Jacob Young
CF Washington Nationals| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 25 | MLBWSH | 521 | .256/.318/.331 | 3 | 33 | 83 | 2.0 |
| 2025 | 26 | MLBWSH | 364 | .231/.297/.287 | 2 | 15 | 64 | 0.4 |
| 2026 | 27 | MLBWSH | 471 | .252/.319/.390 | 10 | 18 | 99 | 1.4 |
| 2027PROJ | 28 | MLBWSH | 379 | .257/.324/.367 | 6 | 22 | 97 | 1.7 |
| 2028PROJ98% MLB | 29 | MLBWSH | 357 | .255/.321/.361 | 5 | 18 | 95 | 1.3 |
| 2029PROJ98% MLB | 30 | MLBWSH | 344 | .252/.317/.354 | 5 | 15 | 92 | 1.0 |
Tools · Recent Form · Splits · ContractCON 55 / POW 35
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) | |||||||||||||||||||||||||||||||
| 2021 | 22 | A | Fredericksburg Nationals | — | 114 | 101 | 21 | 6 | 0 | 0 | 10 | 17 | 1 | 13 | 0 | 208 | 286 | 267 | 553 | 59 | 247 | 15 | 9 | 254 | 26 | — | — | — | — | — | — |
| 2022 | 23 | A | Fredericksburg Nationals | — | 542 | 465 | 122 | 10 | 8 | 2 | 59 | 82 | 14 | 52 | 7 | 262 | 362 | 331 | 694 | 69 | 312 | 15 | 11 | 320 | 70 | — | — | — | — | — | — |
| 2023 | 24 | MLB | Washington Nationals | — | 121 | 107 | 27 | 7 | 1 | 0 | 10 | 22 | 1 | 13 | 0 | 252 | 322 | 336 | 658 | 84 | 318 | 18 | 8 | 293 | 86 | -2 | +3 | +3 | +2 | +3 | 0.9 |
| 2023 | 24 | AAA | Rochester Red Wings | — | 17 | 17 | 5 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 294 | 294 | 471 | 765 | 176 | 286 | 12 | 0 | 335 | 73 | — | — | — | — | — | — |
| 2023 | 24 | AA | Harrisburg Senators | — | 231 | 204 | 62 | 11 | 3 | 3 | 17 | 37 | 7 | 17 | 3 | 304 | 377 | 431 | 809 | 127 | 355 | 16 | 7 | 359 | 102 | — | — | — | — | — | — |
| 2023 | 24 | A+ | Wilmington Blue Rocks | — | 248 | 212 | 65 | 10 | 2 | 2 | 25 | 31 | 3 | 22 | 4 | 307 | 388 | 401 | 788 | 94 | 346 | 12 | 10 | 347 | 84 | — | — | — | — | — | — |
| 2024 | 25 | MLB | Washington Nationals | — | 521 | 468 | 120 | 24 | 1 | 3 | 30 | 102 | 12 | 33 | 10 | 256 | 318 | 331 | 649 | 75 | 321 | 20 | 6 | 291 | 83 | -11 | +3 | +14 | +2 | +11 | 2.0 |
| 2024 | 25 | AAA | Rochester Red Wings | — | 16 | 14 | 3 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 214 | 312 | 214 | 527 | 250 | 12 | 12 | 257 | 34 | — | — | — | — | — | — | |
| 2025 | 26 | MLB | Washington Nationals | — | 364 | 324 | 75 | 10 | 1 | 2 | 27 | 65 | 3 | 15 | 11 | 231 | 297 | 287 | 584 | 56 | 283 | 18 | 7 | 263 | 64 | -15 | -1 | +12 | +1 | +8 | 0.4 |
