David Cooper
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2013 | 26 | AAA/ROK2 orgs | 55 | .314/.364/.373 | 0 | 0 | 60 | — | .245/.273/.283 |
| 2014 | 27 | AAACLE | 163 | .224/.319/.273 | 0 | 0 | 41 | — | .201/.270/.242 |
| 2015 | 28 | AABinghamton Me… | 40 | .143/.250/.200 | 0 | 0 | -1 | — | .135/.200/.189 |
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 | 21 | A+ | Dunedin Blue Jays | — | 102 | 92 | 28 | 9 | 0 | 1 | 10 | 16 | 0 | 0 | 0 | 304 | 373 | 435 | 807 | 130 | 360 | 16 | 10 | 362 | 93 | — | — | — | — | — | — |
| 2008 | 21 | A | Lansing Lugnuts | — | 106 | 96 | 34 | 10 | 0 | 2 | 10 | 14 | 0 | 0 | 0 | 354 | 415 | 521 | 936 | 167 | 400 | 13 | 9 | 414 | 117 | — | — | — | — | — | — |
| 2009 | 22 | AA | New Hampshire Fisher Cats | — | 538 | 473 | 122 | 32 | 0 | 10 | 59 | 92 | 2 | 0 | 0 | 258 | 343 | 389 | 732 | 131 | 299 | 17 | 11 | 329 | 82 | — | — | — | — | — | — |
| 2010 | 23 | AA | New Hampshire Fisher Cats | — | 553 | 498 | 128 | 30 | 1 | 20 | 52 | 74 | 1 | 0 | 0 | 257 | 328 | 442 | 770 | 185 | 266 | 13 | 9 | 341 | 77 | — | — | — | — | — | — |
| 2010 | 23 | INTL | Bravos de Margarita | — | 18 | 17 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 176 | 222 | 176 | 399 | 188 | 6 | 6 | 190 | 14 | — | — | — | — | — | — | |
| 2011 | 24 | MLB | Toronto Blue Jays | — | 81 | 71 | 15 | 7 | 0 | 2 | 7 | 14 | 1 | 0 | 0 | 211 | 291 | 394 | 686 | 183 | 228 | 17 | 9 | 299 | 88 | -1 | +0 | -1 | -11 | +2 | -1.2 |
| 2011 | 24 | AAA | Las Vegas 51s | — | 545 | 467 | 170 | 51 | 1 | 9 | 67 | 43 | 2 | 1 | 3 | 364 | 446 | 535 | 981 | 171 | 380 | 8 | 12 | 427 | 132 | — | — | — | — | — | — |
| 2012 | 25 | MLB | Toronto Blue Jays | — | 145 | 140 | 42 | 11 | 0 | 4 | 4 | 22 | 1 | 0 | 1 | 300 | 324 | 464 | 788 | 164 | 333 | 15 | 3 | 348 | 121 | +4 | -0 | -3 | -8 | +3 | -0.5 |
| 2012 | 25 | AAA | Las Vegas 51s | — | 304 | 261 | 82 | 27 | 1 | 10 | 37 | 34 | 1 | 0 | 1 | 314 | 401 | 540 | 942 | 226 | 324 | 11 | 12 | 406 | 114 | — | — | — | — | — | — |
| 2013 | 26 | AAA | Columbus Clippers | — | 28 | 26 | 5 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 192 | 250 | 192 | 442 | 208 | 7 | 7 | 211 | 13 | — | — | — | — | — | — | |
| 2013 | 26 | ROK | AZL Indians | — | 27 | 25 | 11 | 3 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 440 | 481 | 560 | 1.041 | 120 | 458 | 4 | 7 | 462 | 109 | — | — | — | — | — | — |
| 2014 | 27 | AAA | Columbus Clippers | — | 163 | 143 | 32 | 7 | 0 | 0 | 20 | 14 | 0 | 0 | 0 | 224 | 319 | 273 | 592 | 49 | 248 | 9 | 12 | 280 | 41 | — | — | — | — | — | — |
