Dwight Smith Jr.
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2023 | 30 | INTLPuerto Rico | 127 | .263/.339/.404 | 2 | 4 | 112 | — |
| 2024 | 31 | INTLTomateros de … | 212 | .301/.424/.480 | 6 | 7 | 157 | — |
| 2025 | 32 | INTLTomateros de … | 68 | .317/.397/.500 | 3 | 0 | 155 | — |
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 | 19 | ROK | Bluefield Blue Jays | — | 173 | 159 | 36 | 6 | 0 | 4 | 11 | 22 | 3 | 1 | 1 | 226 | 289 | 340 | 629 | 113 | 241 | 13 | 6 | 286 | 30 | — | — | — | — | — | — |
| 2013 | 20 | A | Lansing Lugnuts | — | 479 | 423 | 120 | 17 | 3 | 7 | 52 | 82 | 3 | 25 | 5 | 284 | 366 | 388 | 754 | 104 | 337 | 17 | 11 | 342 | 76 | — | — | — | — | — | — |
| 2014 | 21 | A+ | Dunedin Blue Jays | — | 533 | 472 | 134 | 28 | 8 | 12 | 58 | 69 | 1 | 15 | 4 | 284 | 363 | 453 | 817 | 169 | 311 | 13 | 11 | 362 | 95 | — | — | — | — | — | — |
| 2014 | 21 | INTL | Mesa Solar Sox | — | 47 | 42 | 11 | 1 | 1 | 0 | 4 | 5 | 1 | 3 | 0 | 262 | 340 | 333 | 674 | 71 | 297 | 11 | 9 | 310 | 96 | — | — | — | — | — | — |
| 2015 | 22 | AA | New Hampshire Fisher Cats | — | 512 | 460 | 122 | 26 | 2 | 7 | 47 | 64 | 2 | 4 | 3 | 265 | 336 | 376 | 712 | 111 | 294 | 12 | 9 | 321 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AA | New Hampshire Fisher Cats | — | 527 | 471 | 125 | 24 | 5 | 15 | 45 | 91 | 5 | 12 | 7 | 265 | 336 | 433 | 769 | 168 | 296 | 17 | 9 | 339 | 79 | — | — | — | — | — | — |
| 2017 | 24 | MLB | Toronto Blue Jays | — | 29 | 27 | 10 | 2 | 0 | 0 | 1 | 10 | 1 | 1 | 0 | 370 | 414 | 444 | 858 | 74 | 588 | 34 | 3 | 388 | 148 | +2 | +0 | -0 | -5 | +1 | -0.3 |
| 2017 | 24 | AAA | Buffalo Bisons | — | 449 | 395 | 108 | 21 | 1 | 8 | 47 | 71 | 2 | 8 | 8 | 273 | 354 | 392 | 746 | 119 | 312 | 16 | 10 | 334 | 89 | — | — | — | — | — | — |
| 2018 | 25 | MLB | Toronto Blue Jays | — | 75 | 65 | 17 | 8 | 0 | 2 | 7 | 13 | 2 | 0 | 0 | 262 | 351 | 477 | 828 | 215 | 294 | 17 | 9 | 362 | 131 | +3 | +0 | -3 | -5 | +2 | -0.3 |
| 2018 | 25 | AAA | Buffalo Bisons | — | 361 | 310 | 83 | 25 | 1 | 6 | 44 | 53 | 2 | 9 | 3 | 268 | 362 | 413 | 775 | 145 | 302 | 15 | 12 | 345 | 94 | — | — | — | — | — | — |
| 2019 | 26 | MLB | Baltimore Orioles | — | 392 | 357 | 86 | 16 | 3 | 13 | 26 | 82 | 4 | 5 | 1 | 241 | 300 | 412 | 712 | 171 | 274 | 21 | 7 | 312 | 93 | -3 | +1 | -10 | -5 | +8 | -0.9 |
| 2019 | 26 | AAA | Norfolk Tides | — | 49 | 45 | 14 | 2 | 0 | 3 | 3 | 8 | 1 | 0 | 0 | 311 | 367 | 556 | 923 | 244 | 324 | 16 | 6 | 404 | 116 | — | — | — | — | — | — |