| 2026 | 27 | MLB | Washington Nationals | — | 471 | 421 | 106 | 22 | 3 | 10 | 33 | 78 | 9 | 18 | 4 | 252 | 319 | 390 | 709 | 138 | 286 | 17 | 7 | 314 | 99 | -0 | +2 | +0 | +2 | +10 | 1.4 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1477 | 1320 | 328 | 63 | 6 | 15 | 100 | 267 | 25 | 79 | 25 | 248 | 313 | 339 | 653 | 91 | 300 | 18 | 7 | 292 | 84 | -29 | +6 | +30 | +7 | +32 | 4.7 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 22 | A MLE | Fredericksburg Nationals | — | 114 | 105 | 19 | 5 | 0 | 0 | 6 | 24 | 1 | 13 | 0 | 181 | 232 | 229 | 461 | 48 | 223 | 21 | 5 | 206 | 26 | — | — | — | — | — | — |
| 2022 | 23 | A MLE | Fredericksburg Nationals | — | 542 | 483 | 113 | 9 | 8 | 1 | 41 | 115 | 14 | 52 | 7 | 234 | 312 | 292 | 604 | 58 | 296 | 21 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 24 | MLB MLE | Washington Nationals | — | 121 | 107 | 27 | 7 | 1 | 0 | 10 | 22 | 1 | 13 | 0 | 252 | 322 | 336 | 658 | 84 | 318 | 18 | 8 | 295 | 86 | -2 | +3 | +3 | +2 | +3 | 0.9 |
| 2023 | 24 | AAA MLE | Rochester Red Wings | — | 17 | 17 | 5 | 0 | 0 | 1 | 0 | 2 | 0 | 0 | 0 | 294 | 294 | 471 | 765 | 176 | 274 | 12 | 0 | 276 | 73 | — | — | — | — | — | — |
| 2023 | 24 | AA MLE | Harrisburg Senators | — | 231 | 209 | 60 | 10 | 3 | 2 | 12 | 45 | 7 | 17 | 3 | 287 | 346 | 392 | 739 | 105 | 341 | 19 | 5 | 319 | 102 | — | — | — | — | — | — |
| 2023 | 24 | A+ MLE | Wilmington Blue Rocks | — | 248 | 222 | 60 | 9 | 2 | 2 | 15 | 42 | 3 | 22 | 4 | 270 | 325 | 356 | 681 | 86 | 307 | 17 | 6 | 293 | 84 | — | — | — | — | — | — |
| 2024 | 25 | MLB MLE | Washington Nationals | — | 521 | 468 | 120 | 24 | 1 | 3 | 30 | 102 | 12 | 33 | 10 | 256 | 318 | 331 | 649 | 75 | 321 | 20 | 6 | 291 | 83 | -11 | +3 | +14 | +2 | +11 | 2.0 |
| 2024 | 25 | AAA MLE | Rochester Red Wings | — | 16 | 15 | 3 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 200 | 250 | 200 | 450 | 233 | 19 | 6 | 218 | 34 | — | — | — | — | — | — | |
| 2025 | 26 | MLB MLE | Washington Nationals | — | 364 | 324 | 75 | 10 | 1 | 2 | 27 | 65 | 3 | 15 | 11 | 231 | 297 | 287 | 584 | 56 | 283 | 18 | 7 | 263 | 64 | -15 | -1 | +12 | +1 | +8 | 0.4 |
| 2026 | 27 | MLB MLE | Washington Nationals | — | 471 | 422 | 107 | 22 | 4 | 10 | 33 | 78 | 9 | 18 | 4 | 254 | 321 | 396 | 717 | 142 | 286 | 17 | 7 | 315 | 99 | -0 | +2 | +0 | +2 | +10 | 1.4 |
| 2021 | 22 | A MLE | Fredericksburg Nationals | — | 114 | 105 | 19 | 5 | 0 | 0 | 6 | 24 | 1 | 13 | 0 | 181 | 232 | 229 | 461 | 48 | 232 | 21 | 5 | 206 | 26 | — | — | — | — | — | — |
| 2021 | 22 | A RAW | Fredericksburg Nationals | — | 114 | 101 | 21 | 6 | 0 | 0 | 10 | 17 | 1 | 13 | 0 | 208 | 286 | 267 | 553 | 59 | 247 | 15 | 9 | 254 | 26 | — | — | — | — | — | — |
