Mark Zagunis
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 24 | AAACHC | 408 | .267/.405/.455 | 13 | 4 | 110 | — | .237/.351/.396 | |
| 2017 | 24 | MLBCHC | 18 | .000/.222/.000 | 0 | 2 | -9 | -0.6 | ||
| 2018 | 25 | AAACHC | 453 | .272/.397/.375 | 7 | 11 | 80 | — | .232/.321/.313 | |
| 2019 | 26 | AAACHC | 285 | .294/.364/.475 | 6 | 6 | 68 | — | .214/.272/.336 | |
| 2019 | 26 | MLBCHC | 40 | .250/.325/.333 | 0 | 0 | 88 | -0.4 | ||
| 2020 | 27 | No MLB games played | ||||||||
| 2021 | 28 | No MLB games played | ||||||||
| 2022 | 29 | No MLB games played | ||||||||
| 2023 | 30 | No MLB games played | ||||||||
| 2024 | 31 | No MLB games played | ||||||||
| 2025 | 32 | No MLB games played | ||||||||
| 2026 | 33 | 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) | |||||||||||||||||||||||||||||||
| 2014 | 21 | A | Kane County Cougars | — | 62 | 50 | 14 | 6 | 1 | 0 | 10 | 9 | 2 | 5 | 0 | 280 | 419 | 440 | 859 | 160 | 341 | 15 | 16 | 389 | 99 | — | — | — | — | — | — |
| 2015 | 22 | A+ | Myrtle Beach Pelicans | — | 512 | 413 | 112 | 24 | 5 | 8 | 80 | 86 | 16 | 12 | 10 | 271 | 409 | 412 | 820 | 140 | 323 | 17 | 16 | 373 | 96 | — | — | — | — | — | — |
| 2015 | 22 | INTL | Mesa Solar Sox | — | 66 | 47 | 11 | 2 | 0 | 1 | 19 | 12 | 0 | 1 | 0 | 234 | 455 | 340 | 795 | 106 | 294 | 18 | 29 | 381 | 144 | — | — | — | — | — | — |
| 2016 | 23 | AAA | Iowa Cubs | — | 211 | 179 | 49 | 12 | 4 | 6 | 22 | 42 | 5 | 4 | 0 | 274 | 369 | 486 | 855 | 212 | 316 | 20 | 10 | 369 | 110 | — | — | — | — | — | — |
| 2016 | 23 | AA | Tennessee Smokies | — | 211 | 179 | 54 | 13 | 1 | 4 | 30 | 36 | 2 | 1 | 2 | 302 | 408 | 453 | 860 | 151 | 360 | 17 | 14 | 387 | 118 | — | — | — | — | — | — |
| 2017 | 24 | MLB | Chicago Cubs | — | 18 | 14 | 0 | 0 | 0 | 0 | 4 | 6 | 0 | 2 | 0 | 222 | 222 | 33 | 22 | 155 | -9 | -2 | +0 | -0 | -5 | +0 | -0.6 | ||||
| 2017 | 24 | AAA | Iowa Cubs | — | 408 | 330 | 88 | 21 | 1 | 13 | 70 | 93 | 7 | 4 | 3 | 267 | 405 | 455 | 860 | 188 | 333 | 23 | 17 | 386 | 110 | — | — | — | — | — | — |
| 2018 | 25 | AAA | Iowa Cubs | — | 453 | 371 | 101 | 17 | 0 | 7 | 70 | 101 | 7 | 11 | 1 | 272 | 397 | 375 | 772 | 102 | 353 | 22 | 15 | 353 | 80 | — | — | — | — | — | — |
| 2019 | 26 | MLB | Chicago Cubs | — | 40 | 36 | 9 | 3 | 0 | 0 | 4 | 16 | 0 | 0 | 0 | 250 | 325 | 333 | 658 | 83 | 450 | 40 | 10 | 302 | 88 | -1 | +0 | -0 | -3 | +1 | -0.4 |
