Brett Baty
RF New York Mets| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 24 | AAANYM | 269 | .252/.353/.504 | 16 | 1 | 86 | — | .210/.293/.387 |
| 2024 | 24 | MLBNYM | 171 | .229/.306/.327 | 4 | 0 | 83 | 0.4 | |
| 2025 | 25 | MLBNYM | 432 | .254/.315/.435 | 18 | 8 | 114 | 2.2 | |
| 2026 | 26 | MLBNYM | 473 | .238/.314/.374 | 11 | 5 | 99 | 0.3 | |
| 2027PROJ | 27 | MLBNYM | 383 | .237/.310/.399 | 13 | 5 | 104 | 0.6 | |
| 2028PROJ | 28 | MLBNYM | 376 | .235/.308/.394 | 13 | 4 | 102 | 0.4 | |
| 2029PROJ | 29 | MLBNYM | 362 | .232/.305/.388 | 12 | 2 | 99 | 0.2 |
Tools · Recent Form · Splits · ContractCON 50 / POW 55
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) | |||||||||||||||||||||||||||||||
| 2019 | 19 | ROK | GCL Mets | — | 25 | 20 | 7 | 3 | 0 | 1 | 5 | 6 | 0 | 0 | 0 | 350 | 480 | 650 | 1.130 | 300 | 462 | 24 | 20 | 485 | 107 | — | — | — | — | — | — |
| 2021 | 21 | AA | Binghamton Rumble Ponies | — | 176 | 151 | 41 | 8 | 0 | 5 | 22 | 45 | 1 | 2 | 0 | 272 | 368 | 424 | 792 | 152 | 350 | 26 | 12 | 353 | 91 | — | — | — | — | — | — |
| 2021 | 21 | A+ | Brooklyn Cyclones | — | 209 | 181 | 56 | 14 | 1 | 7 | 24 | 53 | 3 | 4 | 3 | 309 | 399 | 514 | 913 | 204 | 402 | 25 | 11 | 401 | 117 | — | — | — | — | — | — |
| 2021 | 21 | INTL | Salt River Rafters | — | 102 | 89 | 26 | 5 | 1 | 1 | 11 | 31 | 1 | 1 | 0 | 292 | 376 | 404 | 781 | 112 | 431 | 30 | 11 | 350 | 123 | — | — | — | — | — | — |
| 2022 | 22 | MLB | New York Mets | — | 42 | 38 | 7 | 0 | 0 | 2 | 2 | 8 | 1 | 0 | 0 | 184 | 238 | 342 | 580 | 158 | 179 | 19 | 5 | 258 | 62 | -2 | +0 | -0 | +2 | +1 | 0.0 |
| 2022 | 22 | AAA | Syracuse Mets | — | 26 | 22 | 8 | 0 | 0 | 0 | 3 | 6 | 1 | 0 | 1 | 364 | 462 | 364 | 825 | 500 | 23 | 12 | 387 | 124 | — | — | — | — | — | — | |
| 2022 | 22 | AA | Binghamton Rumble Ponies | — | 394 | 340 | 106 | 22 | 0 | 19 | 46 | 98 | 8 | 2 | 3 | 312 | 406 | 544 | 950 | 232 | 390 | 25 | 12 | 418 | 136 | — | — | — | — | — | — |
| 2023 | 23 | MLB | New York Mets | — | 389 | 353 | 75 | 12 | 0 | 9 | 29 | 109 | 2 | 2 | 0 | 212 | 274 | 323 | 597 | 110 | 280 | 28 | 7 | 269 | 72 | -13 | +0 | -2 | +2 | +8 | -0.4 |
| 2023 | 23 | AAA | Syracuse Mets | — | 121 | 104 | 31 | 4 | 0 | 10 | 16 | 29 | 0 | 2 | 2 | 298 | 392 | 625 | 1.017 | 327 | 318 | 24 | 13 | 434 | 121 | — | — | — | — | — | — |
| 2024 | 24 | MLB | New York Mets | — | 171 | 153 | 35 | 3 | 0 | 4 | 16 | 42 | 1 | 0 | 0 | 229 | 306 | 327 | 633 | 98 | 290 | 25 | 9 | 289 | 83 | -4 | +0 | +2 | +2 | +4 | 0.4 |
