Nolan Fontana
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 26 | AAALAA | 453 | .271/.401/.449 | 10 | 14 | 88 | — | .222/.321/.355 | |
| 2017 | 26 | MLBLAA | 23 | .050/.174/.200 | 1 | 1 | 8 | -0.1 | ||
| 2018 | 27 | AAALAA | 191 | .234/.403/.414 | 3 | 4 | 77 | — | .190/.312/.342 | |
| 2019 | 28 | AAAMIL | 132 | .167/.313/.287 | 3 | 0 | 28 | — | .123/.237/.202 | |
| 2020 | 29 | No MLB games played | ||||||||
| 2021 | 30 | No MLB games played | ||||||||
| 2022 | 31 | No MLB games played | ||||||||
| 2023 | 32 | No MLB games played | ||||||||
| 2024 | 33 | No MLB games played | ||||||||
| 2025 | 34 | No MLB games played | ||||||||
| 2026 | 35 | 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) | |||||||||||||||||||||||||||||||
| 2012 | 21 | A | Lexington Legends | — | 222 | 151 | 34 | 9 | 1 | 2 | 65 | 44 | 3 | 12 | 2 | 225 | 466 | 338 | 804 | 113 | 302 | 20 | 29 | 382 | 92 | — | — | — | — | — | — |
| 2013 | 22 | A+ | Lancaster JetHawks | — | 499 | 386 | 101 | 18 | 6 | 8 | 102 | 99 | 3 | 17 | 5 | 262 | 420 | 402 | 821 | 140 | 330 | 20 | 20 | 371 | 78 | — | — | — | — | — | — |
| 2013 | 22 | INTL | Peoria Javelinas | — | 68 | 54 | 6 | 2 | 0 | 0 | 13 | 16 | 1 | 0 | 1 | 111 | 294 | 148 | 442 | 37 | 158 | 24 | 19 | 235 | 45 | — | — | — | — | — | — |
| 2014 | 23 | AA | Corpus Christi Hooks | — | 305 | 229 | 60 | 21 | 1 | 1 | 61 | 76 | 2 | 5 | 8 | 262 | 421 | 376 | 797 | 114 | 383 | 25 | 20 | 355 | 99 | — | — | — | — | — | — |
| 2014 | 23 | INTL | Senadores de San Juan | — | 37 | 31 | 4 | 0 | 1 | 0 | 4 | 7 | 1 | 2 | 0 | 129 | 250 | 194 | 444 | 65 | 160 | 19 | 11 | 212 | 30 | — | — | — | — | — | — |
| 2015 | 24 | AAA | Fresno Grizzlies | — | 456 | 361 | 87 | 21 | 6 | 3 | 74 | 99 | 3 | 6 | 11 | 241 | 374 | 357 | 732 | 116 | 317 | 22 | 16 | 325 | 74 | — | — | — | — | — | — |
| 2016 | 25 | AAA | Fresno Grizzlies | — | 407 | 359 | 70 | 15 | 0 | 3 | 32 | 108 | 5 | 4 | 3 | 195 | 270 | 262 | 532 | 67 | 266 | 27 | 8 | 242 | 17 | — | — | — | — | — | — |
| 2016 | 25 | AA | Corpus Christi Hooks | — | 44 | 36 | 10 | 4 | 0 | 0 | 8 | 5 | 0 | 1 | 0 | 278 | 409 | 389 | 798 | 111 | 323 | 11 | 18 | 367 | 96 | — | — | — | — | — | — |
| 2017 | 26 | MLB | Los Angeles Angels | — | 23 | 20 | 1 | 0 | 0 | 1 | 3 | 8 | 0 | 1 | 1 | 50 | 174 | 200 | 374 | 150 | 35 | 13 | 181 | 8 | -3 | -0 | -0 | +2 | +0 | -0.1 | |
| 2017 | 26 | AAA | Salt Lake Bees | — | 453 | 361 | 98 | 26 | 4 | 10 | 75 | 97 | 3 | 14 | 2 | 271 | 401 | 449 | 850 | 177 | 338 | 21 | 17 | 370 | 88 | — | — | — | — | — | — |
| 2018 | 27 | AAA | Salt Lake Bees | — | 191 | 145 | 34 | 11 | 3 | 3 | 40 | 38 | 1 | 4 | 1 | 234 | 403 | 414 | 817 | 179 | 290 | 20 | 21 | 363 | 77 | — | — | — | — | — | — |
