Khalil Lee
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021 | 23 | AAANYM | 388 | .274/.452/.500 | 14 | 8 | 124 | — | .237/.385/.410 | |
| 2021 | 23 | MLBNYM | 18 | .056/.056/.111 | 0 | 0 | -63 | -0.9 | ||
| 2022 | 24 | AAA/ANYM | 453 | .214/.330/.370 | 10 | 15 | 58 | — | .175/.270/.283 | |
| 2023 | 25 | AAANYM | 77 | .185/.303/.323 | 1 | 2 | 53 | — | .176/.263/.309 | |
| 2024 | 26 | No MLB games played | ||||||||
| 2025 | 27 | No MLB games played | ||||||||
| 2026 | 28 | 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) | |||||||||||||||||||||||||||||||
| 2016 | 18 | ROK | AZL Royals | — | 222 | 182 | 49 | 9 | 6 | 6 | 33 | 57 | 6 | 8 | 4 | 269 | 398 | 484 | 882 | 214 | 358 | 26 | 15 | 390 | 68 | — | — | — | — | — | — |
| 2017 | 19 | A | Lexington Legends | — | 532 | 451 | 107 | 24 | 6 | 17 | 65 | 171 | 10 | 20 | 18 | 237 | 346 | 430 | 776 | 193 | 338 | 32 | 12 | 344 | 68 | — | — | — | — | — | — |
| 2018 | 20 | AA | Northwest Arkansas Naturals | — | 118 | 102 | 25 | 5 | 0 | 2 | 11 | 28 | 2 | 2 | 2 | 245 | 330 | 353 | 683 | 108 | 319 | 24 | 9 | 305 | 60 | — | — | — | — | — | — |
| 2018 | 20 | A+ | Wilmington Blue Rocks | — | 301 | 244 | 66 | 13 | 4 | 4 | 48 | 75 | 7 | 14 | 3 | 270 | 405 | 406 | 810 | 135 | 371 | 25 | 16 | 368 | 90 | — | — | — | — | — | — |
| 2018 | 20 | INTL | Surprise Saguaros | — | 92 | 83 | 13 | 3 | 0 | 1 | 8 | 27 | 1 | 3 | 0 | 157 | 239 | 229 | 468 | 72 | 218 | 29 | 9 | 222 | 36 | — | — | — | — | — | — |
| 2019 | 21 | AA | Northwest Arkansas Naturals | — | 546 | 470 | 124 | 21 | 3 | 8 | 65 | 154 | 9 | 53 | 12 | 264 | 364 | 372 | 736 | 109 | 374 | 28 | 12 | 336 | 63 | — | — | — | — | — | — |
| 2019 | 21 | INTL | Indios de Mayaguez | — | 19 | 18 | 4 | 0 | 0 | 1 | 0 | 5 | 1 | 1 | 0 | 222 | 263 | 389 | 652 | 167 | 250 | 26 | 0 | 291 | 83 | — | — | — | — | — | — |
| 2020 | 22 | INTL | Indios de Mayaguez | — | 51 | 46 | 9 | 4 | 0 | 1 | 5 | 16 | 0 | 2 | 3 | 196 | 275 | 348 | 622 | 152 | 276 | 31 | 10 | 281 | 76 | — | — | — | — | — | — |
| 2021 | 23 | MLB | New York Mets | — | 18 | 18 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 56 | 56 | 111 | 167 | 56 | 200 | 72 | 0 | 71 | -63 | -3 | +0 | -1 | -4 | +0 | -0.9 |
| 2021 | 23 | AAA | Syracuse Mets | — | 388 | 292 | 80 | 20 | 2 | 14 | 71 | 115 | 24 | 8 | 10 | 274 | 452 | 500 | 952 | 226 | 402 | 30 | 18 | 425 | 124 | — | — | — | — | — | — |
| 2022 | 24 | AAA | Syracuse Mets | — | 418 | 355 | 75 | 25 | 0 | 10 | 47 | 139 | 14 | 14 | 3 | 211 | 326 | 366 | 692 | 155 | 314 | 33 | 11 | 316 | 58 | — | — | — | — | — | — |
| 2022 | 24 | A | St. Lucie Mets | — | 35 | 29 | 7 | 3 | 1 | 0 | 3 | 11 | 3 | 1 | 3 | 241 | 371 | 414 | 785 | 172 | 389 | 31 | 9 | 357 | 55 | — | — | — | — | — | — |