| 2015 | 28 | AA | Binghamton Mets | — | 40 | 35 | 5 | 2 | 0 | 0 | 5 | 9 | 0 | 0 | 0 | 143 | 250 | 200 | 450 | 57 | 192 | 22 | 12 | 219 | -1 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 226 | 211 | 57 | 18 | 0 | 6 | 11 | 36 | 2 | 0 | 1 | 270 | 312 | 441 | 753 | 171 | 298 | 16 | 5 | 330 | 110 | +3 | -0 | -4 | -19 | +5 | -1.7 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2008 | 21 | A+ MLE | Dunedin Blue Jays | — | 102 | 95 | 25 | 8 | 0 | 1 | 7 | 23 | 0 | 0 | 0 | 263 | 314 | 379 | 693 | 116 | 338 | 23 | 7 | 305 | 93 | — | — | — | — | — | — |
| 2008 | 21 | A MLE | Lansing Lugnuts | — | 106 | 99 | 30 | 8 | 0 | 2 | 7 | 19 | 0 | 0 | 0 | 303 | 349 | 444 | 794 | 141 | 364 | 18 | 7 | 341 | 117 | — | — | — | — | — | — |
| 2009 | 22 | AA MLE | New Hampshire Fisher Cats | — | 538 | 491 | 119 | 29 | 0 | 8 | 41 | 112 | 2 | 0 | 0 | 242 | 303 | 350 | 654 | 108 | 292 | 21 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2010 | 23 | AA MLE | New Hampshire Fisher Cats | — | 553 | 514 | 115 | 27 | 1 | 17 | 36 | 91 | 1 | 0 | 0 | 224 | 276 | 379 | 655 | 156 | 237 | 16 | 7 | 282 | 77 | — | — | — | — | — | — |
| 2011 | 24 | MLB MLE | Toronto Blue Jays | — | 81 | 71 | 15 | 7 | 0 | 2 | 7 | 14 | 1 | 0 | 0 | 211 | 291 | 394 | 686 | 183 | 228 | 17 | 9 | 299 | 88 | -1 | +0 | -1 | -11 | +2 | -1.2 |
| 2011 | 24 | AAA MLE | Las Vegas 51s | — | 545 | 489 | 156 | 41 | 1 | 6 | 45 | 56 | 2 | 1 | 3 | 319 | 379 | 444 | 822 | 125 | 336 | 10 | 8 | 363 | 132 | — | — | — | — | — | — |
| 2012 | 25 | MLB MLE | Toronto Blue Jays | — | 145 | 140 | 42 | 11 | 0 | 4 | 4 | 22 | 1 | 0 | 1 | 300 | 324 | 464 | 788 | 164 | 333 | 15 | 3 | 347 | 121 | +4 | -0 | -3 | -8 | +3 | -0.5 |
| 2012 | 25 | AAA MLE | Las Vegas 51s | — | 304 | 273 | 73 | 21 | 1 | 8 | 25 | 44 | 1 | 0 | 1 | 267 | 331 | 440 | 771 | 172 | 281 | 14 | 8 | 336 | 114 | — | — | — | — | — | — |
| 2013 | 26 | AAA MLE | Columbus Clippers | — | 28 | 27 | 5 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 185 | 214 | 185 | 399 | 201 | 7 | 4 | 188 | 13 | — | — | — | — | — | — | |
| 2013 | 26 | ROK MLE | AZL Indians | — | 27 | 26 | 8 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 308 | 333 | 385 | 718 | 77 | 342 | 4 | 4 | 329 | 109 | — | — | — | — | — | — |
| 2014 | 27 | AAA MLE | Columbus Clippers | — | 163 | 149 | 30 | 6 | 0 | 0 | 14 | 16 | 0 | 0 | 0 | 201 | 270 | 242 | 512 | 40 | 221 | 10 | 9 | 229 | 41 | — | — | — | — | — | — |