| 2019 | 26 | AAA | Iowa Cubs | — | 285 | 255 | 75 | 26 | 1 | 6 | 24 | 94 | 4 | 6 | 3 | 294 | 364 | 475 | 838 | 180 | 439 | 33 | 8 | 369 | 68 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 58 | 50 | 9 | 3 | 0 | 0 | 8 | 22 | 0 | 2 | 0 | 180 | 293 | 240 | 533 | 60 | 321 | 38 | 14 | 256 | 60 | -3 | +0 | -0 | -8 | +1 | -1.0 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 21 | A MLE | Kane County Cougars | — | 62 | 54 | 13 | 6 | 1 | 0 | 6 | 13 | 2 | 5 | 0 | 241 | 339 | 389 | 728 | 148 | 310 | 21 | 10 | 315 | 99 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | Myrtle Beach Pelicans | — | 512 | 440 | 105 | 20 | 4 | 8 | 53 | 119 | 16 | 12 | 10 | 239 | 342 | 357 | 699 | 118 | 301 | 23 | 10 | 310 | 96 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | Iowa Cubs | — | 211 | 185 | 47 | 11 | 4 | 6 | 16 | 52 | 5 | 4 | 0 | 254 | 330 | 454 | 784 | 200 | 296 | 25 | 8 | 331 | 110 | — | — | — | — | — | — |
| 2016 | 23 | AA MLE | Tennessee Smokies | — | 211 | 188 | 53 | 14 | 1 | 3 | 21 | 44 | 2 | 1 | 2 | 282 | 360 | 415 | 775 | 133 | 359 | 21 | 10 | 343 | 118 | — | — | — | — | — | — |
| 2017 | 24 | MLB MLE | Chicago Cubs | — | 18 | 14 | 0 | 0 | 0 | 0 | 4 | 6 | 0 | 2 | 0 | 222 | 222 | 33 | 22 | 155 | -9 | -2 | +0 | -0 | -5 | +0 | -0.6 | ||||
| 2017 | 24 | AAA MLE | Iowa Cubs | — | 408 | 346 | 82 | 17 | 1 | 12 | 54 | 111 | 7 | 4 | 3 | 237 | 351 | 396 | 747 | 159 | 312 | 27 | 13 | 331 | 110 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | Iowa Cubs | — | 453 | 396 | 92 | 14 | 0 | 6 | 45 | 131 | 7 | 11 | 1 | 232 | 321 | 313 | 635 | 81 | 320 | 29 | 10 | 286 | 80 | — | — | — | — | — | — |
| 2019 | 26 | MLB MLE | Chicago Cubs | — | 40 | 36 | 9 | 3 | 0 | 0 | 4 | 16 | 0 | 0 | 0 | 250 | 325 | 333 | 658 | 83 | 450 | 40 | 10 | 299 | 88 | -1 | +0 | -0 | -3 | +1 | -0.4 |
| 2019 | 26 | AAA MLE | Iowa Cubs | — | 285 | 262 | 56 | 18 | 1 | 4 | 17 | 118 | 4 | 6 | 3 | 214 | 272 | 336 | 608 | 122 | 363 | 41 | 6 | 269 | 68 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Kane County Cougars | — | 62 | 54 | 13 | 6 | 1 | 0 | 6 | 13 | 2 | 5 | 0 | 241 | 339 | 389 | 728 | 148 | 317 | 21 | 10 | 315 | 99 | — | — | — | — | — | — |
| 2014 | 21 | A RAW | Kane County Cougars | — | 62 | 50 | 14 | 6 | 1 | 0 | 10 | 9 | 2 | 5 | 0 | 280 | 419 | 440 | 859 | 160 | 341 | 15 | 16 | 389 | 99 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | 2 teams | — | 578 | 499 | 118 | 22 | 4 | 9 | 60 | 135 | 16 | 13 | 10 | 236 | 337 | 351 | 688 | 114 | 304 | 23 | 10 | 310 | 96 | — | — | — | — | — | — |
| 2015 | 22 | A+ RAW | 2 teams | — | 578 | 460 | 123 | 26 | 5 | 9 | 99 | 98 | 16 | 13 | 10 | 267 | 414 | 404 | 818 | 137 | 320 | 17 | 17 | 374 | 96 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | 2 teams | — | 422 | 373 | 100 | 25 | 5 | 9 | 37 | 97 | 7 | 5 | 2 | 268 | 345 | 434 | 780 | 166 | 335 | 23 | 9 | 337 | 114 | — | — | — | — | — | — |
| 2016 | 23 | AAA RAW | 2 teams | — | 422 | 358 | 103 | 25 | 5 | 10 | 52 | 78 | 7 | 5 | 2 | 288 | 388 | 469 | 858 | 182 | 338 | 18 | 12 | 378 | 114 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 426 | 360 | 82 | 17 | 1 | 12 | 58 | 117 | 7 | 6 | 3 | 228 | 346 | 381 | 726 | 153 | 302 | 27 | 14 | 324 | 105 | — | — | — | — | — | — |
