Dawel Lugo
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2022 | 27 | INTLTigres del Li… | 105 | .242/.272/.313 | 0 | 0 | 61 | — |
| 2023 | 28 | INTLDominican Rep… | 146 | .281/.310/.345 | 1 | 0 | 85 | — |
| 2024 | 29 | INTLTigres del Li… | 104 | .280/.294/.360 | 1 | 0 | 80 | — |
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) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK | GCL Blue Jays | — | 183 | 170 | 38 | 2 | 5 | 2 | 7 | 25 | 5 | 5 | 1 | 224 | 275 | 329 | 604 | 106 | 252 | 14 | 4 | 271 | 26 | — | — | — | — | — | — |
| 2013 | 18 | ROK | Bluefield Blue Jays | — | 202 | 192 | 57 | 11 | 2 | 6 | 5 | 28 | 2 | 1 | 0 | 297 | 322 | 469 | 790 | 172 | 317 | 14 | 2 | 343 | 64 | — | — | — | — | — | — |
| 2014 | 19 | A | Lansing Lugnuts | — | 498 | 474 | 123 | 17 | 2 | 4 | 18 | 72 | 1 | 3 | 3 | 259 | 288 | 329 | 617 | 70 | 296 | 14 | 4 | 275 | 54 | — | — | — | — | — | — |
| 2015 | 20 | A+ | Dunedin Blue Jays | — | 276 | 260 | 57 | 9 | 2 | 2 | 9 | 49 | 5 | 1 | 3 | 219 | 259 | 292 | 551 | 73 | 262 | 18 | 3 | 249 | 25 | — | — | — | — | — | — |
| 2015 | 20 | A | Kane County Cougars | — | 218 | 203 | 68 | 7 | 2 | 2 | 9 | 37 | 1 | 5 | 3 | 335 | 366 | 419 | 785 | 84 | 391 | 17 | 4 | 344 | 76 | — | — | — | — | — | — |
| 2016 | 21 | AA | Mobile BayBears | — | 177 | 173 | 53 | 9 | 2 | 4 | 4 | 15 | 0 | 1 | 1 | 306 | 322 | 451 | 773 | 145 | 318 | 8 | 2 | 341 | 78 | — | — | — | — | — | — |
| 2016 | 21 | A+ | Visalia Rawhide | — | 333 | 315 | 99 | 14 | 5 | 13 | 15 | 41 | 2 | 2 | 1 | 314 | 349 | 514 | 864 | 200 | 328 | 12 | 5 | 377 | 97 | — | — | — | — | — | — |
| 2016 | 21 | INTL | Salt River Rafters | — | 94 | 90 | 24 | 6 | 0 | 1 | 1 | 10 | 0 | 1 | 0 | 267 | 275 | 367 | 641 | 100 | 280 | 11 | 1 | 275 | 72 | — | — | — | — | — | — |
| 2017 | 22 | AA | Erie SeaWolves | — | 557 | 516 | 143 | 27 | 5 | 13 | 33 | 72 | 3 | 3 | 1 | 277 | 324 | 424 | 749 | 147 | 298 | 13 | 6 | 330 | 80 | — | — | — | — | — | — |
| 2017 | 22 | INTL | Tigres del Licey | — | 78 | 74 | 24 | 4 | 0 | 0 | 4 | 7 | 0 | 0 | 0 | 324 | 359 | 378 | 737 | 54 | 358 | 9 | 5 | 334 | 112 | — | — | — | — | — | — |
| 2018 | 23 | MLB | Detroit Tigers | — | 101 | 94 | 20 | 4 | 1 | 1 | 7 | 20 | 0 | 0 | 0 | 213 | 267 | 309 | 576 | 96 | 260 | 20 | 7 | 261 | 66 | -4 | +0 | -3 | +2 | +2 | -0.2 |
| 2018 | 23 | AAA | Toledo Mud Hens | — | 523 | 509 | 137 | 26 | 3 | 3 | 9 | 66 | 2 | 12 | 4 | 269 | 285 | 350 | 634 | 81 | 302 | 13 | 2 | 282 | 62 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Tigres del Licey | — | 48 | 47 | 11 | 1 | 1 | 0 | 0 | 13 | 0 | 0 | 0 | 234 | 234 | 298 | 532 | 64 | 324 | 27 | 0 | 230 | 42 | — | — | — | — | — | — |