| 2020 | 27 | MLB | Baltimore Orioles | — | 72 | 63 | 14 | 3 | 0 | 2 | 7 | 19 | 1 | 1 | 0 | 222 | 310 | 365 | 675 | 143 | 279 | 26 | 10 | 302 | 80 | -2 | +0 | -4 | -1 | +2 | -0.5 |
| 2021 | 28 | AAA | Louisville Bats | — | 147 | 127 | 28 | 5 | 0 | 1 | 20 | 34 | 0 | 1 | 1 | 220 | 327 | 283 | 610 | 63 | 293 | 23 | 14 | 288 | 36 | — | — | — | — | — | — |
| 2022 | 29 | AAA | Charlotte Knights | — | 60 | 55 | 13 | 2 | 0 | 1 | 5 | 13 | 0 | 0 | 0 | 236 | 300 | 327 | 627 | 91 | 293 | 22 | 8 | 286 | 30 | — | — | — | — | — | — |
| 2023 | 30 | INTL | Puerto Rico | — | 127 | 114 | 30 | 8 | 1 | 2 | 11 | 22 | 2 | 4 | 1 | 263 | 339 | 404 | 742 | 140 | 311 | 17 | 9 | 334 | 112 | — | — | — | — | — | — |
| 2024 | 31 | INTL | Tomateros de Culiacan | — | 212 | 173 | 52 | 9 | 2 | 6 | 34 | 43 | 3 | 7 | 1 | 301 | 424 | 480 | 904 | 179 | 368 | 20 | 16 | 400 | 157 | — | — | — | — | — | — |
| 2025 | 32 | INTL | Tomateros de Culiacan | — | 68 | 60 | 19 | 2 | 0 | 3 | 8 | 18 | 0 | 0 | 0 | 317 | 397 | 500 | 897 | 183 | 410 | 26 | 12 | 398 | 155 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 568 | 512 | 127 | 29 | 3 | 17 | 41 | 124 | 8 | 7 | 1 | 248 | 314 | 416 | 730 | 168 | 292 | 22 | 7 | 321 | 104 | +2 | +1 | -16 | -15 | +12 | -1.6 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 19 | ROK MLE | Bluefield Blue Jays | — | 173 | 163 | 28 | 4 | 0 | 3 | 7 | 31 | 3 | 1 | 1 | 172 | 220 | 252 | 471 | 80 | 199 | 18 | 4 | 213 | 30 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | Lansing Lugnuts | — | 479 | 441 | 109 | 15 | 3 | 5 | 34 | 112 | 3 | 25 | 5 | 247 | 305 | 329 | 634 | 82 | 316 | 23 | 7 | 281 | 76 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | Dunedin Blue Jays | — | 533 | 486 | 124 | 26 | 7 | 8 | 44 | 96 | 1 | 15 | 4 | 255 | 318 | 387 | 705 | 132 | 302 | 18 | 8 | 308 | 95 | — | — | — | — | — | — |
| 2015 | 22 | AA MLE | New Hampshire Fisher Cats | — | 512 | 474 | 118 | 22 | 2 | 5 | 33 | 81 | 2 | 4 | 3 | 249 | 301 | 335 | 636 | 86 | 288 | 16 | 6 | 280 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | New Hampshire Fisher Cats | — | 527 | 487 | 118 | 22 | 5 | 9 | 29 | 114 | 5 | 12 | 7 | 242 | 292 | 363 | 655 | 121 | 289 | 22 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2017 | 24 | MLB MLE | Toronto Blue Jays | — | 29 | 27 | 10 | 2 | 0 | 0 | 1 | 10 | 1 | 1 | 0 | 370 | 414 | 444 | 858 | 74 | 588 | 34 | 3 | 387 | 148 | +2 | +0 | -0 | -5 | +1 | -0.3 |