| 2017 | 24 | AAA RAW | 2 teams | — | 426 | 344 | 88 | 21 | 1 | 13 | 74 | 99 | 7 | 6 | 3 | 256 | 398 | 436 | 834 | 180 | 322 | 23 | 17 | 376 | 105 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | Iowa Cubs | — | 453 | 396 | 92 | 14 | 0 | 6 | 45 | 131 | 7 | 11 | 1 | 232 | 321 | 313 | 635 | 81 | 328 | 29 | 10 | 286 | 80 | — | — | — | — | — | — |
| 2018 | 25 | AAA RAW | Iowa Cubs | — | 453 | 371 | 101 | 17 | 0 | 7 | 70 | 101 | 7 | 11 | 1 | 272 | 397 | 375 | 772 | 102 | 353 | 22 | 15 | 353 | 80 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | 2 teams | — | 325 | 298 | 65 | 21 | 1 | 4 | 21 | 134 | 4 | 6 | 3 | 218 | 279 | 336 | 614 | 117 | 377 | 41 | 6 | 273 | 71 | — | — | — | — | — | — |
| 2019 | 26 | AAA RAW | 2 teams | — | 325 | 291 | 84 | 29 | 1 | 6 | 28 | 110 | 4 | 6 | 3 | 289 | 359 | 457 | 816 | 168 | 441 | 34 | 9 | 361 | 71 | — | — | — | — | — | — |
| 2014 | 21 | A MLE | Kane County Cougars | — | 62 | 54 | 13 | 6 | 1 | 0 | 6 | 13 | 2 | 5 | 0 | 241 | 339 | 389 | 728 | 148 | 310 | 21 | 10 | 315 | 99 | — | — | — | — | — | — |
| 2015 | 22 | A+ MLE | 2 teams | — | 578 | 497 | 118 | 22 | 4 | 9 | 60 | 135 | 16 | 13 | 10 | 237 | 337 | 352 | 690 | 115 | 301 | 23 | 10 | 310 | 96 | — | — | — | — | — | — |
| 2016 | 23 | AAA MLE | 2 teams | — | 422 | 375 | 100 | 25 | 5 | 9 | 37 | 97 | 7 | 5 | 2 | 267 | 345 | 432 | 777 | 165 | 327 | 23 | 9 | 337 | 114 | — | — | — | — | — | — |
| 2017 | 24 | AAA MLE | 2 teams | — | 426 | 358 | 82 | 17 | 1 | 12 | 58 | 117 | 7 | 6 | 3 | 229 | 346 | 383 | 729 | 154 | 299 | 27 | 14 | 324 | 105 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | Iowa Cubs | — | 453 | 398 | 92 | 14 | 0 | 6 | 45 | 131 | 7 | 11 | 1 | 231 | 321 | 312 | 633 | 80 | 320 | 29 | 10 | 286 | 80 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | 2 teams | — | 325 | 297 | 65 | 21 | 1 | 4 | 21 | 134 | 4 | 6 | 3 | 219 | 279 | 337 | 615 | 118 | 374 | 41 | 6 | 273 | 71 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 58 | 50 | 9 | 3 | 0 | 0 | 8 | 22 | 0 | 2 | 0 | 180 | 293 | 240 | 533 | 60 | 321 | 38 | 14 | 256 | 94 | -3 | +0 | -0 | -8 | +1 | -1.0 | |
| / 162G | — | A+C | — | 650 | 560 | 101 | 34 | 0 | 0 | 90 | 247 | 0 | 22 | 0 | 180 | 294 | 241 | 535 | 61 | 323 | 38 | 14 | 256 | 94 | -31 | +4 | -4 | -90 | +14 | -10.9 | |
| Career | — | MLE | — | 2266 | 1980 | 470 | 105 | 12 | 40 | 227 | 627 | 43 | 46 | 19 | 237 | 329 | 363 | 692 | 126 | 324 | 28 | 10 | 308 | 94 | -3 | +0 | -0 | -8 | +1 | -1.0 | |
| / 162G | — | MLE | — | 650 | 568 | 134 | 30 | 3 | 11 | 65 | 180 | 12 | 13 | 5 | 236 | 327 | 357 | 685 | 121 | 323 | 28 | 10 | 308 | 94 | -31 | +4 | -4 | -90 | +14 | -10.9 | |
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.
