Chris Gittens
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2019 | 25 | AATrenton Thund… | 478 | .281/.397/.500 | 23 | 0 | 94 | — | .227/.316/.389 | |
| 2021 | 27 | AAAScranton/Wilk… | 184 | .301/.443/.644 | 14 | 0 | 128 | — | .256/.366/.481 | |
| 2021 | 27 | MLBNYY | 44 | .111/.256/.194 | 1 | 0 | 33 | -0.6 | ||
| 2024 | 30 | AAA/ROKHOU | 37 | .267/.405/.267 | 0 | 0 | 40 | — | .182/.270/.182 | |
| 2025 | 31 | No MLB games played | ||||||||
| 2026 | 32 | 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 | 20 | ROK | GCL Yankees2 | — | 45 | 35 | 10 | 4 | 0 | 0 | 7 | 10 | 1 | 0 | 0 | 286 | 419 | 400 | 819 | 114 | 370 | 22 | 16 | 360 | 69 | — | — | — | — | — | — |
| 2015 | 21 | A+ | Tampa Yankees | — | 15 | 14 | 2 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 143 | 200 | 143 | 343 | 182 | 20 | 7 | 167 | -24 | — | — | — | — | — | — | |
| 2015 | 21 | ROK | GCL Yankees1 | — | 146 | 124 | 45 | 9 | 1 | 8 | 17 | 33 | 4 | 2 | 2 | 363 | 455 | 645 | 1.100 | 282 | 440 | 23 | 12 | 473 | 108 | — | — | — | — | — | — |
| 2016 | 22 | A | Charleston RiverDogs | — | 451 | 383 | 97 | 23 | 0 | 21 | 56 | 126 | 9 | 4 | 2 | 253 | 362 | 478 | 839 | 225 | 318 | 28 | 12 | 370 | 78 | — | — | — | — | — | — |
| 2017 | 23 | A+ | Tampa Yankees | — | 290 | 248 | 66 | 12 | 0 | 13 | 37 | 79 | 5 | 1 | 1 | 266 | 372 | 472 | 844 | 206 | 340 | 27 | 13 | 376 | 76 | — | — | — | — | — | — |
| 2018 | 24 | AA | Trenton Thunder | — | 213 | 183 | 36 | 8 | 0 | 6 | 27 | 65 | 1 | 0 | 1 | 197 | 303 | 339 | 642 | 142 | 263 | 31 | 13 | 292 | 48 | — | — | — | — | — | — |
| 2019 | 25 | AA | Trenton Thunder | — | 478 | 398 | 112 | 16 | 1 | 23 | 71 | 139 | 5 | 0 | 0 | 281 | 397 | 500 | 897 | 219 | 371 | 29 | 15 | 394 | 94 | — | — | — | — | — | — |
| 2021 | 27 | MLB | New York Yankees | — | 44 | 36 | 4 | 0 | 0 | 1 | 7 | 13 | 0 | 0 | 0 | 111 | 256 | 194 | 450 | 83 | 130 | 30 | 16 | 220 | 33 | -4 | +0 | +0 | -4 | +1 | -0.6 |
| 2021 | 27 | AAA | Scranton/Wilkes-Barre RailRiders | — | 184 | 146 | 44 | 8 | 0 | 14 | 36 | 46 | 1 | 0 | 0 | 301 | 443 | 644 | 1.086 | 342 | 345 | 25 | 20 | 463 | 128 | — | — | — | — | — | — |
| 2024 | 30 | AAA | Sugar Land Space Cowboys | — | 19 | 16 | 5 | 0 | 0 | 0 | 3 | 9 | 0 | 0 | 0 | 312 | 421 | 312 | 734 | 714 | 47 | 16 | 348 | 57 | — | — | — | — | — | — | |
