Jared Young
1B New York Mets| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 29 | AAASTL | 286 | .285/.411/.506 | 11 | 6 | 103 | — | .233/.330/.386 |
| 2025 | 30 | AAA/ANYM | 336 | .303/.405/.567 | 18 | 8 | 99 | — | .241/.318/.413 |
| 2025 | 30 | MLBNYM | 47 | .186/.239/.488 | 4 | 0 | 97 | -0.3 | |
| 2026 | 31 | MLBNYM | 342 | .266/.333/.429 | 9 | 3 | 120 | 1.0 | |
| 2027PROJ | 32 | MLBNYM | 262 | .246/.317/.424 | 9 | 4 | 113 | 0.6 | |
| 2028PROJ92% MLB | 33 | MLBNYM | 213 | .239/.309/.407 | 7 | 1 | 106 | -0.2 |
Tools · Recent Form · ContractCON 60 / POW 60
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) | |||||||||||||||||||||||||||||||
| 2018 | 23 | A+ | Myrtle Beach Pelicans | — | 208 | 188 | 53 | 6 | 2 | 6 | 11 | 40 | 7 | 6 | 1 | 282 | 345 | 431 | 776 | 149 | 326 | 19 | 5 | 344 | 73 | — | — | — | — | — | — |
| 2018 | 23 | A | South Bend Cubs | — | 293 | 259 | 81 | 13 | 6 | 10 | 20 | 47 | 6 | 1 | 0 | 313 | 375 | 525 | 901 | 212 | 341 | 16 | 7 | 384 | 107 | — | — | — | — | — | — |
| 2019 | 24 | AA | Tennessee Smokies | — | 504 | 455 | 107 | 21 | 1 | 5 | 33 | 106 | 9 | 5 | 2 | 235 | 300 | 319 | 618 | 84 | 292 | 21 | 7 | 280 | 35 | — | — | — | — | — | — |
| 2019 | 24 | INTL | Mesa Solar Sox | — | 54 | 46 | 9 | 2 | 0 | 1 | 7 | 8 | 1 | 2 | 0 | 196 | 315 | 304 | 619 | 109 | 216 | 15 | 13 | 291 | 83 | — | — | — | — | — | — |
| 2021 | 26 | AAA | Iowa Cubs | — | 141 | 126 | 32 | 4 | 1 | 5 | 14 | 33 | 0 | 1 | 1 | 254 | 329 | 421 | 749 | 167 | 303 | 23 | 10 | 332 | 65 | — | — | — | — | — | — |
| 2021 | 26 | AA | Tennessee Smokies | — | 144 | 129 | 42 | 11 | 1 | 4 | 14 | 22 | 1 | 3 | 0 | 326 | 396 | 519 | 915 | 194 | 369 | 15 | 10 | 403 | 109 | — | — | — | — | — | — |
| 2021 | 26 | INTL | Tigres del Licey | — | 16 | 14 | 0 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 125 | 125 | 25 | 12 | 87 | -55 | — | — | — | — | — | — | ||||
| 2022 | 27 | MLB | Chicago Cubs | — | 22 | 19 | 5 | 2 | 0 | 0 | 3 | 7 | 0 | 1 | 0 | 263 | 364 | 368 | 732 | 105 | 417 | 32 | 14 | 335 | 111 | +0 | +0 | -0 | -9 | +0 | -0.8 |
| 2022 | 27 | AAA | Iowa Cubs | — | 455 | 400 | 92 | 21 | 2 | 17 | 40 | 110 | 9 | 3 | 2 | 230 | 314 | 420 | 734 | 190 | 271 | 24 | 9 | 323 | 61 | — | — | — | — | — | — |
| 2023 | 28 | MLB | Chicago Cubs | — | 47 | 43 | 8 | 0 | 3 | 2 | 3 | 13 | 1 | 2 | 0 | 186 | 255 | 465 | 720 | 279 | 214 | 28 | 6 | 310 | 88 | -1 | +0 | -3 | -8 | +1 | -1.0 |
| 2023 | 28 | AAA | Iowa Cubs | — | 376 | 310 | 96 | 16 | 2 | 21 | 50 | 84 | 10 | 7 | 3 | 310 | 422 | 577 | 999 | 268 | 359 | 22 | 13 | 429 | 121 | — | — | — | — | — | — |
| 2024 | 29 | AAA | Memphis Redbirds | — | 286 | 235 | 67 | 15 | 2 | 11 | 41 | 53 | 9 | 6 | 4 | 285 | 411 | 506 | 917 | 221 | 327 | 19 | 14 | 405 | 103 | — | — | — | — | — | — |
| 2025 | 30 | MLB | New York Mets | — | 47 | 43 | 8 | 1 | 0 | 4 | 2 | 16 | 1 | 0 | 0 | 186 | 239 | 488 | 728 | 302 | 167 | 34 | 4 | 308 | 97 | -0 | +0 | -0 | -4 | +1 | -0.3 |
| 2025 | 30 | AAA | Syracuse Mets | — | 321 | 273 | 82 | 14 | 3 | 17 | 41 | 57 | 4 | 8 | 2 | 300 | 399 | 560 | 960 | 260 | 322 | 18 | 13 | 415 | 95 | — | — | — | — | — | — |