| 2022 | 23 | A MLE | Fredericksburg Nationals | — | 542 | 483 | 113 | 9 | 8 | 1 | 41 | 115 | 14 | 52 | 7 | 234 | 312 | 292 | 604 | 58 | 303 | 21 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2022 | 23 | A RAW | Fredericksburg Nationals | — | 542 | 465 | 122 | 10 | 8 | 2 | 59 | 82 | 14 | 52 | 7 | 262 | 362 | 331 | 694 | 69 | 312 | 15 | 11 | 320 | 70 | — | — | — | — | — | — |
| 2023 | 24 | A+ MLE | 4 teams | — | 617 | 556 | 152 | 26 | 6 | 5 | 36 | 111 | 11 | 52 | 7 | 273 | 330 | 369 | 699 | 95 | 330 | 18 | 6 | 303 | 91 | — | — | — | — | — | — |
| 2023 | 24 | A+ RAW | 4 teams | — | 617 | 540 | 159 | 28 | 6 | 6 | 52 | 92 | 11 | 52 | 7 | 294 | 368 | 402 | 770 | 107 | 342 | 15 | 8 | 341 | 91 | — | — | — | — | — | — |
| 2024 | 25 | MLB MLE | 2 teams | — | 537 | 483 | 123 | 24 | 1 | 3 | 31 | 105 | 12 | 34 | 10 | 255 | 316 | 327 | 643 | 72 | 318 | 20 | 6 | 289 | 82 | -12 | +3 | +14 | +2 | +12 | 1.9 |
| 2024 | 25 | MLB RAW | 2 teams | — | 537 | 482 | 123 | 24 | 1 | 3 | 32 | 104 | 12 | 34 | 10 | 255 | 317 | 328 | 645 | 73 | 318 | 19 | 6 | 290 | 82 | -12 | +3 | +14 | +2 | +12 | 1.9 |
| 2025 | 26 | MLB MLE | Washington Nationals | — | 364 | 324 | 75 | 10 | 1 | 2 | 27 | 65 | 3 | 15 | 11 | 231 | 297 | 287 | 584 | 56 | 283 | 18 | 7 | 263 | 64 | -15 | -1 | +12 | +1 | +8 | 0.4 |
| 2025 | 26 | MLB RAW | Washington Nationals | — | 364 | 324 | 75 | 10 | 1 | 2 | 27 | 65 | 3 | 15 | 11 | 231 | 297 | 287 | 584 | 56 | 283 | 18 | 7 | 263 | 64 | -15 | -1 | +12 | +1 | +8 | 0.4 |
| 2026 | 27 | MLB MLE | Washington Nationals | — | 471 | 422 | 107 | 22 | 4 | 10 | 33 | 78 | 9 | 18 | 4 | 254 | 321 | 396 | 717 | 142 | 288 | 17 | 7 | 315 | 99 | -0 | +2 | +0 | +2 | +10 | 1.4 |
| 2026 | 27 | MLB RAW | Washington Nationals | — | 471 | 421 | 106 | 22 | 3 | 10 | 33 | 78 | 9 | 18 | 4 | 252 | 319 | 390 | 709 | 138 | 286 | 17 | 7 | 314 | 99 | -0 | +2 | +0 | +2 | +10 | 1.4 |
| 2021 | 22 | A MLE | Fredericksburg Nationals | — | 114 | 106 | 19 | 5 | 0 | 0 | 6 | 24 | 1 | 13 | 0 | 179 | 232 | 226 | 459 | 47 | 223 | 21 | 5 | 206 | 26 | — | — | — | — | — | — |
| 2022 | 23 | A MLE | Fredericksburg Nationals | — | 542 | 482 | 113 | 9 | 8 | 1 | 41 | 115 | 14 | 52 | 7 | 234 | 312 | 293 | 605 | 58 | 296 | 21 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 24 | A+ MLE | 4 teams | — | 617 | 565 | 152 | 26 | 6 | 5 | 36 | 111 | 11 | 52 | 7 | 269 | 330 | 363 | 693 | 94 | 321 | 18 | 6 | 303 | 91 | — | — | — | — | — | — |
| 2024 | 25 | MLB MLE | 2 teams | — | 537 | 489 | 123 | 24 | 1 | 3 | 31 | 105 | 12 | 34 | 10 | 252 | 316 | 323 | 639 | 72 | 318 | 20 | 6 | 289 | 82 | — | — | — | — | — | — |