| 2023 | 25 | AAA | Syracuse Mets | — | 77 | 65 | 12 | 6 | 0 | 1 | 10 | 17 | 1 | 2 | 0 | 185 | 303 | 323 | 626 | 138 | 229 | 22 | 13 | 286 | 53 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 18 | 18 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 56 | 56 | 111 | 167 | 56 | 200 | 72 | 0 | 71 | -66 | -4 | +0 | -1 | -4 | +0 | -0.9 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 18 | ROK MLE | AZL Royals | — | 222 | 194 | 35 | 6 | 4 | 4 | 21 | 82 | 6 | 8 | 4 | 180 | 281 | 314 | 595 | 134 | 284 | 37 | 9 | 268 | 68 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Lexington Legends | — | 532 | 473 | 93 | 19 | 5 | 12 | 43 | 231 | 10 | 20 | 18 | 197 | 278 | 334 | 612 | 137 | 337 | 43 | 8 | 268 | 68 | — | — | — | — | — | — |
| 2018 | 20 | AA MLE | Northwest Arkansas Naturals | — | 118 | 105 | 23 | 4 | 0 | 2 | 8 | 35 | 2 | 2 | 2 | 219 | 287 | 314 | 601 | 95 | 299 | 30 | 7 | 257 | 60 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | Wilmington Blue Rocks | — | 301 | 263 | 61 | 11 | 3 | 5 | 29 | 105 | 7 | 14 | 3 | 232 | 324 | 354 | 678 | 122 | 360 | 35 | 10 | 301 | 90 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | Northwest Arkansas Naturals | — | 546 | 487 | 100 | 17 | 2 | 7 | 48 | 195 | 9 | 53 | 12 | 205 | 289 | 292 | 580 | 86 | 321 | 36 | 9 | 262 | 63 | — | — | — | — | — | — |
| 2021 | 23 | MLB MLE | New York Mets | — | 18 | 18 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 56 | 56 | 111 | 167 | 56 | 200 | 72 | 0 | 76 | -63 | -3 | +0 | -1 | -4 | +0 | -0.9 |
| 2021 | 23 | AAA MLE | Syracuse Mets | — | 388 | 312 | 74 | 20 | 2 | 10 | 51 | 143 | 24 | 8 | 10 | 237 | 385 | 410 | 795 | 173 | 393 | 37 | 13 | 351 | 124 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | Syracuse Mets | — | 418 | 370 | 65 | 21 | 0 | 6 | 33 | 173 | 14 | 14 | 3 | 176 | 269 | 281 | 550 | 105 | 309 | 41 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2022 | 24 | A MLE | St. Lucie Mets | — | 35 | 30 | 5 | 2 | 1 | 0 | 2 | 16 | 3 | 1 | 3 | 167 | 286 | 300 | 586 | 133 | 334 | 46 | 6 | 250 | 55 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | Syracuse Mets | — | 77 | 68 | 12 | 6 | 0 | 1 | 7 | 21 | 1 | 2 | 0 | 176 | 263 | 309 | 572 | 132 | 225 | 27 | 9 | 247 | 53 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | AZL Royals | — | 222 | 194 | 35 | 6 | 4 | 4 | 21 | 82 | 6 | 8 | 4 | 180 | 281 | 314 | 595 | 134 | 284 | 37 | 9 | 268 | 68 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | AZL Royals | — | 222 | 182 | 49 | 9 | 6 | 6 | 33 | 57 | 6 | 8 | 4 | 269 | 398 | 484 | 882 | 214 | 358 | 26 | 15 | 390 | 68 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Lexington Legends | — | 532 | 473 | 93 | 19 | 5 | 12 | 43 | 231 | 10 | 20 | 18 | 197 | 278 | 334 | 612 | 137 | 348 | 43 | 8 | 268 | 68 | — | — | — | — | — | — |