| 2015 | 28 | AA MLE | Binghamton Mets | — | 40 | 37 | 5 | 2 | 0 | 0 | 3 | 11 | 0 | 0 | 0 | 135 | 200 | 189 | 389 | 54 | 167 | 28 | 8 | 166 | -1 | — | — | — | — | — | — |
| 2008 | 21 | A MLE | 2 teams | — | 208 | 194 | 55 | 17 | 0 | 2 | 14 | 42 | 0 | 0 | 0 | 284 | 332 | 402 | 734 | 119 | 353 | 20 | 7 | 323 | 105 | — | — | — | — | — | — |
| 2008 | 21 | A RAW | 2 teams | — | 208 | 188 | 62 | 19 | 0 | 3 | 20 | 30 | 0 | 0 | 0 | 330 | 394 | 479 | 873 | 149 | 381 | 14 | 10 | 388 | 105 | — | — | — | — | — | — |
| 2009 | 22 | AA MLE | New Hampshire Fisher Cats | — | 538 | 491 | 119 | 29 | 0 | 8 | 41 | 112 | 2 | 0 | 0 | 242 | 303 | 350 | 654 | 108 | 296 | 21 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2009 | 22 | AA RAW | New Hampshire Fisher Cats | — | 538 | 473 | 122 | 32 | 0 | 10 | 59 | 92 | 2 | 0 | 0 | 258 | 343 | 389 | 732 | 131 | 299 | 17 | 11 | 329 | 82 | — | — | — | — | — | — |
| 2010 | 23 | AA MLE | 2 teams | — | 571 | 531 | 118 | 28 | 1 | 17 | 37 | 94 | 1 | 0 | 0 | 222 | 274 | 375 | 649 | 153 | 239 | 16 | 6 | 282 | 77 | — | — | — | — | — | — |
| 2010 | 23 | AA RAW | 2 teams | — | 571 | 515 | 131 | 30 | 1 | 20 | 53 | 75 | 1 | 0 | 0 | 254 | 325 | 433 | 758 | 179 | 263 | 13 | 9 | 336 | 77 | — | — | — | — | — | — |
| 2011 | 24 | AAA MLE | 2 teams | — | 626 | 560 | 170 | 48 | 1 | 8 | 52 | 70 | 3 | 1 | 3 | 304 | 366 | 436 | 802 | 132 | 329 | 11 | 8 | 355 | 126 | — | — | — | — | — | — |
| 2011 | 24 | AAA RAW | 2 teams | — | 626 | 538 | 185 | 58 | 1 | 11 | 74 | 57 | 3 | 1 | 3 | 344 | 426 | 517 | 943 | 173 | 362 | 9 | 12 | 410 | 126 | — | — | — | — | — | — |
| 2012 | 25 | AAA MLE | 2 teams | — | 449 | 413 | 115 | 32 | 1 | 12 | 29 | 66 | 2 | 0 | 2 | 278 | 329 | 448 | 777 | 169 | 303 | 15 | 6 | 340 | 116 | — | — | — | — | — | — |
| 2012 | 25 | AAA RAW | 2 teams | — | 449 | 401 | 124 | 38 | 1 | 14 | 41 | 56 | 2 | 0 | 2 | 309 | 376 | 514 | 890 | 204 | 327 | 12 | 9 | 387 | 116 | — | — | — | — | — | — |
| 2013 | 26 | AAA MLE | 2 teams | — | 55 | 52 | 13 | 2 | 0 | 0 | 3 | 4 | 0 | 0 | 0 | 250 | 291 | 288 | 579 | 38 | 271 | 7 | 5 | 257 | 60 | — | — | — | — | — | — |
| 2013 | 26 | AAA RAW | 2 teams | — | 55 | 51 | 16 | 3 | 0 | 0 | 4 | 3 | 0 | 0 | 0 | 314 | 364 | 373 | 736 | 59 | 333 | 5 | 7 | 335 | 60 | — | — | — | — | — | — |
| 2014 | 27 | AAA MLE | Columbus Clippers | — | 163 | 149 | 30 | 6 | 0 | 0 | 14 | 16 | 0 | 0 | 0 | 201 | 270 | 242 | 512 | 40 | 226 | 10 | 9 | 229 | 41 | — | — | — | — | — | — |
| 2014 | 27 | AAA RAW | Columbus Clippers | — | 163 | 143 | 32 | 7 | 0 | 0 | 20 | 14 | 0 | 0 | 0 | 224 | 319 | 273 | 592 | 49 | 248 | 9 | 12 | 280 | 41 | — | — | — | — | — | — |
