | 20 | A RAW | 3 teams | — | 305 | 265 | 80 | 22 | 0 | 14 | 30 | 75 | 6 | 5 | 0 | 302 | 385 | 543 | 929 | 242 | 369 | 25 | 10 | 402 | 102 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | 3 teams | — | 199 | 188 | 42 | 12 | 1 | 7 | 10 | 74 | 0 | 3 | 1 | 223 | 263 | 410 | 672 | 186 | 324 | 37 | 5 | 286 | 80 | — | — | — | — | — | — |
| 2016 | 21 | A+ RAW | 3 teams | — | 199 | 185 | 49 | 12 | 1 | 10 | 13 | 61 | 0 | 3 | 1 | 265 | 313 | 503 | 816 | 238 | 339 | 31 | 7 | 354 | 80 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | 2 teams | — | 622 | 582 | 124 | 23 | 1 | 8 | 33 | 220 | 1 | 3 | 2 | 213 | 256 | 297 | 554 | 84 | 322 | 35 | 5 | 244 | 51 | — | — | — | — | — | — |
| 2017 | 22 | A+ RAW | 2 teams | — | 622 | 562 | 158 | 33 | 1 | 16 | 53 | 155 | 1 | 3 | 2 | 281 | 344 | 429 | 773 | 148 | 358 | 25 | 9 | 342 | 51 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 541 | 487 | 94 | 20 | 2 | 21 | 40 | 203 | 9 | 5 | 2 | 193 | 267 | 372 | 638 | 179 | 274 | 38 | 7 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 23 | A+ RAW | 3 teams | — | 541 | 459 | 126 | 30 | 3 | 34 | 68 | 158 | 9 | 5 | 2 | 275 | 379 | 575 | 954 | 301 | 341 | 29 | 13 | 410 | 74 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 731 | 651 | 144 | 26 | 0 | 28 | 66 | 276 | 8 | 0 | 2 | 221 | 301 | 390 | 691 | 169 | 329 | 38 | 9 | 304 | 92 | — | — | — | — | — | — |
| 2019 | 24 | AAA RAW | 2 teams | — | 731 | 620 | 174 | 34 | 0 | 37 | 97 | 209 | 8 | 0 | 2 | 281 | 385 | 515 | 899 | 234 | 361 | 29 | 13 | 393 | 92 | — | — | — | — | — | — |
| 2021 | 26 | INTL MLE | Naranjeros de Hermosillo | — | 18 | 17 | 3 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 176 | 222 | 176 | 399 | 375 | 50 | 6 | — | — | — | — | — | — | — | — | |
| 2021 | 26 | INTL RAW | Naranjeros de Hermosillo | — | 18 | 17 | 3 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 176 | 222 | 176 | 399 | 375 | 50 | 6 | 190 | 14 | — | — | — | — | — | — | |
| 2022 | 27 | INTL MLE | 2 teams | — | 304 | 269 | 31 | 10 | 0 | 8 | 31 | 136 | 1 | 1 | 1 | 115 | 209 | 242 | 451 | 126 | 180 | 45 | 10 | 204 | 24 | — | — | — | — | — | — |
| 2022 | 27 | INTL RAW | 2 teams | — | 304 | 261 | 44 | 8 | 0 | 12 | 39 | 108 | 1 | 1 | 1 | 169 | 279 | 337 | 616 | 169 | 222 | 36 | 13 | 279 | 24 | — | — | — | — | — | — |
| 2023 | 28 | INTL MLE | Naranjeros de Hermosillo | — | 64 | 52 | 7 | 2 | 0 | 1 | 11 | 23 | 1 | 0 | 0 | 135 | 297 | 231 | 528 | 96 | 214 | 36 | 17 | — | — | — | — | — | — | — | — |
| 2023 | 28 | INTL RAW | Naranjeros de Hermosillo | — | 64 | 52 | 7 | 2 | 0 | 1 | 11 | 23 | 1 | 0 | 0 | 135 | 297 | 231 | 528 | 96 | 214 | 36 | 17 | 261 | 63 | — | — | — | — | — | — |
| 2024 | 29 | INTL MLE | Algodoneros de Guasave | — | 210 | 183 | 39 | 7 | 0 | 7 | 26 | 48 | 0 | 1 | 0 | 213 | 311 | 366 | 677 | 153 | 248 | 23 | 12 | — | — | — | — | — | — | — | — |