| 2024 | 24 | AAA | Syracuse Mets | — | 269 | 230 | 58 | 10 | 0 | 16 | 33 | 57 | 3 | 1 | 0 | 252 | 353 | 504 | 858 | 252 | 263 | 21 | 12 | 373 | 86 | — | — | — | — | — | — |
| 2025 | 25 | MLB | New York Mets | — | 432 | 393 | 100 | 13 | 2 | 18 | 33 | 108 | 2 | 8 | 0 | 254 | 315 | 435 | 750 | 181 | 304 | 25 | 8 | 330 | 114 | +7 | +2 | +2 | +2 | +9 | 2.2 |
| 2026 | 26 | MLB | New York Mets | — | 473 | 420 | 100 | 22 | 1 | 11 | 44 | 125 | 3 | 5 | 1 | 238 | 314 | 374 | 688 | 136 | 308 | 26 | 9 | 307 | 99 | -1 | +1 | -3 | -5 | +10 | 0.3 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1507 | 1357 | 317 | 50 | 3 | 44 | 124 | 392 | 9 | 15 | 1 | 234 | 301 | 372 | 673 | 139 | 294 | 26 | 8 | 300 | 90 | -19 | +3 | -1 | +2 | +33 | 1.7 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 19 | ROK MLE | GCL Mets | — | 25 | 22 | 5 | 2 | 0 | 1 | 3 | 9 | 0 | 0 | 0 | 227 | 320 | 455 | 775 | 227 | 348 | 36 | 12 | 327 | 107 | — | — | — | — | — | — |
| 2021 | 21 | AA MLE | Binghamton Rumble Ponies | — | 176 | 158 | 38 | 7 | 0 | 4 | 15 | 54 | 1 | 2 | 0 | 241 | 310 | 361 | 671 | 120 | 335 | 31 | 9 | 303 | 91 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | Brooklyn Cyclones | — | 209 | 188 | 52 | 13 | 1 | 6 | 17 | 69 | 3 | 4 | 3 | 277 | 346 | 452 | 798 | 176 | 395 | 33 | 8 | 341 | 117 | — | — | — | — | — | — |
| 2022 | 22 | MLB MLE | New York Mets | — | 42 | 39 | 7 | 0 | 0 | 2 | 2 | 8 | 1 | 0 | 0 | 179 | 238 | 333 | 571 | 154 | 179 | 19 | 5 | 261 | 62 | -2 | +0 | -0 | +2 | +1 | 0.0 |
| 2022 | 22 | AAA MLE | Syracuse Mets | — | 26 | 23 | 8 | 0 | 0 | 0 | 2 | 7 | 1 | 0 | 1 | 348 | 423 | 348 | 771 | 512 | 27 | 8 | 351 | 124 | — | — | — | — | — | — | |
| 2022 | 22 | AA MLE | Binghamton Rumble Ponies | — | 394 | 355 | 105 | 20 | 0 | 17 | 31 | 117 | 8 | 2 | 3 | 296 | 365 | 496 | 861 | 200 | 399 | 30 | 8 | 369 | 136 | — | — | — | — | — | — |
| 2023 | 23 | MLB MLE | New York Mets | — | 389 | 356 | 77 | 13 | 0 | 9 | 29 | 109 | 2 | 2 | 0 | 216 | 279 | 329 | 608 | 112 | 280 | 28 | 7 | 275 | 72 | -13 | +0 | -2 | +2 | +8 | -0.4 |
| 2023 | 23 | AAA MLE | Syracuse Mets | — | 121 | 108 | 28 | 4 | 0 | 7 | 12 | 36 | 0 | 2 | 2 | 259 | 333 | 491 | 824 | 231 | 303 | 30 | 10 | 347 | 121 | — | — | — | — | — | — |
| 2024 | 24 | MLB MLE | New York Mets | — | 171 | 154 | 36 | 3 | 0 | 4 | 15 | 42 | 1 | 0 | 0 | 234 | 306 | 331 | 637 | 97 | 290 | 25 | 9 | 290 | 83 | -4 | +0 | +2 | +2 | +4 | 0.4 |