| 2015 | 28 | AA MLE | Binghamton Mets | — | 40 | 37 | 5 | 2 | 0 | 0 | 3 | 11 | 0 | 0 | 0 | 135 | 200 | 189 | 389 | 54 | 192 | 28 | 8 | 166 | -1 | — | — | — | — | — | — |
| 2015 | 28 | AA RAW | Binghamton Mets | — | 40 | 35 | 5 | 2 | 0 | 0 | 5 | 9 | 0 | 0 | 0 | 143 | 250 | 200 | 450 | 57 | 192 | 22 | 12 | 219 | -1 | — | — | — | — | — | — |
| 2008 | 21 | A MLE | 2 teams | — | 208 | 192 | 55 | 17 | 0 | 2 | 14 | 42 | 0 | 0 | 0 | 286 | 332 | 406 | 738 | 120 | 351 | 20 | 7 | 323 | 105 | — | — | — | — | — | — |
| 2009 | 22 | AA MLE | New Hampshire Fisher Cats | — | 538 | 490 | 119 | 29 | 0 | 8 | 41 | 112 | 2 | 0 | 0 | 243 | 303 | 351 | 654 | 108 | 292 | 21 | 8 | 290 | 82 | — | — | — | — | — | — |
| 2010 | 23 | AA MLE | 2 teams | — | 571 | 528 | 118 | 28 | 1 | 17 | 37 | 94 | 1 | 0 | 0 | 223 | 274 | 377 | 651 | 153 | 237 | 16 | 6 | 282 | 77 | — | — | — | — | — | — |
| 2011 | 24 | AAA MLE | 2 teams | — | 626 | 566 | 170 | 48 | 1 | 8 | 52 | 70 | 3 | 1 | 3 | 300 | 366 | 431 | 797 | 131 | 322 | 11 | 8 | 355 | 126 | — | — | — | — | — | — |
| 2012 | 25 | AAA MLE | 2 teams | — | 449 | 415 | 115 | 32 | 1 | 12 | 29 | 66 | 2 | 0 | 2 | 277 | 329 | 446 | 775 | 169 | 298 | 15 | 6 | 340 | 116 | — | — | — | — | — | — |
| 2013 | 26 | AAA MLE | 2 teams | — | 55 | 52 | 13 | 2 | 0 | 0 | 3 | 4 | 0 | 0 | 0 | 250 | 291 | 288 | 579 | 38 | 270 | 7 | 5 | 257 | 60 | — | — | — | — | — | — |
| 2014 | 27 | AAA MLE | Columbus Clippers | — | 163 | 148 | 30 | 6 | 0 | 0 | 14 | 16 | 0 | 0 | 0 | 203 | 270 | 243 | 513 | 41 | 221 | 10 | 9 | 229 | 41 | — | — | — | — | — | — |
| 2015 | 28 | AA MLE | Binghamton Mets | — | 40 | 37 | 5 | 2 | 0 | 0 | 3 | 11 | 0 | 0 | 0 | 135 | 200 | 189 | 389 | 54 | 167 | 28 | 8 | 166 | -1 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 226 | 211 | 57 | 18 | 0 | 6 | 11 | 36 | 2 | 0 | 1 | 270 | 312 | 441 | 753 | 171 | 298 | 16 | 5 | 330 | 95 | +3 | -0 | -4 | -19 | +5 | -1.7 | |
| / 162G | — | A+C | — | 650 | 607 | 164 | 52 | 0 | 17 | 32 | 104 | 6 | 0 | 3 | 270 | 314 | 440 | 754 | 170 | 299 | 16 | 5 | 330 | 95 | +7 | -1 | -12 | -55 | +14 | -4.8 | |
| Career | — | MLE | — | 2650 | 2427 | 625 | 164 | 3 | 47 | 193 | 415 | 8 | 1 | 5 | 258 | 314 | 386 | 700 | 128 | 291 | 16 | 7 | 308 | 95 | +3 | -0 | -4 | -19 | +5 | -1.7 | |
| / 162G | — | MLE | — | 650 | 595 | 154 | 40 | 1 | 12 | 47 | 102 | 2 | 0 | 1 | 259 | 315 | 390 | 705 | 131 | 292 | 16 | 7 | 308 | 95 | +7 | -1 | -12 | -55 | +14 | -4.8 | |
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.
