Jose R. Flores
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2019 | 31 | INTLAguilas del Z… | 113 | .224/.315/.255 | 0 | 1 | 67 | — |
| 2020 | 32 | INTLTigres de Ara… | 45 | .229/.386/.286 | 0 | 0 | 101 | — |
| 2021 | 33 | INTLLeones del Ca… | 33 | .259/.394/.333 | 0 | 0 | 118 | — |
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) | |||||||||||||||||||||||||||||||
| 2006 | 18 | ROK | AZL Giants | — | 140 | 128 | 37 | 1 | 0 | 1 | 7 | 14 | 2 | 4 | 1 | 289 | 336 | 320 | 656 | 31 | 313 | 10 | 5 | 296 | 43 | — | — | — | — | — | — |
| 2009 | 21 | A | Augusta GreenJackets | — | 55 | 49 | 6 | 1 | 0 | 0 | 6 | 10 | 0 | 1 | 0 | 122 | 218 | 143 | 361 | 20 | 154 | 18 | 11 | 182 | -17 | — | — | — | — | — | — |
| 2010 | 22 | A+ | San Jose Giants | — | 390 | 359 | 119 | 15 | 6 | 6 | 25 | 41 | 4 | 9 | 6 | 331 | 381 | 457 | 838 | 125 | 362 | 11 | 6 | 372 | 105 | — | — | — | — | — | — |
| 2010 | 22 | INTL | Aguilas del Zulia | — | 51 | 47 | 12 | 1 | 0 | 0 | 3 | 5 | 0 | 1 | 0 | 255 | 300 | 277 | 577 | 21 | 286 | 10 | 6 | 261 | 63 | — | — | — | — | — | — |
| 2011 | 23 | AA | Richmond Flying Squirrels | — | 207 | 189 | 38 | 1 | 3 | 3 | 14 | 30 | 2 | 5 | 1 | 201 | 263 | 286 | 549 | 85 | 224 | 14 | 7 | 250 | 28 | — | — | — | — | — | — |
| 2011 | 23 | A+ | San Jose Giants | — | 208 | 180 | 42 | 9 | 0 | 2 | 25 | 35 | 1 | 0 | 0 | 233 | 330 | 317 | 647 | 83 | 276 | 17 | 12 | 298 | 57 | — | — | — | — | — | — |
| 2011 | 23 | INTL | Aguilas del Zulia | — | 72 | 62 | 15 | 2 | 0 | 0 | 6 | 13 | 2 | 1 | 1 | 242 | 329 | 274 | 603 | 32 | 300 | 18 | 8 | 278 | 74 | — | — | — | — | — | — |
| 2012 | 24 | AA | Richmond Flying Squirrels | — | 59 | 52 | 12 | 2 | 0 | 0 | 4 | 7 | 2 | 2 | 0 | 231 | 310 | 269 | 580 | 38 | 261 | 12 | 7 | 269 | 55 | — | — | — | — | — | — |
| 2012 | 24 | A | Augusta GreenJackets | — | 360 | 324 | 87 | 21 | 1 | 2 | 29 | 53 | 0 | 4 | 5 | 269 | 329 | 358 | 687 | 90 | 309 | 15 | 8 | 306 | 60 | — | — | — | — | — | — |
| 2012 | 24 | INTL | Aguilas del Zulia | — | 189 | 166 | 51 | 8 | 0 | 1 | 18 | 25 | 2 | 3 | 0 | 307 | 382 | 373 | 755 | 66 | 355 | 13 | 10 | 341 | 117 | — | — | — | — | — | — |
| 2013 | 25 | INTL | Aguilas del Zulia | — | 206 | 171 | 54 | 7 | 3 | 4 | 24 | 28 | 6 | 4 | 2 | 316 | 418 | 462 | 880 | 146 | 357 | 14 | 12 | 386 | 147 | — | — | — | — | — | — |
| 2014 | 26 | INTL | Aguilas del Zulia | — | 80 | 66 | 16 | 2 | 1 | 0 | 11 | 10 | 0 | 0 | 1 | 242 | 351 | 303 | 654 | 61 | 276 | 12 | 14 | 295 | 86 | — | — | — | — | — | — |
| 2015 | 27 | INTL | Aguilas del Zulia | — | 113 | 98 | 25 | 5 | 1 | 1 | 12 | 14 | 0 | 0 | 1 | 255 | 336 | 357 | 694 | 102 | 282 | 12 | 11 | 308 | 94 | — | — | — | — | — | — |