| 2019 | 24 | MLB | Detroit Tigers | — | 288 | 273 | 67 | 11 | 4 | 6 | 8 | 59 | 3 | 0 | 0 | 245 | 275 | 381 | 656 | 136 | 288 | 20 | 3 | 286 | 82 | -6 | +0 | +1 | +2 | +6 | 0.3 |
| 2019 | 24 | AAA | Toledo Mud Hens | — | 303 | 282 | 94 | 21 | 4 | 5 | 15 | 52 | 3 | 6 | 3 | 333 | 373 | 489 | 863 | 156 | 390 | 17 | 5 | 378 | 105 | — | — | — | — | — | — |
| 2020 | 25 | INTL | Tigres del Licey | — | 91 | 83 | 22 | 4 | 0 | 1 | 4 | 10 | 4 | 0 | 0 | 265 | 330 | 349 | 679 | 84 | 292 | 11 | 4 | 311 | 97 | — | — | — | — | — | — |
| 2021 | 26 | INTL | Tigres del Licey | — | 109 | 103 | 27 | 4 | 0 | 1 | 5 | 15 | 1 | 0 | 0 | 262 | 303 | 330 | 633 | 68 | 299 | 14 | 5 | 288 | 81 | — | — | — | — | — | — |
| 2022 | 27 | INTL | Tigres del Licey | — | 105 | 99 | 24 | 5 | 1 | 0 | 3 | 21 | 1 | 0 | 0 | 242 | 272 | 313 | 585 | 71 | 300 | 20 | 3 | 259 | 61 | — | — | — | — | — | — |
| 2023 | 28 | INTL | Dominican Republic | — | 146 | 139 | 39 | 6 | 0 | 1 | 4 | 21 | 2 | 0 | 2 | 281 | 310 | 345 | 656 | 65 | 322 | 14 | 3 | 295 | 85 | — | — | — | — | — | — |
| 2024 | 29 | INTL | Tigres del Licey | — | 104 | 100 | 28 | 3 | 1 | 1 | 2 | 14 | 0 | 0 | 1 | 280 | 294 | 360 | 654 | 80 | 310 | 13 | 2 | 286 | 80 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 389 | 367 | 87 | 15 | 5 | 7 | 15 | 79 | 3 | 0 | 0 | 237 | 273 | 362 | 635 | 125 | 281 | 20 | 4 | 280 | 76 | -11 | +0 | -2 | +5 | +8 | -0.0 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK MLE | GCL Blue Jays | — | 183 | 173 | 31 | 1 | 4 | 2 | 4 | 36 | 5 | 5 | 1 | 179 | 220 | 266 | 486 | 87 | 216 | 20 | 2 | 207 | 26 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | Bluefield Blue Jays | — | 202 | 194 | 45 | 8 | 1 | 5 | 3 | 40 | 2 | 1 | 0 | 232 | 251 | 361 | 612 | 129 | 262 | 20 | 1 | 263 | 64 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Lansing Lugnuts | — | 498 | 480 | 118 | 14 | 2 | 4 | 12 | 96 | 1 | 3 | 3 | 246 | 266 | 308 | 574 | 63 | 292 | 19 | 2 | 248 | 54 | — | — | — | — | — | — |
| 2015 | 20 | A+ MLE | Dunedin Blue Jays | — | 276 | 262 | 49 | 8 | 2 | 2 | 7 | 73 | 5 | 1 | 3 | 187 | 223 | 256 | 478 | 69 | 245 | 26 | 3 | 205 | 25 | — | — | — | — | — | — |
| 2015 | 20 | A MLE | Kane County Cougars | — | 218 | 206 | 56 | 5 | 1 | 2 | 6 | 52 | 1 | 5 | 3 | 272 | 296 | 335 | 631 | 63 | 338 | 24 | 3 | 280 | 76 | — | — | — | — | — | — |