| 2024 | 30 | ROK | FCL Astros | — | 18 | 14 | 3 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 0 | 214 | 389 | 214 | 603 | 300 | 22 | 22 | 306 | 23 | — | — | — | — | — | — | |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 44 | 36 | 4 | 0 | 0 | 1 | 7 | 13 | 0 | 0 | 0 | 111 | 256 | 194 | 450 | 83 | 130 | 30 | 16 | 220 | 35 | -3 | +0 | +0 | -4 | +1 | -0.6 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 20 | ROK MLE | GCL Yankees2 | — | 45 | 38 | 8 | 3 | 0 | 0 | 4 | 14 | 1 | 0 | 0 | 211 | 302 | 289 | 592 | 79 | 288 | 31 | 9 | 270 | 69 | — | — | — | — | — | — |
| 2015 | 21 | A+ MLE | Tampa Yankees | — | 15 | 14 | 2 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 143 | 200 | 143 | 343 | 164 | 27 | 7 | 132 | -24 | — | — | — | — | — | — | |
| 2015 | 21 | ROK MLE | GCL Yankees1 | — | 146 | 131 | 34 | 6 | 1 | 6 | 10 | 47 | 4 | 2 | 2 | 260 | 331 | 458 | 789 | 198 | 338 | 32 | 7 | 328 | 108 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | Charleston RiverDogs | — | 451 | 404 | 81 | 16 | 0 | 18 | 35 | 166 | 9 | 4 | 2 | 200 | 279 | 374 | 653 | 173 | 275 | 37 | 8 | 284 | 78 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Tampa Yankees | — | 290 | 257 | 50 | 10 | 0 | 10 | 28 | 118 | 5 | 1 | 1 | 195 | 286 | 350 | 636 | 156 | 312 | 41 | 10 | 281 | 76 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Trenton Thunder | — | 213 | 190 | 32 | 6 | 0 | 4 | 20 | 79 | 1 | 0 | 1 | 168 | 251 | 263 | 514 | 95 | 256 | 37 | 9 | 239 | 48 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Trenton Thunder | — | 478 | 419 | 95 | 12 | 1 | 18 | 50 | 177 | 5 | 0 | 0 | 227 | 316 | 389 | 705 | 162 | 330 | 37 | 10 | 307 | 94 | — | — | — | — | — | — |
| 2021 | 27 | MLB MLE | New York Yankees | — | 44 | 36 | 4 | 0 | 0 | 1 | 7 | 13 | 0 | 0 | 0 | 111 | 256 | 194 | 450 | 83 | 130 | 30 | 16 | 217 | 33 | -4 | +0 | +0 | -4 | +1 | -0.6 |
| 2021 | 27 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 184 | 156 | 40 | 8 | 0 | 9 | 26 | 56 | 1 | 0 | 0 | 256 | 366 | 481 | 847 | 224 | 322 | 30 | 14 | 357 | 128 | — | — | — | — | — | — |
| 2024 | 30 | AAA MLE | Sugar Land Space Cowboys | — | 19 | 17 | 4 | 0 | 0 | 0 | 2 | 11 | 0 | 0 | 0 | 235 | 316 | 235 | 551 | 624 | 58 | 11 | 253 | 57 | — | — | — | — | — | — | |
| 2024 | 30 | ROK MLE | FCL Astros | — | 18 | 16 | 2 | 0 | 0 | 0 | 2 | 6 | 0 | 0 | 0 | 125 | 222 | 125 | 347 | 235 | 33 | 11 | 202 | 23 | — | — | — | — | — | — | |
| 2014 | 20 | ROK MLE | GCL Yankees2 | — | 45 | 38 | 8 | 3 | 0 | 0 | 4 | 14 | 1 | 0 | 0 | 211 | 302 | 289 | 592 | 79 | 308 | 31 | 9 | 270 | 69 | — | — | — | — | — | — |