| 2024 | 29 | INTL RAW | Algodoneros de Guasave | — | 210 | 183 | 39 | 7 | 0 | 7 | 26 | 48 | 0 | 1 | 0 | 213 | 311 | 366 | 677 | 153 | 248 | 23 | 12 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 30 | INTL MLE | Algodoneros de Guasave | — | 58 | 47 | 7 | 1 | 0 | 1 | 9 | 12 | 1 | 0 | 0 | 149 | 298 | 234 | 532 | 85 | 176 | 21 | 16 | — | — | — | — | — | — | — | — |
| 2025 | 30 | INTL RAW | Algodoneros de Guasave | — | 58 | 47 | 7 | 1 | 0 | 1 | 9 | 12 | 1 | 0 | 0 | 149 | 298 | 234 | 532 | 85 | 176 | 21 | 16 | 257 | 60 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | Grand Junction Rockies | — | 82 | 75 | 11 | 2 | 0 | 1 | 4 | 33 | 3 | 1 | 1 | 147 | 222 | 213 | 436 | 67 | 236 | 40 | 5 | 187 | 13 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | 3 teams | — | 305 | 278 | 69 | 14 | 0 | 12 | 18 | 89 | 6 | 5 | 0 | 248 | 309 | 428 | 737 | 180 | 309 | 29 | 6 | 319 | 102 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | 3 teams | — | 199 | 187 | 42 | 12 | 1 | 7 | 10 | 74 | 0 | 3 | 1 | 225 | 263 | 412 | 674 | 187 | 314 | 37 | 5 | 286 | 80 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | 2 teams | — | 622 | 583 | 124 | 23 | 1 | 8 | 33 | 220 | 1 | 3 | 2 | 213 | 256 | 297 | 553 | 84 | 318 | 35 | 5 | 244 | 51 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 541 | 487 | 94 | 20 | 2 | 21 | 40 | 203 | 9 | 5 | 2 | 193 | 267 | 372 | 638 | 179 | 268 | 38 | 7 | 278 | 74 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 731 | 651 | 144 | 26 | 0 | 28 | 66 | 276 | 8 | 0 | 2 | 221 | 301 | 390 | 691 | 169 | 326 | 38 | 9 | 304 | 92 | — | — | — | — | — | — |
| 2022 | 27 | INTL MLE | 2 teams | — | 304 | 269 | 31 | 10 | 0 | 8 | 31 | 136 | 1 | 1 | 1 | 115 | 209 | 242 | 451 | 126 | 175 | 45 | 10 | 204 | 24 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 3134 | 2827 | 571 | 117 | 4 | 94 | 249 | 1123 | 30 | 19 | 9 | 202 | 274 | 346 | 620 | 144 | 292 | 36 | 8 | 241 | 49 | -189 | +0 | +0 | -56 | +68 | -18.0 | |
| / 162G | — | MLE | — | 650 | 586 | 118 | 24 | 1 | 19 | 52 | 233 | 6 | 4 | 2 | 201 | 273 | 343 | 616 | 142 | 292 | 36 | 8 | 241 | 49 | -39 | +0 | +0 | -12 | +14 | -3.7 | |
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.
2022 AAAWorcester Red Sox · 143 PAwOBA .282 → .204 (−79)K% 37.8% → 44.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 37.76% | ÷1.013 | ×1.200 | — | — | 44.74% |
| BB% (unintentional) /PA | 14.69% | ÷0.987 | ×0.690 | — | ×0.992 | 10.18% |
| HBP% /PA | 0.70% | — | ×0.940 | — | ×0.992 | 0.65% |
| Singles /BIP | 10.61% | ÷1.010 | ×0.930 | ×0.981 | ×0.992 | 9.50% |
| Doubles /BIP | 10.61% | ÷1.179 | ×0.830 | ×0.981 | ×0.992 | 7.27% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | ×0.981 | ×0.992 | 0.00% |
| Home runs /BIP | 7.58% | ÷0.939 | ×0.700 | — | ×0.992 | 5.60% |
Factors used: league row International League. Park (home-season share, regressed): HR 88, 1B 102, 2B 136, 3B 100, K 103, 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 ×0.981.