| 2024 | 24 | AAA MLE | Syracuse Mets | — | 269 | 238 | 50 | 9 | 0 | 11 | 25 | 71 | 3 | 1 | 0 | 210 | 293 | 387 | 680 | 176 | 241 | 26 | 9 | 296 | 86 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | New York Mets | — | 432 | 394 | 103 | 14 | 2 | 18 | 33 | 108 | 2 | 8 | 0 | 261 | 322 | 444 | 766 | 183 | 304 | 25 | 8 | 336 | 114 | +7 | +2 | +2 | +2 | +9 | 2.2 |
| 2026 | 26 | MLB MLE | New York Mets | — | 473 | 421 | 103 | 23 | 1 | 11 | 44 | 125 | 3 | 5 | 1 | 245 | 321 | 382 | 703 | 138 | 308 | 26 | 9 | 315 | 99 | -1 | +1 | -3 | -5 | +10 | 0.3 |
| 2019 | 19 | ROK MLE | GCL Mets | — | 25 | 22 | 5 | 2 | 0 | 1 | 3 | 9 | 0 | 0 | 0 | 227 | 320 | 455 | 775 | 227 | 333 | 36 | 12 | 327 | 107 | — | — | — | — | — | — |
| 2019 | 19 | ROK RAW | GCL Mets | — | 25 | 20 | 7 | 3 | 0 | 1 | 5 | 6 | 0 | 0 | 0 | 350 | 480 | 650 | 1.130 | 300 | 462 | 24 | 20 | 485 | 107 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | 3 teams | — | 487 | 437 | 115 | 25 | 1 | 13 | 41 | 155 | 5 | 7 | 3 | 263 | 333 | 414 | 748 | 151 | 374 | 32 | 8 | 324 | 105 | — | — | — | — | — | — |
| 2021 | 21 | A+ RAW | 3 teams | — | 487 | 421 | 123 | 27 | 2 | 13 | 57 | 129 | 5 | 7 | 3 | 292 | 383 | 458 | 841 | 166 | 389 | 26 | 12 | 373 | 105 | — | — | — | — | — | — |
| 2022 | 22 | AA MLE | 3 teams | — | 462 | 417 | 120 | 20 | 0 | 19 | 35 | 133 | 10 | 2 | 4 | 288 | 357 | 472 | 830 | 185 | 381 | 29 | 8 | 358 | 129 | — | — | — | — | — | — |
| 2022 | 22 | AA RAW | 3 teams | — | 462 | 400 | 121 | 22 | 0 | 21 | 51 | 112 | 10 | 2 | 4 | 302 | 394 | 515 | 909 | 213 | 375 | 24 | 11 | 401 | 129 | — | — | — | — | — | — |
| 2023 | 23 | MLB MLE | 2 teams | — | 510 | 464 | 104 | 16 | 0 | 16 | 41 | 145 | 2 | 4 | 2 | 224 | 290 | 362 | 652 | 138 | 289 | 28 | 8 | 292 | 84 | -10 | +0 | -2 | +2 | +11 | 0.1 |
| 2023 | 23 | MLB RAW | 2 teams | — | 510 | 457 | 106 | 16 | 0 | 19 | 45 | 138 | 2 | 4 | 2 | 232 | 302 | 392 | 693 | 160 | 288 | 27 | 9 | 308 | 84 | -10 | +0 | -2 | +2 | +11 | 0.1 |
| 2024 | 24 | AAA MLE | 2 teams | — | 440 | 392 | 86 | 12 | 0 | 15 | 40 | 113 | 4 | 1 | 0 | 219 | 298 | 365 | 663 | 145 | 266 | 26 | 9 | 294 | 85 | — | — | — | — | — | — |
| 2024 | 24 | AAA RAW | 2 teams | — | 440 | 383 | 93 | 13 | 0 | 20 | 49 | 99 | 4 | 1 | 0 | 243 | 335 | 433 | 768 | 191 | 273 | 22 | 11 | 340 | 85 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | New York Mets | — | 432 | 394 | 103 | 14 | 2 | 18 | 33 | 108 | 2 | 8 | 0 | 261 | 322 | 444 | 766 | 183 | 314 | 25 | 8 | 336 | 114 | +7 | +2 | +2 | +2 | +9 | 2.2 |
| 2025 | 25 | MLB RAW | New York Mets | — | 432 | 393 | 100 | 13 | 2 | 18 | 33 | 108 | 2 | 8 | 0 | 254 | 315 | 435 | 750 | 181 | 304 | 25 | 8 | 330 | 114 | +7 | +2 | +2 | +2 | +9 | 2.2 |