| 2017 | 19 | A RAW | Lexington Legends | — | 532 | 451 | 107 | 24 | 6 | 17 | 65 | 171 | 10 | 20 | 18 | 237 | 346 | 430 | 776 | 193 | 338 | 32 | 12 | 344 | 68 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | 3 teams | — | 511 | 451 | 103 | 18 | 4 | 8 | 45 | 171 | 10 | 19 | 5 | 228 | 312 | 339 | 651 | 111 | 347 | 33 | 9 | 289 | 81 | — | — | — | — | — | — |
| 2018 | 20 | A+ RAW | 3 teams | — | 511 | 429 | 104 | 21 | 4 | 7 | 67 | 130 | 10 | 19 | 5 | 242 | 358 | 359 | 717 | 117 | 330 | 25 | 13 | 327 | 81 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 2 teams | — | 565 | 504 | 103 | 17 | 3 | 7 | 49 | 202 | 10 | 54 | 12 | 204 | 288 | 292 | 579 | 87 | 323 | 36 | 9 | 262 | 63 | — | — | — | — | — | — |
| 2019 | 21 | AA RAW | 2 teams | — | 565 | 488 | 128 | 21 | 3 | 9 | 65 | 159 | 10 | 54 | 12 | 262 | 361 | 373 | 734 | 111 | 370 | 28 | 12 | 335 | 63 | — | — | — | — | — | — |
| 2020 | 22 | INTL MLE | Indios de Mayaguez | — | 51 | 46 | 9 | 4 | 0 | 1 | 5 | 16 | 0 | 2 | 3 | 196 | 275 | 348 | 622 | 152 | 276 | 31 | 10 | — | — | — | — | — | — | — | — |
| 2020 | 22 | INTL RAW | Indios de Mayaguez | — | 51 | 46 | 9 | 4 | 0 | 1 | 5 | 16 | 0 | 2 | 3 | 196 | 275 | 348 | 622 | 152 | 276 | 31 | 10 | 281 | 76 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | 2 teams | — | 406 | 330 | 75 | 21 | 2 | 10 | 51 | 156 | 24 | 8 | 10 | 227 | 370 | 394 | 764 | 167 | 394 | 38 | 13 | 339 | 115 | — | — | — | — | — | — |
| 2021 | 23 | AAA RAW | 2 teams | — | 406 | 310 | 81 | 21 | 2 | 14 | 71 | 128 | 24 | 8 | 10 | 261 | 435 | 477 | 912 | 216 | 396 | 32 | 17 | 410 | 115 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | 2 teams | — | 453 | 400 | 70 | 23 | 1 | 6 | 35 | 189 | 17 | 15 | 6 | 175 | 270 | 282 | 552 | 107 | 311 | 42 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2022 | 24 | AAA RAW | 2 teams | — | 453 | 384 | 82 | 28 | 1 | 10 | 50 | 150 | 17 | 15 | 6 | 214 | 330 | 370 | 699 | 156 | 320 | 33 | 11 | 319 | 58 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | Syracuse Mets | — | 77 | 68 | 12 | 6 | 0 | 1 | 7 | 21 | 1 | 2 | 0 | 176 | 263 | 309 | 572 | 132 | 234 | 27 | 9 | 247 | 53 | — | — | — | — | — | — |
| 2023 | 25 | AAA RAW | Syracuse Mets | — | 77 | 65 | 12 | 6 | 0 | 1 | 10 | 17 | 1 | 2 | 0 | 185 | 303 | 323 | 626 | 138 | 229 | 22 | 13 | 286 | 53 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | AZL Royals | — | 222 | 193 | 35 | 6 | 4 | 4 | 21 | 82 | 6 | 8 | 4 | 181 | 281 | 316 | 597 | 135 | 284 | 37 | 9 | 268 | 68 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Lexington Legends | — | 532 | 474 | 93 | 19 | 5 | 12 | 43 | 231 | 10 | 20 | 18 | 196 | 278 | 333 | 611 | 137 | 337 | 43 | 8 | 268 | 68 | — | — | — | — | — | — |