Result: wOBA .282 → .204; ISO .183 → .127; BABIP .226 → .175. 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 AAAAlbuquerque Isotopes · 503 PAwOBA .416 → .304 (−112)K% 28.0% → 37.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.03% | ÷0.957 | ×1.290 | — | — | 37.80% |
| BB% (unintentional) /PA | 11.93% | ÷0.974 | ×0.710 | — | ×1.033 | 8.98% |
| HBP% /PA | 1.39% | — | ×0.980 | — | ×1.033 | 1.41% |
| Singles /BIP | 26.21% | ÷0.974 | ×0.900 | ×0.950 | ×1.033 | 23.77% |
| Doubles /BIP | 9.31% | ÷1.071 | ×0.810 | ×0.950 | ×1.033 | 6.91% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | ×0.950 | ×1.033 | 0.00% |
| Home runs /BIP | 10.34% | ÷1.136 | ×0.780 | — | ×1.033 | 7.33% |
Factors used: league row PCL. Park (home-season share, regressed): HR 127, 1B 95, 2B 114, 3B 130, K 91, BB 95 — 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 ×0.950.
Result: wOBA .416 → .304; ISO .271 → .175; BABIP .390 → .326. 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+Lancaster JetHawks · 255 PAwOBA .431 → .294 (−137)K% 25.5% → 36.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.49% | ÷0.938 | ×1.340 | — | — | 36.40% |
| BB% (unintentional) /PA | 10.98% | ÷1.073 | ×0.710 | — | ×0.988 | 7.18% |
| HBP% /PA | 2.75% | — | ×0.790 | — | ×0.988 | 2.14% |
| Singles /BIP | 20.13% | ÷1.007 | ×0.910 | ×0.999 | ×0.988 | 17.95% |
| Doubles /BIP | 10.07% | ÷1.025 | ×0.820 | ×0.999 | ×0.988 | 7.95% |
| Triples /BIP | 2.01% | ÷1.130 | ×0.760 | ×0.999 | ×0.988 | 1.34% |
| Home runs /BIP | 11.41% | ÷1.531 | ×0.920 | — | ×0.988 | 6.78% |
Factors used: league row CAL. Park (home-season share, regressed): HR 206, 1B 101, 2B 105, 3B 126, K 88, BB 115 — 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 ×0.999.
Result: wOBA .431 → .294; ISO .336 → .200; BABIP .364 → .292. 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 AAHartford Yard Goats · 228 PAwOBA .351 → .260 (−91)K% 32.9% → 38.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.89% | ÷1.035 | ×1.220 | — | — | 38.78% |
| BB% (unintentional) /PA | 11.40% | ÷1.051 | ×0.700 | — | ×1.012 | 7.68% |
| HBP% /PA | 0.44% | — | ×0.850 | — | ×1.012 | 0.38% |
| Singles /BIP | 17.74% | ÷1.011 | ×0.970 | ×0.980 | ×1.012 | 16.88% |
| Doubles /BIP | 7.26% | ÷1.081 | ×0.860 | ×0.980 | ×1.012 | 5.72% |
| Triples /BIP | 0.00% | ÷0.948 | ×0.950 | ×0.980 | ×1.012 | 0.00% |
| Home runs /BIP | 12.10% | ÷1.194 | ×0.780 | — | ×1.012 | 8.00% |
Factors used: league row EL. Park (home-season share, regressed): HR 139, 1B 102, 2B 116, 3B 90, K 107, BB 110 — 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 ×0.980.