| 2026 | 26 | MLB MLE | New York Mets | — | 473 | 421 | 103 | 23 | 1 | 11 | 44 | 125 | 3 | 5 | 1 | 245 | 321 | 382 | 703 | 138 | 317 | 26 | 9 | 315 | 99 | -1 | +1 | -3 | -5 | +10 | 0.3 |
| 2026 | 26 | MLB RAW | New York Mets | — | 473 | 420 | 100 | 22 | 1 | 11 | 44 | 125 | 3 | 5 | 1 | 238 | 314 | 374 | 688 | 136 | 308 | 26 | 9 | 307 | 99 | -1 | +1 | -3 | -5 | +10 | 0.3 |
| 2019 | 19 | ROK MLE | GCL Mets | — | 25 | 22 | 5 | 2 | 0 | 1 | 3 | 9 | 0 | 0 | 0 | 227 | 320 | 455 | 775 | 227 | 348 | 36 | 12 | 327 | 107 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | 3 teams | — | 487 | 438 | 115 | 25 | 1 | 13 | 41 | 155 | 5 | 7 | 3 | 263 | 333 | 413 | 747 | 151 | 368 | 32 | 8 | 324 | 105 | — | — | — | — | — | — |
| 2022 | 22 | AA MLE | 3 teams | — | 462 | 414 | 120 | 20 | 0 | 19 | 35 | 133 | 10 | 2 | 4 | 290 | 357 | 476 | 833 | 186 | 385 | 29 | 8 | 358 | 129 | — | — | — | — | — | — |
| 2023 | 23 | MLB MLE | 2 teams | — | 510 | 462 | 104 | 16 | 0 | 16 | 41 | 145 | 2 | 4 | 2 | 225 | 290 | 364 | 654 | 139 | 285 | 28 | 8 | 292 | 84 | — | — | — | — | — | — |
| 2024 | 24 | AAA MLE | 2 teams | — | 440 | 393 | 86 | 12 | 0 | 15 | 40 | 113 | 4 | 1 | 0 | 219 | 298 | 364 | 662 | 145 | 260 | 26 | 9 | 294 | 85 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | New York Mets | — | 432 | 394 | 103 | 14 | 2 | 18 | 33 | 108 | 2 | 8 | 0 | 261 | 322 | 444 | 766 | 183 | 304 | 25 | 8 | 336 | 114 | — | — | — | — | — | — |
| 2026 | 26 | MLB MLE | New York Mets | — | 473 | 423 | 103 | 23 | 1 | 11 | 44 | 125 | 3 | 5 | 1 | 243 | 321 | 381 | 701 | 137 | 308 | 26 | 9 | 315 | 99 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | AAA MLE | 2 teams | — | 440 | 393 | 86 | 12 | 0 | 15 | 40 | 113 | 4 | 1 | 0 | 219 | 298 | 364 | 662 | 145 | 260 | 26 | 9 | 294 | 85 | — | — | — | — | — | — |
| 2025 | 25 | MLB MLE | New York Mets | — | 432 | 394 | 103 | 14 | 2 | 18 | 33 | 108 | 2 | 8 | 0 | 261 | 322 | 444 | 766 | 183 | 304 | 25 | 8 | 336 | 114 | — | — | — | — | — | — |
| 2026 | 26 | MLB MLE | New York Mets | — | 473 | 423 | 103 | 23 | 1 | 11 | 44 | 125 | 3 | 5 | 1 | 243 | 321 | 381 | 701 | 137 | 308 | 26 | 9 | 315 | 99 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB MLE | NYM | 100% | 460 | 413 | 100 | 18 | 1 | 16 | 41 | 117 | 3 | 6 | 2 | 243 | 316 | 409 | 725 | 166 | 298 | 25 | 9 | 322 | 104 | +2 | +0 | -1 | -5 | +10 | 1.5 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB CTX | NYM | 100% | 383 | 344 | 81 | 14 | 1 | 13 | 34 | 97 | 2 | 5 | 1 | 237 | 310 | 399 | 709 | 163 | 289 | 25 | 9 | 315 | 104 | +2 | +1 | -1 | -4 | +8 | 0.6 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 28 | MLB MLE | NYM | 100% | 376 | 338 | 82 | 15 | 1 | 13 | 33 | 96 | 2 | 4 | 1 | 241 | 314 | 404 | 718 | 163 | 297 | 26 | 9 | 319 | 102 | +1 | +0 | -1 | -4 | +8 | 0.4 |
