Chuck Taylor
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 24 | AA/INTL2 orgs | 650 | .287/.373/.359 | 3 | 3 | 77 | — | .257/.314/.329 |
| 2019 | 25 | AAA/AA2 orgs | 442 | .229/.311/.372 | 12 | 1 | 47 | — | .187/.248/.285 |
| 2021 | 27 | INTLYaquis de Obr… | 20 | .188/.350/.188 | 0 | 0 | 74 | — |
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 | 18 | ROK | ACL D-backs | — | 233 | 205 | 48 | 7 | 2 | 0 | 20 | 55 | 3 | 16 | 7 | 234 | 311 | 288 | 599 | 54 | 318 | 24 | 9 | 273 | 20 | — | — | — | — | — | — |
| 2013 | 19 | ROK | Missoula Osprey | — | 257 | 220 | 64 | 12 | 3 | 3 | 28 | 47 | 7 | 3 | 5 | 291 | 388 | 414 | 802 | 123 | 355 | 18 | 11 | 361 | 65 | — | — | — | — | — | — |
| 2014 | 20 | A | South Bend Silver Hawks | — | 472 | 400 | 114 | 17 | 4 | 3 | 60 | 74 | 5 | 11 | 6 | 285 | 385 | 370 | 755 | 85 | 337 | 16 | 13 | 342 | 84 | — | — | — | — | — | — |
| 2015 | 21 | A+ | Visalia Rawhide | — | 204 | 179 | 42 | 7 | 3 | 2 | 22 | 45 | 2 | 4 | 7 | 235 | 325 | 341 | 666 | 106 | 301 | 22 | 11 | 304 | 42 | — | — | — | — | — | — |
| 2015 | 21 | A | Kane County Cougars | — | 331 | 289 | 81 | 7 | 2 | 0 | 28 | 48 | 7 | 8 | 3 | 280 | 358 | 318 | 676 | 38 | 331 | 15 | 8 | 308 | 61 | — | — | — | — | — | — |
| 2015 | 21 | INTL | Sydney Blue Sox | — | 17 | 12 | 2 | 0 | 0 | 0 | 4 | 2 | 1 | 1 | 1 | 167 | 412 | 167 | 578 | 200 | 12 | 24 | 314 | 99 | — | — | — | — | — | — | |
| 2016 | 22 | AA | Mobile BayBears | — | 94 | 84 | 20 | 6 | 0 | 1 | 6 | 15 | 3 | 1 | 0 | 238 | 312 | 345 | 657 | 107 | 275 | 16 | 6 | 297 | 51 | — | — | — | — | — | — |
| 2016 | 22 | A+ | Visalia Rawhide | — | 184 | 154 | 42 | 5 | 4 | 3 | 26 | 39 | 1 | 1 | 3 | 273 | 381 | 416 | 797 | 143 | 342 | 21 | 14 | 354 | 76 | — | — | — | — | — | — |
| 2017 | 23 | AA | Arkansas Travelers | — | 545 | 471 | 129 | 25 | 3 | 9 | 66 | 90 | 6 | 10 | 2 | 274 | 370 | 397 | 767 | 123 | 321 | 17 | 12 | 348 | 83 | — | — | — | — | — | — |
| 2017 | 23 | INTL | Cardenales de Lara | — | 257 | 228 | 76 | 10 | 1 | 2 | 27 | 30 | 0 | 0 | 4 | 333 | 404 | 412 | 816 | 79 | 374 | 12 | 11 | 368 | 135 | — | — | — | — | — | — |
| 2018 | 24 | AA | Arkansas Travelers | — | 575 | 502 | 149 | 25 | 3 | 3 | 61 | 79 | 7 | 2 | 2 | 297 | 381 | 376 | 757 | 80 | 344 | 14 | 11 | 344 | 79 | — | — | — | — | — | — |
| 2018 | 24 | INTL | Navegantes del Magallanes | — | 75 | 63 | 13 | 1 | 0 | 0 | 10 | 18 | 0 | 1 | 0 | 206 | 315 | 222 | 537 | 16 | 277 | 24 | 13 | 255 | 59 | — | — | — | — | — | — |
| 2019 | 25 | AAA | Fresno Grizzlies | — | 141 | 122 | 27 | 8 | 0 | 4 | 18 | 30 | 1 | 0 | 1 | 221 | 326 | 385 | 711 | 164 | 261 | 21 | 13 | 322 | 53 | — | — | — | — | — | — |