2015 AABinghamton Mets · 40 PAwOBA .214 → .166 (−48)K% 22.5% → 28.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.50% | ÷0.974 | ×1.220 | — | — | 28.19% |
| BB% (unintentional) /PA | 12.50% | ÷0.988 | ×0.700 | — | ×0.968 | 8.57% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.968 | 0.00% |
| Singles /BIP | 11.54% | ÷1.030 | ×0.970 | — | ×0.968 | 10.52% |
| Doubles /BIP | 7.69% | ÷1.034 | ×0.860 | — | ×0.968 | 6.19% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.950 | — | ×0.968 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.088 | ×0.780 | — | ×0.968 | 0.00% |
Factors used: league row EL. Park (home-season share, regressed): HR 118, 1B 106, 2B 107, 3B 80, K 95, BB 98 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).
Result: wOBA .214 → .166; ISO .057 → .045; BABIP .192 → .167. 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 AAAColumbus Clippers · 163 PAwOBA .273 → .229 (−44)K% 8.6% → 10.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 8.59% | ÷1.016 | ×1.200 | — | — | 10.14% |
| BB% (unintentional) /PA | 12.27% | ÷1.015 | ×0.690 | — | ×1.003 | 8.36% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.003 | 0.00% |
| Singles /BIP | 19.38% | ÷1.034 | ×0.930 | ×1.015 | ×1.003 | 17.75% |
| Doubles /BIP | 5.43% | ÷1.047 | ×0.830 | ×1.015 | ×1.003 | 4.38% |
| Triples /BIP | 0.00% | ÷1.007 | ×0.970 | ×1.015 | ×1.003 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.028 | ×0.840 | — | ×1.003 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 106, 1B 107, 2B 109, 3B 102, K 103, BB 103 — 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 ×1.015.
Result: wOBA .273 → .229; ISO .049 → .041; BABIP .248 → .221. 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 AAAColumbus Clippers · 28 PAwOBA .206 → .188 (−18)K% 7.1% → 8.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.14% | ÷1.013 | ×1.200 | — | — | 8.46% |
| BB% (unintentional) /PA | 7.14% | ÷0.986 | ×0.690 | — | ×1.018 | 5.09% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 20.83% | ÷0.980 | ×0.930 | — | ×1.018 | 20.12% |
| Doubles /BIP | 0.00% | ÷0.933 | ×0.830 | — | ×1.018 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | — | ×1.018 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.111 | ×0.840 | — | ×1.018 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 122, 1B 96, 2B 87, 3B 80, K 103, BB 97 — 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).
Result: wOBA .206 → .188; ISO .000 → .000; BABIP .208 → .201. 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 ROKAZL Indians · 27 PAwOBA .450 → .329 (−121)K% 3.7% → 5.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 3.70% | ÷1.000 | ×1.440 | — | — | 5.33% |
| BB% (unintentional) /PA | 7.41% | ÷1.000 | ×0.620 | — | ×0.940 | 4.32% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.940 | 0.00% |
| Singles /BIP | 33.33% | ÷1.000 | ×0.820 | — | ×0.940 | 25.69% |
| Doubles /BIP | 12.50% | ÷1.000 | ×0.720 | — | ×0.940 | 8.46% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.940 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.940 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 26 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (6.5 yr older than average).
Result: wOBA .450 → .329; ISO .120 → .083; BABIP .458 → .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).