| 2016 | 21 | AA MLE | Mobile BayBears | — | 177 | 174 | 46 | 7 | 2 | 3 | 3 | 19 | 0 | 1 | 1 | 264 | 277 | 379 | 656 | 115 | 285 | 11 | 2 | 283 | 78 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | Visalia Rawhide | — | 333 | 319 | 87 | 11 | 4 | 10 | 11 | 54 | 2 | 2 | 1 | 273 | 301 | 426 | 728 | 154 | 298 | 16 | 3 | 312 | 97 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | Erie SeaWolves | — | 557 | 527 | 136 | 26 | 5 | 8 | 22 | 90 | 3 | 3 | 1 | 258 | 292 | 372 | 664 | 114 | 291 | 16 | 4 | 287 | 80 | — | — | — | — | — | — |
| 2018 | 23 | MLB MLE | Detroit Tigers | — | 101 | 94 | 20 | 4 | 1 | 1 | 7 | 20 | 0 | 0 | 0 | 213 | 267 | 309 | 576 | 96 | 260 | 20 | 7 | 265 | 66 | -4 | +0 | -3 | +2 | +2 | -0.2 |
| 2018 | 23 | AAA MLE | Toledo Mud Hens | — | 523 | 511 | 131 | 22 | 3 | 3 | 7 | 78 | 2 | 12 | 4 | 256 | 269 | 329 | 598 | 72 | 294 | 15 | 1 | 260 | 62 | — | — | — | — | — | — |
| 2019 | 24 | MLB MLE | Detroit Tigers | — | 288 | 274 | 68 | 11 | 4 | 6 | 7 | 59 | 3 | 0 | 0 | 248 | 275 | 383 | 658 | 135 | 288 | 20 | 2 | 289 | 82 | -6 | +0 | +1 | +2 | +6 | 0.3 |
| 2019 | 24 | AAA MLE | Toledo Mud Hens | — | 303 | 287 | 83 | 17 | 3 | 5 | 10 | 59 | 3 | 6 | 3 | 289 | 320 | 422 | 742 | 132 | 343 | 19 | 3 | 324 | 105 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | GCL Blue Jays | — | 183 | 173 | 31 | 1 | 4 | 2 | 4 | 36 | 5 | 5 | 1 | 179 | 220 | 266 | 486 | 87 | 215 | 20 | 2 | 207 | 26 | — | — | — | — | — | — |
| 2012 | 17 | ROK RAW | GCL Blue Jays | — | 183 | 170 | 38 | 2 | 5 | 2 | 7 | 25 | 5 | 5 | 1 | 224 | 275 | 329 | 604 | 106 | 252 | 14 | 4 | 271 | 26 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | Bluefield Blue Jays | — | 202 | 194 | 45 | 8 | 1 | 5 | 3 | 40 | 2 | 1 | 0 | 232 | 251 | 361 | 612 | 129 | 263 | 20 | 1 | 263 | 64 | — | — | — | — | — | — |
| 2013 | 18 | ROK RAW | Bluefield Blue Jays | — | 202 | 192 | 57 | 11 | 2 | 6 | 5 | 28 | 2 | 1 | 0 | 297 | 322 | 469 | 790 | 172 | 317 | 14 | 2 | 343 | 64 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Lansing Lugnuts | — | 498 | 480 | 118 | 14 | 2 | 4 | 12 | 96 | 1 | 3 | 3 | 246 | 266 | 308 | 574 | 63 | 297 | 19 | 2 | 248 | 54 | — | — | — | — | — | — |
| 2014 | 19 | A RAW | Lansing Lugnuts | — | 498 | 474 | 123 | 17 | 2 | 4 | 18 | 72 | 1 | 3 | 3 | 259 | 288 | 329 | 617 | 70 | 296 | 14 | 4 | 275 | 54 | — | — | — | — | — | — |
| 2015 | 20 | A+ MLE | 2 teams | — | 494 | 468 | 104 | 13 | 3 | 3 | 13 | 125 | 6 | 6 | 6 | 222 | 253 | 282 | 535 | 60 | 292 | 25 | 3 | 238 | 47 | — | — | — | — | — | — |
| 2015 | 20 | A+ RAW | 2 teams | — | 494 | 463 | 125 | 16 | 4 | 4 | 18 | 86 | 6 | 6 | 6 | 270 | 306 | 348 | 654 | 78 | 319 | 17 | 4 | 291 | 47 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | 3 teams | — | 604 | 582 | 159 | 22 | 7 | 16 | 16 | 86 | 2 | 4 | 2 | 273 | 295 | 418 | 713 | 144 | 295 | 14 | 3 | 302 | 90 | — | — | — | — | — | — |
