Dylan Crews
RF Washington Nationals| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 22 | AAA/AAWSH | 449 | .270/.345/.451 | 13 | 25 | 88 | — | .240/.302/.390 |
| 2024 | 22 | MLBWSH | 132 | .218/.290/.353 | 3 | 12 | 83 | -0.3 | |
| 2025 | 23 | AAAWSH | 45 | .244/.311/.415 | 2 | 1 | 76 | — | .220/.289/.317 |
| 2025 | 23 | MLBWSH | 322 | .208/.280/.352 | 10 | 17 | 80 | -0.3 | |
| 2026 | 24 | AAAWSH | 177 | .258/.347/.432 | 5 | 7 | 78 | — | .224/.290/.360 |
| 2026 | 24 | MLBWSH | 443 | .223/.290/.374 | 13 | 12 | 87 | -0.1 | |
| 2027PROJ | 25 | MLBWSH | 486 | .235/.304/.389 | 15 | 26 | 95 | 0.9 | |
| 2028PROJ92% MLB | 26 | MLBWSH | 523 | .235/.304/.389 | 16 | 28 | 95 | 1.0 | |
| 2029PROJ92% MLB | 27 | MLBWSH | 508 | .234/.303/.386 | 15 | 27 | 94 | 0.9 |
Tools · Recent Form · Splits · ContractCON 50 / POW 50
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) | |||||||||||||||||||||||||||||||
| 2023 | 21 | AA | Harrisburg Senators | — | 85 | 72 | 15 | 5 | 0 | 0 | 8 | 19 | 4 | 3 | 3 | 208 | 321 | 278 | 599 | 69 | 278 | 22 | 9 | 282 | 51 | — | — | — | — | — | — |
| 2023 | 21 | A | Fredericksburg Nationals | — | 71 | 62 | 22 | 3 | 0 | 5 | 6 | 19 | 2 | 1 | 3 | 355 | 429 | 645 | 1.074 | 290 | 436 | 27 | 8 | 459 | 126 | — | — | — | — | — | — |
| 2024 | 22 | MLB | Washington Nationals | — | 132 | 119 | 26 | 5 | 1 | 3 | 11 | 26 | 1 | 12 | 3 | 218 | 290 | 353 | 643 | 134 | 253 | 20 | 8 | 288 | 83 | -3 | +1 | +2 | -6 | +3 | -0.3 |
| 2024 | 22 | AAA | Rochester Red Wings | — | 238 | 211 | 56 | 10 | 3 | 8 | 20 | 42 | 5 | 10 | 2 | 265 | 343 | 455 | 798 | 190 | 294 | 18 | 8 | 351 | 87 | — | — | — | — | — | — |
| 2024 | 22 | AA | Harrisburg Senators | — | 211 | 186 | 51 | 11 | 3 | 5 | 16 | 50 | 5 | 15 | 3 | 274 | 346 | 446 | 792 | 172 | 343 | 24 | 8 | 347 | 90 | — | — | — | — | — | — |
| 2025 | 23 | MLB | Washington Nationals | — | 322 | 293 | 61 | 8 | 2 | 10 | 24 | 76 | 5 | 17 | 5 | 208 | 280 | 352 | 631 | 143 | 246 | 24 | 7 | 285 | 80 | -8 | +1 | +0 | -4 | +7 | -0.3 |
| 2025 | 23 | AAA | Rochester Red Wings | — | 45 | 41 | 10 | 1 | 0 | 2 | 1 | 7 | 3 | 1 | 0 | 244 | 311 | 415 | 726 | 171 | 250 | 16 | 2 | 326 | 76 | — | — | — | — | — | — |
| 2026 | 24 | MLB | Washington Nationals | — | 443 | 404 | 90 | 20 | 1 | 13 | 30 | 107 | 8 | 12 | 0 | 223 | 290 | 374 | 663 | 151 | 270 | 24 | 7 | 298 | 87 | -7 | +2 | +0 | -7 | +10 | -0.1 |
