Drew Millas
C Washington Nationals| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 26 | AAAWSH | 241 | .311/.362/.518 | 9 | 10 | 105 | — | .276/.312/.434 |
| 2024 | 26 | MLBWSH | 62 | .246/.306/.316 | 1 | 4 | 79 | 0.7 | |
| 2025 | 27 | AAAWSH | 209 | .247/.309/.374 | 4 | 8 | 56 | — | .219/.261/.321 |
| 2025 | 27 | MLBWSH | 55 | .306/.352/.449 | 0 | 2 | 123 | 0.9 | |
| 2026 | 28 | MLBWSH | 152 | .185/.275/.262 | 2 | 0 | 53 | -0.3 | |
| 2027PROJ | 29 | MLBWSH | 76 | .228/.294/.353 | 2 | 2 | 83 | 0.2 | |
| 2028PROJ65% MLB | 30 | MLBWSH | 117 | .225/.290/.345 | 2 | 2 | 80 | 0.0 | |
| 2029PROJ65% MLB | 31 | MLBWSH | 107 | .221/.286/.335 | 2 | 1 | 76 | -0.1 |
Tools · ContractCON 55 / POW 45
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| 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 | 23 | A+ | Wilmington Blue Rocks | — | 384 | 322 | 85 | 16 | 1 | 3 | 54 | 53 | 4 | 15 | 3 | 264 | 376 | 348 | 724 | 84 | 304 | 14 | 14 | 333 | 72 | — | — | — | — | — | — |
| 2021 | 23 | INTL | Surprise Saguaros | — | 64 | 51 | 10 | 1 | 0 | 1 | 13 | 4 | 0 | 3 | 1 | 196 | 359 | 275 | 634 | 78 | 196 | 6 | 20 | 307 | 94 | — | — | — | — | — | — |
| 2022 | 24 | AA | Harrisburg Senators | — | 169 | 152 | 32 | 4 | 0 | 3 | 15 | 53 | 0 | 1 | 1 | 211 | 280 | 296 | 576 | 86 | 299 | 31 | 9 | 263 | 38 | — | — | — | — | — | — |
| 2022 | 24 | A+ | Wilmington Blue Rocks | — | 98 | 76 | 18 | 8 | 2 | 1 | 22 | 20 | 0 | 1 | 0 | 237 | 408 | 434 | 842 | 197 | 309 | 20 | 22 | 380 | 74 | — | — | — | — | — | — |
| 2022 | 24 | A | Fredericksburg Nationals | — | 75 | 61 | 15 | 2 | 0 | 2 | 14 | 13 | 0 | 6 | 2 | 246 | 387 | 377 | 764 | 131 | 283 | 17 | 19 | 353 | 72 | — | — | — | — | — | — |
| 2022 | 24 | INTL | Peoria Javelinas | — | 63 | 59 | 18 | 5 | 0 | 2 | 3 | 10 | 0 | 1 | 2 | 305 | 339 | 492 | 830 | 186 | 333 | 16 | 5 | 359 | 129 | — | — | — | — | — | — |
| 2023 | 25 | MLB | Washington Nationals | — | 33 | 28 | 8 | 2 | 0 | 1 | 4 | 5 | 0 | 0 | 0 | 286 | 375 | 464 | 839 | 179 | 318 | 15 | 12 | 363 | 131 | +1 | +0 | +0 | +6 | +1 | 0.9 |
| 2023 | 25 | AAA | Rochester Red Wings | — | 229 | 196 | 53 | 11 | 3 | 3 | 26 | 33 | 4 | 4 | 1 | 270 | 367 | 403 | 770 | 133 | 307 | 14 | 11 | 344 | 86 | — | — | — | — | — | — |
| 2023 | 25 | AA | Harrisburg Senators | — | 99 | 82 | 28 | 4 | 0 | 4 | 16 | 16 | 1 | 2 | 1 | 341 | 455 | 537 | 991 | 195 | 387 | 16 | 16 | 439 | 130 | — | — | — | — | — | — |
| 2024 | 26 | MLB | Washington Nationals | — | 62 | 57 | 14 | 1 | 0 | 1 | 5 | 16 | 0 | 4 | 0 | 246 | 306 | 316 | 622 | 70 | 325 | 26 | 8 | 286 | 79 | -2 | +1 | +1 | +5 | +1 | 0.7 |
| 2024 | 26 | AAA | Rochester Red Wings | — | 241 | 222 | 69 | 13 | 3 | 9 | 18 | 34 | 0 | 10 | 1 | 311 | 362 | 518 | 881 | 207 | 333 | 14 | 7 | 384 | 105 | — | — | — | — | — | — |