| 2016 | 28 | INTL | Venezuela | — | 64 | 58 | 15 | 4 | 0 | 0 | 6 | 10 | 0 | 0 | 0 | 259 | 328 | 328 | 656 | 69 | 312 | 16 | 9 | 301 | 90 | — | — | — | — | — | — |
| 2017 | 29 | INTL | Aguilas del Zulia | — | 177 | 142 | 43 | 6 | 1 | 2 | 30 | 31 | 0 | 1 | 0 | 303 | 424 | 401 | 826 | 99 | 373 | 18 | 17 | 368 | 135 | — | — | — | — | — | — |
| 2018 | 30 | INTL | Aguilas del Zulia | — | 112 | 96 | 24 | 2 | 0 | 0 | 16 | 12 | 0 | 2 | 0 | 250 | 357 | 271 | 628 | 21 | 286 | 11 | 14 | 300 | 89 | — | — | — | — | — | — |
| 2019 | 31 | INTL | Aguilas del Zulia | — | 113 | 98 | 22 | 3 | 0 | 0 | 13 | 17 | 0 | 1 | 1 | 224 | 315 | 255 | 570 | 31 | 265 | 15 | 12 | 267 | 67 | — | — | — | — | — | — |
| 2020 | 32 | INTL | Tigres de Aragua | — | 45 | 35 | 8 | 2 | 0 | 0 | 9 | 9 | 0 | 0 | 0 | 229 | 386 | 286 | 672 | 57 | 308 | 20 | 20 | 317 | 101 | — | — | — | — | — | — |
| 2021 | 33 | INTL | Leones del Caracas | — | 33 | 27 | 7 | 2 | 0 | 0 | 5 | 3 | 1 | 0 | 1 | 259 | 394 | 333 | 727 | 74 | 292 | 9 | 15 | 343 | 118 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2006 | 18 | ROK MLE | AZL Giants | — | 140 | 131 | 31 | 1 | 0 | 1 | 4 | 20 | 2 | 4 | 1 | 237 | 270 | 267 | 537 | 31 | 258 | 14 | 3 | 232 | 43 | — | — | — | — | — | — |
| 2009 | 21 | A MLE | Augusta GreenJackets | — | 55 | 51 | 6 | 1 | 0 | 0 | 4 | 13 | 0 | 1 | 0 | 118 | 182 | 137 | 319 | 20 | 146 | 24 | 7 | 143 | -17 | — | — | — | — | — | — |
| 2010 | 22 | A+ MLE | San Jose Giants | — | 390 | 367 | 111 | 14 | 4 | 5 | 17 | 57 | 4 | 9 | 6 | 302 | 340 | 403 | 743 | 101 | 344 | 15 | 4 | 324 | 105 | — | — | — | — | — | — |
| 2011 | 23 | AA MLE | Richmond Flying Squirrels | — | 207 | 194 | 36 | 1 | 3 | 2 | 9 | 38 | 2 | 5 | 1 | 186 | 229 | 253 | 482 | 67 | 212 | 18 | 4 | 209 | 28 | — | — | — | — | — | — |
| 2011 | 23 | A+ MLE | San Jose Giants | — | 208 | 186 | 39 | 8 | 0 | 2 | 19 | 48 | 1 | 0 | 0 | 210 | 286 | 285 | 571 | 75 | 259 | 23 | 9 | 253 | 57 | — | — | — | — | — | — |
| 2012 | 24 | AA MLE | Richmond Flying Squirrels | — | 59 | 53 | 12 | 2 | 0 | 0 | 3 | 9 | 2 | 2 | 0 | 226 | 293 | 264 | 557 | 38 | 256 | 15 | 5 | 250 | 55 | — | — | — | — | — | — |
| 2012 | 24 | A MLE | Augusta GreenJackets | — | 360 | 334 | 78 | 18 | 1 | 2 | 19 | 66 | 0 | 4 | 5 | 234 | 275 | 311 | 586 | 78 | 274 | 18 | 5 | 257 | 60 | — | — | — | — | — | — |
| 2006 | 18 | ROK MLE | AZL Giants | — | 140 | 131 | 31 | 1 | 0 | 1 | 4 | 20 | 2 | 4 | 1 | 237 | 270 | 267 | 537 | 31 | 268 | 14 | 3 | 232 | 43 | — | — | — | — | — | — |
| 2006 | 18 | ROK RAW | AZL Giants | — | 140 | 128 | 37 | 1 | 0 | 1 | 7 | 14 | 2 | 4 | 1 | 289 | 336 | 320 | 656 | 31 | 313 | 10 | 5 | 296 | 43 | — | — | — | — | — | — |
| 2009 | 21 | A MLE | Augusta GreenJackets | — | 55 | 51 | 6 | 1 | 0 | 0 | 4 | 13 | 0 | 1 | 0 | 118 | 182 | 137 | 319 | 20 | 158 | 24 | 7 | 143 | -17 | — | — | — | — | — | — |