| 2026 | 24 | AAA | Rochester Red Wings | — | 177 | 155 | 40 | 10 | 1 | 5 | 19 | 44 | 2 | 7 | 2 | 258 | 347 | 432 | 779 | 174 | 327 | 25 | 11 | 346 | 78 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 897 | 816 | 177 | 33 | 4 | 26 | 65 | 209 | 14 | 41 | 8 | 217 | 286 | 363 | 649 | 146 | 259 | 23 | 7 | 292 | 84 | -17 | +5 | +2 | -17 | +19 | -0.8 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2023 | 21 | AA MLE | Harrisburg Senators | — | 85 | 74 | 14 | 4 | 0 | 0 | 6 | 23 | 4 | 3 | 3 | 189 | 286 | 243 | 529 | 54 | 263 | 27 | 7 | 244 | 51 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Fredericksburg Nationals | — | 71 | 64 | 18 | 2 | 0 | 4 | 4 | 26 | 2 | 1 | 3 | 281 | 343 | 500 | 843 | 219 | 384 | 37 | 6 | 355 | 126 | — | — | — | — | — | — |
| 2024 | 22 | MLB MLE | Washington Nationals | — | 132 | 119 | 26 | 5 | 1 | 3 | 11 | 26 | 1 | 12 | 3 | 218 | 290 | 353 | 643 | 134 | 253 | 20 | 8 | 290 | 83 | -3 | +1 | +2 | -6 | +3 | -0.3 |
| 2024 | 22 | AAA MLE | Rochester Red Wings | — | 238 | 216 | 51 | 9 | 3 | 6 | 15 | 53 | 5 | 10 | 2 | 236 | 301 | 389 | 690 | 153 | 277 | 22 | 6 | 297 | 87 | — | — | — | — | — | — |
| 2024 | 22 | AA MLE | Harrisburg Senators | — | 211 | 192 | 47 | 10 | 3 | 4 | 11 | 61 | 5 | 15 | 3 | 245 | 303 | 391 | 694 | 146 | 323 | 29 | 5 | 301 | 90 | — | — | — | — | — | — |
| 2025 | 23 | MLB MLE | Washington Nationals | — | 322 | 293 | 61 | 8 | 2 | 10 | 24 | 76 | 5 | 17 | 5 | 208 | 280 | 352 | 631 | 143 | 246 | 24 | 7 | 287 | 80 | -8 | +1 | +0 | -4 | +7 | -0.3 |
| 2025 | 23 | AAA MLE | Rochester Red Wings | — | 45 | 41 | 9 | 1 | 0 | 1 | 1 | 8 | 3 | 1 | 0 | 220 | 289 | 317 | 606 | 98 | 240 | 18 | 2 | 281 | 76 | — | — | — | — | — | — |
| 2026 | 24 | MLB MLE | Washington Nationals | — | 443 | 404 | 90 | 20 | 1 | 13 | 30 | 107 | 8 | 12 | 0 | 223 | 290 | 374 | 663 | 151 | 270 | 24 | 7 | 297 | 87 | -7 | +2 | +0 | -7 | +10 | -0.1 |
| 2026 | 24 | AAA MLE | Rochester Red Wings | — | 177 | 161 | 36 | 8 | 1 | 4 | 13 | 53 | 2 | 7 | 2 | 224 | 290 | 360 | 650 | 137 | 300 | 30 | 7 | 283 | 78 | — | — | — | — | — | — |
| 2023 | 21 | AA MLE | 2 teams | — | 156 | 138 | 32 | 6 | 0 | 4 | 10 | 49 | 6 | 4 | 6 | 232 | 312 | 362 | 674 | 130 | 322 | 31 | 6 | 295 | 85 | — | — | — | — | — | — |