2019 AAAIowa Cubs · 285 PAwOBA .361 → .269 (−91)K% 33.0% → 41.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.98% | ÷1.025 | ×1.290 | — | — | 41.51% |
| BB% (unintentional) /PA | 8.07% | ÷0.968 | ×0.710 | — | ×1.018 | 6.02% |
| HBP% /PA | 1.40% | — | ×0.980 | — | ×1.018 | 1.40% |
| Singles /BIP | 26.09% | ÷0.993 | ×0.900 | ×0.950 | ×1.018 | 22.87% |
| Doubles /BIP | 16.15% | ÷1.014 | ×0.810 | ×0.950 | ×1.018 | 12.48% |
| Triples /BIP | 0.62% | ÷1.029 | ×0.810 | ×0.950 | ×1.018 | 0.47% |
| Home runs /BIP | 3.73% | ÷1.050 | ×0.780 | — | ×1.018 | 2.82% |
Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — 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 .361 → .269; ISO .180 → .125; BABIP .439 → .363. 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 AAAIowa Cubs · 453 PAwOBA .346 → .286 (−59)K% 22.3% → 29.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.30% | ÷0.993 | ×1.290 | — | — | 28.97% |
| BB% (unintentional) /PA | 15.01% | ÷1.116 | ×0.710 | — | ×1.033 | 9.87% |
| HBP% /PA | 1.55% | — | ×0.980 | — | ×1.033 | 1.56% |
| Singles /BIP | 28.52% | ÷1.033 | ×0.900 | ×1.037 | ×1.033 | 26.61% |
| Doubles /BIP | 6.30% | ÷1.091 | ×0.810 | ×1.037 | ×1.033 | 5.01% |
| Triples /BIP | 0.00% | ÷1.024 | ×0.810 | ×1.037 | ×1.033 | 0.00% |
| Home runs /BIP | 2.59% | ÷0.919 | ×0.780 | — | ×1.033 | 2.27% |
Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 107, 2B 118, 3B 105, K 99, BB 123 — 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 ×1.037.
Result: wOBA .346 → .286; ISO .102 → .086; BABIP .353 → .320. 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 AAAIowa Cubs · 408 PAwOBA .378 → .331 (−47)K% 22.8% → 27.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.79% | ÷1.083 | ×1.290 | — | — | 27.15% |
| BB% (unintentional) /PA | 17.16% | ÷0.965 | ×0.710 | — | ×1.048 | 13.22% |
| HBP% /PA | 1.72% | — | ×0.980 | — | ×1.048 | 1.76% |
| Singles /BIP | 22.36% | ÷0.991 | ×0.900 | ×1.034 | ×1.048 | 22.01% |
| Doubles /BIP | 8.86% | ÷1.056 | ×0.810 | ×1.034 | ×1.048 | 7.37% |
| Triples /BIP | 0.42% | ÷1.042 | ×0.810 | ×1.034 | ×1.048 | 0.36% |
| Home runs /BIP | 5.49% | ÷0.899 | ×0.780 | — | ×1.048 | 4.99% |
Factors used: league row PCL. Park (home-season share, regressed): HR 80, 1B 98, 2B 111, 3B 108, K 117, BB 93 — 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 ×1.034.
Result: wOBA .378 → .331; ISO .188 → .165; 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).