| 2016 | 21 | A+ RAW | 3 teams | — | 604 | 578 | 176 | 29 | 7 | 18 | 20 | 66 | 2 | 4 | 2 | 304 | 330 | 472 | 802 | 168 | 317 | 11 | 3 | 351 | 90 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | 2 teams | — | 635 | 602 | 154 | 29 | 5 | 9 | 25 | 103 | 3 | 3 | 1 | 256 | 289 | 365 | 654 | 110 | 293 | 16 | 4 | 287 | 80 | — | — | — | — | — | — |
| 2017 | 22 | AA RAW | 2 teams | — | 635 | 590 | 167 | 31 | 5 | 13 | 37 | 79 | 3 | 3 | 1 | 283 | 329 | 419 | 747 | 136 | 306 | 12 | 6 | 330 | 80 | — | — | — | — | — | — |
| 2018 | 23 | AAA MLE | 3 teams | — | 672 | 651 | 163 | 28 | 4 | 4 | 15 | 106 | 2 | 12 | 4 | 250 | 269 | 324 | 594 | 74 | 292 | 16 | 2 | 261 | 63 | — | — | — | — | — | — |
| 2018 | 23 | AAA RAW | 3 teams | — | 672 | 650 | 168 | 31 | 5 | 4 | 16 | 99 | 2 | 12 | 4 | 258 | 278 | 340 | 618 | 82 | 298 | 15 | 2 | 275 | 63 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 591 | 561 | 153 | 29 | 8 | 11 | 17 | 118 | 6 | 6 | 3 | 273 | 301 | 412 | 713 | 139 | 323 | 20 | 3 | 307 | 94 | — | — | — | — | — | — |
| 2019 | 24 | AAA RAW | 2 teams | — | 591 | 555 | 161 | 32 | 8 | 11 | 23 | 111 | 6 | 6 | 3 | 290 | 325 | 436 | 761 | 146 | 341 | 19 | 4 | 333 | 94 | — | — | — | — | — | — |
| 2020 | 25 | INTL MLE | Tigres del Licey | — | 91 | 83 | 22 | 4 | 0 | 1 | 4 | 10 | 4 | 0 | 0 | 265 | 330 | 349 | 679 | 84 | 292 | 11 | 4 | — | — | — | — | — | — | — | — |
| 2020 | 25 | INTL RAW | Tigres del Licey | — | 91 | 83 | 22 | 4 | 0 | 1 | 4 | 10 | 4 | 0 | 0 | 265 | 330 | 349 | 679 | 84 | 292 | 11 | 4 | 311 | 97 | — | — | — | — | — | — |
| 2021 | 26 | INTL MLE | Tigres del Licey | — | 109 | 103 | 27 | 4 | 0 | 1 | 5 | 15 | 1 | 0 | 0 | 262 | 303 | 330 | 633 | 68 | 299 | 14 | 5 | — | — | — | — | — | — | — | — |
| 2021 | 26 | INTL RAW | Tigres del Licey | — | 109 | 103 | 27 | 4 | 0 | 1 | 5 | 15 | 1 | 0 | 0 | 262 | 303 | 330 | 633 | 68 | 299 | 14 | 5 | 288 | 81 | — | — | — | — | — | — |
| 2022 | 27 | INTL MLE | Tigres del Licey | — | 105 | 99 | 24 | 5 | 1 | 0 | 3 | 21 | 1 | 0 | 0 | 242 | 272 | 313 | 585 | 71 | 300 | 20 | 3 | — | — | — | — | — | — | — | — |
| 2022 | 27 | INTL RAW | Tigres del Licey | — | 105 | 99 | 24 | 5 | 1 | 0 | 3 | 21 | 1 | 0 | 0 | 242 | 272 | 313 | 585 | 71 | 300 | 20 | 3 | 259 | 61 | — | — | — | — | — | — |
| 2023 | 28 | INTL MLE | Dominican Republic | — | 146 | 139 | 39 | 6 | 0 | 1 | 4 | 21 | 2 | 0 | 2 | 281 | 310 | 345 | 656 | 65 | 322 | 14 | 3 | — | — | — | — | — | — | — | — |
| 2023 | 28 | INTL RAW | Dominican Republic | — | 146 | 139 | 39 | 6 | 0 | 1 | 4 | 21 | 2 | 0 | 2 | 281 | 310 | 345 | 656 | 65 | 322 | 14 | 3 | 295 | 85 | — | — | — | — | — | — |