| 2019 | 28 | AAA | Nashville Sounds | — | 132 | 108 | 18 | 4 | 0 | 3 | 21 | 40 | 2 | 0 | 0 | 167 | 313 | 287 | 600 | 120 | 227 | 30 | 16 | 284 | 28 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 23 | 20 | 1 | 0 | 0 | 1 | 3 | 8 | 0 | 1 | 1 | 50 | 174 | 200 | 374 | 150 | 35 | 13 | 181 | 9 | -2 | -0 | -0 | +2 | +0 | -0.1 | |||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 21 | A MLE | Lexington Legends | — | 222 | 173 | 34 | 8 | 1 | 2 | 43 | 56 | 3 | 12 | 2 | 197 | 365 | 289 | 654 | 92 | 272 | 25 | 19 | 304 | 92 | — | — | — | — | — | — |
| 2013 | 22 | A+ MLE | Lancaster JetHawks | — | 499 | 418 | 86 | 14 | 4 | 6 | 70 | 143 | 3 | 17 | 5 | 206 | 324 | 301 | 625 | 96 | 284 | 29 | 14 | 284 | 78 | — | — | — | — | — | — |
| 2014 | 23 | AA MLE | Corpus Christi Hooks | — | 305 | 246 | 61 | 22 | 1 | 1 | 44 | 94 | 2 | 5 | 8 | 248 | 366 | 358 | 724 | 110 | 362 | 31 | 14 | 315 | 99 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | Fresno Grizzlies | — | 456 | 379 | 80 | 17 | 5 | 2 | 56 | 125 | 3 | 6 | 11 | 211 | 317 | 298 | 616 | 87 | 285 | 27 | 12 | 277 | 74 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | Fresno Grizzlies | — | 407 | 368 | 58 | 11 | 0 | 2 | 23 | 140 | 5 | 4 | 3 | 158 | 217 | 204 | 421 | 46 | 233 | 34 | 6 | 193 | 17 | — | — | — | — | — | — |
| 2016 | 25 | AA MLE | Corpus Christi Hooks | — | 44 | 40 | 10 | 4 | 0 | 0 | 4 | 6 | 0 | 1 | 0 | 250 | 318 | 350 | 668 | 100 | 290 | 14 | 9 | 310 | 96 | — | — | — | — | — | — |
| 2017 | 26 | MLB MLE | Los Angeles Angels | — | 23 | 20 | 1 | 0 | 0 | 1 | 3 | 8 | 0 | 1 | 1 | 50 | 174 | 200 | 374 | 150 | 35 | 13 | 180 | 8 | -3 | -0 | -0 | +2 | +0 | -0.1 | |
| 2017 | 26 | AAA MLE | Salt Lake Bees | — | 453 | 383 | 85 | 21 | 3 | 8 | 53 | 124 | 3 | 14 | 2 | 222 | 321 | 355 | 676 | 133 | 284 | 27 | 12 | 298 | 88 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | Salt Lake Bees | — | 191 | 158 | 30 | 9 | 3 | 3 | 27 | 49 | 1 | 4 | 1 | 190 | 312 | 342 | 654 | 152 | 233 | 26 | 14 | 282 | 77 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | Nashville Sounds | — | 132 | 114 | 14 | 3 | 0 | 2 | 15 | 51 | 2 | 0 | 0 | 123 | 237 | 202 | 438 | 79 | 186 | 39 | 11 | 210 | 28 | — | — | — | — | — | — |
| 2012 | 21 | A MLE | Lexington Legends | — | 222 | 173 | 34 | 8 | 1 | 2 | 43 | 56 | 3 | 12 | 2 | 197 | 365 | 289 | 654 | 92 | 276 | 25 | 19 | 304 | 92 | — | — | — | — | — | — |
| 2012 | 21 | A RAW | Lexington Legends | — | 222 | 151 | 34 | 9 | 1 | 2 | 65 | 44 | 3 | 12 | 2 | 225 | 466 | 338 | 804 | 113 | 302 | 20 | 29 | 382 | 92 | — | — | — | — | — | — |