| 2009 | 21 | A RAW | Augusta GreenJackets | — | 55 | 49 | 6 | 1 | 0 | 0 | 6 | 10 | 0 | 1 | 0 | 122 | 218 | 143 | 361 | 20 | 154 | 18 | 11 | 182 | -17 | — | — | — | — | — | — |
| 2010 | 22 | A+ MLE | 2 teams | — | 441 | 415 | 126 | 15 | 5 | 6 | 19 | 64 | 4 | 10 | 6 | 304 | 340 | 407 | 747 | 104 | 348 | 15 | 4 | 324 | 105 | — | — | — | — | — | — |
| 2010 | 22 | A+ RAW | 2 teams | — | 441 | 406 | 131 | 16 | 6 | 6 | 28 | 46 | 4 | 10 | 6 | 323 | 372 | 436 | 808 | 113 | 353 | 10 | 6 | 359 | 105 | — | — | — | — | — | — |
| 2011 | 23 | A+ MLE | 3 teams | — | 487 | 443 | 86 | 10 | 3 | 5 | 33 | 100 | 5 | 6 | 2 | 194 | 258 | 264 | 522 | 70 | 238 | 21 | 7 | 231 | 43 | — | — | — | — | — | — |
| 2011 | 23 | A+ RAW | 3 teams | — | 487 | 431 | 95 | 12 | 3 | 5 | 45 | 78 | 5 | 6 | 2 | 220 | 301 | 297 | 598 | 77 | 256 | 16 | 9 | 274 | 43 | — | — | — | — | — | — |
| 2012 | 24 | A MLE | 3 teams | — | 608 | 561 | 130 | 29 | 1 | 2 | 32 | 108 | 4 | 9 | 5 | 232 | 278 | 298 | 576 | 66 | 279 | 18 | 5 | 256 | 59 | — | — | — | — | — | — |
| 2012 | 24 | A RAW | 3 teams | — | 608 | 542 | 150 | 31 | 1 | 3 | 51 | 85 | 4 | 9 | 5 | 277 | 343 | 354 | 698 | 77 | 318 | 14 | 8 | 313 | 59 | — | — | — | — | — | — |
| 2013 | 25 | INTL MLE | Aguilas del Zulia | — | 206 | 171 | 54 | 7 | 3 | 4 | 24 | 28 | 6 | 4 | 2 | 316 | 418 | 462 | 880 | 146 | 357 | 14 | 12 | — | — | — | — | — | — | — | — |
| 2013 | 25 | INTL RAW | Aguilas del Zulia | — | 206 | 171 | 54 | 7 | 3 | 4 | 24 | 28 | 6 | 4 | 2 | 316 | 418 | 462 | 880 | 146 | 357 | 14 | 12 | 386 | 147 | — | — | — | — | — | — |
| 2014 | 26 | INTL MLE | Aguilas del Zulia | — | 80 | 66 | 16 | 2 | 1 | 0 | 11 | 10 | 0 | 0 | 1 | 242 | 351 | 303 | 654 | 61 | 276 | 12 | 14 | — | — | — | — | — | — | — | — |
| 2014 | 26 | INTL RAW | Aguilas del Zulia | — | 80 | 66 | 16 | 2 | 1 | 0 | 11 | 10 | 0 | 0 | 1 | 242 | 351 | 303 | 654 | 61 | 276 | 12 | 14 | 295 | 86 | — | — | — | — | — | — |
| 2015 | 27 | INTL MLE | Aguilas del Zulia | — | 113 | 98 | 25 | 5 | 1 | 1 | 12 | 14 | 0 | 0 | 1 | 255 | 336 | 357 | 694 | 102 | 282 | 12 | 11 | — | — | — | — | — | — | — | — |
| 2015 | 27 | INTL RAW | Aguilas del Zulia | — | 113 | 98 | 25 | 5 | 1 | 1 | 12 | 14 | 0 | 0 | 1 | 255 | 336 | 357 | 694 | 102 | 282 | 12 | 11 | 308 | 94 | — | — | — | — | — | — |
| 2016 | 28 | INTL MLE | Venezuela | — | 64 | 58 | 15 | 4 | 0 | 0 | 6 | 10 | 0 | 0 | 0 | 259 | 328 | 328 | 656 | 69 | 312 | 16 | 9 | — | — | — | — | — | — | — | — |
| 2016 | 28 | INTL RAW | Venezuela | — | 64 | 58 | 15 | 4 | 0 | 0 | 6 | 10 | 0 | 0 | 0 | 259 | 328 | 328 | 656 | 69 | 312 | 16 | 9 | 301 | 90 | — | — | — | — | — | — |