| 2025 | 26 | MLB MLE | Washington Nationals | — | 364 | 331 | 75 | 10 | 1 | 2 | 27 | 65 | 3 | 15 | 11 | 227 | 297 | 281 | 578 | 54 | 283 | 18 | 7 | 263 | 64 | — | — | — | — | — | — |
| 2026 | 27 | MLB MLE | Washington Nationals | — | 471 | 426 | 107 | 22 | 4 | 10 | 33 | 78 | 9 | 18 | 4 | 251 | 321 | 392 | 713 | 141 | 286 | 17 | 7 | 315 | 99 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 25 | MLB MLE | 2 teams | — | 537 | 489 | 123 | 24 | 1 | 3 | 31 | 105 | 12 | 34 | 10 | 252 | 316 | 323 | 639 | 72 | 318 | 20 | 6 | 289 | 82 | — | — | — | — | — | — |
| 2025 | 26 | MLB MLE | Washington Nationals | — | 364 | 331 | 75 | 10 | 1 | 2 | 27 | 65 | 3 | 15 | 11 | 227 | 297 | 281 | 578 | 54 | 283 | 18 | 7 | 263 | 64 | — | — | — | — | — | — |
| 2026 | 27 | MLB MLE | Washington Nationals | — | 471 | 426 | 107 | 22 | 4 | 10 | 33 | 78 | 9 | 18 | 4 | 251 | 321 | 392 | 713 | 141 | 286 | 17 | 7 | 315 | 99 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 28 | MLB MLE | WSH | 100% | 448 | 405 | 105 | 19 | 3 | 7 | 32 | 78 | 8 | 26 | 5 | 258 | 324 | 369 | 693 | 112 | 301 | 17 | 7 | 312 | 97 | -2 | +3 | +7 | +2 | +10 | 1.9 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 28 | MLB CTX | WSH | 100% | 379 | 343 | 88 | 16 | 2 | 6 | 27 | 66 | 6 | 22 | 4 | 257 | 324 | 367 | 691 | 110 | 300 | 17 | 7 | 311 | 97 | -1 | +3 | +6 | +1 | +8 | 1.7 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 29 | MLB MLE | WSH | 98% | 364 | 329 | 84 | 15 | 2 | 5 | 26 | 64 | 6 | 19 | 3 | 256 | 321 | 363 | 685 | 108 | 300 | 18 | 7 | 308 | 95 | -2 | +3 | +4 | +1 | +8 | 1.4 |
| 2029 | 30 | MLB MLE | WSH | 98% | 351 | 317 | 80 | 14 | 2 | 5 | 25 | 63 | 6 | 15 | 3 | 253 | 318 | 356 | 674 | 103 | 298 | 18 | 7 | 304 | 92 | -3 | +2 | +3 | +1 | +8 | 1.0 |
| 2030 | 31 | MLB MLE | WSH | 98% | 332 | 301 | 75 | 13 | 2 | 4 | 23 | 61 | 5 | 11 | 2 | 248 | 313 | 346 | 659 | 98 | 295 | 18 | 7 | 297 | 87 | -5 | +1 | +2 | +1 | +7 | 0.7 |
| 2031 | 32 | MLB MLE | WSH | 98% | 307 | 278 | 68 | 12 | 2 | 3 | 21 | 58 | 5 | 7 | 2 | 242 | 306 | 332 | 638 | 90 | 291 | 19 | 7 | 289 | 82 | -7 | +1 | +1 | +1 | +7 | 0.3 |
| 2028 | 29 | MLB CTX | WSH | 98% | 357 | 323 | 82 | 15 | 2 | 5 | 25 | 63 | 6 | 18 | 3 | 255 | 321 | 361 | 682 | 106 | 299 | 18 | 7 | 307 | 95 | -2 | +2 | +4 | +1 | +8 | 1.3 |
| 2029 | 30 | MLB CTX | WSH | 98% | 344 | 311 | 79 | 14 | 2 | 5 | 24 | 62 | 6 | 15 | 3 | 252 | 317 | 354 | 671 | 102 | 298 | 18 | 7 | 303 | 92 | -3 | +2 | +3 | +1 | +7 | 1.0 |
| 2030 | 31 | MLB CTX | WSH | 98% | 325 | 294 | 73 | 13 | 2 | 4 | 23 | 59 | 5 | 11 | 2 | 248 | 312 | 344 | 656 | 96 | 295 | 18 | 7 | 297 | 87 | -5 | +1 | +2 | +1 | +7 | 0.7 |