| 2023 | 21 | AA RAW | 2 teams | — | 156 | 134 | 37 | 8 | 0 | 5 | 14 | 38 | 6 | 4 | 6 | 276 | 370 | 448 | 818 | 172 | 344 | 24 | 9 | 363 | 85 | — | — | — | — | — | — |
| 2024 | 22 | AAA MLE | 3 teams | — | 581 | 527 | 124 | 24 | 7 | 13 | 37 | 139 | 11 | 37 | 8 | 235 | 299 | 381 | 681 | 146 | 291 | 24 | 6 | 297 | 87 | — | — | — | — | — | — |
| 2024 | 22 | AAA RAW | 3 teams | — | 581 | 516 | 133 | 26 | 7 | 16 | 47 | 118 | 11 | 37 | 8 | 258 | 332 | 428 | 760 | 171 | 302 | 20 | 8 | 335 | 87 | — | — | — | — | — | — |
| 2025 | 23 | MLB MLE | 2 teams | — | 367 | 334 | 70 | 9 | 2 | 11 | 25 | 84 | 8 | 18 | 5 | 210 | 281 | 347 | 628 | 138 | 247 | 23 | 7 | 286 | 80 | -9 | +2 | +0 | -4 | +8 | -0.3 |
| 2025 | 23 | MLB RAW | 2 teams | — | 367 | 334 | 71 | 9 | 2 | 12 | 25 | 83 | 8 | 18 | 5 | 213 | 283 | 359 | 643 | 147 | 247 | 23 | 7 | 290 | 80 | -9 | +2 | +0 | -4 | +8 | -0.3 |
| 2026 | 24 | MLB MLE | 2 teams | — | 620 | 565 | 126 | 28 | 2 | 17 | 43 | 160 | 10 | 19 | 2 | 223 | 290 | 370 | 660 | 147 | 279 | 26 | 7 | 293 | 85 | -11 | +3 | +0 | -7 | +13 | -0.2 |
| 2026 | 24 | MLB RAW | 2 teams | — | 620 | 559 | 130 | 30 | 2 | 18 | 49 | 151 | 10 | 19 | 2 | 233 | 306 | 390 | 696 | 157 | 286 | 24 | 8 | 312 | 85 | -11 | +3 | +0 | -7 | +13 | -0.2 |
| 2023 | 21 | AA MLE | 2 teams | — | 156 | 139 | 32 | 6 | 0 | 4 | 10 | 49 | 6 | 4 | 6 | 230 | 312 | 360 | 671 | 129 | 318 | 31 | 6 | 295 | 85 | — | — | — | — | — | — |
| 2024 | 22 | AAA MLE | 3 teams | — | 581 | 528 | 124 | 24 | 7 | 13 | 37 | 139 | 11 | 37 | 8 | 235 | 299 | 381 | 680 | 146 | 288 | 24 | 6 | 297 | 87 | — | — | — | — | — | — |
| 2025 | 23 | MLB MLE | 2 teams | — | 367 | 331 | 70 | 9 | 2 | 11 | 25 | 84 | 8 | 18 | 5 | 211 | 281 | 350 | 631 | 139 | 246 | 23 | 7 | 286 | 80 | — | — | — | — | — | — |
| 2026 | 24 | MLB MLE | 2 teams | — | 620 | 562 | 126 | 28 | 2 | 17 | 43 | 160 | 10 | 19 | 2 | 224 | 290 | 372 | 662 | 148 | 279 | 26 | 7 | 293 | 85 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | AAA MLE | 3 teams | — | 581 | 528 | 124 | 24 | 7 | 13 | 37 | 139 | 11 | 37 | 8 | 235 | 299 | 381 | 680 | 146 | 288 | 24 | 6 | 297 | 87 | — | — | — | — | — | — |
| 2025 | 23 | MLB MLE | 2 teams | — | 367 | 331 | 70 | 9 | 2 | 11 | 25 | 84 | 8 | 18 | 5 | 211 | 281 | 350 | 631 | 139 | 246 | 23 | 7 | 286 | 80 | — | — | — | — | — | — |