| 2017 | 29 | INTL MLE | Aguilas del Zulia | — | 177 | 142 | 43 | 6 | 1 | 2 | 30 | 31 | 0 | 1 | 0 | 303 | 424 | 401 | 826 | 99 | 373 | 18 | 17 | — | — | — | — | — | — | — | — |
| 2017 | 29 | INTL RAW | Aguilas del Zulia | — | 177 | 142 | 43 | 6 | 1 | 2 | 30 | 31 | 0 | 1 | 0 | 303 | 424 | 401 | 826 | 99 | 373 | 18 | 17 | 368 | 135 | — | — | — | — | — | — |
| 2018 | 30 | INTL MLE | Aguilas del Zulia | — | 112 | 96 | 24 | 2 | 0 | 0 | 16 | 12 | 0 | 2 | 0 | 250 | 357 | 271 | 628 | 21 | 286 | 11 | 14 | — | — | — | — | — | — | — | — |
| 2018 | 30 | INTL RAW | Aguilas del Zulia | — | 112 | 96 | 24 | 2 | 0 | 0 | 16 | 12 | 0 | 2 | 0 | 250 | 357 | 271 | 628 | 21 | 286 | 11 | 14 | 300 | 89 | — | — | — | — | — | — |
| 2019 | 31 | INTL MLE | Aguilas del Zulia | — | 113 | 98 | 22 | 3 | 0 | 0 | 13 | 17 | 0 | 1 | 1 | 224 | 315 | 255 | 570 | 31 | 265 | 15 | 12 | — | — | — | — | — | — | — | — |
| 2019 | 31 | INTL RAW | Aguilas del Zulia | — | 113 | 98 | 22 | 3 | 0 | 0 | 13 | 17 | 0 | 1 | 1 | 224 | 315 | 255 | 570 | 31 | 265 | 15 | 12 | 267 | 67 | — | — | — | — | — | — |
| 2020 | 32 | INTL MLE | Tigres de Aragua | — | 45 | 35 | 8 | 2 | 0 | 0 | 9 | 9 | 0 | 0 | 0 | 229 | 386 | 286 | 672 | 57 | 308 | 20 | 20 | — | — | — | — | — | — | — | — |
| 2020 | 32 | INTL RAW | Tigres de Aragua | — | 45 | 35 | 8 | 2 | 0 | 0 | 9 | 9 | 0 | 0 | 0 | 229 | 386 | 286 | 672 | 57 | 308 | 20 | 20 | 317 | 101 | — | — | — | — | — | — |
| 2021 | 33 | INTL MLE | Leones del Caracas | — | 33 | 27 | 7 | 2 | 0 | 0 | 5 | 3 | 1 | 0 | 1 | 259 | 394 | 333 | 727 | 74 | 292 | 9 | 15 | — | — | — | — | — | — | — | — |
| 2021 | 33 | INTL RAW | Leones del Caracas | — | 33 | 27 | 7 | 2 | 0 | 0 | 5 | 3 | 1 | 0 | 1 | 259 | 394 | 333 | 727 | 74 | 292 | 9 | 15 | 343 | 118 | — | — | — | — | — | — |
| 2006 | 18 | ROK MLE | AZL Giants | — | 140 | 133 | 31 | 1 | 0 | 1 | 4 | 20 | 2 | 4 | 1 | 233 | 270 | 263 | 533 | 30 | 258 | 14 | 3 | 232 | 43 | — | — | — | — | — | — |
| 2009 | 21 | A MLE | Augusta GreenJackets | — | 55 | 51 | 6 | 1 | 0 | 0 | 4 | 13 | 0 | 1 | 0 | 118 | 182 | 137 | 319 | 20 | 146 | 24 | 7 | 143 | -17 | — | — | — | — | — | — |
| 2010 | 22 | A+ MLE | 2 teams | — | 441 | 415 | 126 | 15 | 5 | 6 | 19 | 64 | 4 | 10 | 6 | 304 | 340 | 407 | 747 | 104 | 344 | 15 | 4 | 324 | 105 | — | — | — | — | — | — |
| 2011 | 23 | A+ MLE | 3 teams | — | 487 | 446 | 86 | 10 | 3 | 5 | 33 | 100 | 5 | 6 | 2 | 193 | 258 | 262 | 520 | 70 | 236 | 21 | 7 | 231 | 43 | — | — | — | — | — | — |
| 2012 | 24 | A MLE | 3 teams | — | 608 | 567 | 130 | 29 | 1 | 2 | 32 | 108 | 4 | 9 | 5 | 229 | 278 | 295 | 573 | 65 | 271 | 18 | 5 | 256 | 59 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2674 | 2392 | 593 | 89 | 15 | 21 | 218 | 439 | 22 | 38 | 20 | 248 | 316 | 324 | 640 | 76 | 293 | 16 | 8 | 169 | 0 | -317 | -0 | +0 | +10 | +58 | -25.5 | |