| 2024 | 29 | INTL MLE | Tigres del Licey | — | 104 | 100 | 28 | 3 | 1 | 1 | 2 | 14 | 0 | 0 | 1 | 280 | 294 | 360 | 654 | 80 | 310 | 13 | 2 | — | — | — | — | — | — | — | — |
| 2024 | 29 | INTL RAW | Tigres del Licey | — | 104 | 100 | 28 | 3 | 1 | 1 | 2 | 14 | 0 | 0 | 1 | 280 | 294 | 360 | 654 | 80 | 310 | 13 | 2 | 286 | 80 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | GCL Blue Jays | — | 183 | 172 | 31 | 1 | 4 | 2 | 4 | 36 | 5 | 5 | 1 | 180 | 220 | 267 | 487 | 87 | 216 | 20 | 2 | 207 | 26 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | Bluefield Blue Jays | — | 202 | 195 | 45 | 8 | 1 | 5 | 3 | 40 | 2 | 1 | 0 | 231 | 251 | 359 | 610 | 128 | 262 | 20 | 1 | 263 | 64 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Lansing Lugnuts | — | 498 | 482 | 118 | 14 | 2 | 4 | 12 | 96 | 1 | 3 | 3 | 245 | 266 | 307 | 573 | 62 | 292 | 19 | 2 | 248 | 54 | — | — | — | — | — | — |
| 2015 | 20 | A+ MLE | 2 teams | — | 494 | 472 | 104 | 13 | 3 | 3 | 13 | 125 | 6 | 6 | 6 | 220 | 253 | 280 | 532 | 59 | 286 | 25 | 3 | 238 | 47 | — | — | — | — | — | — |
| 2016 | 21 | A+ MLE | 3 teams | — | 604 | 581 | 159 | 22 | 7 | 16 | 16 | 86 | 2 | 4 | 2 | 274 | 295 | 418 | 713 | 145 | 293 | 14 | 3 | 302 | 90 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | 2 teams | — | 635 | 602 | 154 | 29 | 5 | 9 | 25 | 103 | 3 | 3 | 1 | 256 | 289 | 365 | 654 | 110 | 291 | 16 | 4 | 287 | 80 | — | — | — | — | — | — |
| 2018 | 23 | AAA MLE | 3 teams | — | 672 | 650 | 163 | 28 | 4 | 4 | 15 | 106 | 2 | 12 | 4 | 251 | 269 | 325 | 594 | 74 | 289 | 16 | 2 | 261 | 63 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 591 | 563 | 153 | 29 | 8 | 11 | 17 | 118 | 6 | 6 | 3 | 272 | 301 | 410 | 712 | 139 | 316 | 20 | 3 | 307 | 94 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 389 | 367 | 87 | 15 | 5 | 7 | 15 | 79 | 3 | 0 | 0 | 237 | 273 | 362 | 635 | 125 | 281 | 20 | 4 | 280 | 47 | -11 | +0 | -2 | +5 | +8 | -0.0 | |
| / 162G | — | A+C | — | 650 | 613 | 145 | 25 | 8 | 12 | 25 | 132 | 5 | 0 | 0 | 237 | 272 | 362 | 634 | 126 | 279 | 20 | 4 | 280 | 47 | -19 | +0 | -3 | +8 | +14 | -0.1 | |
| Career | — | MLE | — | 4434 | 4235 | 1067 | 166 | 36 | 58 | 123 | 791 | 35 | 40 | 23 | 252 | 279 | 349 | 628 | 97 | 295 | 18 | 3 | 238 | 47 | -11 | +0 | -2 | +5 | +8 | -0.0 | |
| / 162G | — | MLE | — | 650 | 621 | 156 | 24 | 5 | 9 | 18 | 116 | 5 | 6 | 3 | 251 | 278 | 349 | 627 | 98 | 293 | 18 | 3 | 238 | 47 | -19 | +0 | -3 | +8 | +14 | -0.1 | |
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.