| 2018 | 20 | A+ MLE | 3 teams | — | 511 | 451 | 103 | 18 | 4 | 8 | 45 | 171 | 10 | 19 | 5 | 228 | 312 | 339 | 651 | 111 | 343 | 33 | 9 | 289 | 81 | — | — | — | — | — | — |
| 2019 | 21 | AA MLE | 2 teams | — | 565 | 501 | 103 | 17 | 3 | 7 | 49 | 202 | 10 | 54 | 12 | 206 | 288 | 293 | 581 | 88 | 321 | 36 | 9 | 262 | 63 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | 2 teams | — | 406 | 328 | 75 | 21 | 2 | 10 | 51 | 156 | 24 | 8 | 10 | 229 | 370 | 396 | 767 | 168 | 384 | 38 | 13 | 339 | 115 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | 2 teams | — | 453 | 398 | 70 | 23 | 1 | 6 | 35 | 189 | 17 | 15 | 6 | 176 | 270 | 284 | 554 | 108 | 311 | 42 | 8 | 254 | 58 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | Syracuse Mets | — | 77 | 69 | 12 | 6 | 0 | 1 | 7 | 21 | 1 | 2 | 0 | 174 | 263 | 304 | 568 | 130 | 225 | 27 | 9 | 247 | 53 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 18 | 18 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 56 | 56 | 111 | 167 | 56 | 200 | 72 | 0 | 71 | 71 | -4 | +0 | -1 | -4 | +0 | -0.9 | |
| / 162G | — | A+C | — | 650 | 650 | 36 | 36 | 0 | 0 | 0 | 469 | 0 | 0 | 0 | 55 | 55 | 111 | 166 | 55 | 199 | 72 | 0 | 71 | 71 | -128 | +0 | -38 | -157 | +14 | -31.6 | |
| Career | — | MLE | — | 2817 | 2466 | 500 | 114 | 19 | 49 | 256 | 1068 | 78 | 128 | 58 | 203 | 298 | 324 | 622 | 121 | 332 | 38 | 9 | 273 | 71 | -4 | +0 | -1 | -4 | +0 | -0.9 | |
| / 162G | — | MLE | — | 650 | 569 | 114 | 26 | 4 | 11 | 59 | 246 | 18 | 30 | 13 | 200 | 296 | 318 | 614 | 118 | 327 | 38 | 9 | 273 | 71 | -128 | +0 | -38 | -157 | +14 | -31.6 | |
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.
2023 AAASyracuse Mets · 77 PAwOBA .283 → .247 (−36)K% 22.1% → 27.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.08% | ÷0.961 | ×1.200 | — | — | 27.58% |
| BB% (unintentional) /PA | 12.99% | ÷0.967 | ×0.690 | — | ×1.033 | 9.57% |
| HBP% /PA | 1.30% | — | ×0.940 | — | ×1.033 | 1.26% |
| Singles /BIP | 10.42% | ÷0.997 | ×0.930 | ×1.050 | ×1.033 | 10.54% |
| Doubles /BIP | 12.50% | ÷0.933 | ×0.830 | ×1.050 | ×1.033 | 12.06% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.050 | ×1.033 | 0.00% |
| Home runs /BIP | 2.08% | ÷1.003 | ×0.700 | — | ×1.033 | 1.50% |
Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — 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 ×1.050.
Result: wOBA .283 → .247; ISO .138 → .121; BABIP .229 → .225. 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).