| 2013 | 22 | A+ MLE | 2 teams | — | 567 | 476 | 98 | 16 | 5 | 7 | 79 | 162 | 4 | 17 | 6 | 206 | 324 | 305 | 628 | 99 | 294 | 29 | 14 | 284 | 78 | — | — | — | — | — | — |
| 2013 | 22 | A+ RAW | 2 teams | — | 567 | 440 | 107 | 20 | 6 | 8 | 115 | 115 | 4 | 17 | 6 | 243 | 404 | 370 | 775 | 127 | 309 | 20 | 20 | 355 | 78 | — | — | — | — | — | — |
| 2014 | 23 | AA MLE | 2 teams | — | 342 | 275 | 68 | 25 | 1 | 1 | 50 | 105 | 3 | 7 | 8 | 247 | 369 | 356 | 725 | 109 | 390 | 31 | 15 | 315 | 99 | — | — | — | — | — | — |
| 2014 | 23 | AA RAW | 2 teams | — | 342 | 260 | 64 | 21 | 2 | 1 | 65 | 83 | 3 | 7 | 8 | 246 | 402 | 354 | 756 | 108 | 352 | 24 | 19 | 339 | 99 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | Fresno Grizzlies | — | 456 | 379 | 80 | 17 | 5 | 2 | 56 | 125 | 3 | 6 | 11 | 211 | 317 | 298 | 616 | 87 | 302 | 27 | 12 | 277 | 74 | — | — | — | — | — | — |
| 2015 | 24 | AAA RAW | Fresno Grizzlies | — | 456 | 361 | 87 | 21 | 6 | 3 | 74 | 99 | 3 | 6 | 11 | 241 | 374 | 357 | 732 | 116 | 317 | 22 | 16 | 325 | 74 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 2 teams | — | 451 | 407 | 68 | 15 | 0 | 2 | 28 | 146 | 5 | 5 | 3 | 167 | 230 | 219 | 448 | 52 | 251 | 32 | 6 | 204 | 25 | — | — | — | — | — | — |
| 2016 | 25 | AAA RAW | 2 teams | — | 451 | 395 | 80 | 19 | 0 | 3 | 40 | 113 | 5 | 5 | 3 | 203 | 284 | 273 | 558 | 71 | 272 | 25 | 9 | 254 | 25 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | 2 teams | — | 476 | 403 | 86 | 21 | 3 | 9 | 56 | 132 | 3 | 15 | 3 | 213 | 314 | 347 | 661 | 134 | 287 | 28 | 12 | 292 | 84 | — | — | — | — | — | — |
| 2017 | 26 | AAA RAW | 2 teams | — | 476 | 381 | 99 | 26 | 4 | 11 | 78 | 105 | 3 | 15 | 3 | 260 | 390 | 436 | 825 | 176 | 325 | 22 | 16 | 361 | 84 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | Salt Lake Bees | — | 191 | 158 | 30 | 9 | 3 | 3 | 27 | 49 | 1 | 4 | 1 | 190 | 312 | 342 | 654 | 152 | 248 | 26 | 14 | 282 | 77 | — | — | — | — | — | — |
| 2018 | 27 | AAA RAW | Salt Lake Bees | — | 191 | 145 | 34 | 11 | 3 | 3 | 40 | 38 | 1 | 4 | 1 | 234 | 403 | 414 | 817 | 179 | 290 | 20 | 21 | 363 | 77 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | Nashville Sounds | — | 132 | 114 | 14 | 3 | 0 | 2 | 15 | 51 | 2 | 0 | 0 | 123 | 237 | 202 | 438 | 79 | 194 | 39 | 11 | 210 | 28 | — | — | — | — | — | — |
| 2019 | 28 | AAA RAW | Nashville Sounds | — | 132 | 108 | 18 | 4 | 0 | 3 | 21 | 40 | 2 | 0 | 0 | 167 | 313 | 287 | 600 | 120 | 227 | 30 | 16 | 284 | 28 | — | — | — | — | — | — |
| 2012 | 21 | A MLE | Lexington Legends | — | 222 | 174 | 34 | 8 | 1 | 2 | 43 | 56 | 3 | 12 | 2 | 195 | 365 | 287 | 653 | 92 | 272 | 25 | 19 | 304 | 92 | — | — | — | — | — | — |