2019 AAAToledo Mud Hens · 303 PAwOBA .370 → .324 (−46)K% 17.2% → 19.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.16% | ÷1.056 | ×1.200 | — | — | 19.51% |
| BB% (unintentional) /PA | 4.62% | ÷1.004 | ×0.690 | — | ×1.033 | 3.28% |
| HBP% /PA | 0.99% | — | ×0.940 | — | ×1.033 | 0.96% |
| Singles /BIP | 27.83% | ÷1.013 | ×0.930 | ×0.950 | ×1.033 | 25.07% |
| Doubles /BIP | 9.13% | ÷0.995 | ×0.830 | ×0.950 | ×1.033 | 7.47% |
| Triples /BIP | 1.74% | ÷1.096 | ×0.970 | ×0.950 | ×1.033 | 1.51% |
| Home runs /BIP | 2.17% | ÷0.888 | ×0.840 | — | ×1.033 | 2.12% |
Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 103, 2B 99, 3B 119, K 111, BB 101 — 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 .370 → .324; ISO .156 → .138; BABIP .390 → .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).
2018 AAAToledo Mud Hens · 523 PAwOBA .275 → .260 (−16)K% 12.6% → 15.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.62% | ÷1.011 | ×1.200 | — | — | 14.98% |
| BB% (unintentional) /PA | 1.72% | ÷0.980 | ×0.690 | — | ×1.048 | 1.27% |
| HBP% /PA | 0.38% | — | ×0.940 | — | ×1.048 | 0.38% |
| Singles /BIP | 23.70% | ÷1.005 | ×0.930 | ×1.031 | ×1.048 | 23.70% |
| Doubles /BIP | 5.87% | ÷1.038 | ×0.830 | ×1.031 | ×1.048 | 5.07% |
| Triples /BIP | 0.68% | ÷1.038 | ×0.970 | ×1.031 | ×1.048 | 0.68% |
| Home runs /BIP | 0.68% | ÷0.893 | ×0.840 | — | ×1.048 | 0.67% |
Factors used: league row IL. Park (home-season share, regressed): HR 79, 1B 101, 2B 108, 3B 108, K 102, BB 96 — 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 ×1.031.
Result: wOBA .275 → .260; ISO .081 → .072; BABIP .302 → .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 AAErie SeaWolves · 557 PAwOBA .323 → .287 (−36)K% 12.9% → 16.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.93% | ÷0.973 | ×1.220 | — | — | 16.21% |
| BB% (unintentional) /PA | 5.75% | ÷1.059 | ×0.700 | — | ×1.027 | 3.90% |
| HBP% /PA | 0.54% | — | ×0.850 | — | ×1.027 | 0.47% |
| Singles /BIP | 22.07% | ÷1.020 | ×0.970 | ×1.022 | ×1.027 | 22.03% |
| Doubles /BIP | 6.08% | ÷0.944 | ×0.860 | ×1.022 | ×1.027 | 5.81% |
| Triples /BIP | 1.13% | ÷1.094 | ×0.950 | ×1.022 | ×1.027 | 1.03% |
| Home runs /BIP | 2.93% | ÷1.259 | ×0.780 | — | ×1.027 | 1.86% |
Factors used: league row EL. Park (home-season share, regressed): HR 152, 1B 104, 2B 89, 3B 119, K 95, BB 112 — 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 ×1.022.
Result: wOBA .323 → .287; ISO .147 → .115; BABIP .298 → .291. 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+Visalia Rawhide · 333 PAwOBA .368 → .312 (−56)K% 12.3% → 16.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.31% | ÷1.020 | ×1.340 | — | — | 16.17% |
| BB% (unintentional) /PA | 4.50% | ÷1.008 | ×0.710 | — | ×1.012 | 3.21% |
| HBP% /PA | 0.60% | — | ×0.790 | — | ×1.012 | 0.48% |
| Singles /BIP | 24.45% | ÷0.994 | ×0.910 | ×1.026 | ×1.012 | 23.25% |
| Doubles /BIP | 5.11% | ÷1.038 | ×0.820 | ×1.026 | ×1.012 | 4.19% |
| Triples /BIP | 1.82% | ÷1.065 | ×0.760 | ×1.026 | ×1.012 | 1.35% |
| Home runs /BIP | 4.74% | ÷1.134 | ×0.920 | — | ×1.012 | 3.90% |
Factors used: league row CAL. Park (home-season share, regressed): HR 127, 1B 99, 2B 108, 3B 113, K 104, BB 102 — 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 ×1.026.