| 2017 | 24 | AAA MLE | Buffalo Bisons | — | 449 | 411 | 106 | 20 | 1 | 8 | 31 | 90 | 2 | 8 | 8 | 258 | 313 | 370 | 683 | 112 | 304 | 20 | 7 | 300 | 89 | — | — | — | — | — | — |
| 2018 | 25 | MLB MLE | Toronto Blue Jays | — | 75 | 65 | 17 | 8 | 0 | 2 | 7 | 13 | 2 | 0 | 0 | 262 | 351 | 477 | 828 | 215 | 294 | 17 | 9 | 362 | 131 | +3 | +0 | -3 | -5 | +2 | -0.3 |
| 2018 | 25 | AAA MLE | Buffalo Bisons | — | 361 | 322 | 82 | 23 | 1 | 5 | 32 | 64 | 2 | 9 | 3 | 255 | 326 | 379 | 705 | 124 | 292 | 18 | 9 | 307 | 94 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | Baltimore Orioles | — | 392 | 357 | 84 | 16 | 3 | 12 | 26 | 82 | 4 | 5 | 1 | 235 | 295 | 398 | 692 | 162 | 274 | 21 | 7 | 305 | 93 | -3 | +1 | -10 | -5 | +8 | -0.9 |
| 2019 | 26 | AAA MLE | Norfolk Tides | — | 49 | 46 | 13 | 2 | 0 | 3 | 2 | 10 | 1 | 0 | 0 | 283 | 327 | 522 | 848 | 239 | 287 | 20 | 4 | 340 | 116 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | Baltimore Orioles | — | 72 | 64 | 14 | 3 | 0 | 2 | 6 | 19 | 1 | 1 | 0 | 219 | 296 | 359 | 655 | 141 | 279 | 26 | 8 | 287 | 80 | -2 | +0 | -4 | -1 | +2 | -0.5 |
| 2021 | 28 | AAA MLE | Louisville Bats | — | 147 | 135 | 25 | 4 | 0 | 1 | 12 | 43 | 0 | 1 | 1 | 185 | 252 | 237 | 489 | 52 | 264 | 29 | 8 | 221 | 36 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | Charlotte Knights | — | 60 | 57 | 11 | 2 | 0 | 0 | 3 | 16 | 0 | 0 | 0 | 193 | 233 | 228 | 461 | 35 | 255 | 27 | 5 | 213 | 30 | — | — | — | — | — | — |
| 2012 | 19 | ROK MLE | Bluefield Blue Jays | — | 173 | 163 | 28 | 4 | 0 | 3 | 7 | 31 | 3 | 1 | 1 | 172 | 220 | 252 | 471 | 80 | 194 | 18 | 4 | 213 | 30 | — | — | — | — | — | — |
| 2012 | 19 | ROK RAW | Bluefield Blue Jays | — | 173 | 159 | 36 | 6 | 0 | 4 | 11 | 22 | 3 | 1 | 1 | 226 | 289 | 340 | 629 | 113 | 241 | 13 | 6 | 286 | 30 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | Lansing Lugnuts | — | 479 | 441 | 109 | 15 | 3 | 5 | 34 | 112 | 3 | 25 | 5 | 247 | 305 | 329 | 634 | 82 | 320 | 23 | 7 | 281 | 76 | — | — | — | — | — | — |
| 2013 | 20 | A RAW | Lansing Lugnuts | — | 479 | 423 | 120 | 17 | 3 | 7 | 52 | 82 | 3 | 25 | 5 | 284 | 366 | 388 | 754 | 104 | 337 | 17 | 11 | 342 | 76 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | 2 teams | — | 580 | 528 | 135 | 28 | 8 | 9 | 48 | 105 | 2 | 18 | 4 | 256 | 320 | 390 | 710 | 134 | 304 | 18 | 8 | 308 | 95 | — | — | — | — | — | — |
| 2014 | 21 | A+ RAW | 2 teams | — | 580 | 514 | 145 | 29 | 9 | 12 | 62 | 74 | 2 | 18 | 4 | 282 | 362 | 444 | 805 | 161 | 310 | 13 | 11 | 358 | 95 | — | — | — | — | — | — |