| 2025 | 30 | A | St. Lucie Mets | — | 15 | 11 | 4 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 364 | 533 | 727 | 1.261 | 364 | 300 | 0 | 27 | 531 | 192 | — | — | — | — | — | — |
| 2026 | 31 | MLB | New York Mets | — | 342 | 308 | 82 | 17 | 3 | 9 | 25 | 63 | 6 | 3 | 1 | 266 | 333 | 429 | 762 | 162 | 305 | 18 | 7 | 337 | 120 | +8 | +0 | +0 | -6 | +7 | 1.0 |
| 2026 | 31 | AAA | Syracuse Mets | — | 16 | 16 | 4 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 250 | 250 | 312 | 562 | 62 | 286 | 12 | 0 | 250 | 24 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 458 | 413 | 103 | 20 | 6 | 15 | 33 | 99 | 8 | 6 | 1 | 249 | 317 | 436 | 753 | 186 | 290 | 22 | 7 | 331 | 110 | +6 | +1 | -2 | -27 | +10 | -1.3 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 23 | A+ MLE | Myrtle Beach Pelicans | — | 208 | 193 | 44 | 5 | 2 | 5 | 6 | 58 | 7 | 6 | 1 | 228 | 277 | 352 | 629 | 124 | 289 | 28 | 3 | 276 | 73 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | South Bend Cubs | — | 293 | 265 | 72 | 10 | 5 | 9 | 14 | 64 | 6 | 1 | 0 | 272 | 323 | 449 | 772 | 177 | 303 | 22 | 5 | 326 | 107 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Tennessee Smokies | — | 504 | 467 | 88 | 18 | 1 | 3 | 21 | 133 | 9 | 5 | 2 | 188 | 237 | 251 | 488 | 62 | 248 | 26 | 4 | 220 | 35 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | Iowa Cubs | — | 141 | 130 | 28 | 4 | 1 | 3 | 10 | 38 | 0 | 1 | 1 | 215 | 271 | 331 | 602 | 115 | 274 | 27 | 7 | 265 | 65 | — | — | — | — | — | — |
| 2021 | 26 | AA MLE | Tennessee Smokies | — | 144 | 134 | 38 | 9 | 1 | 3 | 9 | 27 | 1 | 3 | 0 | 284 | 333 | 433 | 766 | 149 | 336 | 19 | 6 | 329 | 109 | — | — | — | — | — | — |
| 2022 | 27 | MLB MLE | Chicago Cubs | — | 22 | 19 | 5 | 2 | 0 | 0 | 3 | 7 | 0 | 1 | 0 | 263 | 364 | 368 | 732 | 105 | 417 | 32 | 14 | 332 | 111 | +0 | +0 | -0 | -9 | +0 | -0.8 |
| 2022 | 27 | AAA MLE | Iowa Cubs | — | 455 | 415 | 82 | 18 | 2 | 12 | 25 | 134 | 9 | 3 | 2 | 198 | 258 | 337 | 596 | 140 | 248 | 29 | 5 | 259 | 61 | — | — | — | — | — | — |
| 2023 | 28 | MLB MLE | Chicago Cubs | — | 47 | 43 | 8 | 0 | 3 | 2 | 3 | 13 | 1 | 2 | 0 | 186 | 255 | 465 | 720 | 279 | 214 | 28 | 6 | 298 | 88 | -1 | +0 | -3 | -8 | +1 | -1.0 |
| 2023 | 28 | AAA MLE | Iowa Cubs | — | 376 | 327 | 85 | 13 | 2 | 16 | 33 | 99 | 10 | 7 | 3 | 260 | 346 | 459 | 805 | 199 | 312 | 26 | 9 | 347 | 121 | — | — | — | — | — | — |
| 2024 | 29 | AAA MLE | Memphis Redbirds | — | 286 | 249 | 58 | 13 | 2 | 7 | 27 | 67 | 9 | 6 | 4 | 233 | 330 | 386 | 715 | 153 | 293 | 23 | 9 | 320 | 103 | — | — | — | — | — | — |
| 2025 | 30 | MLB MLE | New York Mets | — | 47 | 43 | 8 | 1 | 0 | 4 | 2 | 16 | 1 | 0 | 0 | 186 | 239 | 488 | 728 | 302 | 167 | 34 | 4 | 311 | 97 | -0 | +0 | -0 | -4 | +1 | -0.3 |
| 2025 | 30 | AAA MLE | Syracuse Mets | — | 321 | 287 | 68 | 11 | 3 | 10 | 27 | 70 | 4 | 8 | 2 | 237 | 311 | 401 | 712 | 164 | 268 | 22 | 8 | 308 | 95 | — | — | — | — | — | — |
| 2025 | 30 | A MLE | St. Lucie Mets | — | 15 | 12 | 4 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 333 | 467 | 667 | 1.133 | 333 | 260 | 0 | 20 | 452 | 192 | — | — | — | — | — | — |