Result: wOBA .351 → .260; ISO .271 → .181; BABIP .279 → .241. 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+Lancaster JetHawks · 524 PAwOBA .345 → .244 (−102)K% 23.7% → 35.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.66% | ÷0.897 | ×1.340 | — | — | 35.35% |
| BB% (unintentional) /PA | 7.63% | ÷1.017 | ×0.710 | — | ×0.998 | 5.32% |
| HBP% /PA | 0.19% | — | ×0.790 | — | ×0.998 | 0.15% |
| Singles /BIP | 27.97% | ÷1.004 | ×0.910 | ×0.986 | ×0.998 | 24.95% |
| Doubles /BIP | 8.19% | ÷1.039 | ×0.820 | ×0.986 | ×0.998 | 6.37% |
| Triples /BIP | 0.28% | ÷1.136 | ×0.760 | ×0.986 | ×0.998 | 0.19% |
| Home runs /BIP | 3.67% | ÷1.600 | ×0.920 | — | ×0.998 | 2.11% |
Factors used: league row CAL. Park (home-season share, regressed): HR 220, 1B 101, 2B 108, 3B 127, K 79, 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 ×0.986.
Result: wOBA .345 → .244; ISO .146 → .085; BABIP .374 → .318. 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+Modesto Nuts · 89 PAwOBA .309 → .254 (−55)K% 29.2% → 40.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.21% | ÷0.960 | ×1.340 | — | — | 40.77% |
| BB% (unintentional) /PA | 10.11% | ÷1.006 | ×0.710 | — | ×1.012 | 7.23% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×1.012 | 0.00% |
| Singles /BIP | 17.31% | ÷0.990 | ×0.910 | ×1.030 | ×1.012 | 16.58% |
| Doubles /BIP | 13.46% | ÷0.933 | ×0.820 | ×1.030 | ×1.012 | 12.34% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.760 | ×1.030 | ×1.012 | 0.00% |
| Home runs /BIP | 3.85% | ÷0.877 | ×0.920 | — | ×1.012 | 4.09% |
Factors used: league row CAL. Park (home-season share, regressed): HR 75, 1B 98, 2B 87, 3B 130, K 92, 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 ×1.030.
Result: wOBA .309 → .254; ISO .167 → .146; BABIP .314 → .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).
2016 ROKGrand Junction Rockies · 59 PAwOBA .504 → .334 (−171)K% 22.0% → 31.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.03% | ÷1.000 | ×1.440 | — | — | 31.73% |
| BB% (unintentional) /PA | 3.39% | ÷1.000 | ×0.610 | — | ×0.975 | 2.02% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.975 | 0.00% |
| Singles /BIP | 27.27% | ÷1.000 | ×0.820 | — | ×0.975 | 21.80% |
| Doubles /BIP | 11.36% | ÷1.000 | ×0.720 | — | ×0.975 | 7.98% |
| Triples /BIP | 2.27% | ÷1.000 | ×0.720 | — | ×0.975 | 1.60% |
| Home runs /BIP | 11.36% | ÷1.000 | ×0.750 | — | ×0.975 | 8.31% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average).
Result: wOBA .504 → .334; ISO .386 → .248; BABIP .462 → .342. 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 AAsheville Tourists · 190 PAwOBA .433 → .329 (−103)K% 20.5% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.53% | ÷1.025 | ×1.340 | — | — | 26.84% |
| BB% (unintentional) /PA | 9.47% | ÷1.033 | ×0.660 | — | ×1.015 | 6.14% |
| HBP% /PA | 2.11% | — | ×0.770 | — | ×1.015 | 1.65% |
| Singles /BIP | 25.60% | ÷0.991 | ×0.920 | ×0.983 | ×1.015 | 23.73% |
| Doubles /BIP | 11.20% | ÷1.267 | ×0.820 | ×0.983 | ×1.015 | 7.24% |
| Triples /BIP | 0.00% | ÷0.936 | ×0.940 | ×0.983 | ×1.015 | 0.00% |
| Home runs /BIP | 8.00% | ÷1.172 | ×0.820 | — | ×1.015 | 5.68% |
Factors used: league row SAL. Park (home-season share, regressed): HR 134, 1B 98, 2B 153, 3B 87, K 105, BB 107 — 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 ×0.983.
Result: wOBA .433 → .329; ISO .268 → .184; BABIP .390 → .320. 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 — .