| 2015 | 22 | AA MLE | New Hampshire Fisher Cats | — | 512 | 474 | 118 | 22 | 2 | 5 | 33 | 81 | 2 | 4 | 3 | 249 | 301 | 335 | 636 | 86 | 290 | 16 | 6 | 280 | 76 | — | — | — | — | — | — |
| 2015 | 22 | AA RAW | New Hampshire Fisher Cats | — | 512 | 460 | 122 | 26 | 2 | 7 | 47 | 64 | 2 | 4 | 3 | 265 | 336 | 376 | 712 | 111 | 294 | 12 | 9 | 321 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | New Hampshire Fisher Cats | — | 527 | 487 | 118 | 22 | 5 | 9 | 29 | 114 | 5 | 12 | 7 | 242 | 292 | 363 | 655 | 121 | 295 | 22 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2016 | 23 | AA RAW | New Hampshire Fisher Cats | — | 527 | 471 | 125 | 24 | 5 | 15 | 45 | 91 | 5 | 12 | 7 | 265 | 336 | 433 | 769 | 168 | 296 | 17 | 9 | 339 | 79 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 478 | 438 | 116 | 22 | 1 | 8 | 32 | 100 | 3 | 9 | 8 | 265 | 319 | 374 | 694 | 110 | 323 | 21 | 7 | 305 | 93 | — | — | — | — | — | — |
| 2017 | 24 | AAA RAW | 2 teams | — | 478 | 422 | 118 | 23 | 1 | 8 | 48 | 81 | 3 | 9 | 8 | 280 | 357 | 396 | 753 | 116 | 326 | 17 | 10 | 337 | 93 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | 2 teams | — | 436 | 387 | 99 | 31 | 1 | 7 | 39 | 77 | 4 | 9 | 3 | 256 | 330 | 395 | 726 | 140 | 299 | 18 | 9 | 316 | 100 | — | — | — | — | — | — |
| 2018 | 25 | AAA RAW | 2 teams | — | 436 | 375 | 100 | 33 | 1 | 8 | 51 | 66 | 4 | 9 | 3 | 267 | 360 | 424 | 784 | 157 | 301 | 15 | 12 | 348 | 100 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | 2 teams | — | 441 | 403 | 97 | 18 | 3 | 15 | 28 | 92 | 5 | 5 | 1 | 241 | 298 | 412 | 710 | 171 | 273 | 21 | 6 | 309 | 95 | -2 | +1 | -10 | -5 | +10 | -0.7 |
| 2019 | 26 | MLB RAW | 2 teams | — | 441 | 402 | 100 | 18 | 3 | 16 | 29 | 90 | 5 | 5 | 1 | 249 | 307 | 428 | 735 | 179 | 280 | 20 | 7 | 322 | 95 | -2 | +1 | -10 | -5 | +10 | -0.7 |
| 2020 | 27 | MLB MLE | Baltimore Orioles | — | 72 | 64 | 14 | 3 | 0 | 2 | 6 | 19 | 1 | 1 | 0 | 219 | 296 | 359 | 655 | 141 | 273 | 26 | 8 | 287 | 80 | -2 | +0 | -4 | -1 | +2 | -0.5 |
| 2020 | 27 | MLB RAW | Baltimore Orioles | — | 72 | 63 | 14 | 3 | 0 | 2 | 7 | 19 | 1 | 1 | 0 | 222 | 310 | 365 | 675 | 143 | 279 | 26 | 10 | 302 | 80 | -2 | +0 | -4 | -1 | +2 | -0.5 |
| 2021 | 28 | AAA MLE | Louisville Bats | — | 147 | 135 | 25 | 4 | 0 | 1 | 12 | 43 | 0 | 1 | 1 | 185 | 252 | 237 | 489 | 52 | 264 | 29 | 8 | 221 | 36 | — | — | — | — | — | — |