| 2031 | 32 | MLB CTX | WSH | 98% | 301 | 272 | 66 | 12 | 1 | 3 | 21 | 56 | 5 | 7 | 2 | 242 | 306 | 331 | 636 | 89 | 291 | 19 | 7 | 288 | 82 | -6 | +1 | +1 | +1 | +7 | 0.3 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 2804 | 2520 | 628 | 117 | 13 | 32 | 193 | 507 | 47 | 130 | 35 | 249 | 314 | 344 | 658 | 95 | 299 | 18 | 7 | 295 | 84 | -46 | +12 | +40 | +12 | +61 | 8.0 | |
| / 162G | — | A+C | — | 650 | 584 | 145 | 27 | 3 | 7 | 45 | 118 | 11 | 30 | 8 | 248 | 314 | 341 | 655 | 92 | 299 | 18 | 7 | 295 | 84 | -11 | +3 | +9 | +3 | +14 | 1.9 | |
| Career | — | MLE | — | 4378 | 3941 | 984 | 166 | 30 | 44 | 296 | 810 | 78 | 258 | 53 | 250 | 315 | 341 | 655 | 91 | 302 | 19 | 7 | 293 | 84 | -48 | +15 | +45 | +13 | +70 | 9.8 | |
| / 162G | — | MLE | — | 650 | 585 | 146 | 25 | 4 | 7 | 44 | 120 | 12 | 38 | 8 | 250 | 316 | 342 | 658 | 92 | 301 | 18 | 7 | 293 | 84 | -10 | +3 | +9 | +3 | +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.
2024 AAARochester Red Wings · 16 PAwOBA .251 → .218 (−33)K% 12.5% → 15.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.50% | ÷0.958 | ×1.200 | — | — | 15.65% |
| BB% (unintentional) /PA | 12.50% | ÷0.969 | ×0.690 | — | ×1.033 | 9.19% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 25.00% | ÷1.029 | ×0.930 | — | ×1.033 | 23.34% |
| Doubles /BIP | 0.00% | ÷0.962 | ×0.830 | — | ×1.033 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.033 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.986 | ×0.700 | — | ×1.033 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 97, 1B 106, 2B 92, 3B 130, K 92, BB 94 — 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).
Result: wOBA .251 → .218; ISO .000 → .000; BABIP .250 → .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).
2023 A+Wilmington Blue Rocks · 248 PAwOBA .342 → .293 (−49)K% 12.5% → 16.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.50% | ÷0.973 | ×1.310 | — | — | 16.84% |
| BB% (unintentional) /PA | 10.08% | ÷1.005 | ×0.600 | — | ×0.988 | 5.95% |
| HBP% /PA | 1.21% | — | ×0.770 | — | ×0.988 | 0.92% |
| Singles /BIP | 28.18% | ÷0.981 | ×0.870 | ×1.013 | ×0.988 | 25.02% |
| Doubles /BIP | 5.52% | ÷0.894 | ×0.780 | ×1.013 | ×0.988 | 4.83% |
| Triples /BIP | 1.10% | ÷0.913 | ×0.850 | ×1.013 | ×0.988 | 1.03% |
| Home runs /BIP | 1.10% | ÷0.913 | ×0.880 | — | ×0.988 | 1.05% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 83, 1B 96, 2B 79, 3B 83, K 95, BB 101 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .342 → .293; ISO .094 → .090; BABIP .346 → .307. 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).