| 2029 | 29 | MLB MLE | NYM | 100% | 362 | 325 | 78 | 14 | 1 | 12 | 32 | 94 | 2 | 2 | 1 | 239 | 311 | 397 | 708 | 159 | 295 | 26 | 9 | 315 | 99 | -0 | +0 | -2 | -4 | +8 | 0.2 |
| 2030 | 30 | MLB MLE | NYM | 100% | 349 | 313 | 74 | 13 | 1 | 11 | 31 | 91 | 2 | 1 | 1 | 235 | 307 | 389 | 696 | 154 | 293 | 26 | 9 | 310 | 96 | -2 | -0 | -3 | -4 | +8 | -0.1 |
| 2031 | 31 | MLB MLE | NYM | 100% | 329 | 295 | 68 | 12 | 1 | 10 | 29 | 87 | 2 | 1 | 0 | 230 | 301 | 378 | 679 | 147 | 289 | 26 | 9 | 303 | 91 | -3 | +0 | -3 | -4 | +7 | -0.3 |
| 2032 | 32 | MLB MLE | NYM | 100% | 305 | 275 | 61 | 11 | 0 | 9 | 26 | 82 | 1 | 1 | 0 | 224 | 294 | 363 | 657 | 139 | 283 | 27 | 9 | 294 | 85 | -5 | +0 | -4 | -3 | +7 | -0.6 |
| 2028 | 28 | MLB CTX | NYM | 100% | 376 | 338 | 79 | 14 | 1 | 13 | 33 | 96 | 2 | 4 | 1 | 235 | 308 | 394 | 702 | 160 | 288 | 26 | 9 | 312 | 102 | +1 | +0 | -1 | -4 | +8 | 0.4 |
| 2029 | 29 | MLB CTX | NYM | 100% | 362 | 325 | 75 | 13 | 1 | 12 | 32 | 94 | 2 | 2 | 1 | 232 | 305 | 388 | 693 | 156 | 286 | 26 | 9 | 309 | 99 | -0 | +0 | -2 | -4 | +8 | 0.2 |
| 2030 | 30 | MLB CTX | NYM | 100% | 349 | 313 | 72 | 13 | 1 | 11 | 31 | 91 | 2 | 1 | 1 | 229 | 301 | 379 | 680 | 151 | 283 | 26 | 9 | 304 | 96 | -2 | -0 | -3 | -4 | +8 | -0.1 |
| 2031 | 31 | MLB CTX | NYM | 100% | 329 | 295 | 67 | 12 | 1 | 10 | 29 | 87 | 2 | 1 | 0 | 224 | 296 | 368 | 664 | 144 | 279 | 26 | 9 | 297 | 91 | -3 | +0 | -3 | -4 | +7 | -0.3 |
| 2032 | 32 | MLB CTX | NYM | 100% | 305 | 275 | 59 | 10 | 0 | 9 | 26 | 82 | 1 | 1 | 0 | 218 | 289 | 354 | 643 | 136 | 274 | 27 | 9 | 288 | 85 | -5 | +0 | -4 | -3 | +7 | -0.6 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 3228 | 2903 | 669 | 112 | 7 | 99 | 275 | 842 | 18 | 24 | 4 | 230 | 300 | 376 | 677 | 146 | 288 | 26 | 9 | 302 | 100 | -29 | +3 | -15 | -17 | +70 | 1.3 | |
| / 162G | — | A+C | — | 650 | 585 | 135 | 23 | 1 | 20 | 55 | 170 | 4 | 5 | 1 | 231 | 301 | 376 | 677 | 145 | 288 | 26 | 8 | 302 | 100 | -6 | +1 | -3 | -3 | +14 | 0.3 | |
| Career | — | MLE | — | 4933 | 4437 | 1082 | 192 | 9 | 161 | 422 | 1335 | 37 | 41 | 14 | 244 | 315 | 400 | 715 | 156 | 310 | 27 | 9 | 316 | 100 | -27 | +4 | -16 | -21 | +78 | 1.9 | |
| / 162G | — | MLE | — | 650 | 585 | 142 | 25 | 1 | 21 | 56 | 176 | 5 | 5 | 2 | 243 | 315 | 397 | 711 | 154 | 309 | 27 | 9 | 316 | 100 | -5 | +1 | -3 | -4 | +14 | 0.3 | |