| 2026 | 24 | MLB MLE | 2 teams | — | 620 | 562 | 126 | 28 | 2 | 17 | 43 | 160 | 10 | 19 | 2 | 224 | 290 | 372 | 662 | 148 | 279 | 26 | 7 | 293 | 85 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB MLE | WSH | 100% | 555 | 500 | 119 | 22 | 3 | 17 | 41 | 135 | 9 | 30 | 5 | 236 | 304 | 391 | 695 | 155 | 287 | 24 | 7 | 309 | 95 | -3 | +4 | +4 | -6 | +12 | 1.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 25 | MLB CTX | WSH | 100% | 486 | 439 | 104 | 20 | 2 | 15 | 36 | 118 | 8 | 26 | 5 | 235 | 304 | 389 | 693 | 154 | 286 | 24 | 7 | 309 | 95 | -3 | +3 | +3 | -5 | +11 | 0.9 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 26 | MLB MLE | WSH | 92% | 568 | 512 | 120 | 22 | 3 | 17 | 42 | 138 | 9 | 30 | 6 | 235 | 304 | 390 | 695 | 155 | 286 | 24 | 7 | 309 | 95 | -3 | +4 | +4 | -6 | +12 | 1.0 |
| 2029 | 27 | MLB MLE | WSH | 92% | 552 | 498 | 117 | 22 | 3 | 16 | 41 | 135 | 8 | 29 | 5 | 234 | 303 | 387 | 690 | 153 | 286 | 24 | 7 | 307 | 94 | -4 | +4 | +4 | -6 | +12 | 1.0 |
| 2030 | 28 | MLB MLE | WSH | 92% | 537 | 484 | 113 | 21 | 3 | 16 | 40 | 132 | 8 | 25 | 5 | 232 | 301 | 382 | 683 | 150 | 284 | 25 | 7 | 304 | 92 | -5 | +3 | +3 | -6 | +12 | 0.7 |
| 2031 | 29 | MLB MLE | WSH | 92% | 522 | 471 | 108 | 20 | 2 | 15 | 38 | 130 | 8 | 22 | 4 | 229 | 298 | 375 | 673 | 146 | 282 | 25 | 7 | 300 | 89 | -7 | +3 | +2 | -6 | +11 | 0.4 |
| 2032 | 30 | MLB MLE | WSH | 92% | 443 | 402 | 91 | 17 | 2 | 12 | 32 | 112 | 6 | 15 | 3 | 226 | 293 | 366 | 660 | 141 | 279 | 25 | 7 | 295 | 86 | -7 | +2 | +1 | -5 | +10 | -0.0 |
| 2028 | 26 | MLB CTX | WSH | 92% | 523 | 471 | 111 | 21 | 2 | 16 | 39 | 127 | 8 | 28 | 5 | 235 | 304 | 389 | 693 | 154 | 286 | 24 | 7 | 308 | 95 | -3 | +4 | +3 | -6 | +11 | 1.0 |
| 2029 | 27 | MLB CTX | WSH | 92% | 508 | 457 | 107 | 20 | 2 | 15 | 38 | 124 | 8 | 27 | 5 | 234 | 303 | 386 | 689 | 152 | 285 | 24 | 7 | 307 | 94 | -3 | +3 | +3 | -5 | +11 | 0.9 |
| 2030 | 28 | MLB CTX | WSH | 92% | 494 | 448 | 104 | 20 | 2 | 14 | 36 | 122 | 7 | 23 | 4 | 232 | 301 | 381 | 681 | 149 | 284 | 25 | 7 | 304 | 92 | -5 | +3 | +2 | -5 | +11 | 0.6 |
| 2031 | 29 | MLB CTX | WSH | 92% | 480 | 435 | 100 | 19 | 2 | 14 | 35 | 120 | 7 | 20 | 4 | 229 | 297 | 374 | 671 | 145 | 282 | 25 | 7 | 300 | 89 | -6 | +2 | +2 | -5 | +10 | 0.3 |