| 2019 | 25 | AA | Harrisburg Senators | — | 301 | 271 | 63 | 10 | 1 | 8 | 26 | 67 | 2 | 1 | 0 | 232 | 304 | 365 | 670 | 133 | 279 | 22 | 9 | 301 | 44 | — | — | — | — | — | — |
| 2021 | 27 | INTL | Yaquis de Obregon | — | 20 | 16 | 3 | 0 | 0 | 0 | 3 | 7 | 1 | 0 | 0 | 188 | 350 | 188 | 537 | 333 | 35 | 15 | 277 | 74 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 18 | ROK MLE | ACL D-backs | — | 233 | 212 | 37 | 5 | 1 | 0 | 13 | 79 | 3 | 16 | 7 | 175 | 232 | 208 | 440 | 33 | 268 | 34 | 6 | 198 | 20 | — | — | — | — | — | — |
| 2013 | 19 | ROK MLE | Missoula Osprey | — | 257 | 231 | 51 | 9 | 2 | 2 | 17 | 68 | 7 | 3 | 5 | 221 | 294 | 303 | 597 | 82 | 293 | 26 | 7 | 265 | 65 | — | — | — | — | — | — |
| 2014 | 20 | A MLE | South Bend Silver Hawks | — | 472 | 418 | 106 | 14 | 3 | 3 | 42 | 101 | 5 | 11 | 6 | 254 | 329 | 323 | 652 | 69 | 317 | 21 | 9 | 293 | 84 | — | — | — | — | — | — |
| 2015 | 21 | A+ MLE | Visalia Rawhide | — | 204 | 186 | 33 | 5 | 2 | 2 | 15 | 60 | 2 | 4 | 7 | 177 | 246 | 258 | 504 | 81 | 254 | 29 | 7 | 231 | 42 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | Kane County Cougars | — | 331 | 299 | 74 | 6 | 2 | 0 | 18 | 67 | 7 | 8 | 3 | 247 | 306 | 281 | 586 | 33 | 301 | 20 | 5 | 258 | 61 | — | — | — | — | — | — |
| 2016 | 22 | AA MLE | Mobile BayBears | — | 94 | 86 | 18 | 5 | 0 | 1 | 4 | 19 | 3 | 1 | 0 | 209 | 269 | 302 | 571 | 93 | 242 | 20 | 4 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | Visalia Rawhide | — | 184 | 162 | 36 | 4 | 3 | 2 | 18 | 51 | 1 | 1 | 3 | 222 | 304 | 321 | 625 | 99 | 298 | 28 | 10 | 281 | 76 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | Arkansas Travelers | — | 545 | 493 | 118 | 21 | 2 | 7 | 44 | 113 | 6 | 10 | 2 | 239 | 309 | 333 | 642 | 93 | 297 | 21 | 8 | 291 | 83 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Arkansas Travelers | — | 575 | 526 | 135 | 23 | 3 | 3 | 37 | 94 | 7 | 2 | 2 | 257 | 314 | 329 | 643 | 72 | 300 | 16 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2019 | 25 | AAA MLE | Fresno Grizzlies | — | 141 | 127 | 22 | 6 | 0 | 3 | 13 | 41 | 1 | 0 | 1 | 173 | 255 | 291 | 547 | 118 | 226 | 29 | 9 | 246 | 53 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Harrisburg Senators | — | 301 | 280 | 54 | 8 | 1 | 5 | 17 | 82 | 2 | 1 | 0 | 193 | 244 | 282 | 526 | 89 | 248 | 27 | 6 | 233 | 44 | — | — | — | — | — | — |
| 2012 | 18 | ROK MLE | ACL D-backs | — | 233 | 212 | 37 | 5 | 1 | 0 | 13 | 79 | 3 | 16 | 7 | 175 | 232 | 208 | 440 | 33 | 276 | 34 | 6 | 198 | 20 | — | — | — | — | — | — |
| 2012 | 18 | ROK RAW | ACL D-backs | — | 233 | 205 | 48 | 7 | 2 | 0 | 20 | 55 | 3 | 16 | 7 | 234 | 311 | 288 | 599 | 54 | 318 | 24 | 9 | 273 | 20 | — | — | — | — | — | — |