| 2025 | 27 | MLB | Washington Nationals | — | 55 | 49 | 15 | 5 | 1 | 0 | 4 | 7 | 0 | 2 | 0 | 306 | 352 | 449 | 801 | 143 | 357 | 13 | 7 | 345 | 123 | +1 | +0 | +1 | +5 | +1 | 0.9 |
| 2025 | 27 | AAA | Rochester Red Wings | — | 209 | 190 | 47 | 6 | 3 | 4 | 17 | 25 | 0 | 8 | 1 | 247 | 309 | 374 | 683 | 126 | 264 | 12 | 8 | 304 | 56 | — | — | — | — | — | — |
| 2026 | 28 | MLB | Washington Nationals | — | 152 | 130 | 24 | 4 | 0 | 2 | 14 | 37 | 3 | 0 | 1 | 185 | 275 | 262 | 537 | 77 | 239 | 24 | 9 | 247 | 53 | -8 | -0 | +0 | +3 | +3 | -0.3 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 302 | 264 | 61 | 12 | 1 | 4 | 27 | 65 | 3 | 6 | 1 | 231 | 306 | 330 | 636 | 98 | 291 | 22 | 9 | 285 | 79 | -7 | +1 | +3 | +19 | +7 | 2.3 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 23 | A+ MLE | Wilmington Blue Rocks | — | 384 | 338 | 76 | 14 | 1 | 3 | 38 | 74 | 4 | 15 | 3 | 225 | 311 | 299 | 609 | 74 | 271 | 19 | 10 | 275 | 72 | — | — | — | — | — | — |
| 2022 | 24 | AA MLE | Harrisburg Senators | — | 169 | 157 | 30 | 4 | 0 | 2 | 11 | 65 | 0 | 1 | 1 | 191 | 244 | 255 | 499 | 64 | 299 | 38 | 7 | 224 | 38 | — | — | — | — | — | — |
| 2022 | 24 | A+ MLE | Wilmington Blue Rocks | — | 98 | 84 | 16 | 7 | 2 | 1 | 14 | 26 | 0 | 1 | 0 | 190 | 306 | 357 | 663 | 167 | 254 | 27 | 14 | 278 | 74 | — | — | — | — | — | — |
| 2022 | 24 | A MLE | Fredericksburg Nationals | — | 75 | 65 | 13 | 2 | 0 | 1 | 10 | 18 | 0 | 6 | 2 | 200 | 307 | 277 | 584 | 77 | 260 | 24 | 13 | 275 | 72 | — | — | — | — | — | — |
| 2023 | 25 | MLB MLE | Washington Nationals | — | 33 | 28 | 8 | 2 | 0 | 1 | 4 | 5 | 0 | 0 | 0 | 286 | 375 | 464 | 839 | 179 | 318 | 15 | 12 | 361 | 131 | +1 | +0 | +0 | +6 | +1 | 0.9 |
| 2023 | 25 | AAA MLE | Rochester Red Wings | — | 229 | 203 | 50 | 9 | 3 | 2 | 19 | 40 | 4 | 4 | 1 | 246 | 323 | 350 | 673 | 103 | 282 | 17 | 8 | 295 | 86 | — | — | — | — | — | — |
| 2023 | 25 | AA MLE | Harrisburg Senators | — | 99 | 87 | 26 | 3 | 0 | 3 | 11 | 19 | 1 | 2 | 1 | 299 | 384 | 437 | 821 | 138 | 360 | 19 | 11 | 361 | 130 | — | — | — | — | — | — |
| 2024 | 26 | MLB MLE | Washington Nationals | — | 62 | 57 | 14 | 1 | 0 | 1 | 5 | 16 | 0 | 4 | 0 | 246 | 306 | 316 | 622 | 70 | 325 | 26 | 8 | 285 | 79 | -2 | +1 | +1 | +5 | +1 | 0.7 |
| 2024 | 26 | AAA MLE | Rochester Red Wings | — | 241 | 228 | 63 | 12 | 3 | 6 | 12 | 43 | 0 | 10 | 1 | 276 | 312 | 434 | 747 | 158 | 312 | 18 | 5 | 323 | 105 | — | — | — | — | — | — |
| 2025 | 27 | MLB MLE | Washington Nationals | — | 55 | 50 | 15 | 5 | 1 | 0 | 4 | 7 | 0 | 2 | 0 | 300 | 352 | 440 | 792 | 140 | 357 | 13 | 7 | 349 | 123 | +1 | +0 | +1 | +5 | +1 | 0.9 |
| 2025 | 27 | AAA MLE | Rochester Red Wings | — | 209 | 196 | 43 | 5 | 3 | 3 | 11 | 29 | 0 | 8 | 1 | 219 | 261 | 321 | 582 | 102 | 234 | 14 | 5 | 251 | 56 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 152 | 132 | 24 | 4 | 0 | 2 | 14 | 37 | 3 | 0 | 1 | 182 | 275 | 258 | 533 | 76 | 239 | 24 | 9 | 247 | 53 | -8 | -0 | +0 | +3 | +3 | -0.3 |