| 2013 | 22 | A+ MLE | 2 teams | — | 567 | 479 | 98 | 16 | 5 | 7 | 79 | 162 | 4 | 17 | 6 | 205 | 324 | 303 | 627 | 98 | 284 | 29 | 14 | 284 | 78 | — | — | — | — | — | — |
| 2014 | 23 | AA MLE | 2 teams | — | 342 | 286 | 68 | 25 | 1 | 1 | 50 | 105 | 3 | 7 | 8 | 238 | 369 | 343 | 712 | 105 | 362 | 31 | 15 | 315 | 99 | — | — | — | — | — | — |
| 2015 | 24 | AAA MLE | Fresno Grizzlies | — | 456 | 394 | 80 | 17 | 5 | 2 | 56 | 125 | 3 | 6 | 11 | 203 | 317 | 287 | 604 | 84 | 285 | 27 | 12 | 277 | 74 | — | — | — | — | — | — |
| 2016 | 25 | AAA MLE | 2 teams | — | 451 | 415 | 68 | 15 | 0 | 2 | 28 | 146 | 5 | 5 | 3 | 164 | 230 | 214 | 444 | 51 | 239 | 32 | 6 | 204 | 25 | — | — | — | — | — | — |
| 2017 | 26 | AAA MLE | 2 teams | — | 476 | 414 | 86 | 21 | 3 | 9 | 56 | 132 | 3 | 15 | 3 | 208 | 314 | 338 | 652 | 130 | 270 | 28 | 12 | 292 | 84 | — | — | — | — | — | — |
| 2018 | 27 | AAA MLE | Salt Lake Bees | — | 191 | 161 | 30 | 9 | 3 | 3 | 27 | 49 | 1 | 4 | 1 | 186 | 312 | 335 | 647 | 149 | 233 | 26 | 14 | 282 | 77 | — | — | — | — | — | — |
| 2019 | 28 | AAA MLE | Nashville Sounds | — | 132 | 114 | 14 | 3 | 0 | 2 | 15 | 51 | 2 | 0 | 0 | 123 | 237 | 202 | 438 | 79 | 186 | 39 | 11 | 210 | 28 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 23 | 20 | 1 | 0 | 0 | 1 | 3 | 8 | 0 | 1 | 1 | 50 | 174 | 200 | 374 | 150 | 35 | 13 | 181 | 71 | -2 | -0 | -0 | +2 | +0 | -0.1 | ||
| / 162G | — | A+C | — | 650 | 565 | 28 | 0 | 0 | 28 | 85 | 226 | 0 | 28 | 28 | 50 | 174 | 198 | 372 | 149 | 35 | 13 | 181 | 71 | -70 | -6 | -4 | +48 | +14 | -1.9 | ||
| Career | — | MLE | — | 2837 | 2385 | 478 | 114 | 18 | 28 | 354 | 826 | 24 | 66 | 34 | 200 | 310 | 299 | 608 | 98 | 289 | 29 | 12 | 273 | 71 | -2 | -0 | -0 | +2 | +0 | -0.1 | |
| / 162G | — | MLE | — | 650 | 546 | 109 | 26 | 4 | 6 | 81 | 189 | 5 | 15 | 8 | 200 | 308 | 295 | 603 | 95 | 289 | 29 | 12 | 273 | 71 | -70 | -6 | -4 | +48 | +14 | -1.9 | |
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 AAANashville Sounds · 132 PAwOBA .279 → .210 (−69)K% 30.3% → 38.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.30% | ÷1.015 | ×1.290 | — | — | 38.53% |
| BB% (unintentional) /PA | 15.91% | ÷0.988 | ×0.710 | — | ×0.992 | 11.34% |
| HBP% /PA | 1.52% | — | ×0.980 | — | ×0.992 | 1.47% |
| Singles /BIP | 16.18% | ÷1.007 | ×0.900 | ×0.950 | ×0.992 | 13.62% |
| Doubles /BIP | 5.88% | ÷0.967 | ×0.810 | ×0.950 | ×0.992 | 4.64% |
| Triples /BIP | 0.00% | ÷1.069 | ×0.810 | ×0.950 | ×0.992 | 0.00% |
| Home runs /BIP | 4.41% | ÷0.998 | ×0.780 | — | ×0.992 | 3.42% |