| 2013 | 19 | ROK MLE | Missoula Osprey | — | 257 | 231 | 51 | 9 | 2 | 2 | 17 | 68 | 7 | 3 | 5 | 221 | 294 | 303 | 597 | 82 | 301 | 26 | 7 | 265 | 65 | — | — | — | — | — | — |
| 2013 | 19 | ROK RAW | Missoula Osprey | — | 257 | 220 | 64 | 12 | 3 | 3 | 28 | 47 | 7 | 3 | 5 | 291 | 388 | 414 | 802 | 123 | 355 | 18 | 11 | 361 | 65 | — | — | — | — | — | — |
| 2014 | 20 | A MLE | South Bend Silver Hawks | — | 472 | 418 | 106 | 14 | 3 | 3 | 42 | 101 | 5 | 11 | 6 | 254 | 329 | 323 | 652 | 69 | 322 | 21 | 9 | 293 | 84 | — | — | — | — | — | — |
| 2014 | 20 | A RAW | South Bend Silver Hawks | — | 472 | 400 | 114 | 17 | 4 | 3 | 60 | 74 | 5 | 11 | 6 | 285 | 385 | 370 | 755 | 85 | 337 | 16 | 13 | 342 | 84 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | 3 teams | — | 552 | 501 | 110 | 11 | 4 | 2 | 33 | 131 | 10 | 13 | 11 | 220 | 281 | 269 | 551 | 50 | 290 | 24 | 6 | 248 | 54 | — | — | — | — | — | — |
| 2015 | 21 | A RAW | 3 teams | — | 552 | 480 | 125 | 14 | 5 | 2 | 54 | 95 | 10 | 13 | 11 | 260 | 347 | 323 | 670 | 62 | 317 | 17 | 10 | 307 | 54 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | 2 teams | — | 278 | 247 | 54 | 9 | 3 | 3 | 23 | 70 | 4 | 2 | 3 | 219 | 296 | 316 | 611 | 97 | 288 | 25 | 8 | 268 | 68 | — | — | — | — | — | — |
| 2016 | 22 | A+ RAW | 2 teams | — | 278 | 238 | 62 | 11 | 4 | 4 | 32 | 54 | 4 | 2 | 3 | 261 | 358 | 391 | 748 | 130 | 317 | 19 | 12 | 335 | 68 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | 2 teams | — | 802 | 728 | 177 | 32 | 4 | 11 | 64 | 166 | 6 | 10 | 6 | 243 | 310 | 343 | 653 | 100 | 299 | 21 | 8 | 291 | 83 | — | — | — | — | — | — |
| 2017 | 23 | AA RAW | 2 teams | — | 802 | 699 | 205 | 35 | 4 | 11 | 93 | 120 | 6 | 10 | 6 | 293 | 381 | 402 | 783 | 109 | 339 | 15 | 12 | 354 | 83 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 2 teams | — | 650 | 594 | 152 | 26 | 3 | 3 | 42 | 107 | 7 | 3 | 2 | 256 | 313 | 325 | 638 | 69 | 303 | 16 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2018 | 24 | AA RAW | 2 teams | — | 650 | 565 | 162 | 26 | 3 | 3 | 71 | 97 | 7 | 3 | 2 | 287 | 373 | 359 | 733 | 73 | 337 | 15 | 11 | 334 | 79 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | 2 teams | — | 442 | 407 | 76 | 14 | 1 | 9 | 30 | 123 | 3 | 1 | 1 | 187 | 248 | 292 | 540 | 106 | 243 | 28 | 7 | 237 | 47 | — | — | — | — | — | — |
| 2019 | 25 | AA RAW | 2 teams | — | 442 | 393 | 90 | 18 | 1 | 12 | 44 | 97 | 3 | 1 | 1 | 229 | 311 | 372 | 683 | 142 | 274 | 22 | 10 | 308 | 47 | — | — | — | — | — | — |
| 2021 | 27 | INTL MLE | Yaquis de Obregon | — | 20 | 16 | 3 | 0 | 0 | 0 | 3 | 7 | 1 | 0 | 0 | 188 | 350 | 188 | 537 | 333 | 35 | 15 | — | — | — | — | — | — | — | — | |