| 2032 | 30 | MLB CTX | WSH | 92% | 408 | 369 | 83 | 16 | 1 | 11 | 30 | 103 | 6 | 14 | 3 | 225 | 293 | 365 | 658 | 140 | 279 | 25 | 7 | 295 | 86 | -7 | +2 | +1 | -4 | +9 | -0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 3310 | 2996 | 682 | 129 | 13 | 96 | 243 | 805 | 50 | 153 | 29 | 228 | 296 | 376 | 672 | 148 | 278 | 24 | 7 | 300 | 89 | -41 | +19 | +13 | -43 | +72 | 2.0 | |
| / 162G | — | A+C | — | 650 | 588 | 134 | 25 | 3 | 19 | 48 | 158 | 10 | 30 | 6 | 228 | 297 | 378 | 675 | 150 | 278 | 24 | 7 | 300 | 89 | -8 | +4 | +3 | -8 | +14 | 0.4 | |
| Career | — | MLE | — | 4832 | 4370 | 1005 | 188 | 27 | 136 | 344 | 1197 | 82 | 225 | 49 | 230 | 298 | 379 | 677 | 149 | 284 | 25 | 7 | 300 | 89 | -46 | +23 | +17 | -50 | +87 | 3.2 | |
| / 162G | — | MLE | — | 650 | 588 | 135 | 25 | 4 | 18 | 46 | 161 | 11 | 30 | 7 | 230 | 297 | 378 | 675 | 148 | 284 | 25 | 7 | 300 | 89 | -7 | +4 | +3 | -8 | +14 | 0.5 | |
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.
2026 AAARochester Red Wings · 177 PAwOBA .337 → .283 (−54)K% 24.9% → 29.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.86% | ÷1.000 | ×1.200 | — | — | 29.83% |
| BB% (unintentional) /PA | 10.17% | ÷1.000 | ×0.690 | — | ×1.048 | 7.35% |
| HBP% /PA | 1.13% | — | ×0.940 | — | ×1.048 | 1.11% |
| Singles /BIP | 21.62% | ÷1.000 | ×0.930 | ×0.981 | ×1.048 | 20.67% |
| Doubles /BIP | 9.01% | ÷1.000 | ×0.830 | ×0.981 | ×1.048 | 7.69% |
| Triples /BIP | 0.90% | ÷1.000 | ×0.970 | ×0.981 | ×1.048 | 0.90% |
| Home runs /BIP | 4.50% | ÷1.000 | ×0.700 | — | ×1.048 | 3.30% |
Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.981.
Result: wOBA .337 → .283; ISO .174 → .137; BABIP .327 → .300. 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).
2025 AAARochester Red Wings · 45 PAwOBA .317 → .281 (−36)K% 15.6% → 18.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.56% | ÷1.028 | ×1.200 | — | — | 18.16% |
| BB% (unintentional) /PA | 2.22% | ÷0.978 | ×0.690 | — | ×1.050 | 1.65% |
| HBP% /PA | 6.67% | — | ×0.940 | — | ×1.050 | 6.58% |
| Singles /BIP | 20.59% | ÷0.987 | ×0.930 | — | ×1.050 | 20.37% |
| Doubles /BIP | 2.94% | ÷1.000 | ×0.830 | — | ×1.050 | 2.56% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | — | ×1.050 | 0.00% |
| Home runs /BIP | 5.88% | ÷0.960 | ×0.700 | — | ×1.050 | 4.51% |
Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 97, 2B 100, 3B 130, K 106, BB 96 — 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).