Factors used: league row PCL. Park (home-season share, regressed): HR 100, 1B 101, 2B 93, 3B 114, K 103, BB 98 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .279 → .210; ISO .120 → .089; BABIP .227 → .186. 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 AAASalt Lake Bees · 191 PAwOBA .360 → .282 (−78)K% 19.9% → 25.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.90% | ÷1.003 | ×1.290 | — | — | 25.59% |
| BB% (unintentional) /PA | 20.94% | ÷1.068 | ×0.710 | — | ×1.003 | 13.96% |
| HBP% /PA | 0.52% | — | ×0.980 | — | ×1.003 | 0.51% |
| Singles /BIP | 15.89% | ÷1.064 | ×0.900 | ×0.982 | ×1.003 | 13.23% |
| Doubles /BIP | 10.28% | ÷1.045 | ×0.810 | ×0.982 | ×1.003 | 7.85% |
| Triples /BIP | 2.80% | ÷0.969 | ×0.810 | ×0.982 | ×1.003 | 2.31% |
| Home runs /BIP | 2.80% | ÷0.958 | ×0.780 | — | ×1.003 | 2.29% |
Factors used: league row PCL. Park (home-season share, regressed): HR 92, 1B 113, 2B 109, 3B 94, K 101, BB 114 — 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 ×0.982.
Result: wOBA .360 → .282; ISO .179 → .153; BABIP .290 → .233. 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 AAASalt Lake Bees · 453 PAwOBA .365 → .298 (−66)K% 21.4% → 27.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.41% | ÷1.010 | ×1.290 | — | — | 27.34% |
| BB% (unintentional) /PA | 16.11% | ÷0.993 | ×0.710 | — | ×1.018 | 11.73% |
| HBP% /PA | 0.66% | — | ×0.980 | — | ×1.018 | 0.66% |
| Singles /BIP | 21.97% | ÷0.986 | ×0.900 | ×0.950 | ×1.018 | 19.39% |
| Doubles /BIP | 9.85% | ÷1.009 | ×0.810 | ×0.950 | ×1.018 | 7.65% |
| Triples /BIP | 1.52% | ÷1.093 | ×0.810 | ×0.950 | ×1.018 | 1.09% |
| Home runs /BIP | 3.79% | ÷0.989 | ×0.780 | — | ×1.018 | 3.04% |
Factors used: league row PCL. Park (home-season share, regressed): HR 98, 1B 97, 2B 102, 3B 119, K 102, BB 99 — 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 .365 → .298; ISO .177 → .143; BABIP .338 → .284. 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 AAAFresno Grizzlies · 407 PAwOBA .239 → .193 (−46)K% 26.5% → 34.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.54% | ÷0.996 | ×1.290 | — | — | 34.36% |
| BB% (unintentional) /PA | 7.86% | ÷1.008 | ×0.710 | — | ×1.033 | 5.72% |
| HBP% /PA | 1.23% | — | ×0.980 | — | ×1.033 | 1.24% |
| Singles /BIP | 20.72% | ÷1.000 | ×0.900 | ×0.981 | ×1.033 | 18.89% |
| Doubles /BIP | 5.98% | ÷1.061 | ×0.810 | ×0.981 | ×1.033 | 4.62% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.810 | ×0.981 | ×1.033 | 0.00% |
| Home runs /BIP | 1.20% | ÷1.040 | ×0.780 | — | ×1.033 | 0.93% |
Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — 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 ×0.981.