| 2021 | 27 | INTL RAW | Yaquis de Obregon | — | 20 | 16 | 3 | 0 | 0 | 0 | 3 | 7 | 1 | 0 | 0 | 188 | 350 | 188 | 537 | 333 | 35 | 15 | 277 | 74 | — | — | — | — | — | — | |
| 2012 | 18 | ROK MLE | ACL D-backs | — | 233 | 215 | 37 | 5 | 1 | 0 | 13 | 79 | 3 | 16 | 7 | 172 | 232 | 205 | 437 | 33 | 268 | 34 | 6 | 198 | 20 | — | — | — | — | — | — |
| 2013 | 19 | ROK MLE | Missoula Osprey | — | 257 | 231 | 51 | 9 | 2 | 2 | 17 | 68 | 7 | 3 | 5 | 221 | 294 | 303 | 597 | 82 | 293 | 26 | 7 | 265 | 65 | — | — | — | — | — | — |
| 2014 | 20 | A MLE | South Bend Silver Hawks | — | 472 | 422 | 106 | 14 | 3 | 3 | 42 | 101 | 5 | 11 | 6 | 251 | 329 | 320 | 649 | 69 | 317 | 21 | 9 | 293 | 84 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | 3 teams | — | 552 | 504 | 110 | 11 | 4 | 2 | 33 | 131 | 10 | 13 | 11 | 218 | 281 | 268 | 549 | 50 | 283 | 24 | 6 | 248 | 54 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | 2 teams | — | 278 | 249 | 54 | 9 | 3 | 3 | 23 | 70 | 4 | 2 | 3 | 217 | 296 | 313 | 609 | 96 | 279 | 25 | 8 | 268 | 68 | — | — | — | — | — | — |
| 2017 | 23 | AA MLE | 2 teams | — | 802 | 726 | 177 | 32 | 4 | 11 | 64 | 166 | 6 | 10 | 6 | 244 | 310 | 344 | 654 | 101 | 297 | 21 | 8 | 291 | 83 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | 2 teams | — | 650 | 596 | 152 | 26 | 3 | 3 | 42 | 107 | 7 | 3 | 2 | 255 | 313 | 324 | 636 | 69 | 300 | 16 | 6 | 285 | 79 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | 2 teams | — | 442 | 406 | 76 | 14 | 1 | 9 | 30 | 123 | 3 | 1 | 1 | 187 | 248 | 293 | 541 | 106 | 241 | 28 | 7 | 237 | 47 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 3706 | 3354 | 766 | 120 | 21 | 33 | 267 | 852 | 46 | 59 | 41 | 228 | 294 | 306 | 600 | 78 | 293 | 23 | 7 | 266 | 66 | -148 | -5 | +0 | -40 | +80 | -11.4 | |
| / 162G | — | MLE | — | 650 | 588 | 135 | 21 | 4 | 6 | 47 | 149 | 8 | 10 | 7 | 230 | 295 | 310 | 605 | 80 | 295 | 23 | 7 | 266 | 66 | -26 | -1 | +0 | -7 | +14 | -2.0 | |
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 AAHarrisburg Senators · 301 PAwOBA .294 → .233 (−61)K% 22.3% → 27.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.26% | ÷0.996 | ×1.220 | — | — | 27.27% |
| BB% (unintentional) /PA | 8.64% | ÷1.054 | ×0.700 | — | ×0.988 | 5.67% |
| HBP% /PA | 0.66% | — | ×0.850 | — | ×0.988 | 0.56% |
| Singles /BIP | 21.57% | ÷0.991 | ×0.970 | ×0.950 | ×0.988 | 19.82% |
| Doubles /BIP | 4.90% | ÷0.985 | ×0.860 | ×0.950 | ×0.988 | 4.02% |
| Triples /BIP | 0.49% | ÷1.150 | ×0.950 | ×0.950 | ×0.988 | 0.38% |
| Home runs /BIP | 3.92% | ÷1.111 | ×0.780 | — | ×0.988 | 2.72% |