| 2021 | 28 | AAA RAW | Louisville Bats | — | 147 | 127 | 28 | 5 | 0 | 1 | 20 | 34 | 0 | 1 | 1 | 220 | 327 | 283 | 610 | 63 | 293 | 23 | 14 | 288 | 36 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | Charlotte Knights | — | 60 | 57 | 11 | 2 | 0 | 0 | 3 | 16 | 0 | 0 | 0 | 193 | 233 | 228 | 461 | 35 | 268 | 27 | 5 | 213 | 30 | — | — | — | — | — | — |
| 2022 | 29 | AAA RAW | Charlotte Knights | — | 60 | 55 | 13 | 2 | 0 | 1 | 5 | 13 | 0 | 0 | 0 | 236 | 300 | 327 | 627 | 91 | 293 | 22 | 8 | 286 | 30 | — | — | — | — | — | — |
| 2023 | 30 | INTL MLE | Puerto Rico | — | 127 | 114 | 30 | 8 | 1 | 2 | 11 | 22 | 2 | 4 | 1 | 263 | 339 | 404 | 742 | 140 | 311 | 17 | 9 | — | — | — | — | — | — | — | — |
| 2023 | 30 | INTL RAW | Puerto Rico | — | 127 | 114 | 30 | 8 | 1 | 2 | 11 | 22 | 2 | 4 | 1 | 263 | 339 | 404 | 742 | 140 | 311 | 17 | 9 | 334 | 112 | — | — | — | — | — | — |
| 2024 | 31 | INTL MLE | Tomateros de Culiacan | — | 212 | 173 | 52 | 9 | 2 | 6 | 34 | 43 | 3 | 7 | 1 | 301 | 424 | 480 | 904 | 179 | 368 | 20 | 16 | — | — | — | — | — | — | — | — |
| 2024 | 31 | INTL RAW | Tomateros de Culiacan | — | 212 | 173 | 52 | 9 | 2 | 6 | 34 | 43 | 3 | 7 | 1 | 301 | 424 | 480 | 904 | 179 | 368 | 20 | 16 | 400 | 157 | — | — | — | — | — | — |
| 2025 | 32 | INTL MLE | Tomateros de Culiacan | — | 68 | 60 | 19 | 2 | 0 | 3 | 8 | 18 | 0 | 0 | 0 | 317 | 397 | 500 | 897 | 183 | 410 | 26 | 12 | — | — | — | — | — | — | — | — |
| 2025 | 32 | INTL RAW | Tomateros de Culiacan | — | 68 | 60 | 19 | 2 | 0 | 3 | 8 | 18 | 0 | 0 | 0 | 317 | 397 | 500 | 897 | 183 | 410 | 26 | 12 | 398 | 155 | — | — | — | — | — | — |
| 2012 | 19 | ROK MLE | Bluefield Blue Jays | — | 173 | 161 | 28 | 4 | 0 | 3 | 7 | 31 | 3 | 1 | 1 | 174 | 220 | 255 | 474 | 81 | 199 | 18 | 4 | 213 | 30 | — | — | — | — | — | — |
| 2013 | 20 | A MLE | Lansing Lugnuts | — | 479 | 439 | 109 | 15 | 3 | 5 | 34 | 112 | 3 | 25 | 5 | 248 | 305 | 330 | 636 | 82 | 316 | 23 | 7 | 281 | 76 | — | — | — | — | — | — |
| 2014 | 21 | A+ MLE | 2 teams | — | 580 | 525 | 135 | 28 | 8 | 9 | 48 | 105 | 2 | 18 | 4 | 257 | 320 | 392 | 712 | 135 | 302 | 18 | 8 | 308 | 95 | — | — | — | — | — | — |
| 2015 | 22 | AA MLE | New Hampshire Fisher Cats | — | 512 | 472 | 118 | 22 | 2 | 5 | 33 | 81 | 2 | 4 | 3 | 250 | 301 | 337 | 637 | 87 | 288 | 16 | 6 | 280 | 76 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | New Hampshire Fisher Cats | — | 527 | 488 | 118 | 22 | 5 | 9 | 29 | 114 | 5 | 12 | 7 | 242 | 292 | 363 | 654 | 121 | 289 | 22 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 478 | 440 | 116 | 22 | 1 | 8 | 32 | 100 | 3 | 9 | 8 | 264 | 319 | 