| 2021 | 23 | A+ MLE | 2 teams | — | 448 | 396 | 89 | 17 | 1 | 3 | 44 | 86 | 4 | 18 | 4 | 225 | 309 | 295 | 604 | 71 | 277 | 19 | 10 | 275 | 72 | — | — | — | — | — | — |
| 2021 | 23 | A+ RAW | 2 teams | — | 448 | 373 | 95 | 17 | 1 | 4 | 67 | 57 | 4 | 18 | 4 | 255 | 374 | 338 | 712 | 83 | 288 | 13 | 15 | 329 | 72 | — | — | — | — | — | — |
| 2022 | 24 | AA MLE | 4 teams | — | 405 | 363 | 69 | 14 | 2 | 5 | 40 | 130 | 0 | 9 | 5 | 190 | 270 | 281 | 551 | 91 | 278 | 32 | 10 | 251 | 56 | — | — | — | — | — | — |
| 2022 | 24 | AA RAW | 4 teams | — | 405 | 348 | 83 | 19 | 2 | 8 | 54 | 96 | 0 | 9 | 5 | 239 | 340 | 374 | 714 | 135 | 305 | 24 | 13 | 323 | 56 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | 3 teams | — | 361 | 318 | 84 | 14 | 3 | 6 | 34 | 65 | 5 | 6 | 2 | 264 | 345 | 384 | 728 | 119 | 312 | 18 | 9 | 319 | 102 | — | — | — | — | — | — |
| 2023 | 25 | AAA RAW | 3 teams | — | 361 | 306 | 89 | 17 | 3 | 8 | 46 | 54 | 5 | 6 | 2 | 291 | 392 | 444 | 837 | 154 | 328 | 15 | 13 | 372 | 102 | — | — | — | — | — | — |
| 2024 | 26 | AAA MLE | 2 teams | — | 303 | 285 | 77 | 13 | 3 | 7 | 17 | 59 | 0 | 14 | 1 | 270 | 311 | 411 | 722 | 140 | 318 | 19 | 6 | 315 | 100 | — | — | — | — | — | — |
| 2024 | 26 | AAA RAW | 2 teams | — | 303 | 279 | 83 | 14 | 3 | 10 | 23 | 50 | 0 | 14 | 1 | 297 | 351 | 477 | 828 | 179 | 332 | 17 | 8 | 364 | 100 | — | — | — | — | — | — |
| 2025 | 27 | AAA MLE | 2 teams | — | 264 | 246 | 58 | 10 | 4 | 3 | 15 | 36 | 0 | 10 | 1 | 236 | 280 | 346 | 625 | 110 | 263 | 14 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2025 | 27 | AAA RAW | 2 teams | — | 264 | 239 | 62 | 11 | 4 | 4 | 21 | 32 | 0 | 10 | 1 | 259 | 318 | 389 | 707 | 130 | 283 | 12 | 8 | 312 | 70 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 152 | 132 | 24 | 4 | 0 | 2 | 14 | 37 | 3 | 0 | 1 | 182 | 275 | 258 | 533 | 76 | 234 | 24 | 9 | 247 | 53 | -8 | -0 | +0 | +3 | +3 | -0.3 |
| 2026 | 28 | MLB RAW | Washington Nationals | — | 152 | 130 | 24 | 4 | 0 | 2 | 14 | 37 | 3 | 0 | 1 | 185 | 275 | 262 | 537 | 77 | 239 | 24 | 9 | 247 | 53 | -8 | -0 | +0 | +3 | +3 | -0.3 |
| 2021 | 23 | A+ MLE | 2 teams | — | 448 | 397 | 89 | 17 | 1 | 3 | 44 | 86 | 4 | 18 | 4 | 224 | 309 | 295 | 603 | 71 | 271 | 19 | 10 | 275 | 72 | — | — | — | — | — | — |
| 2022 | 24 | AA MLE | 4 teams | — | 405 | 362 | 69 | 14 | 2 | 5 | 40 | 130 | 0 | 9 | 5 | 191 | 270 | 282 | 552 | 91 | 278 | 32 | 10 | 251 | 56 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | 3 teams | — | 361 | 319 | 84 | 14 | 3 | 6 | 34 | 65 | 5 | 6 | 2 | 263 | 345 | 382 | 727 | 119 | 307 | 18 | 9 | 319 | 102 | — | — | — | — | — | — |
| 2024 | 26 | AAA MLE | 2 teams | — | 303 | 283 | 77 | 13 | 3 | 7 | 17 | 59 | 0 | 14 | 1 | 272 | 311 | 413 | 725 | 141 | 315 | 19 | 6 | 315 | 100 | — | — | — | — | — | — |