Result: wOBA .317 → .281; ISO .171 → .130; BABIP .250 → .240. 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 AAARochester Red Wings · 238 PAwOBA .345 → .297 (−48)K% 17.6% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.65% | ÷0.958 | ×1.200 | — | — | 22.09% |
| BB% (unintentional) /PA | 8.40% | ÷0.969 | ×0.690 | — | ×1.050 | 6.28% |
| HBP% /PA | 2.10% | — | ×0.940 | — | ×1.050 | 2.07% |
| Singles /BIP | 20.71% | ÷1.029 | ×0.930 | ×1.016 | ×1.050 | 19.97% |
| Doubles /BIP | 5.92% | ÷0.962 | ×0.830 | ×1.016 | ×1.050 | 5.45% |
| Triples /BIP | 1.78% | ÷1.150 | ×0.970 | ×1.016 | ×1.050 | 1.60% |
| Home runs /BIP | 4.73% | ÷0.986 | ×0.700 | — | ×1.050 | 3.53% |
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 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.016.
Result: wOBA .345 → .297; ISO .190 → .151; BABIP .294 → .277. 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 AAHarrisburg Senators · 211 PAwOBA .342 → .301 (−41)K% 23.7% → 28.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.70% | ÷1.008 | ×1.220 | — | — | 28.67% |
| BB% (unintentional) /PA | 7.58% | ÷1.051 | ×0.700 | — | ×1.042 | 5.26% |
| HBP% /PA | 2.37% | — | ×0.850 | — | ×1.042 | 2.10% |
| Singles /BIP | 23.53% | ÷1.010 | ×0.970 | ×0.957 | ×1.042 | 22.52% |
| Doubles /BIP | 8.09% | ÷0.964 | ×0.860 | ×0.957 | ×1.042 | 7.19% |
| Triples /BIP | 2.21% | ÷0.915 | ×0.950 | ×0.957 | ×1.042 | 2.28% |
| Home runs /BIP | 3.68% | ÷0.990 | ×0.780 | — | ×1.042 | 3.02% |
Factors used: league row EL. Park (home-season share, regressed): HR 98, 1B 102, 2B 93, 3B 83, K 102, BB 110 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.
Result: wOBA .342 → .301; ISO .172 → .151; BABIP .343 → .323. 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 · 85 PAwOBA .279 → .244 (−35)K% 22.4% → 27.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.35% | ÷1.005 | ×1.220 | — | — | 27.14% |
| BB% (unintentional) /PA | 9.41% | ÷1.016 | ×0.700 | — | ×1.050 | 6.81% |
| HBP% /PA | 4.71% | — | ×0.850 | — | ×1.050 | 4.20% |
| Singles /BIP | 18.87% | ÷1.013 | ×0.970 | ×0.985 | ×1.050 | 18.68% |
| Doubles /BIP | 9.43% | ÷1.033 | ×0.860 | ×0.985 | ×1.050 | 8.13% |
| Triples /BIP | 0.00% | ÷0.935 | ×0.950 | ×0.985 | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.115 | ×0.780 | — | ×1.050 | 0.00% |
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 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 ×0.985.
Result: wOBA .279 → .244; ISO .069 → .059; BABIP .278 → .263. 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 AFredericksburg Nationals · 71 PAwOBA .452 → .355 (−97)K% 26.8% → 37.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.76% | ÷0.978 | ×1.360 | — | — | 37.23% |
| BB% (unintentional) /PA | 8.45% | ÷1.126 | ×0.690 | — | ×1.015 | 5.26% |
| HBP% /PA | 2.82% | — | ×0.780 | — | ×1.015 | 2.23% |
| Singles /BIP | 32.56% | ÷1.016 | ×0.920 | — | ×1.015 | 29.93% |
| Doubles /BIP | 6.98% | ÷1.065 | ×0.830 | — | ×1.015 | 5.52% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 11.63% | ÷0.917 | ×0.800 | — | ×1.015 | 10.30% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 103, 2B 113, 3B 130, K 96, BB 125 — 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 .452 → .355; ISO .290 → .231; BABIP .436 → .384. 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).