373 | 692 | 109 | 321 | 21 | 7 | 305 | 93 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | 2 teams | — | 436 | 390 | 99 | 31 | 1 | 7 | 39 | 77 | 4 | 9 | 3 | 254 | 330 | 392 | 723 | 138 | 292 | 18 | 9 | 316 | 100 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | 2 teams | — | 441 | 405 | 97 | 18 | 3 | 15 | 28 | 92 | 5 | 5 | 1 | 240 | 298 | 410 | 708 | 170 | 276 | 21 | 6 | 309 | 95 | — | — | — | — | — | — |
| 2020 | 27 | MLB MLE | Baltimore Orioles | — | 72 | 65 | 14 | 3 | 0 | 2 | 6 | 19 | 1 | 1 | 0 | 215 | 296 | 354 | 650 | 138 | 279 | 26 | 8 | 287 | 80 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | Louisville Bats | — | 147 | 134 | 25 | 4 | 0 | 1 | 12 | 43 | 0 | 1 | 1 | 187 | 252 | 239 | 491 | 52 | 264 | 29 | 8 | 221 | 36 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | Charlotte Knights | — | 60 | 57 | 11 | 2 | 0 | 0 | 3 | 16 | 0 | 0 | 0 | 193 | 233 | 228 | 461 | 35 | 255 | 27 | 5 | 213 | 30 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 568 | 512 | 127 | 29 | 3 | 17 | 41 | 124 | 8 | 7 | 1 | 248 | 314 | 416 | 730 | 168 | 292 | 22 | 7 | 321 | 63 | +2 | +1 | -16 | -15 | +12 | -1.6 | |
| / 162G | — | A+C | — | 650 | 586 | 144 | 33 | 3 | 19 | 47 | 142 | 9 | 8 | 1 | 246 | 312 | 410 | 721 | 164 | 289 | 22 | 7 | 321 | 63 | +3 | +1 | -19 | -17 | +14 | -1.9 | |
| Career | — | MLE | — | 4312 | 3924 | 971 | 190 | 26 | 75 | 324 | 873 | 33 | 96 | 35 | 247 | 310 | 366 | 677 | 119 | 299 | 20 | 8 | 262 | 63 | +2 | +1 | -16 | -15 | +12 | -1.6 | |
| / 162G | — | MLE | — | 650 | 592 | 147 | 29 | 4 | 11 | 49 | 132 | 5 | 14 | 5 | 248 | 312 | 367 | 678 | 118 | 300 | 20 | 8 | 262 | 63 | +3 | +1 | -19 | -17 | +14 | -1.9 | |
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 AAACharlotte Knights · 60 PAwOBA .279 → .213 (−66)K% 21.7% → 26.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.67% | ÷0.975 | ×1.200 | — | — | 26.68% |
| BB% (unintentional) /PA | 8.33% | ÷1.028 | ×0.690 | — | ×0.972 | 5.44% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.972 | 0.00% |
| Singles /BIP | 23.81% | ÷1.003 | ×0.930 | — | ×0.972 | 21.47% |
| Doubles /BIP | 4.76% | ÷1.028 | ×0.830 | — | ×0.972 | 3.74% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | — | ×0.972 | 0.00% |
| Home runs /BIP | 2.38% | ÷1.421 | ×0.700 | — | ×0.972 | 1.14% |
Factors used: league row International League. Park (home-season share, regressed): HR 184, 1B 101, 2B 106, 3B 80, K 95, BB 106 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average).