2022 AAASyracuse Mets · 418 PAwOBA .309 → .254 (−55)K% 33.3% → 41.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.25% | ÷0.961 | ×1.200 | — | — | 41.52% |
| BB% (unintentional) /PA | 11.24% | ÷1.019 | ×0.690 | — | ×1.048 | 7.98% |
| HBP% /PA | 3.35% | — | ×0.940 | — | ×1.048 | 3.30% |
| Singles /BIP | 18.52% | ÷0.953 | ×0.930 | ×1.018 | ×1.048 | 19.27% |
| Doubles /BIP | 11.57% | ÷0.951 | ×0.830 | ×1.018 | ×1.048 | 10.77% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | ×1.018 | ×1.048 | 0.00% |
| Home runs /BIP | 4.63% | ÷1.033 | ×0.700 | — | ×1.048 | 3.29% |
Factors used: league row International League. Park (home-season share, regressed): HR 107, 1B 91, 2B 90, 3B 100, K 92, BB 104 — 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 ×1.018.
Result: wOBA .309 → .254; ISO .155 → .115; BABIP .314 → .309. 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).
2022 ASt. Lucie Mets · 35 PAwOBA .348 → .250 (−98)K% 31.4% → 44.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.43% | ÷0.959 | ×1.360 | — | — | 44.59% |
| BB% (unintentional) /PA | 8.57% | ÷1.081 | ×0.690 | — | ×0.980 | 5.36% |
| HBP% /PA | 8.57% | — | ×0.780 | — | ×0.980 | 6.55% |
| Singles /BIP | 16.67% | ÷1.052 | ×0.920 | — | ×0.980 | 14.29% |
| Doubles /BIP | 16.67% | ÷0.999 | ×0.830 | — | ×0.980 | 13.57% |
| Triples /BIP | 5.56% | ÷0.900 | ×0.910 | — | ×0.980 | 5.50% |
| Home runs /BIP | 0.00% | ÷0.949 | ×0.800 | — | ×0.980 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 110, 2B 100, 3B 80, K 92, BB 116 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average).
Result: wOBA .348 → .250; ISO .172 → .129; BABIP .389 → .334. 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 AAASyracuse Mets · 388 PAwOBA .416 → .351 (−65)K% 29.6% → 36.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.64% | ÷0.966 | ×1.200 | — | — | 36.82% |
| BB% (unintentional) /PA | 18.30% | ÷1.006 | ×0.690 | — | ×1.050 | 13.17% |
| HBP% /PA | 6.19% | — | ×0.940 | — | ×1.050 | 6.11% |
| Singles /BIP | 24.86% | ÷1.032 | ×0.930 | ×1.050 | ×1.050 | 24.69% |
| Doubles /BIP | 11.30% | ÷0.897 | ×0.830 | ×1.050 | ×1.050 | 11.53% |
| Triples /BIP | 1.13% | ÷0.986 | ×0.920 | ×1.050 | ×1.050 | 1.16% |
| Home runs /BIP | 7.91% | ÷1.039 | ×0.700 | — | ×1.050 | 5.59% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 106, 2B 79, 3B 97, K 93, BB 101 — 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 ×1.050.
Result: wOBA .416 → .351; ISO .226 → .179; BABIP .402 → .393. 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 AANorthwest Arkansas Naturals · 546 PAwOBA .329 → .262 (−68)K% 28.2% → 35.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.21% | ÷0.962 | ×1.220 | — | — | 35.76% |
| BB% (unintentional) /PA | 11.90% | ÷1.001 | ×0.700 | — | ×1.050 | 8.74% |
| HBP% /PA | 1.65% | — | ×0.870 | — | ×1.050 | 1.51% |
| Singles /BIP | 29.11% | ÷1.083 | ×0.920 | ×0.961 | ×1.050 | 24.97% |
| Doubles /BIP | 6.65% | ÷0.986 | ×0.840 | ×0.961 | ×1.050 | 5.71% |
| Triples /BIP | 0.95% | ÷1.091 | ×0.940 | ×0.961 | ×1.050 | 0.83% |
| Home runs /BIP | 2.53% | ÷0.901 | ×0.800 | — | ×1.050 | 2.36% |
Factors used: league row TL. Park (home-season share, regressed): HR 80, 1B 117, 2B 97, 3B 118, K 92, BB 100 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.961.