Factors used: league row EL. Park (home-season share, regressed): HR 122, 1B 98, 2B 97, 3B 130, K 99, BB 111 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .294 → .233; ISO .133 → .096; BABIP .279 → .248. 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 AAAFresno Grizzlies · 141 PAwOBA .314 → .246 (−68)K% 21.3% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.28% | ÷0.953 | ×1.290 | — | — | 28.80% |
| BB% (unintentional) /PA | 12.77% | ÷0.990 | ×0.710 | — | ×1.018 | 9.32% |
| HBP% /PA | 0.71% | — | ×0.980 | — | ×1.018 | 0.71% |
| Singles /BIP | 16.30% | ÷0.959 | ×0.900 | ×0.950 | ×1.018 | 14.79% |
| Doubles /BIP | 8.70% | ÷0.976 | ×0.810 | ×0.950 | ×1.018 | 6.98% |
| Triples /BIP | 0.00% | ÷1.140 | ×0.810 | ×0.950 | ×1.018 | 0.00% |
| Home runs /BIP | 4.35% | ÷0.962 | ×0.780 | — | ×1.018 | 3.59% |
Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 92, 2B 95, 3B 128, K 91, BB 98 — 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 ×0.950.
Result: wOBA .314 → .246; ISO .164 → .125; BABIP .261 → .226. 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 AAArkansas Travelers · 575 PAwOBA .337 → .285 (−52)K% 13.7% → 16.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.74% | ÷1.022 | ×1.220 | — | — | 16.40% |
| BB% (unintentional) /PA | 10.26% | ÷1.097 | ×0.700 | — | ×0.998 | 6.53% |
| HBP% /PA | 1.22% | — | ×0.870 | — | ×0.998 | 1.06% |
| Singles /BIP | 27.90% | ÷1.015 | ×0.920 | ×0.962 | ×0.998 | 24.26% |
| Doubles /BIP | 5.91% | ÷0.920 | ×0.840 | ×0.962 | ×0.998 | 5.18% |
| Triples /BIP | 0.71% | ÷0.925 | ×0.940 | ×0.962 | ×0.998 | 0.69% |
| Home runs /BIP | 0.71% | ÷0.925 | ×0.800 | — | ×0.998 | 0.61% |
Factors used: league row TL. Park (home-season share, regressed): HR 85, 1B 103, 2B 84, 3B 85, K 104, BB 119 — 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 ×0.962.
Result: wOBA .337 → .285; ISO .080 → .073; BABIP .344 → .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).
2017 AAArkansas Travelers · 545 PAwOBA .338 → .291 (−47)K% 16.5% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.51% | ÷0.973 | ×1.220 | — | — | 20.71% |
| BB% (unintentional) /PA | 11.38% | ÷1.005 | ×0.700 | — | ×1.012 | 8.02% |
| HBP% /PA | 1.10% | — | ×0.870 | — | ×1.012 | 0.97% |
| Singles /BIP | 24.15% | ÷0.974 | ×0.920 | ×0.998 | ×1.012 | 23.05% |
| Doubles /BIP | 6.56% | ÷0.993 | ×0.840 | ×0.998 | ×1.012 | 5.61% |
| Triples /BIP | 0.79% | ÷1.150 | ×0.940 | ×0.998 | ×1.012 | 0.65% |
| Home runs /BIP | 2.36% | ÷1.024 | ×0.800 | — | ×1.012 | 1.87% |
Factors used: league row TL. Park (home-season share, regressed): HR 105, 1B 95, 2B 99, 3B 130, K 95, BB 101 — 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 ×0.998.