Result: wOBA .279 → .213; ISO .091 → .053; BABIP .293 → .255. 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 · 147 PAwOBA .282 → .221 (−61)K% 23.1% → 29.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.13% | ÷0.949 | ×1.200 | — | — | 29.25% |
| BB% (unintentional) /PA | 13.61% | ÷1.099 | ×0.690 | — | ×0.982 | 8.39% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.982 | 0.00% |
| Singles /BIP | 23.66% | ÷0.994 | ×0.930 | ×0.996 | ×0.982 | 21.65% |
| Doubles /BIP | 5.38% | ÷0.945 | ×0.830 | ×0.996 | ×0.982 | 4.62% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | ×0.996 | ×0.982 | 0.00% |
| Home runs /BIP | 1.08% | ÷1.088 | ×0.700 | — | ×0.982 | 0.68% |
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 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.996.
Result: wOBA .282 → .221; ISO .063 → .048; BABIP .293 → .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 AAANorfolk Tides · 49 PAwOBA .392 → .340 (−52)K% 16.3% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.33% | ÷0.973 | ×1.200 | — | — | 20.13% |
| BB% (unintentional) /PA | 6.12% | ÷1.103 | ×0.690 | — | ×1.003 | 3.84% |
| HBP% /PA | 2.04% | — | ×0.940 | — | ×1.003 | 1.92% |
| Singles /BIP | 24.32% | ÷1.033 | ×0.930 | — | ×1.003 | 21.97% |
| Doubles /BIP | 5.41% | ÷0.990 | ×0.830 | — | ×1.003 | 4.55% |
| Triples /BIP | 0.00% | ÷0.954 | ×0.970 | — | ×1.003 | 0.00% |
| Home runs /BIP | 8.11% | ÷0.889 | ×0.840 | — | ×1.003 | 7.69% |
Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 107, 2B 98, 3B 91, K 95, BB 121 — 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).
Result: wOBA .392 → .340; ISO .244 → .223; BABIP .324 → .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).
2018 AAABuffalo Bisons · 361 PAwOBA .340 → .307 (−33)K% 14.7% → 17.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.68% | ÷0.993 | ×1.200 | — | — | 17.74% |
| BB% (unintentional) /PA | 12.19% | ÷0.954 | ×0.690 | — | ×1.018 | 8.98% |
| HBP% /PA | 0.55% | — | ×0.940 | — | ×1.018 | 0.53% |
| Singles /BIP | 19.84% | ÷0.970 | ×0.930 | ×1.037 | ×1.018 | 20.09% |
| Doubles /BIP | 9.73% | ÷0.987 | ×0.830 | ×1.037 | ×1.018 | 8.64% |
| Triples /BIP | 0.39% | ÷1.150 | ×0.970 | ×1.037 | ×1.018 | 0.35% |
| Home runs /BIP | 2.33% | ÷1.080 | ×0.840 | — | ×1.018 | 1.85% |
Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — 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 ×1.037.
Result: wOBA .340 → .307; ISO .145 → .126; BABIP .302 → .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).
2017 AAABuffalo Bisons · 449 PAwOBA .327 → .300 (−27)K% 15.8% → 20.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.81% | ÷0.950 | ×1.200 | — | — | 19.97% |
| BB% (unintentional) /PA | 10.02% | ÷1.027 | ×0.690 | — | ×1.033 | 6.95% |
| HBP% /PA | 0.45% | — | ×0.940 | — | ×1.033 | 0.43% |
| Singles /BIP | 24.07% | ÷1.021 | ×0.930 | ×1.040 | ×1.033 | 23.56% |
| Doubles /BIP | 6.48% | ÷0.940 | ×0.830 | ×1.040 | ×1.033 | 6.15% |
| Triples /BIP | 0.31% | ÷0.961 | ×0.970 | ×1.040 | ×1.033 | 0.33% |
| Home runs /BIP | 2.47% | ÷0.903 | ×0.840 | — | ×1.033 | 2.37% |
Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 104, 2B 88, 3B 92, K 90, BB 106 — 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 ×1.040.