| / 162G | — | MLE | — | 650 | 581 | 145 | 22 | 4 | 5 | 53 | 107 | 5 | 9 | 5 | 250 | 317 | 327 | 644 | 77 | 295 | 16 | 8 | 169 | 0 | -77 | -0 | +0 | +2 | +14 | -6.2 | |
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.
2012 AAugusta GreenJackets · 360 PAwOBA .302 → .257 (−44)K% 14.7% → 18.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.72% | ÷1.083 | ×1.340 | — | — | 18.22% |
| BB% (unintentional) /PA | 7.78% | ÷0.944 | ×0.660 | — | ×0.970 | 5.28% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.970 | 0.00% |
| Singles /BIP | 23.25% | ÷1.003 | ×0.920 | ×1.007 | ×0.970 | 20.85% |
| Doubles /BIP | 7.75% | ÷0.943 | ×0.820 | ×1.007 | ×0.970 | 6.59% |
| Triples /BIP | 0.37% | ÷0.909 | ×0.940 | ×1.007 | ×0.970 | 0.37% |
| Home runs /BIP | 0.74% | ÷1.066 | ×0.820 | — | ×0.970 | 0.55% |
Factors used: league row SAL. Park (home-season share, regressed): HR 113, 1B 101, 2B 89, 3B 82, K 117, BB 89 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .302 → .257; ISO .090 → .076; BABIP .309 → .274. 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 AARichmond Flying Squirrels · 59 PAwOBA .267 → .250 (−18)K% 11.9% → 14.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.86% | ÷0.992 | ×1.220 | — | — | 14.59% |
| BB% (unintentional) /PA | 6.78% | ÷0.950 | ×0.700 | — | ×0.998 | 4.99% |
| HBP% /PA | 3.39% | — | ×0.850 | — | ×0.998 | 2.88% |
| Singles /BIP | 22.22% | ÷1.023 | ×0.970 | ×1.050 | ×0.998 | 22.08% |
| Doubles /BIP | 4.44% | ÷0.979 | ×0.860 | ×1.050 | ×0.998 | 4.09% |
| Triples /BIP | 0.00% | ÷1.011 | ×0.950 | ×1.050 | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.031 | ×0.780 | — | ×0.998 | 0.00% |
Factors used: league row EL. Park (home-season share, regressed): HR 106, 1B 105, 2B 96, 3B 102, K 98, BB 90 — 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 ×1.050.
Result: wOBA .267 → .250; ISO .038 → .036; BABIP .261 → .256. 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 A+San Jose Giants · 208 PAwOBA .294 → .253 (−40)K% 16.8% → 23.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.83% | ÷0.981 | ×1.340 | — | — | 22.99% |
| BB% (unintentional) /PA | 12.02% | ÷0.926 | ×0.710 | — | ×0.988 | 9.11% |
| HBP% /PA | 0.48% | — | ×0.790 | — | ×0.988 | 0.38% |
| Singles /BIP | 21.38% | ÷0.991 | ×0.910 | ×1.050 | ×0.988 | 20.36% |
| Doubles /BIP | 6.21% | ÷0.951 | ×0.820 | ×1.050 | ×0.988 | 5.55% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.760 | ×1.050 | ×0.988 | 0.00% |
| Home runs /BIP | 1.38% | ÷0.972 | ×0.920 | — | ×0.988 | 1.29% |
Factors used: league row CAL. Park (home-season share, regressed): HR 94, 1B 98, 2B 90, 3B 80, K 96, BB 85 — 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 ×1.050.