2023 AAHarrisburg Senators · 231 PAwOBA .353 → .319 (−34)K% 16.0% → 19.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.02% | ÷1.005 | ×1.220 | — | — | 19.45% |
| BB% (unintentional) /PA | 7.36% | ÷1.016 | ×0.700 | — | ×1.012 | 5.13% |
| HBP% /PA | 3.03% | — | ×0.850 | — | ×1.012 | 2.61% |
| Singles /BIP | 26.95% | ÷1.013 | ×0.970 | ×1.018 | ×1.012 | 26.59% |
| Doubles /BIP | 6.59% | ÷1.033 | ×0.860 | ×1.018 | ×1.012 | 5.65% |
| Triples /BIP | 1.80% | ÷0.935 | ×0.950 | ×1.018 | ×1.012 | 1.88% |
| Home runs /BIP | 1.80% | ÷1.115 | ×0.780 | — | ×1.012 | 1.27% |
Factors used: league row EL. Park (home-season share, regressed): HR 123, 1B 103, 2B 107, 3B 87, K 101, BB 103 — 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 ×1.018.
Result: wOBA .353 → .319; ISO .127 → .109; BABIP .355 → .341. 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).
2023 AAARochester Red Wings · 17 PAwOBA .325 → .276 (−49)K% 11.8% → 14.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.76% | ÷0.980 | ×1.200 | — | — | 14.40% |
| BB% (unintentional) /PA | 0.00% | ÷0.956 | ×0.690 | — | ×1.048 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.048 | 0.00% |
| Singles /BIP | 26.67% | ÷0.996 | ×0.930 | — | ×1.048 | 26.11% |
| Doubles /BIP | 0.00% | ÷1.137 | ×0.830 | — | ×1.048 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.048 | 0.00% |
| Home runs /BIP | 6.67% | ÷1.058 | ×0.700 | — | ×1.048 | 4.62% |
Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 99, 2B 127, 3B 130, K 96, BB 91 — 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).
Result: wOBA .325 → .276; ISO .176 → .119; BABIP .286 → .274. 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 AFredericksburg Nationals · 542 PAwOBA .314 → .271 (−43)K% 15.1% → 21.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.13% | ÷0.966 | ×1.360 | — | — | 21.30% |
| BB% (unintentional) /PA | 10.70% | ÷0.970 | ×0.690 | — | ×0.990 | 7.54% |
| HBP% /PA | 2.58% | — | ×0.780 | — | ×0.990 | 1.99% |
| Singles /BIP | 26.63% | ÷0.986 | ×0.920 | ×1.027 | ×0.990 | 25.26% |
| Doubles /BIP | 2.61% | ÷0.933 | ×0.830 | ×1.027 | ×0.990 | 2.36% |
| Triples /BIP | 2.09% | ÷0.910 | ×0.910 | ×1.027 | ×0.990 | 2.12% |
| Home runs /BIP | 0.52% | ÷1.074 | ×0.800 | — | ×0.990 | 0.39% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 115, 1B 97, 2B 87, 3B 82, K 93, BB 94 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.
Result: wOBA .314 → .271; ISO .069 → .063; BABIP .312 → .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).
2021 AFredericksburg Nationals · 114 PAwOBA .250 → .206 (−45)K% 14.9% → 21.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.91% | ÷0.967 | ×1.360 | — | — | 20.97% |
| BB% (unintentional) /PA | 8.77% | ÷1.100 | ×0.690 | — | — | 5.50% |
| HBP% /PA | 0.88% | — | ×0.780 | — | — | 0.68% |
| Singles /BIP | 17.86% | ÷1.006 | ×0.920 | ×0.996 | — | 16.27% |
| Doubles /BIP | 7.14% | ÷0.942 | ×0.830 | ×0.996 | — | 6.27% |
| Triples /BIP | 0.00% | ÷0.901 | ×0.910 | ×0.996 | — | 0.00% |
| Home runs /BIP | 0.00% | ÷1.159 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 132, 1B 101, 2B 88, 3B 80, K 93, BB 120 — 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 ×0.996.
Result: wOBA .250 → .206; ISO .059 → .052; BABIP .247 → .223. 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).