| 2014 | 20 | ROK RAW | GCL Yankees2 | — | 45 | 35 | 10 | 4 | 0 | 0 | 7 | 10 | 1 | 0 | 0 | 286 | 419 | 400 | 819 | 114 | 370 | 22 | 16 | 360 | 69 | — | — | — | — | — | — |
| 2015 | 21 | ROK MLE | 2 teams | — | 161 | 145 | 35 | 6 | 1 | 6 | 11 | 52 | 4 | 2 | 2 | 241 | 312 | 421 | 733 | 179 | 330 | 32 | 7 | 310 | 96 | — | — | — | — | — | — |
| 2015 | 21 | ROK RAW | 2 teams | — | 161 | 138 | 47 | 9 | 1 | 8 | 18 | 36 | 4 | 2 | 2 | 341 | 431 | 594 | 1.025 | 254 | 411 | 22 | 11 | 444 | 96 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | Charleston RiverDogs | — | 451 | 404 | 81 | 16 | 0 | 18 | 35 | 166 | 9 | 4 | 2 | 200 | 279 | 374 | 653 | 173 | 283 | 37 | 8 | 284 | 78 | — | — | — | — | — | — |
| 2016 | 22 | A RAW | Charleston RiverDogs | — | 451 | 383 | 97 | 23 | 0 | 21 | 56 | 126 | 9 | 4 | 2 | 253 | 362 | 478 | 839 | 225 | 318 | 28 | 12 | 370 | 78 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Tampa Yankees | — | 290 | 257 | 50 | 10 | 0 | 10 | 28 | 118 | 5 | 1 | 1 | 195 | 286 | 350 | 636 | 156 | 310 | 41 | 10 | 281 | 76 | — | — | — | — | — | — |
| 2017 | 23 | A+ RAW | Tampa Yankees | — | 290 | 248 | 66 | 12 | 0 | 13 | 37 | 79 | 5 | 1 | 1 | 266 | 372 | 472 | 844 | 206 | 340 | 27 | 13 | 376 | 76 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Trenton Thunder | — | 213 | 190 | 32 | 6 | 0 | 4 | 20 | 79 | 1 | 0 | 1 | 168 | 251 | 263 | 514 | 95 | 257 | 37 | 9 | 239 | 48 | — | — | — | — | — | — |
| 2018 | 24 | AA RAW | Trenton Thunder | — | 213 | 183 | 36 | 8 | 0 | 6 | 27 | 65 | 1 | 0 | 1 | 197 | 303 | 339 | 642 | 142 | 263 | 31 | 13 | 292 | 48 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Trenton Thunder | — | 478 | 419 | 95 | 12 | 1 | 18 | 50 | 177 | 5 | 0 | 0 | 227 | 316 | 389 | 705 | 162 | 338 | 37 | 10 | 307 | 94 | — | — | — | — | — | — |
| 2019 | 25 | AA RAW | Trenton Thunder | — | 478 | 398 | 112 | 16 | 1 | 23 | 71 | 139 | 5 | 0 | 0 | 281 | 397 | 500 | 897 | 219 | 371 | 29 | 15 | 394 | 94 | — | — | — | — | — | — |
| 2021 | 27 | AAA MLE | 2 teams | — | 228 | 192 | 44 | 8 | 0 | 10 | 33 | 69 | 1 | 0 | 0 | 229 | 345 | 427 | 772 | 198 | 296 | 30 | 14 | 330 | 109 | — | — | — | — | — | — |
| 2021 | 27 | AAA RAW | 2 teams | — | 228 | 182 | 48 | 8 | 0 | 15 | 43 | 59 | 1 | 0 | 0 | 264 | 407 | 555 | 962 | 291 | 300 | 26 | 19 | 416 | 109 | — | — | — | — | — | — |
| 2024 | 30 | AAA MLE | 2 teams | — | 37 | 33 | 6 | 0 | 0 | 0 | 4 | 16 | 0 | 0 | 0 | 182 | 270 | 182 | 452 | 353 | 43 | 11 | 228 | 41 | — | — | — | — | — | — | |