| 2025 | 27 | AAA MLE | 2 teams | — | 264 | 247 | 58 | 10 | 4 | 3 | 15 | 36 | 0 | 10 | 1 | 235 | 280 | 344 | 624 | 109 | 260 | 14 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 152 | 134 | 24 | 4 | 0 | 2 | 14 | 37 | 3 | 0 | 1 | 179 | 275 | 254 | 529 | 75 | 239 | 24 | 9 | 247 | 53 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 26 | AAA MLE | 2 teams | — | 303 | 283 | 77 | 13 | 3 | 7 | 17 | 59 | 0 | 14 | 1 | 272 | 311 | 413 | 725 | 141 | 315 | 19 | 6 | 315 | 100 | — | — | — | — | — | — |
| 2025 | 27 | AAA MLE | 2 teams | — | 264 | 247 | 58 | 10 | 4 | 3 | 15 | 36 | 0 | 10 | 1 | 235 | 280 | 344 | 624 | 109 | 260 | 14 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2026 | 28 | MLB MLE | Washington Nationals | — | 152 | 134 | 24 | 4 | 0 | 2 | 14 | 37 | 3 | 0 | 1 | 179 | 275 | 254 | 529 | 75 | 239 | 24 | 9 | 247 | 53 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB MLE | WSH | 100% | 182 | 164 | 38 | 7 | 1 | 4 | 14 | 35 | 2 | 4 | 1 | 229 | 295 | 355 | 650 | 126 | 265 | 19 | 8 | 291 | 83 | -4 | +0 | -1 | +3 | +4 | 0.2 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 29 | MLB CTX | WSH | 100% | 76 | 69 | 16 | 3 | 0 | 2 | 6 | 15 | 1 | 2 | 0 | 228 | 294 | 353 | 647 | 125 | 265 | 20 | 8 | 290 | 83 | -2 | +0 | -0 | +1 | +2 | 0.2 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 30 | MLB MLE | WSH | 65% | 180 | 163 | 38 | 7 | 1 | 4 | 14 | 35 | 1 | 3 | 1 | 226 | 291 | 347 | 638 | 122 | 264 | 19 | 8 | 287 | 80 | -4 | +0 | -3 | +3 | +4 | 0.0 |
| 2029 | 31 | MLB MLE | WSH | 65% | 164 | 150 | 33 | 6 | 1 | 3 | 12 | 33 | 1 | 2 | 1 | 222 | 286 | 338 | 623 | 116 | 261 | 20 | 7 | 280 | 76 | -5 | +0 | -3 | +3 | +4 | -0.2 |
| 2028 | 30 | MLB CTX | WSH | 65% | 117 | 106 | 24 | 4 | 1 | 2 | 9 | 23 | 1 | 2 | 1 | 225 | 290 | 345 | 636 | 120 | 263 | 20 | 8 | 286 | 80 | -3 | +0 | -2 | +2 | +3 | 0.0 |
| 2029 | 31 | MLB CTX | WSH | 65% | 107 | 97 | 22 | 4 | 1 | 2 | 8 | 21 | 1 | 1 | 0 | 221 | 286 | 335 | 621 | 114 | 260 | 20 | 7 | 280 | 76 | -3 | +0 | -2 | +2 | +2 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 526 | 467 | 107 | 20 | 3 | 8 | 44 | 109 | 5 | 9 | 2 | 229 | 301 | 336 | 637 | 107 | 280 | 21 | 8 | 284 | 77 | -13 | +1 | -1 | +23 | +11 | 2.2 | |
| / 162G | — | A+C | — | 650 | 577 | 133 | 25 | 4 | 10 | 54 | 135 | 6 | 11 | 2 | 231 | 301 | 340 | 641 | 109 | 282 | 21 | 8 | 284 | 77 | -16 | +1 | -1 | +29 | +14 | 2.7 | |
| Career | — | MLE | — | 2353 | 2122 | 488 | 88 | 15 | 35 | 196 | 496 | 15 | 64 | 16 | 230 | 300 | 335 | 635 | 105 | 282 | 21 | 8 | 282 | 77 | -18 | +1 | -3 | +27 | +16 | 2.3 | |
| / 162G | — | MLE | — | 650 | 586 | 135 | 24 | 4 | 10 | 54 | 137 | 4 | 18 | 4 | 230 | 299 | 336 | 635 | 106 | 282 | 21 | 8 | 282 | 77 | -16 | +1 | -3 | +24 | +14 | 2.1 | |
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.