Result: wOBA .338 → .291; ISO .123 → .102; BABIP .321 → .297. 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 · 184 PAwOBA .349 → .281 (−69)K% 21.2% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.20% | ÷1.020 | ×1.340 | — | — | 27.84% |
| BB% (unintentional) /PA | 14.13% | ÷1.008 | ×0.710 | — | ×0.998 | 9.94% |
| HBP% /PA | 0.54% | — | ×0.790 | — | ×0.998 | 0.43% |
| Singles /BIP | 26.09% | ÷0.994 | ×0.910 | ×0.999 | ×0.998 | 23.81% |
| Doubles /BIP | 4.35% | ÷1.038 | ×0.820 | ×0.999 | ×0.998 | 3.42% |
| Triples /BIP | 3.48% | ÷1.065 | ×0.760 | ×0.999 | ×0.998 | 2.47% |
| Home runs /BIP | 2.61% | ÷1.134 | ×0.920 | — | ×0.998 | 2.11% |
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 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 ×0.999.
Result: wOBA .349 → .281; ISO .143 → .109; BABIP .342 → .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 · 94 PAwOBA .293 → .243 (−49)K% 16.0% → 19.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.96% | ÷0.977 | ×1.220 | — | — | 19.93% |
| BB% (unintentional) /PA | 6.38% | ÷0.975 | ×0.680 | — | ×1.027 | 4.57% |
| HBP% /PA | 3.19% | — | ×0.840 | — | ×1.027 | 2.75% |
| Singles /BIP | 18.84% | ÷1.065 | ×0.920 | ×1.019 | ×1.027 | 17.03% |
| Doubles /BIP | 8.70% | ÷1.146 | ×0.910 | ×1.019 | ×1.027 | 7.23% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.880 | ×1.019 | ×1.027 | 0.00% |
| Home runs /BIP | 1.45% | ÷1.160 | ×0.800 | — | ×1.027 | 1.03% |
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 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 ×1.019.
Result: wOBA .293 → .243; ISO .107 → .084; BABIP .275 → .242. 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 · 331 PAwOBA .302 → .258 (−44)K% 14.5% → 20.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.50% | ÷0.970 | ×1.360 | — | — | 20.34% |
| BB% (unintentional) /PA | 7.85% | ÷1.021 | ×0.690 | — | — | 5.31% |
| HBP% /PA | 2.11% | — | ×0.780 | — | — | 1.65% |
| Singles /BIP | 29.88% | ÷1.027 | ×0.920 | ×1.028 | — | 27.50% |
| Doubles /BIP | 2.90% | ÷1.042 | ×0.830 | ×1.028 | — | 2.38% |
| Triples /BIP | 0.83% | ÷1.150 | ×0.910 | ×1.028 | — | 0.68% |
| Home runs /BIP | 0.00% | ÷0.881 | ×0.800 | — | — | 0.00% |
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 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 ×1.028.
Result: wOBA .302 → .258; ISO .038 → .031; BABIP .331 → .301. 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+Visalia Rawhide · 204 PAwOBA .298 → .231 (−66)K% 22.1% → 29.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.06% | ÷1.002 | ×1.340 | — | — | 29.49% |
| BB% (unintentional) /PA | 10.78% | ÷1.057 | ×0.710 | — | ×1.012 | 7.33% |
| HBP% /PA | 0.98% | — | ×0.790 | — | ×1.012 | 0.78% |
| Singles /BIP | 22.39% | ÷1.058 | ×0.910 | ×0.982 | ×1.012 | 19.15% |
| Doubles /BIP | 5.22% | ÷1.007 | ×0.820 | ×0.982 | ×1.012 | 4.23% |
| Triples /BIP | 2.24% | ÷0.913 | ×0.760 | ×0.982 | ×1.012 | 1.85% |
| Home runs /BIP | 1.49% | ÷0.973 | ×0.920 | — | ×1.012 | 1.43% |
Factors used: league row CAL. Park (home-season share, regressed): HR 95, 1B 112, 2B 101, 3B 83, K 100, BB 111 — 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 ×0.982.
Result: wOBA .298 → .231; ISO .106 → .087; BABIP .301 → .254. 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 — .