| 2024 | 30 | AAA RAW | 2 teams | — | 37 | 30 | 8 | 0 | 0 | 0 | 7 | 13 | 0 | 0 | 0 | 267 | 405 | 267 | 672 | 471 | 35 | 19 | 328 | 41 | — | — | — | — | — | — | |
| 2014 | 20 | ROK MLE | GCL Yankees2 | — | 45 | 40 | 8 | 3 | 0 | 0 | 4 | 14 | 1 | 0 | 0 | 200 | 302 | 275 | 577 | 75 | 288 | 31 | 9 | 270 | 69 | — | — | — | — | — | — |
| 2015 | 21 | ROK MLE | 2 teams | — | 161 | 145 | 35 | 6 | 1 | 6 | 11 | 52 | 4 | 2 | 2 | 241 | 312 | 421 | 733 | 179 | 322 | 32 | 7 | 310 | 96 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | Charleston RiverDogs | — | 451 | 404 | 81 | 16 | 0 | 18 | 35 | 166 | 9 | 4 | 2 | 200 | 279 | 374 | 653 | 173 | 275 | 37 | 8 | 284 | 78 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Tampa Yankees | — | 290 | 255 | 50 | 10 | 0 | 10 | 28 | 118 | 5 | 1 | 1 | 196 | 286 | 353 | 639 | 157 | 312 | 41 | 10 | 281 | 76 | — | — | — | — | — | — |
| 2018 | 24 | AA MLE | Trenton Thunder | — | 213 | 190 | 32 | 6 | 0 | 4 | 20 | 79 | 1 | 0 | 1 | 168 | 251 | 263 | 514 | 95 | 256 | 37 | 9 | 239 | 48 | — | — | — | — | — | — |
| 2019 | 25 | AA MLE | Trenton Thunder | — | 478 | 420 | 95 | 12 | 1 | 18 | 50 | 177 | 5 | 0 | 0 | 226 | 316 | 388 | 705 | 162 | 330 | 37 | 10 | 307 | 94 | — | — | — | — | — | — |
| 2021 | 27 | AAA MLE | 2 teams | — | 228 | 192 | 44 | 8 | 0 | 10 | 33 | 69 | 1 | 0 | 0 | 229 | 345 | 427 | 772 | 198 | 285 | 30 | 14 | 330 | 109 | — | — | — | — | — | — |
| 2024 | 30 | AAA MLE | 2 teams | — | 37 | 33 | 6 | 0 | 0 | 0 | 4 | 16 | 0 | 0 | 0 | 182 | 270 | 182 | 452 | 435 | 43 | 11 | 228 | 41 | — | — | — | — | — | — | |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 30 | AAA MLE | 2 teams | — | 37 | 33 | 6 | 0 | 0 | 0 | 4 | 16 | 0 | 0 | 0 | 182 | 270 | 182 | 452 | 435 | 43 | 11 | 228 | 41 | — | — | — | — | — | — | |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 44 | 36 | 4 | 0 | 0 | 1 | 7 | 13 | 0 | 0 | 0 | 111 | 256 | 194 | 450 | 83 | 130 | 30 | 16 | 220 | 83 | -3 | +0 | +0 | -4 | +1 | -0.6 | |
| / 162G | — | A+C | — | 650 | 532 | 59 | 0 | 0 | 15 | 103 | 192 | 0 | 0 | 0 | 111 | 255 | 195 | 451 | 85 | 129 | 30 | 16 | 220 | 83 | -50 | +0 | +7 | -60 | +14 | -9.2 | |
| Career | — | MLE | — | 1903 | 1678 | 351 | 61 | 2 | 66 | 185 | 691 | 26 | 7 | 6 | 209 | 298 | 366 | 663 | 157 | 305 | 36 | 10 | 291 | 83 | -3 | +0 | +0 | -4 | +1 | -0.6 | |
| / 162G | — | MLE | — | 650 | 573 | 121 | 21 | 1 | 23 | 63 | 236 | 9 | 2 | 2 | 211 | 299 | 372 | 671 | 161 | 307 | 36 | 10 | 291 | 83 | -50 | +0 | +7 | -60 | +14 | -9.2 | |
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.