2025 AAARochester Red Wings · 209 PAwOBA .295 → .251 (−44)K% 12.0% → 14.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.96% | ÷1.028 | ×1.200 | — | — | 13.97% |
| BB% (unintentional) /PA | 7.18% | ÷0.978 | ×0.690 | — | ×1.003 | 5.08% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.003 | 0.00% |
| Singles /BIP | 20.61% | ÷0.987 | ×0.930 | ×0.966 | ×1.003 | 18.81% |
| Doubles /BIP | 3.64% | ÷1.000 | ×0.830 | ×0.966 | ×1.003 | 2.93% |
| Triples /BIP | 1.82% | ÷1.150 | ×0.970 | ×0.966 | ×1.003 | 1.49% |
| Home runs /BIP | 2.42% | ÷0.960 | ×0.700 | — | ×1.003 | 1.77% |
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 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 ×0.966.
Result: wOBA .295 → .251; ISO .126 → .100; BABIP .264 → .234. 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 · 241 PAwOBA .374 → .323 (−51)K% 14.1% → 17.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.11% | ÷0.958 | ×1.200 | — | — | 17.66% |
| BB% (unintentional) /PA | 7.05% | ÷0.969 | ×0.690 | — | ×1.018 | 5.11% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 23.40% | ÷1.029 | ×0.930 | ×1.047 | ×1.018 | 22.54% |
| Doubles /BIP | 6.91% | ÷0.962 | ×0.830 | ×1.047 | ×1.018 | 6.36% |
| Triples /BIP | 1.60% | ÷1.150 | ×0.970 | ×1.047 | ×1.018 | 1.43% |
| Home runs /BIP | 4.79% | ÷0.986 | ×0.700 | — | ×1.018 | 3.46% |
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 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 ×1.047.
Result: wOBA .374 → .323; ISO .207 → .164; BABIP .333 → .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).
2023 AAARochester Red Wings · 229 PAwOBA .340 → .295 (−46)K% 14.4% → 17.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.41% | ÷0.980 | ×1.200 | — | — | 17.64% |
| BB% (unintentional) /PA | 11.35% | ÷0.956 | ×0.690 | — | ×1.033 | 8.46% |
| HBP% /PA | 1.75% | — | ×0.940 | — | ×1.033 | 1.70% |
| Singles /BIP | 22.09% | ÷0.996 | ×0.930 | ×1.013 | ×1.033 | 21.59% |
| Doubles /BIP | 6.75% | ÷1.137 | ×0.830 | ×1.013 | ×1.033 | 5.15% |
| Triples /BIP | 1.84% | ÷1.150 | ×0.970 | ×1.013 | ×1.033 | 1.62% |
| Home runs /BIP | 1.84% | ÷1.058 | ×0.700 | — | ×1.033 | 1.26% |
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 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 ×1.013.
Result: wOBA .340 → .295; ISO .133 → .103; BABIP .307 → .282. 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 · 99 PAwOBA .428 → .361 (−67)K% 16.2% → 19.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.16% | ÷1.005 | ×1.220 | — | — | 19.63% |
| BB% (unintentional) /PA | 16.16% | ÷1.016 | ×0.700 | — | ×0.998 | 11.11% |
| HBP% /PA | 1.01% | — | ×0.850 | — | ×0.998 | 0.86% |
| Singles /BIP | 30.30% | ÷1.013 | ×0.970 | ×1.013 | ×0.998 | 29.35% |
| Doubles /BIP | 6.06% | ÷1.033 | ×0.860 | ×1.013 | ×0.998 | 5.10% |
| Triples /BIP | 0.00% | ÷0.935 | ×0.950 | ×1.013 | ×0.998 | 0.00% |
| Home runs /BIP | 6.06% | ÷1.115 | ×0.780 | — | ×0.998 | 4.23% |
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 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 ×1.013.