Result: wOBA .327 → .300; ISO .119 → .115; BABIP .312 → .304. 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 AANew Hampshire Fisher Cats · 527 PAwOBA .333 → .285 (−48)K% 17.3% → 21.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.27% | ÷0.969 | ×1.220 | — | — | 21.74% |
| BB% (unintentional) /PA | 8.35% | ÷1.079 | ×0.700 | — | ×1.012 | 5.48% |
| HBP% /PA | 0.95% | — | ×0.850 | — | ×1.012 | 0.82% |
| Singles /BIP | 21.32% | ÷0.995 | ×0.970 | ×1.033 | ×1.012 | 21.73% |
| Doubles /BIP | 6.32% | ÷1.000 | ×0.860 | ×1.033 | ×1.012 | 5.68% |
| Triples /BIP | 1.32% | ÷1.031 | ×0.950 | ×1.033 | ×1.012 | 1.27% |
| Home runs /BIP | 3.95% | ÷1.292 | ×0.780 | — | ×1.012 | 2.41% |
Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 99, 2B 100, 3B 106, K 94, BB 116 — 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 ×1.033.
Result: wOBA .333 → .285; ISO .168 → .124; BABIP .296 → .289. 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 AANew Hampshire Fisher Cats · 512 PAwOBA .314 → .280 (−34)K% 12.5% → 15.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.50% | ÷0.960 | ×1.220 | — | — | 15.89% |
| BB% (unintentional) /PA | 9.18% | ÷1.026 | ×0.700 | — | ×1.027 | 6.43% |
| HBP% /PA | 0.39% | — | ×0.850 | — | ×1.027 | 0.34% |
| Singles /BIP | 21.97% | ÷0.996 | ×0.970 | ×1.026 | ×1.027 | 22.54% |
| Doubles /BIP | 6.57% | ÷1.064 | ×0.860 | ×1.026 | ×1.027 | 5.60% |
| Triples /BIP | 0.51% | ÷1.150 | ×0.950 | ×1.026 | ×1.027 | 0.44% |
| Home runs /BIP | 1.77% | ÷1.130 | ×0.780 | — | ×1.027 | 1.25% |
Factors used: league row EL. Park (home-season share, regressed): HR 126, 1B 99, 2B 113, 3B 130, K 92, BB 105 — 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 ×1.026.
Result: wOBA .314 → .280; ISO .111 → .088; BABIP .294 → .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).
2014 A+Dunedin Blue Jays · 533 PAwOBA .353 → .308 (−44)K% 12.9% → 18.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.95% | ÷1.016 | ×1.420 | — | — | 18.09% |
| BB% (unintentional) /PA | 10.69% | ÷0.979 | ×0.750 | — | ×1.012 | 8.29% |
| HBP% /PA | 0.19% | — | ×0.930 | — | ×1.012 | 0.18% |
| Singles /BIP | 21.34% | ÷0.982 | ×0.920 | ×1.050 | ×1.012 | 21.24% |
| Doubles /BIP | 6.95% | ÷1.083 | ×0.960 | ×1.050 | ×1.012 | 6.54% |
| Triples /BIP | 1.99% | ÷0.900 | ×0.810 | ×1.050 | ×1.012 | 1.90% |
| Home runs /BIP | 2.98% | ÷1.309 | ×0.880 | — | ×1.012 | 2.03% |
Factors used: league row FSL. Park (home-season share, regressed): HR 162, 1B 96, 2B 117, 3B 80, K 103, BB 96 — 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 ×1.050.
Result: wOBA .353 → .308; ISO .169 → .136; BABIP .311 → .302. 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 — .