2016 AAAIowa Cubs · 211 PAwOBA .368 → .331 (−37)K% 19.9% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.91% | ÷1.037 | ×1.290 | — | — | 24.76% |
| BB% (unintentional) /PA | 10.43% | ÷1.034 | ×0.710 | — | ×1.050 | 7.51% |
| HBP% /PA | 2.37% | — | ×0.980 | — | ×1.050 | 2.44% |
| Singles /BIP | 19.71% | ÷1.006 | ×0.900 | ×1.011 | ×1.050 | 18.71% |
| Doubles /BIP | 8.76% | ÷0.927 | ×0.810 | ×1.011 | ×1.050 | 8.12% |
| Triples /BIP | 2.92% | ÷0.945 | ×0.810 | ×1.011 | ×1.050 | 2.66% |
| Home runs /BIP | 4.38% | ÷0.890 | ×0.780 | — | ×1.050 | 4.03% |
Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 101, 2B 85, 3B 89, K 107, BB 107 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.
Result: wOBA .368 → .331; ISO .212 → .196; BABIP .316 → .296. 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 AATennessee Smokies · 211 PAwOBA .377 → .343 (−34)K% 17.1% → 21.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.06% | ÷0.992 | ×1.220 | — | — | 20.99% |
| BB% (unintentional) /PA | 14.22% | ÷0.982 | ×0.680 | — | ×1.027 | 10.11% |
| HBP% /PA | 0.95% | — | ×0.840 | — | ×1.027 | 0.82% |
| Singles /BIP | 25.17% | ÷1.013 | ×0.920 | ×1.050 | ×1.027 | 24.65% |
| Doubles /BIP | 9.09% | ÷0.918 | ×0.910 | ×1.050 | ×1.027 | 9.72% |
| Triples /BIP | 0.70% | ÷0.900 | ×0.880 | ×1.050 | ×1.027 | 0.74% |
| Home runs /BIP | 2.80% | ÷1.059 | ×0.800 | — | ×1.027 | 2.17% |
Factors used: league row SL. Park (home-season share, regressed): HR 112, 1B 103, 2B 84, 3B 80, K 98, BB 96 — 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 ×1.050.
Result: wOBA .377 → .343; ISO .151 → .142; BABIP .360 → .359. 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+Myrtle Beach Pelicans · 512 PAwOBA .366 → .310 (−56)K% 16.8% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.80% | ÷1.025 | ×1.420 | — | — | 23.27% |
| BB% (unintentional) /PA | 15.43% | ÷0.960 | ×0.630 | — | ×1.012 | 10.25% |
| HBP% /PA | 3.12% | — | ×0.860 | — | ×1.012 | 2.72% |
| Singles /BIP | 22.94% | ÷0.977 | ×0.940 | ×1.003 | ×1.012 | 22.40% |
| Doubles /BIP | 7.34% | ÷1.015 | ×0.830 | ×1.003 | ×1.012 | 6.09% |
| Triples /BIP | 1.53% | ÷1.138 | ×0.800 | ×1.003 | ×1.012 | 1.09% |
| Home runs /BIP | 2.45% | ÷0.888 | ×0.900 | — | ×1.012 | 2.51% |
Factors used: league row CAR. Park (home-season share, regressed): HR 78, 1B 95, 2B 103, 3B 128, K 105, BB 92 — 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 ×1.003.
Result: wOBA .366 → .310; ISO .140 → .125; BABIP .323 → .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).
2014 AKane County Cougars · 62 PAwOBA .375 → .315 (−60)K% 14.5% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.52% | ÷0.952 | ×1.360 | — | — | 20.73% |
| BB% (unintentional) /PA | 14.52% | ÷1.058 | ×0.690 | — | ×1.015 | 9.61% |
| HBP% /PA | 3.23% | — | ×0.780 | — | ×1.015 | 2.55% |
| Singles /BIP | 17.07% | ÷1.029 | ×0.920 | — | ×1.015 | 15.50% |
| Doubles /BIP | 14.63% | ÷0.914 | ×0.830 | — | ×1.015 | 13.49% |
| Triples /BIP | 2.44% | ÷1.144 | ×0.910 | — | ×1.015 | 1.97% |
| Home runs /BIP | 0.00% | ÷1.029 | ×0.800 | — | ×1.015 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 106, 2B 83, 3B 129, K 90, BB 112 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).
Result: wOBA .375 → .315; ISO .160 → .145; BABIP .341 → .310. 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 — .