Result: wOBA .368 → .312; ISO .200 → .157; BABIP .328 → .298. 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 AAMobile BayBears · 177 PAwOBA .331 → .283 (−48)K% 8.5% → 10.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 8.47% | ÷0.977 | ×1.220 | — | — | 10.58% |
| BB% (unintentional) /PA | 2.26% | ÷0.975 | ×0.680 | — | ×1.042 | 1.64% |
| HBP% /PA | 0.00% | — | ×0.840 | — | ×1.042 | 0.00% |
| Singles /BIP | 24.05% | ÷1.065 | ×0.920 | ×1.012 | ×1.042 | 21.91% |
| Doubles /BIP | 5.70% | ÷1.146 | ×0.910 | ×1.012 | ×1.042 | 4.77% |
| Triples /BIP | 1.27% | ÷0.900 | ×0.880 | ×1.012 | ×1.042 | 1.31% |
| Home runs /BIP | 2.53% | ÷1.160 | ×0.800 | — | ×1.042 | 1.82% |
Factors used: league row SL. Park (home-season share, regressed): HR 132, 1B 113, 2B 129, 3B 80, K 95, BB 95 — 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 ×1.012.
Result: wOBA .331 → .283; ISO .145 → .115; BABIP .318 → .285. 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+Dunedin Blue Jays · 276 PAwOBA .243 → .205 (−38)K% 17.8% → 26.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.75% | ÷0.953 | ×1.420 | — | — | 26.46% |
| BB% (unintentional) /PA | 3.26% | ÷0.974 | ×0.750 | — | ×1.027 | 2.58% |
| HBP% /PA | 1.81% | — | ×0.930 | — | ×1.027 | 1.73% |
| Singles /BIP | 20.85% | ÷1.040 | ×0.920 | ×1.030 | ×1.027 | 19.51% |
| Doubles /BIP | 4.27% | ÷1.063 | ×0.960 | ×1.030 | ×1.027 | 4.07% |
| Triples /BIP | 0.95% | ÷0.989 | ×0.810 | ×1.030 | ×1.027 | 0.82% |
| Home runs /BIP | 0.95% | ÷1.059 | ×0.880 | — | ×1.027 | 0.81% |
Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 108, 2B 113, 3B 98, K 91, BB 95 — 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 ×1.030.
Result: wOBA .243 → .205; ISO .073 → .060; BABIP .262 → .245. 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 AKane County Cougars · 218 PAwOBA .343 → .280 (−63)K% 17.0% → 23.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.97% | ÷0.970 | ×1.360 | — | — | 23.81% |
| BB% (unintentional) /PA | 4.13% | ÷1.021 | ×0.690 | — | ×1.015 | 2.83% |
| HBP% /PA | 0.46% | — | ×0.780 | — | ×1.015 | 0.36% |
| Singles /BIP | 34.34% | ÷1.027 | ×0.920 | ×0.969 | ×1.015 | 30.24% |
| Doubles /BIP | 4.22% | ÷1.042 | ×0.830 | ×0.969 | ×1.015 | 3.30% |
| Triples /BIP | 1.20% | ÷1.150 | ×0.910 | ×0.969 | ×1.015 | 0.94% |
| Home runs /BIP | 1.20% | ÷0.881 | ×0.800 | — | ×1.015 | 1.11% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 105, 2B 108, 3B 130, K 94, BB 104 — 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 ×0.969.
Result: wOBA .343 → .280; ISO .084 → .067; BABIP .391 → .338. 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 ALansing Lugnuts · 498 PAwOBA .270 → .248 (−22)K% 14.5% → 19.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.46% | ÷1.017 | ×1.360 | — | — | 19.34% |
| BB% (unintentional) /PA | 3.61% | ÷1.038 | ×0.690 | — | ×1.030 | 2.47% |
| HBP% /PA | 0.20% | — | ×0.780 | — | ×1.030 | 0.16% |
| Singles /BIP | 24.88% | ÷0.968 | ×0.920 | ×1.036 | ×1.030 | 25.21% |
| Doubles /BIP | 4.23% | ÷1.042 | ×0.830 | ×1.036 | ×1.030 | 3.59% |
| Triples /BIP | 0.50% | ÷1.135 | ×0.910 | ×1.036 | ×1.030 | 0.43% |
| Home runs /BIP | 1.00% | ÷0.872 | ×0.800 | — | ×1.030 | 0.94% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 94, 2B 108, 3B 127, K 103, BB 108 — 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 ×1.036.
Result: wOBA .270 → .248; ISO .070 → .060; BABIP .296 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .