Matt Hague
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2015 | 29 | AAATOR | 596 | .338/.418/.468 | 11 | 5 | 114 | — | .301/.359/.413 | |
| 2015 | 29 | MLBTOR | 15 | .250/.400/.333 | 0 | 0 | 90 | -1.2 | ||
| 2017 | 31 | AAAWSH | 580 | .297/.379/.416 | 10 | 8 | 78 | — | .247/.304/.342 | |
| 2018 | 32 | AAASyracuse Chie… | 186 | .237/.366/.303 | 1 | 0 | 60 | — | .210/.301/.272 | |
| 2019 | 33 | No MLB games played | ||||||||
| 2020 | 34 | No MLB games played | ||||||||
| 2021 | 35 | No MLB games played | ||||||||
| 2022 | 36 | No MLB games played | ||||||||
| 2023 | 37 | No MLB games played | ||||||||
| 2024 | 38 | No MLB games played | ||||||||
| 2025 | 39 | No MLB games played | ||||||||
| 2026 | 40 | No MLB games played | ||||||||
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) | |||||||||||||||||||||||||||||||
| 2008 | 22 | A | Hickory Crawdads | — | 242 | 215 | 69 | 14 | 0 | 6 | 20 | 28 | 4 | 1 | 0 | 321 | 389 | 470 | 859 | 149 | 342 | 12 | 8 | 379 | 103 | — | — | — | — | — | — |
| 2009 | 23 | A+ | Lynchburg Hillcats | — | 508 | 454 | 133 | 30 | 0 | 8 | 40 | 67 | 8 | 3 | 2 | 293 | 361 | 412 | 772 | 119 | 325 | 13 | 8 | 344 | 79 | — | — | — | — | — | — |
| 2010 | 24 | AA | Altoona Curve | — | 581 | 509 | 150 | 30 | 0 | 15 | 61 | 62 | 7 | 3 | 6 | 295 | 378 | 442 | 820 | 147 | 310 | 11 | 10 | 366 | 110 | — | — | — | — | — | — |
| 2010 | 24 | INTL | Aguilas de Mexicali | — | 22 | 21 | 3 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 143 | 182 | 143 | 325 | 200 | 27 | 5 | 155 | -9 | — | — | — | — | — | — | |
| 2011 | 25 | AAA | Indianapolis Indians | — | 594 | 534 | 165 | 37 | 3 | 12 | 47 | 68 | 9 | 4 | 3 | 309 | 375 | 457 | 832 | 148 | 334 | 11 | 8 | 369 | 107 | — | — | — | — | — | — |
| 2011 | 25 | INTL | Toros del Este | — | 171 | 147 | 38 | 4 | 0 | 2 | 21 | 27 | 3 | 0 | 0 | 259 | 363 | 327 | 689 | 68 | 305 | 16 | 12 | 322 | 104 | — | — | — | — | — | — |
| 2012 | 26 | MLB | Pittsburgh Pirates | — | 74 | 70 | 16 | 2 | 0 | 0 | 3 | 14 | 1 | 1 | 0 | 229 | 270 | 257 | 527 | 29 | 286 | 19 | 4 | 244 | 51 | -4 | +0 | -0 | -8 | +2 | -1.1 |
| 2012 | 26 | AAA | Indianapolis Indians | — | 399 | 367 | 104 | 13 | 0 | 4 | 26 | 50 | 2 | 3 | 1 | 283 | 334 | 351 | 686 | 68 | 316 | 13 | 7 | 309 | 68 | — | — | — | — | — | — |
| 2013 | 27 | AAA | Indianapolis Indians | — | 623 | 536 | 153 | 37 | 2 | 8 | 71 | 96 | 11 | 4 | 3 | 285 | 380 | 407 | 786 | 121 | 333 | 15 | 11 | 355 | 91 | — | — | — | — | — | — |
| 2013 | 27 | INTL | Toros del Este | — | 69 | 64 | 20 | 4 | 0 | 2 | 5 | 13 | 0 | 0 | 0 | 312 | 362 | 469 | 831 | 156 | 367 | 19 | 7 | 369 | 136 | — | — | — | — | — | — |
| 2014 | 28 | AAA | Buffalo Bisons | — | 442 | 383 | 108 | 23 | 1 | 15 | 49 | 76 | 7 | 1 | 3 | 282 | 374 | 465 | 838 | 183 | 315 | 17 | 11 | 371 | 88 | — | — | — | — | — | — |
| 2014 | 28 | INTL | Toros del Este | — | 169 | 149 | 43 | 7 | 0 | 0 | 13 | 28 | 4 | 2 | 0 | 289 | 361 | 336 | 697 | 47 | 347 | 17 | 8 | 317 | 101 | — | — | — | — | — | — |
| 2015 | 29 | MLB | Toronto Blue Jays | — | 15 | 12 | 3 | 1 | 0 | 0 | 2 | 4 | 1 | 0 | 0 | 250 | 400 | 333 | 733 | 83 | 375 | 27 | 13 | 348 | 90 | -0 | +0 | -1 | -11 | +0 | -1.2 |
| 2015 | 29 | AAA | Buffalo Bisons | — | 596 | 523 | 177 | 33 | 1 | 11 | 61 | 65 | 10 | 5 | 1 | 338 | 418 | 468 | 886 | 130 | 370 | 11 | 10 | 396 | 114 | — | — | — | — | — | — |
| 2017 | 31 | AAA | Rochester Red Wings | — | 580 | 502 | 149 | 30 | 0 | 10 | 61 | 75 | 6 | 8 | 2 | 297 | 379 | 416 | 795 | 120 | 326 | 13 | 11 | 353 | 78 | — | — | — | — | — | — |
| 2018 | 32 | AAA | Syracuse Chiefs | — | 186 | 152 | 36 | 7 | 0 | 1 | 31 | 27 | 0 | 0 | 1 | 237 | 366 | 303 | 669 | 66 | 276 | 15 | 17 | 312 | 60 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 89 | 82 | 19 | 3 | 0 | 0 | 5 | 18 | 2 | 1 | 0 | 232 | 292 | 268 | 560 | 37 | 297 | 20 | 6 | 262 | 63 | -4 | +0 | -1 | -19 | +2 | -2.2 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2008 | 22 | A MLE | Hickory Crawdads | — | 242 | 222 | 63 | 12 | 0 | 5 | 13 | 38 | 4 | 1 | 0 | 284 | 335 | 405 | 740 | 122 | 313 | 16 | 5 | 321 | 103 | — | — | — | — | — | — |
| 2009 | 23 | A+ MLE | Lynchburg Hillcats | — | 508 | 470 | 118 | 24 | 0 | 7 | 24 | 95 | 8 | 3 | 2 | 251 | 299 | 347 | 646 | 96 | 293 | 19 | 5 | 285 | 79 | — | — | — | — | — | — |
| 2010 | 24 | AA MLE | Altoona Curve | — | 581 | 529 | 149 | 26 | 0 | 15 | 41 | 76 | 7 | 3 | 6 | 282 | 341 | 416 | 757 | 134 | 300 | 13 | 7 | 331 | 110 | — | — | — | — | — | — |
| 2011 | 25 | AAA MLE | Indianapolis Indians | — | 594 | 550 | 156 | 34 | 3 | 11 | 31 | 82 | 9 | 4 | 3 | 284 | 332 | 416 | 749 | 133 | 311 | 14 | 5 | 327 | 107 | — | — | — | — | — | — |
| 2012 | 26 | MLB MLE | Pittsburgh Pirates | — | 74 | 70 | 16 | 2 | 0 | 0 | 3 | 14 | 1 | 1 | 0 | 229 | 270 | 257 | 527 | 29 | 286 | 19 | 4 | 244 | 51 | -4 | +0 | -0 | -8 | +2 | -1.1 |
| 2012 | 26 | AAA MLE | Indianapolis Indians | — | 399 | 376 | 97 | 12 | 0 | 3 | 17 | 59 | 2 | 3 | 1 | 258 | 294 | 314 | 608 | 56 | 293 | 15 | 4 | 269 | 68 | — | — | — | — | — | — |
| 2013 | 27 | AAA MLE | Indianapolis Indians | — | 623 | 562 | 143 | 32 | 2 | 7 | 46 | 126 | 11 | 4 | 3 | 254 | 323 | 356 | 679 | 101 | 312 | 20 | 7 | 303 | 91 | — | — | — | — | — | — |
| 2014 | 28 | AAA MLE | Buffalo Bisons | — | 442 | 401 | 95 | 19 | 1 | 12 | 31 | 97 | 7 | 1 | 3 | 237 | 303 | 379 | 682 | 142 | 277 | 22 | 7 | 299 | 88 | — | — | — | — | — | — |
| 2015 | 29 | MLB MLE | Toronto Blue Jays | — | 15 | 13 | 3 | 1 | 0 | 0 | 1 | 4 | 1 | 0 | 0 | 231 | 333 | 308 | 641 | 77 | 375 | 27 | 7 | 302 | 90 | -0 | +0 | -1 | -11 | +0 | -1.2 |
| 2015 | 29 | AAA MLE | Buffalo Bisons | — | 596 | 545 | 164 | 29 | 1 | 10 | 39 | 77 | 10 | 5 | 1 | 301 | 359 | 413 | 771 | 112 | 332 | 13 | 7 | 336 | 114 | — | — | — | — | — | — |
| 2017 | 31 | AAA MLE | Rochester Red Wings | — | 580 | 527 | 130 | 23 | 0 | 9 | 37 | 90 | 6 | 8 | 2 | 247 | 304 | 342 | 645 | 95 | 269 | 16 | 6 | 283 | 78 | — | — | — | — | — | — |
| 2018 | 32 | AAA MLE | Syracuse Chiefs | — | 186 | 162 | 34 | 7 | 0 | 1 | 21 | 31 | 0 | 0 | 1 | 210 | 301 | 272 | 572 | 62 | 240 | 17 | 11 | 257 | 60 | — | — | — | — | — | — |
| 2008 | 22 | A MLE | Hickory Crawdads | — | 242 | 222 | 63 | 12 | 0 | 5 | 13 | 38 | 4 | 1 | 0 | 284 | 335 | 405 | 740 | 122 | 319 | 16 | 5 | 321 | 103 | — | — | — | — | — | — |
| 2008 | 22 | A RAW | Hickory Crawdads | — | 242 | 215 | 69 | 14 | 0 | 6 | 20 | 28 | 4 | 1 | 0 | 321 | 389 | 470 | 859 | 149 | 342 | 12 | 8 | 379 | 103 | — | — | — | — | — | — |
| 2009 | 23 | A+ MLE | Lynchburg Hillcats | — | 508 | 470 | 118 | 24 | 0 | 7 | 24 | 95 | 8 | 3 | 2 | 251 | 299 | 347 | 646 | 96 | 297 | 19 | 5 | 285 | 79 | — | — | — | — | — | — |
| 2009 | 23 | A+ RAW | Lynchburg Hillcats | — | 508 | 454 | 133 | 30 | 0 | 8 | 40 | 67 | 8 | 3 | 2 | 293 | 361 | 412 | 772 | 119 | 325 | 13 | 8 | 344 | 79 | — | — | — | — | — | — |
| 2010 | 24 | AA MLE | 2 teams | — | 603 | 550 | 154 | 27 | 0 | 15 | 42 | 79 | 7 | 3 | 6 | 280 | 339 | 411 | 750 | 131 | 302 | 13 | 7 | 331 | 110 | — | — | — | — | — | — |
| 2010 | 24 | AA RAW | 2 teams | — | 603 | 530 | 153 | 30 | 0 | 15 | 62 | 68 | 7 | 3 | 6 | 289 | 371 | 430 | 801 | 142 | 306 | 11 | 10 | 358 | 110 | — | — | — | — | — | — |
| 2011 | 25 | AAA MLE | 2 teams | — | 765 | 709 | 201 | 44 | 4 | 14 | 40 | 106 | 12 | 4 | 3 | 283 | 332 | 416 | 749 | 133 | 315 | 14 | 5 | 327 | 107 | — | — | — | — | — | — |
| 2011 | 25 | AAA RAW | 2 teams | — | 765 | 681 | 203 | 41 | 3 | 14 | 68 | 95 | 12 | 4 | 3 | 298 | 372 | 429 | 801 | 131 | 328 | 12 | 9 | 358 | 107 | — | — | — | — | — | — |
| 2012 | 26 | AAA MLE | 2 teams | — | 473 | 446 | 113 | 14 | 0 | 3 | 20 | 73 | 3 | 4 | 1 | 253 | 290 | 305 | 595 | 52 | 295 | 15 | 4 | 265 | 66 | — | — | — | — | — | — |
| 2012 | 26 | AAA RAW | 2 teams | — | 473 | 437 | 120 | 15 | 0 | 4 | 29 | 64 | 3 | 4 | 1 | 275 | 324 | 336 | 660 | 62 | 312 | 14 | 6 | 299 | 66 | — | — | — | — | — | — |
| 2013 | 27 | AAA MLE | 2 teams | — | 692 | 626 | 159 | 36 | 2 | 8 | 51 | 140 | 11 | 4 | 3 | 254 | 321 | 356 | 677 | 102 | 314 | 20 | 7 | 303 | 91 | — | — | — | — | — | — |
| 2013 | 27 | AAA RAW | 2 teams | — | 692 | 600 | 173 | 41 | 2 | 10 | 76 | 109 | 11 | 4 | 3 | 288 | 378 | 413 | 791 | 125 | 337 | 16 | 11 | 356 | 91 | — | — | — | — | — | — |
| 2014 | 28 | AAA MLE | 2 teams | — | 611 | 551 | 132 | 26 | 1 | 17 | 43 | 134 | 11 | 3 | 3 | 240 | 307 | 383 | 690 | 143 | 283 | 22 | 7 | 299 | 88 | — | — | — | — | — | — |
| 2014 | 28 | AAA RAW | 2 teams | — | 611 | 532 | 151 | 30 | 1 | 15 | 62 | 104 | 11 | 3 | 3 | 284 | 370 | 429 | 799 | 145 | 325 | 17 | 10 | 356 | 88 | — | — | — | — | — | — |
| 2015 | 29 | AAA MLE | 2 teams | — | 611 | 558 | 167 | 30 | 1 | 10 | 40 | 81 | 11 | 5 | 1 | 299 | 358 | 410 | 768 | 111 | 335 | 13 | 7 | 335 | 113 | — | — | — | — | — | — |
| 2015 | 29 | AAA RAW | 2 teams | — | 611 | 535 | 180 | 34 | 1 | 11 | 63 | 69 | 11 | 5 | 1 | 336 | 417 | 465 | 882 | 129 | 370 | 11 | 10 | 395 | 113 | — | — | — | — | — | — |
| 2017 | 31 | AAA MLE | Rochester Red Wings | — | 580 | 527 | 130 | 23 | 0 | 9 | 37 | 90 | 6 | 8 | 2 | 247 | 304 | 342 | 645 | 95 | 276 | 16 | 6 | 283 | 78 | — | — | — | — | — | — |
| 2017 | 31 | AAA RAW | Rochester Red Wings | — | 580 | 502 | 149 | 30 | 0 | 10 | 61 | 75 | 6 | 8 | 2 | 297 | 379 | 416 | 795 | 120 | 326 | 13 | 11 | 353 | 78 | — | — | — | — | — | — |
| 2018 | 32 | AAA MLE | Syracuse Chiefs | — | 186 | 162 | 34 | 7 | 0 | 1 | 21 | 31 | 0 | 0 | 1 | 210 | 301 | 272 | 572 | 62 | 248 | 17 | 11 | 257 | 60 | — | — | — | — | — | — |
| 2018 | 32 | AAA RAW | Syracuse Chiefs | — | 186 | 152 | 36 | 7 | 0 | 1 | 31 | 27 | 0 | 0 | 1 | 237 | 366 | 303 | 669 | 66 | 276 | 15 | 17 | 312 | 60 | — | — | — | — | — | — |
| 2008 | 22 | A MLE | Hickory Crawdads | — | 242 | 223 | 63 | 12 | 0 | 5 | 13 | 38 | 4 | 1 | 0 | 283 | 335 | 404 | 738 | 121 | 313 | 16 | 5 | 321 | 103 | — | — | — | — | — | — |
| 2009 | 23 | A+ MLE | Lynchburg Hillcats | — | 508 | 471 | 118 | 24 | 0 | 7 | 24 | 95 | 8 | 3 | 2 | 251 | 299 | 346 | 645 | 96 | 293 | 19 | 5 | 285 | 79 | — | — | — | — | — | — |
| 2010 | 24 | AA MLE | 2 teams | — | 603 | 549 | 154 | 27 | 0 | 15 | 42 | 79 | 7 | 3 | 6 | 281 | 339 | 412 | 751 | 131 | 300 | 13 | 7 | 331 | 110 | — | — | — | — | — | — |
| 2011 | 25 | AAA MLE | 2 teams | — | 765 | 707 | 201 | 44 | 4 | 14 | 40 | 106 | 12 | 4 | 3 | 284 | 332 | 417 | 750 | 133 | 311 | 14 | 5 | 327 | 107 | — | — | — | — | — | — |
| 2012 | 26 | AAA MLE | 2 teams | — | 473 | 447 | 113 | 14 | 0 | 3 | 20 | 73 | 3 | 4 | 1 | 253 | 290 | 304 | 594 | 51 | 292 | 15 | 4 | 265 | 66 | — | — | — | — | — | — |
| 2013 | 27 | AAA MLE | 2 teams | — | 692 | 625 | 159 | 36 | 2 | 8 | 51 | 140 | 11 | 4 | 3 | 254 | 321 | 357 | 678 | 102 | 312 | 20 | 7 | 303 | 91 | — | — | — | — | — | — |
| 2014 | 28 | AAA MLE | 2 teams | — | 611 | 552 | 132 | 26 | 1 | 17 | 43 | 134 | 11 | 3 | 3 | 239 | 307 | 382 | 690 | 143 | 277 | 22 | 7 | 299 | 88 | — | — | — | — | — | — |
| 2015 | 29 | AAA MLE | 2 teams | — | 611 | 555 | 167 | 30 | 1 | 10 | 40 | 81 | 11 | 5 | 1 | 301 | 358 | 413 | 771 | 112 | 333 | 13 | 7 | 335 | 113 | — | — | — | — | — | — |
| 2017 | 31 | AAA MLE | Rochester Red Wings | — | 580 | 532 | 130 | 23 | 0 | 9 | 37 | 90 | 6 | 8 | 2 | 244 | 304 | 338 | 642 | 94 | 269 | 16 | 6 | 283 | 78 | — | — | — | — | — | — |
| 2018 | 32 | AAA MLE | Syracuse Chiefs | — | 186 | 163 | 34 | 7 | 0 | 1 | 21 | 31 | 0 | 0 | 1 | 209 | 301 | 270 | 570 | 61 | 240 | 17 | 11 | 257 | 60 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 89 | 82 | 19 | 3 | 0 | 0 | 5 | 18 | 2 | 1 | 0 | 232 | 292 | 268 | 560 | 37 | 297 | 20 | 6 | 262 | 92 | -4 | +0 | -1 | -19 | +2 | -2.2 | |
| / 162G | — | A+C | — | 650 | 599 | 139 | 22 | 0 | 0 | 37 | 131 | 15 | 7 | 0 | 232 | 294 | 269 | 563 | 37 | 297 | 20 | 6 | 262 | 92 | -28 | +1 | -6 | -141 | +14 | -16.4 | |
| Career | — | MLE | — | 5271 | 4821 | 1271 | 243 | 8 | 89 | 331 | 867 | 73 | 35 | 22 | 264 | 321 | 373 | 693 | 109 | 302 | 16 | 6 | 305 | 92 | -4 | +0 | -1 | -19 | +2 | -2.2 | |
| / 162G | — | MLE | — | 650 | 595 | 157 | 30 | 1 | 11 | 41 | 107 | 9 | 4 | 3 | 264 | 321 | 373 | 694 | 109 | 303 | 16 | 6 | 305 | 92 | -28 | +1 | -6 | -141 | +14 | -16.4 | |
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.
2018 AAASyracuse Chiefs · 186 PAwOBA .310 → .257 (−53)K% 14.5% → 16.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.52% | ÷1.044 | ×1.200 | — | — | 16.68% |
| BB% (unintentional) /PA | 16.67% | ÷0.956 | ×0.690 | — | ×0.942 | 11.33% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.942 | 0.00% |
| Singles /BIP | 22.40% | ÷1.044 | ×0.930 | ×1.037 | ×0.942 | 19.50% |
| Doubles /BIP | 5.60% | ÷0.933 | ×0.830 | ×1.037 | ×0.942 | 4.87% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×1.037 | ×0.942 | 0.00% |
| Home runs /BIP | 0.80% | ÷1.205 | ×0.840 | — | ×0.942 | 0.53% |
Factors used: league row IL. Park (home-season share, regressed): HR 141, 1B 109, 2B 87, 3B 80, K 109, BB 91 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.
Result: wOBA .310 → .257; ISO .066 → .057; BABIP .276 → .240. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2017 AAARochester Red Wings · 580 PAwOBA .350 → .283 (−66)K% 12.9% → 15.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.93% | ÷0.997 | ×1.200 | — | — | 15.56% |
| BB% (unintentional) /PA | 10.34% | ÷1.080 | ×0.690 | — | ×0.952 | 6.29% |
| HBP% /PA | 1.03% | — | ×0.940 | — | ×0.952 | 0.93% |
| Singles /BIP | 25.53% | ÷1.019 | ×0.930 | ×0.988 | ×0.952 | 21.92% |
| Doubles /BIP | 7.03% | ÷1.085 | ×0.830 | ×0.988 | ×0.952 | 5.06% |
| Triples /BIP | 0.00% | ÷1.085 | ×0.970 | ×0.988 | ×0.952 | 0.00% |
| Home runs /BIP | 2.34% | ÷0.956 | ×0.840 | — | ×0.952 | 1.96% |
Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.
Result: wOBA .350 → .283; ISO .120 → .098; BABIP .326 → .269. 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 AAABuffalo Bisons · 596 PAwOBA .387 → .336 (−51)K% 10.9% → 13.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.91% | ÷1.008 | ×1.200 | — | — | 12.99% |
| BB% (unintentional) /PA | 10.07% | ÷1.040 | ×0.690 | — | ×0.972 | 6.49% |
| HBP% /PA | 1.68% | — | ×0.940 | — | ×0.972 | 1.53% |
| Singles /BIP | 28.82% | ÷0.981 | ×0.930 | ×0.992 | ×0.972 | 26.34% |
| Doubles /BIP | 7.21% | ÷0.944 | ×0.830 | ×0.992 | ×0.972 | 6.11% |
| Triples /BIP | 0.22% | ÷0.900 | ×0.970 | ×0.992 | ×0.972 | 0.23% |
| Home runs /BIP | 2.40% | ÷0.966 | ×0.840 | — | ×0.972 | 2.03% |
Factors used: league row IL. Park (home-season share, regressed): HR 93, 1B 96, 2B 89, 3B 80, K 102, BB 108 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.992.
Result: wOBA .387 → .336; ISO .130 → .114; BABIP .370 → .332. 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 AAABuffalo Bisons · 442 PAwOBA .363 → .299 (−64)K% 17.2% → 21.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.19% | ÷0.942 | ×1.200 | — | — | 21.91% |
| BB% (unintentional) /PA | 10.86% | ÷1.041 | ×0.690 | — | ×0.982 | 7.07% |
| HBP% /PA | 1.58% | — | ×0.940 | — | ×0.982 | 1.46% |
| Singles /BIP | 22.48% | ÷0.968 | ×0.930 | ×0.971 | ×0.982 | 20.59% |
| Doubles /BIP | 7.49% | ÷0.985 | ×0.830 | ×0.971 | ×0.982 | 6.02% |
| Triples /BIP | 0.33% | ÷1.150 | ×0.970 | ×0.971 | ×0.982 | 0.26% |
| Home runs /BIP | 4.89% | ÷1.006 | ×0.840 | — | ×0.982 | 4.01% |
Factors used: league row IL. Park (home-season share, regressed): HR 101, 1B 94, 2B 97, 3B 130, K 88, BB 108 — 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 ×0.971.
Result: wOBA .363 → .299; ISO .183 → .149; BABIP .315 → .277. 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 AAAIndianapolis Indians · 623 PAwOBA .346 → .303 (−43)K% 15.4% → 20.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.41% | ÷0.909 | ×1.200 | — | — | 20.34% |
| BB% (unintentional) /PA | 10.91% | ÷1.012 | ×0.690 | — | ×0.992 | 7.39% |
| HBP% /PA | 1.77% | — | ×0.940 | — | ×0.992 | 1.65% |
| Singles /BIP | 24.09% | ÷0.978 | ×0.930 | ×1.017 | ×0.992 | 23.09% |
| Doubles /BIP | 8.41% | ÷0.954 | ×0.830 | ×1.017 | ×0.992 | 7.38% |
| Triples /BIP | 0.45% | ÷1.080 | ×0.970 | ×1.017 | ×0.992 | 0.41% |
| Home runs /BIP | 1.82% | ÷0.901 | ×0.840 | — | ×0.992 | 1.68% |
Factors used: league row IL. Park (home-season share, regressed): HR 80, 1B 96, 2B 91, 3B 116, K 82, BB 102 — 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 ×1.017.
Result: wOBA .346 → .303; ISO .121 → .109; BABIP .333 → .312. 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 AAAIndianapolis Indians · 399 PAwOBA .302 → .269 (−33)K% 12.5% → 14.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.53% | ÷1.014 | ×1.200 | — | — | 14.83% |
| BB% (unintentional) /PA | 6.27% | ÷1.043 | ×0.690 | — | ×1.003 | 4.16% |
| HBP% /PA | 0.50% | — | ×0.940 | — | ×1.003 | 0.47% |
| Singles /BIP | 27.44% | ÷1.038 | ×0.930 | ×1.037 | ×1.003 | 25.56% |
| Doubles /BIP | 4.10% | ÷0.945 | ×0.830 | ×1.037 | ×1.003 | 3.75% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.037 | ×1.003 | 0.00% |
| Home runs /BIP | 1.26% | ÷1.095 | ×0.840 | — | ×1.003 | 0.97% |
Factors used: league row IL. Park (home-season share, regressed): HR 119, 1B 108, 2B 89, 3B 130, K 103, BB 109 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.
Result: wOBA .302 → .269; ISO .068 → .058; BABIP .316 → .293. 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 AAAIndianapolis Indians · 594 PAwOBA .359 → .327 (−32)K% 11.4% → 13.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.45% | ÷0.995 | ×1.200 | — | — | 13.80% |
| BB% (unintentional) /PA | 7.24% | ÷0.978 | ×0.690 | — | ×1.018 | 5.20% |
| HBP% /PA | 1.52% | — | ×0.940 | — | ×1.018 | 1.45% |
| Singles /BIP | 24.25% | ÷1.008 | ×0.930 | ×1.001 | ×1.018 | 22.80% |
| Doubles /BIP | 7.94% | ÷0.927 | ×0.830 | ×1.001 | ×1.018 | 7.25% |
| Triples /BIP | 0.64% | ÷0.984 | ×0.970 | ×1.001 | ×1.018 | 0.65% |
| Home runs /BIP | 2.58% | ÷0.955 | ×0.840 | — | ×1.018 | 2.31% |
Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 102, 2B 85, 3B 97, K 99, BB 96 — 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 ×1.001.
Result: wOBA .359 → .327; ISO .148 → .137; BABIP .334 → .311. 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).
2010 AAAltoona Curve · 581 PAwOBA .356 → .331 (−25)K% 10.7% → 13.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.67% | ÷0.993 | ×1.220 | — | — | 13.10% |
| BB% (unintentional) /PA | 9.64% | ÷0.961 | ×0.700 | — | ×0.998 | 7.01% |
| HBP% /PA | 1.20% | — | ×0.850 | — | ×0.998 | 1.02% |
| Singles /BIP | 23.49% | ÷0.970 | ×0.970 | ×1.008 | ×0.998 | 23.63% |
| Doubles /BIP | 6.71% | ÷1.017 | ×0.860 | ×1.008 | ×0.998 | 5.71% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×1.008 | ×0.998 | 0.00% |
| Home runs /BIP | 3.36% | ÷0.825 | ×0.780 | — | ×0.998 | 3.17% |
Factors used: league row EL. Park (home-season share, regressed): HR 65, 1B 94, 2B 103, 3B 130, K 99, BB 92 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.
Result: wOBA .356 → .331; ISO .147 → .137; BABIP .310 → .300. 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 — .