Result: wOBA .294 → .253; ISO .083 → .074; BABIP .276 → .259. 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 AARichmond Flying Squirrels · 207 PAwOBA .243 → .209 (−34)K% 14.5% → 18.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.49% | ÷0.974 | ×1.220 | — | — | 18.15% |
| BB% (unintentional) /PA | 6.76% | ÷1.081 | ×0.700 | — | ×1.012 | 4.43% |
| HBP% /PA | 0.97% | — | ×0.850 | — | ×1.012 | 0.83% |
| Singles /BIP | 19.50% | ÷1.075 | ×0.970 | ×1.050 | ×1.012 | 18.70% |
| Doubles /BIP | 0.63% | ÷1.048 | ×0.860 | ×1.050 | ×1.012 | 0.55% |
| Triples /BIP | 1.89% | ÷1.140 | ×0.950 | ×1.050 | ×1.012 | 1.67% |
| Home runs /BIP | 1.89% | ÷1.081 | ×0.780 | — | ×1.012 | 1.38% |
Factors used: league row EL. Park (home-season share, regressed): HR 116, 1B 115, 2B 110, 3B 128, K 95, 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 ×1.050.
Result: wOBA .243 → .209; ISO .085 → .067; BABIP .224 → .212. 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 A+San Jose Giants · 390 PAwOBA .361 → .324 (−37)K% 10.5% → 14.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.51% | ÷0.972 | ×1.340 | — | — | 14.49% |
| BB% (unintentional) /PA | 6.15% | ÷0.990 | ×0.710 | — | ×0.998 | 4.40% |
| HBP% /PA | 1.03% | — | ×0.790 | — | ×0.998 | 0.81% |
| Singles /BIP | 28.93% | ÷0.980 | ×0.910 | ×1.050 | ×0.998 | 28.15% |
| Doubles /BIP | 4.72% | ÷0.939 | ×0.820 | ×1.050 | ×0.998 | 4.32% |
| Triples /BIP | 1.89% | ÷1.085 | ×0.760 | ×1.050 | ×0.998 | 1.38% |
| Home runs /BIP | 1.89% | ÷1.016 | ×0.920 | — | ×0.998 | 1.70% |
Factors used: league row CAL. Park (home-season share, regressed): HR 103, 1B 96, 2B 88, 3B 117, K 94, BB 98 — 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 ×1.050.
Result: wOBA .361 → .324; ISO .125 → .106; BABIP .362 → .344. 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 AAugusta GreenJackets · 55 PAwOBA .178 → .143 (−35)K% 18.2% → 24.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.18% | ÷1.000 | ×1.340 | — | — | 24.36% |
| BB% (unintentional) /PA | 10.91% | ÷1.000 | ×0.660 | — | — | 7.20% |
| HBP% /PA | 0.00% | — | ×0.770 | — | — | 0.00% |
| Singles /BIP | 12.82% | ÷1.000 | ×0.920 | ×1.050 | — | 12.38% |
| Doubles /BIP | 2.56% | ÷1.000 | ×0.820 | ×1.050 | — | 2.21% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.940 | ×1.050 | — | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.820 | — | — | 0.00% |
Factors used: league row SAL. 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 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .178 → .143; ISO .020 → .017; BABIP .154 → .146. 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).
2006 ROKAZL Giants · 140 PAwOBA .292 → .232 (−60)K% 10.0% → 14.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.00% | ÷1.000 | ×1.440 | — | — | 14.40% |
| BB% (unintentional) /PA | 5.00% | ÷1.000 | ×0.620 | — | ×1.008 | 3.12% |
| HBP% /PA | 1.43% | — | ×0.720 | — | ×1.008 | 1.04% |
| Singles /BIP | 30.70% | ÷1.000 | ×0.820 | ×1.001 | ×1.008 | 25.40% |
| Doubles /BIP | 0.88% | ÷1.000 | ×0.720 | ×1.001 | ×1.008 | 0.64% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.001 | ×1.008 | 0.00% |
| Home runs /BIP | 0.88% | ÷1.000 | ×0.780 | — | ×1.008 | 0.69% |
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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.
Result: wOBA .292 → .232; ISO .031 → .024; BABIP .313 → .258. 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 — .