Result: wOBA .428 → .361; ISO .195 → .147; BABIP .387 → .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).
2022 AAHarrisburg Senators · 169 PAwOBA .258 → .224 (−34)K% 31.4% → 38.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.36% | ÷0.996 | ×1.220 | — | — | 38.41% |
| BB% (unintentional) /PA | 8.88% | ÷0.980 | ×0.700 | — | ×1.012 | 6.42% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×1.012 | 0.00% |
| Singles /BIP | 25.25% | ÷1.016 | ×0.970 | ×1.047 | ×1.012 | 25.53% |
| Doubles /BIP | 4.04% | ÷0.936 | ×0.860 | ×1.047 | ×1.012 | 3.94% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×1.047 | ×1.012 | 0.00% |
| Home runs /BIP | 3.03% | ÷0.979 | ×0.780 | — | ×1.012 | 2.44% |
Factors used: league row EL. Park (home-season share, regressed): HR 96, 1B 103, 2B 87, 3B 130, K 99, BB 96 — 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 ×1.047.
Result: wOBA .258 → .224; ISO .086 → .069; BABIP .299 → .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).
2022 A+Wilmington Blue Rocks · 98 PAwOBA .372 → .278 (−94)K% 20.4% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.41% | ÷0.998 | ×1.310 | — | — | 26.78% |
| BB% (unintentional) /PA | 22.45% | ÷0.963 | ×0.600 | — | ×0.988 | 13.82% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.988 | 0.00% |
| Singles /BIP | 12.50% | ÷0.990 | ×0.870 | ×1.010 | ×0.988 | 10.97% |
| Doubles /BIP | 14.29% | ÷0.974 | ×0.780 | ×1.010 | ×0.988 | 11.41% |
| Triples /BIP | 3.57% | ÷1.150 | ×0.850 | ×1.010 | ×0.988 | 2.63% |
| Home runs /BIP | 1.79% | ÷1.114 | ×0.880 | — | ×0.988 | 1.39% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 123, 1B 98, 2B 95, 3B 130, K 100, BB 93 — 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 ×1.010.
Result: wOBA .372 → .278; ISO .197 → .160; BABIP .309 → .254. 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 · 75 PAwOBA .345 → .275 (−69)K% 17.3% → 24.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.33% | ÷0.966 | ×1.360 | — | — | 24.40% |
| BB% (unintentional) /PA | 18.67% | ÷0.970 | ×0.690 | — | ×0.980 | 13.02% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.980 | 0.00% |
| Singles /BIP | 22.92% | ÷0.986 | ×0.920 | ×1.026 | ×0.980 | 21.50% |
| Doubles /BIP | 4.17% | ÷0.933 | ×0.830 | ×1.026 | ×0.980 | 3.73% |
| Triples /BIP | 0.00% | ÷0.910 | ×0.910 | ×1.026 | ×0.980 | 0.00% |
| Home runs /BIP | 4.17% | ÷1.074 | ×0.800 | — | ×0.980 | 3.04% |
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 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.
Result: wOBA .345 → .275; ISO .131 → .099; BABIP .283 → .260. 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 A+Wilmington Blue Rocks · 384 PAwOBA .328 → .275 (−52)K% 13.8% → 19.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.80% | ÷0.965 | ×1.350 | — | — | 19.30% |
| BB% (unintentional) /PA | 13.80% | ÷0.984 | ×0.710 | — | ×0.998 | 9.94% |
| HBP% /PA | 1.04% | — | ×0.810 | — | ×0.998 | 0.84% |
| Singles /BIP | 24.16% | ÷0.997 | ×0.910 | ×0.982 | ×0.998 | 21.62% |
| Doubles /BIP | 5.95% | ÷0.916 | ×0.830 | ×0.982 | ×0.998 | 5.28% |
| Triples /BIP | 0.37% | ÷0.900 | ×0.820 | ×0.982 | ×0.998 | 0.33% |
| Home runs /BIP | 1.12% | ÷0.906 | ×0.830 | — | ×0.998 | 1.02% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 99, 2B 83, 3B 80, K 93, BB 97 — 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 ×0.982.
Result: wOBA .328 → .275; ISO .084 → .075; BABIP .304 → .271. 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 — .