Result: wOBA .239 → .193; ISO .067 → .049; BABIP .266 → .233. 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 AACorpus Christi Hooks · 44 PAwOBA .343 → .310 (−33)K% 11.4% → 13.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.36% | ÷1.055 | ×1.220 | — | — | 13.13% |
| BB% (unintentional) /PA | 13.64% | ÷0.932 | ×0.700 | — | ×0.998 | 10.22% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.998 | 0.00% |
| Singles /BIP | 19.35% | ÷0.967 | ×0.920 | — | ×0.998 | 18.38% |
| Doubles /BIP | 12.90% | ÷1.017 | ×0.840 | — | ×0.998 | 10.64% |
| Triples /BIP | 0.00% | ÷0.977 | ×0.940 | — | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.196 | ×0.800 | — | ×0.998 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 139, 1B 93, 2B 103, 3B 95, K 111, BB 86 — 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).
Result: wOBA .343 → .310; ISO .111 → .100; BABIP .323 → .290. 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 AAAFresno Grizzlies · 456 PAwOBA .322 → .277 (−46)K% 21.7% → 27.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.71% | ÷1.020 | ×1.290 | — | — | 27.47% |
| BB% (unintentional) /PA | 16.23% | ÷0.987 | ×0.710 | — | ×1.048 | 12.23% |
| HBP% /PA | 0.66% | — | ×0.980 | — | ×1.048 | 0.68% |
| Singles /BIP | 21.76% | ÷0.972 | ×0.900 | ×0.980 | ×1.048 | 20.68% |
| Doubles /BIP | 8.02% | ÷1.051 | ×0.810 | ×0.980 | ×1.048 | 6.35% |
| Triples /BIP | 2.29% | ÷1.021 | ×0.810 | ×0.980 | ×1.048 | 1.87% |
| Home runs /BIP | 1.15% | ÷1.060 | ×0.780 | — | ×1.048 | 0.88% |
Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 94, 2B 110, 3B 104, K 104, BB 97 — 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 ×0.980.
Result: wOBA .322 → .277; ISO .116 → .096; BABIP .317 → .285. 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 AACorpus Christi Hooks · 305 PAwOBA .349 → .315 (−34)K% 24.9% → 30.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.92% | ÷0.988 | ×1.220 | — | — | 30.78% |
| BB% (unintentional) /PA | 20.00% | ÷0.991 | ×0.700 | — | ×1.027 | 14.51% |
| HBP% /PA | 0.66% | — | ×0.870 | — | ×1.027 | 0.59% |
| Singles /BIP | 24.18% | ÷1.022 | ×0.920 | ×1.002 | ×1.027 | 22.39% |
| Doubles /BIP | 13.73% | ÷0.890 | ×0.840 | ×1.002 | ×1.027 | 13.33% |
| Triples /BIP | 0.65% | ÷0.900 | ×0.940 | ×1.002 | ×1.027 | 0.70% |
| Home runs /BIP | 0.65% | ÷0.956 | ×0.800 | — | ×1.027 | 0.56% |
Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 104, 2B 78, 3B 80, K 98, BB 98 — 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 ×1.002.
Result: wOBA .349 → .315; ISO .114 → .118; BABIP .383 → .362. 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 A+Lancaster JetHawks · 499 PAwOBA .365 → .284 (−80)K% 19.8% → 28.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.84% | ÷0.929 | ×1.340 | — | — | 28.60% |
| BB% (unintentional) /PA | 20.24% | ÷1.035 | ×0.710 | — | ×1.012 | 14.04% |
| HBP% /PA | 0.60% | — | ×0.790 | — | ×1.012 | 0.48% |
| Singles /BIP | 24.04% | ÷1.037 | ×0.910 | ×1.019 | ×1.012 | 21.75% |
| Doubles /BIP | 6.27% | ÷1.090 | ×0.820 | ×1.019 | ×1.012 | 4.86% |
| Triples /BIP | 2.09% | ÷1.150 | ×0.760 | ×1.019 | ×1.012 | 1.42% |
| Home runs /BIP | 2.79% | ÷1.147 | ×0.920 | — | ×1.012 | 2.26% |
Factors used: league row CAL. Park (home-season share, regressed): HR 129, 1B 107, 2B 118, 3B 130, K 86, BB 107 — 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 ×1.019.
Result: wOBA .365 → .284; ISO .140 → .107; BABIP .330 → .284. 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 — .