2012 AAALas Vegas 51s · 304 PAwOBA .398 → .336 (−62)K% 11.2% → 14.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.18% | ÷1.004 | ×1.290 | — | — | 14.37% |
| BB% (unintentional) /PA | 10.86% | ÷0.985 | ×0.710 | — | ×1.033 | 8.09% |
| HBP% /PA | 0.33% | — | ×0.980 | — | ×1.033 | 0.33% |
| Singles /BIP | 19.38% | ÷0.985 | ×0.900 | ×0.996 | ×1.033 | 18.22% |
| Doubles /BIP | 11.89% | ÷1.085 | ×0.810 | ×0.996 | ×1.033 | 9.14% |
| Triples /BIP | 0.44% | ÷0.994 | ×0.810 | ×0.996 | ×1.033 | 0.37% |
| Home runs /BIP | 4.41% | ÷1.059 | ×0.780 | — | ×1.033 | 3.35% |
Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 97, 2B 117, 3B 99, K 101, BB 97 — 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 ×0.996.
Result: wOBA .398 → .336; ISO .226 → .179; BABIP .324 → .281. 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 AAALas Vegas 51s · 545 PAwOBA .420 → .363 (−57)K% 7.9% → 10.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.89% | ÷0.992 | ×1.290 | — | — | 10.26% |
| BB% (unintentional) /PA | 11.19% | ÷0.998 | ×0.710 | — | ×1.048 | 8.34% |
| HBP% /PA | 0.37% | — | ×0.980 | — | ×1.048 | 0.38% |
| Singles /BIP | 25.71% | ÷0.974 | ×0.900 | ×0.978 | ×1.048 | 24.35% |
| Doubles /BIP | 12.03% | ÷1.082 | ×0.810 | ×0.978 | ×1.048 | 9.24% |
| Triples /BIP | 0.24% | ÷1.123 | ×0.810 | ×0.978 | ×1.048 | 0.17% |
| Home runs /BIP | 2.12% | ÷1.200 | ×0.780 | — | ×1.048 | 1.45% |
Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 95, 2B 116, 3B 125, K 98, BB 100 — 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 ×0.978.
Result: wOBA .420 → .363; ISO .171 → .132; BABIP .380 → .336. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2010 AANew Hampshire Fisher Cats · 553 PAwOBA .332 → .282 (−50)K% 13.4% → 16.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.38% | ÷0.994 | ×1.220 | — | — | 16.43% |
| BB% (unintentional) /PA | 9.22% | ÷1.016 | ×0.700 | — | ×1.027 | 6.52% |
| HBP% /PA | 0.18% | — | ×0.850 | — | ×1.027 | 0.16% |
| Singles /BIP | 18.16% | ÷1.050 | ×0.970 | ×0.950 | ×1.027 | 16.36% |
| Doubles /BIP | 7.08% | ÷0.935 | ×0.860 | ×0.950 | ×1.027 | 6.35% |
| Triples /BIP | 0.24% | ÷1.150 | ×0.950 | ×0.950 | ×1.027 | 0.19% |
| Home runs /BIP | 4.72% | ÷0.957 | ×0.780 | — | ×1.027 | 3.95% |
Factors used: league row EL. Park (home-season share, regressed): HR 91, 1B 110, 2B 87, 3B 130, K 99, BB 103 — 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 ×0.950.
Result: wOBA .332 → .282; ISO .185 → .159; BABIP .266 → .237. 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).
2009 AANew Hampshire Fisher Cats · 538 PAwOBA .321 → .290 (−31)K% 17.1% → 20.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.10% | ÷1.000 | ×1.220 | — | — | 20.86% |
| BB% (unintentional) /PA | 10.41% | ÷1.000 | ×0.700 | — | ×1.042 | 7.59% |
| HBP% /PA | 0.37% | — | ×0.850 | — | ×1.042 | 0.33% |
| Singles /BIP | 21.00% | ÷1.000 | ×0.970 | ×1.006 | ×1.042 | 21.35% |
| Doubles /BIP | 8.40% | ÷1.000 | ×0.860 | ×1.006 | ×1.042 | 7.57% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.950 | ×1.006 | ×1.042 | 0.00% |
| Home runs /BIP | 2.62% | ÷1.000 | ×0.780 | — | ×1.042 | 2.13% |
Factors used: league row EL. 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 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 ×1.006.
Result: wOBA .321 → .290; ISO .131 → .113; BABIP .299 → .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 — .