2024 AAASugar Land Space Cowboys · 19 PAwOBA .341 → .253 (−87)K% 47.4% → 56.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 47.37% | ÷1.006 | ×1.200 | — | — | 56.53% |
| BB% (unintentional) /PA | 15.79% | ÷1.022 | ×0.690 | — | ×0.972 | 10.36% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.972 | 0.00% |
| Singles /BIP | 71.43% | ÷1.035 | ×0.930 | — | ×0.972 | 62.38% |
| Doubles /BIP | 0.00% | ÷0.953 | ×0.830 | — | ×0.972 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | — | ×0.972 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.903 | ×0.700 | — | ×0.972 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 107, 2B 91, 3B 80, K 101, BB 104 — 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).
Result: wOBA .341 → .253; ISO .000 → .000; BABIP .714 → .624. 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).
2024 ROKFCL Astros · 18 PAwOBA .300 → .202 (−98)K% 22.2% → 31.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.22% | ÷1.006 | ×1.440 | — | — | 31.81% |
| BB% (unintentional) /PA | 22.22% | ÷1.033 | ×0.620 | — | ×0.940 | 12.54% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.940 | 0.00% |
| Singles /BIP | 30.00% | ÷0.984 | ×0.820 | — | ×0.940 | 23.51% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.940 | 0.00% |
| Triples /BIP | 0.00% | ÷0.936 | ×0.720 | — | ×0.940 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.111 | ×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): HR 122, 1B 97, 2B 100, 3B 87, K 101, BB 107 — applied at half strength. Age: age 30 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (10.5 yr older than average).
Result: wOBA .300 → .202; ISO .000 → .000; BABIP .300 → .235. 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).
2021 AAAScranton/Wilkes-Barre RailRiders · 184 PAwOBA .453 → .357 (−96)K% 25.0% → 30.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.993 | ×1.200 | — | — | 30.20% |
| BB% (unintentional) /PA | 19.57% | ÷0.973 | ×0.690 | — | ×1.003 | 13.91% |
| HBP% /PA | 0.54% | — | ×0.940 | — | ×1.003 | 0.51% |
| Singles /BIP | 22.00% | ÷0.974 | ×0.930 | ×1.050 | ×1.003 | 22.12% |
| Doubles /BIP | 8.00% | ÷0.915 | ×0.830 | ×1.050 | ×1.003 | 7.64% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×1.050 | ×1.003 | 0.00% |
| Home runs /BIP | 14.00% | ÷1.149 | ×0.700 | — | ×1.003 | 8.56% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 130, 1B 95, 2B 83, 3B 130, K 99, BB 95 — 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 ×1.050.
Result: wOBA .453 → .357; ISO .342 → .232; BABIP .345 → .322. 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 AATrenton Thunder · 478 PAwOBA .387 → .307 (−80)K% 29.1% → 37.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.08% | ÷0.956 | ×1.220 | — | — | 37.11% |
| BB% (unintentional) /PA | 14.85% | ÷0.999 | ×0.700 | — | ×0.998 | 10.39% |
| HBP% /PA | 1.05% | — | ×0.850 | — | ×0.998 | 0.89% |
| Singles /BIP | 27.80% | ÷0.984 | ×0.970 | ×0.950 | ×0.998 | 25.99% |
| Doubles /BIP | 6.18% | ÷1.040 | ×0.860 | ×0.950 | ×0.998 | 4.84% |
| Triples /BIP | 0.39% | ÷0.937 | ×0.950 | ×0.950 | ×0.998 | 0.37% |
| Home runs /BIP | 8.88% | ÷0.960 | ×0.780 | — | ×0.998 | 7.20% |
Factors used: league row EL. Park (home-season share, regressed): HR 92, 1B 97, 2B 108, 3B 87, K 91, BB 100 — 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 ×0.950.