Result: wOBA .329 → .262; ISO .109 → .091; BABIP .374 → .321. 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 A+Wilmington Blue Rocks · 301 PAwOBA .362 → .301 (−61)K% 24.9% → 35.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.92% | ÷1.010 | ×1.420 | — | — | 35.03% |
| BB% (unintentional) /PA | 15.95% | ÷1.077 | ×0.630 | — | ×1.042 | 9.72% |
| HBP% /PA | 2.33% | — | ×0.860 | — | ×1.042 | 2.08% |
| Singles /BIP | 26.63% | ÷1.021 | ×0.940 | ×1.034 | ×1.042 | 26.42% |
| Doubles /BIP | 7.69% | ÷1.005 | ×0.830 | ×1.034 | ×1.042 | 6.85% |
| Triples /BIP | 2.37% | ÷0.965 | ×0.800 | ×1.034 | ×1.042 | 2.11% |
| Home runs /BIP | 2.37% | ÷0.773 | ×0.900 | — | ×1.042 | 2.87% |
Factors used: league row CAR. Park (home-season share, regressed): HR 55, 1B 104, 2B 101, 3B 93, K 102, BB 115 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.034.
Result: wOBA .362 → .301; ISO .135 → .129; BABIP .371 → .360. 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 AANorthwest Arkansas Naturals · 118 PAwOBA .298 → .257 (−40)K% 23.7% → 29.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.73% | ÷0.979 | ×1.220 | — | — | 29.56% |
| BB% (unintentional) /PA | 9.32% | ÷1.049 | ×0.700 | — | ×1.050 | 6.53% |
| HBP% /PA | 1.69% | — | ×0.870 | — | ×1.050 | 1.55% |
| Singles /BIP | 24.32% | ÷1.046 | ×0.920 | ×1.050 | ×1.050 | 23.58% |
| Doubles /BIP | 6.76% | ÷1.113 | ×0.840 | ×1.050 | ×1.050 | 5.62% |
| Triples /BIP | 0.00% | ÷0.956 | ×0.940 | ×1.050 | ×1.050 | 0.00% |
| Home runs /BIP | 2.70% | ÷1.008 | ×0.800 | — | ×1.050 | 2.25% |
Factors used: league row TL. Park (home-season share, regressed): HR 102, 1B 109, 2B 123, 3B 91, K 96, BB 110 — applied at half strength. Age: age 20 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (4.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .298 → .257; ISO .108 → .089; BABIP .319 → .299. 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 ALexington Legends · 532 PAwOBA .337 → .268 (−69)K% 32.1% → 43.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.14% | ÷0.991 | ×1.340 | — | — | 43.47% |
| BB% (unintentional) /PA | 12.22% | ÷1.053 | ×0.660 | — | ×1.045 | 8.00% |
| HBP% /PA | 1.88% | — | ×0.770 | — | ×1.045 | 1.51% |
| Singles /BIP | 21.43% | ÷0.936 | ×0.920 | ×1.036 | ×1.045 | 22.79% |
| Doubles /BIP | 8.57% | ÷0.982 | ×0.820 | ×1.036 | ×1.045 | 7.74% |
| Triples /BIP | 2.14% | ÷1.125 | ×0.940 | ×1.036 | ×1.045 | 1.94% |
| Home runs /BIP | 6.07% | ÷1.062 | ×0.820 | — | ×1.045 | 4.90% |
Factors used: league row SAL. Park (home-season share, regressed): HR 112, 1B 87, 2B 96, 3B 125, K 98, BB 111 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.
Result: wOBA .337 → .268; ISO .193 → .146; BABIP .338 → .337. 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 — .