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 AAASyracuse Mets · 269 PAwOBA .367 → .296 (−71)K% 21.2% → 26.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.19% | ÷0.968 | ×1.200 | — | — | 26.28% |
| BB% (unintentional) /PA | 12.27% | ÷0.933 | ×0.690 | — | ×1.033 | 9.37% |
| HBP% /PA | 1.12% | — | ×0.940 | — | ×1.033 | 1.08% |
| Singles /BIP | 18.50% | ÷1.006 | ×0.930 | ×1.010 | ×1.033 | 17.85% |
| Doubles /BIP | 5.78% | ÷0.972 | ×0.830 | ×1.010 | ×1.033 | 5.15% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×1.010 | ×1.033 | 0.00% |
| Home runs /BIP | 9.25% | ÷1.059 | ×0.700 | — | ×1.033 | 6.32% |
Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 101, 2B 94, 3B 80, K 94, BB 87 — 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 ×1.010.
Result: wOBA .367 → .296; ISO .252 → .178; BABIP .263 → .241. 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 AAASyracuse Mets · 121 PAwOBA .425 → .347 (−78)K% 24.0% → 29.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.97% | ÷0.961 | ×1.200 | — | — | 29.94% |
| BB% (unintentional) /PA | 13.22% | ÷0.967 | ×0.690 | — | ×1.048 | 9.89% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.048 | 0.00% |
| Singles /BIP | 22.67% | ÷0.997 | ×0.930 | ×1.024 | ×1.048 | 22.68% |
| Doubles /BIP | 5.33% | ÷0.933 | ×0.830 | ×1.024 | ×1.048 | 5.09% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.024 | ×1.048 | 0.00% |
| Home runs /BIP | 13.33% | ÷1.003 | ×0.700 | — | ×1.048 | 9.75% |
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 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 ×1.024.
Result: wOBA .425 → .347; ISO .327 → .241; BABIP .318 → .303. 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 AABinghamton Rumble Ponies · 394 PAwOBA .407 → .369 (−37)K% 24.9% → 29.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.87% | ÷1.017 | ×1.220 | — | — | 29.83% |
| BB% (unintentional) /PA | 11.68% | ÷1.057 | ×0.700 | — | ×1.027 | 7.94% |
| HBP% /PA | 2.03% | — | ×0.850 | — | ×1.027 | 1.77% |
| Singles /BIP | 26.86% | ÷0.983 | ×0.970 | ×1.050 | ×1.027 | 28.59% |
| Doubles /BIP | 9.09% | ÷0.988 | ×0.860 | ×1.050 | ×1.027 | 8.53% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.950 | ×1.050 | ×1.027 | 0.00% |
| Home runs /BIP | 7.85% | ÷0.895 | ×0.780 | — | ×1.027 | 7.03% |
Factors used: league row EL. Park (home-season share, regressed): HR 79, 1B 97, 2B 98, 3B 130, K 103, BB 111 — 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 ×1.050.