Result: wOBA .387 → .307; ISO .219 → .168; BABIP .371 → .330. 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 AATrenton Thunder · 213 PAwOBA .288 → .239 (−49)K% 30.5% → 37.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.52% | ÷1.002 | ×1.220 | — | — | 37.15% |
| BB% (unintentional) /PA | 12.68% | ÷0.972 | ×0.700 | — | ×1.012 | 9.24% |
| HBP% /PA | 0.47% | — | ×0.850 | — | ×1.012 | 0.40% |
| Singles /BIP | 18.64% | ÷0.954 | ×0.970 | ×1.007 | ×1.012 | 19.32% |
| Doubles /BIP | 6.78% | ÷1.042 | ×0.860 | ×1.007 | ×1.012 | 5.70% |
| Triples /BIP | 0.00% | ÷0.944 | ×0.950 | ×1.007 | ×1.012 | 0.00% |
| Home runs /BIP | 5.08% | ÷1.034 | ×0.780 | — | ×1.012 | 3.88% |
Factors used: league row EL. Park (home-season share, regressed): HR 107, 1B 91, 2B 108, 3B 89, K 100, BB 94 — 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 ×1.007.
Result: wOBA .288 → .239; ISO .142 → .107; BABIP .263 → .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).
2017 A+Tampa Yankees · 290 PAwOBA .366 → .281 (−85)K% 27.2% → 40.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.24% | ÷0.949 | ×1.420 | — | — | 40.77% |
| BB% (unintentional) /PA | 12.76% | ÷1.007 | ×0.750 | — | ×0.998 | 9.48% |
| HBP% /PA | 1.72% | — | ×0.930 | — | ×0.998 | 1.60% |
| Singles /BIP | 24.26% | ÷1.071 | ×0.920 | ×1.050 | ×0.998 | 21.83% |
| Doubles /BIP | 7.10% | ÷0.995 | ×0.960 | ×1.050 | ×0.998 | 7.18% |
| Triples /BIP | 0.00% | ÷1.031 | ×0.810 | ×1.050 | ×0.998 | 0.00% |
| Home runs /BIP | 7.69% | ÷0.949 | ×0.880 | — | ×0.998 | 7.12% |
Factors used: league row FSL. Park (home-season share, regressed): HR 90, 1B 114, 2B 99, 3B 106, K 90, BB 101 — 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 .366 → .281; ISO .206 → .161; BABIP .340 → .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 ACharleston RiverDogs · 451 PAwOBA .361 → .284 (−76)K% 27.9% → 36.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.94% | ÷1.017 | ×1.340 | — | — | 36.83% |
| BB% (unintentional) /PA | 11.75% | ÷0.995 | ×0.660 | — | — | 7.79% |
| HBP% /PA | 2.00% | — | ×0.770 | — | — | 1.54% |
| Singles /BIP | 20.62% | ÷1.000 | ×0.920 | ×1.015 | — | 19.26% |
| Doubles /BIP | 8.95% | ÷1.145 | ×0.820 | ×1.015 | — | 6.51% |
| Triples /BIP | 0.00% | ÷0.930 | ×0.940 | ×1.015 | — | 0.00% |
| Home runs /BIP | 8.17% | ÷0.895 | ×0.820 | — | — | 7.49% |
Factors used: league row SAL. Park (home-season share, regressed): HR 79, 1B 100, 2B 129, 3B 86, K 103, BB 99 — 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 ×1.015.
Result: wOBA .361 → .284; ISO .225 → .184; BABIP .318 → .275. 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 ROKGCL Yankees1 · 146 PAwOBA .462 → .328 (−134)K% 22.6% → 32.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.60% | ÷1.000 | ×1.440 | — | — | 32.55% |
| BB% (unintentional) /PA | 10.96% | ÷1.000 | ×0.620 | — | ×0.985 | 6.69% |
| HBP% /PA | 2.74% | — | ×0.720 | — | ×0.985 | 1.94% |
| Singles /BIP | 29.67% | ÷1.000 | ×0.820 | ×1.004 | ×0.985 | 24.07% |
| Doubles /BIP | 9.89% | ÷1.000 | ×0.720 | ×1.004 | ×0.985 | 7.04% |
| Triples /BIP | 1.10% | ÷1.000 | ×0.720 | ×1.004 | ×0.985 | 0.78% |
| Home runs /BIP | 8.79% | ÷1.000 | ×0.780 | — | ×0.985 | 6.75% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.
Result: wOBA .462 → .328; ISO .282 → .200; BABIP .440 → .338. 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).