Result: wOBA .407 → .369; ISO .232 → .208; BABIP .390 → .399. 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 · 26 PAwOBA .378 → .351 (−27)K% 23.1% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.08% | ÷0.961 | ×1.200 | — | — | 28.82% |
| BB% (unintentional) /PA | 11.54% | ÷1.019 | ×0.690 | — | ×1.050 | 8.20% |
| HBP% /PA | 3.85% | — | ×0.940 | — | ×1.050 | 3.80% |
| Singles /BIP | 50.00% | ÷0.953 | ×0.930 | — | ×1.050 | 51.22% |
| Doubles /BIP | 0.00% | ÷0.951 | ×0.830 | — | ×1.050 | 0.00% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | — | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.033 | ×0.700 | — | ×1.050 | 0.00% |
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 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).
Result: wOBA .378 → .351; ISO .000 → .000; BABIP .500 → .512. 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+Brooklyn Cyclones · 209 PAwOBA .393 → .341 (−52)K% 25.4% → 32.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.36% | ÷1.041 | ×1.350 | — | — | 32.89% |
| BB% (unintentional) /PA | 11.48% | ÷1.006 | ×0.710 | — | ×1.012 | 8.20% |
| HBP% /PA | 1.44% | — | ×0.810 | — | ×1.012 | 1.18% |
| Singles /BIP | 26.56% | ÷0.957 | ×0.910 | ×1.050 | ×1.012 | 26.84% |
| Doubles /BIP | 10.94% | ÷0.930 | ×0.830 | ×1.050 | ×1.012 | 10.37% |
| Triples /BIP | 0.78% | ÷1.028 | ×0.820 | ×1.050 | ×1.012 | 0.66% |
| Home runs /BIP | 5.47% | ÷0.925 | ×0.830 | — | ×1.012 | 4.97% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 91, 2B 86, 3B 106, K 108, BB 101 — 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 ×1.050.
Result: wOBA .393 → .341; ISO .204 → .177; BABIP .402 → .395. 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 AABinghamton Rumble Ponies · 176 PAwOBA .348 → .303 (−45)K% 25.6% → 30.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.57% | ÷1.017 | ×1.220 | — | — | 30.66% |
| BB% (unintentional) /PA | 12.50% | ÷1.018 | ×0.690 | — | ×1.042 | 8.82% |
| HBP% /PA | 0.57% | — | ×0.850 | — | ×1.042 | 0.50% |
| Singles /BIP | 26.42% | ÷1.045 | ×0.940 | ×1.050 | ×1.042 | 26.00% |
| Doubles /BIP | 7.55% | ÷1.053 | ×0.870 | ×1.050 | ×1.042 | 6.82% |
| Triples /BIP | 0.00% | ÷1.060 | ×0.920 | ×1.050 | ×1.042 | 0.00% |
| Home runs /BIP | 4.72% | ÷0.995 | ×0.780 | — | ×1.042 | 3.85% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 109, 2B 111, 3B 112, K 103, BB 104 — 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 ×1.050.
Result: wOBA .348 → .303; ISO .152 → .129; BABIP .350 → .335. 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 ROKGCL Mets · 25 PAwOBA .473 → .327 (−146)K% 24.0% → 34.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.00% | ÷1.000 | ×1.440 | — | — | 34.56% |
| BB% (unintentional) /PA | 20.00% | ÷1.000 | ×0.620 | — | ×0.995 | 12.34% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 21.43% | ÷1.000 | ×0.820 | — | ×0.995 | 17.48% |
| Doubles /BIP | 21.43% | ÷1.000 | ×0.720 | — | ×0.995 | 15.35% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 7.14% | ÷1.000 | ×0.780 | — | ×0.995 | 5.54% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).
Result: wOBA .473 → .327; ISO .300 → .212; BABIP .462 → .348. 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 — .