| 2026 | 31 | MLB MLE | New York Mets | — | 342 | 308 | 84 | 18 | 3 | 9 | 25 | 63 | 6 | 3 | 1 | 273 | 339 | 438 | 778 | 166 | 305 | 18 | 7 | 345 | 120 | +8 | +0 | +0 | -6 | +7 | 1.0 |
| 2026 | 31 | AAA MLE | Syracuse Mets | — | 16 | 16 | 4 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 250 | 250 | 312 | 562 | 62 | 249 | 12 | 0 | 204 | 24 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | 2 teams | — | 501 | 458 | 116 | 15 | 7 | 14 | 20 | 121 | 13 | 7 | 1 | 253 | 303 | 408 | 712 | 155 | 308 | 24 | 4 | 305 | 93 | — | — | — | — | — | — |
| 2018 | 23 | A RAW | 2 teams | — | 501 | 447 | 134 | 19 | 8 | 16 | 31 | 87 | 13 | 7 | 1 | 300 | 363 | 485 | 848 | 186 | 335 | 17 | 6 | 368 | 93 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 558 | 518 | 98 | 20 | 1 | 4 | 23 | 147 | 10 | 7 | 2 | 189 | 238 | 255 | 493 | 66 | 253 | 26 | 4 | 220 | 35 | — | — | — | — | — | — |
| 2019 | 24 | AA RAW | 2 teams | — | 558 | 501 | 116 | 23 | 1 | 6 | 40 | 114 | 10 | 7 | 2 | 232 | 301 | 317 | 619 | 86 | 285 | 20 | 7 | 281 | 35 | — | — | — | — | — | — |
| 2021 | 26 | AA MLE | 3 teams | — | 301 | 279 | 71 | 14 | 2 | 7 | 20 | 69 | 1 | 4 | 1 | 254 | 307 | 394 | 701 | 140 | 314 | 23 | 7 | 297 | 87 | — | — | — | — | — | — |
| 2021 | 26 | AA RAW | 3 teams | — | 301 | 269 | 74 | 15 | 2 | 9 | 30 | 59 | 1 | 4 | 1 | 275 | 350 | 446 | 796 | 171 | 322 | 20 | 10 | 353 | 87 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | 2 teams | — | 477 | 434 | 87 | 20 | 2 | 12 | 28 | 141 | 9 | 4 | 2 | 200 | 263 | 339 | 602 | 138 | 263 | 30 | 6 | 262 | 64 | — | — | — | — | — | — |
| 2022 | 27 | AAA RAW | 2 teams | — | 477 | 419 | 97 | 23 | 2 | 17 | 43 | 117 | 9 | 4 | 2 | 232 | 316 | 418 | 734 | 186 | 277 | 25 | 9 | 324 | 64 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | 2 teams | — | 423 | 370 | 93 | 13 | 5 | 18 | 36 | 112 | 11 | 9 | 3 | 251 | 336 | 459 | 795 | 208 | 307 | 26 | 9 | 342 | 117 | — | — | — | — | — | — |
| 2023 | 28 | AAA RAW | 2 teams | — | 423 | 353 | 104 | 16 | 5 | 23 | 53 | 97 | 11 | 9 | 3 | 295 | 403 | 564 | 967 | 269 | 342 | 23 | 13 | 416 | 117 | — | — | — | — | — | — |
| 2024 | 29 | AAA MLE | Memphis Redbirds | — | 286 | 249 | 58 | 13 | 2 | 7 | 27 | 67 | 9 | 6 | 4 | 233 | 330 | 386 | 715 | 153 | 291 | 23 | 9 | 320 | 103 | — | — | — | — | — | — |
| 2024 | 29 | AAA RAW | Memphis Redbirds | — | 286 | 235 | 67 | 15 | 2 | 11 | 41 | 53 | 9 | 6 | 4 | 285 | 411 | 506 | 917 | 221 | 327 | 19 | 14 | 405 | 103 | — | — | — | — | — | — |
| 2025 | 30 | AAA MLE | 3 teams | — | 383 | 342 | 80 | 13 | 3 | 15 | 32 | 86 | 5 | 8 | 2 | 234 | 309 | 421 | 730 | 187 | 265 | 22 | 8 | 314 | 99 | — | — | — | — | — | — |
| 2025 | 30 | AAA RAW | 3 teams | — | 383 | 327 | 94 | 16 | 3 | 22 | 47 | 73 | 5 | 8 | 2 | 287 | 385 | 557 | 942 | 269 | 305 | 19 | 12 | 406 | 99 | — | — | — | — | — | — |
| 2026 | 31 | MLB MLE | 2 teams | — | 358 | 324 | 88 | 19 | 3 | 9 | 25 | 65 | 6 | 3 | 1 | 272 | 335 | 432 | 767 | 160 | 312 | 18 | 7 | 339 | 115 | +7 | +0 | +0 | -6 | +8 | 0.9 |
| 2026 | 31 | MLB RAW | 2 teams | — | 358 | 324 | 86 | 18 | 3 | 9 | 25 | 65 | 6 | 3 | 1 | 265 | 330 | 423 | 752 | 157 | 304 | 18 | 7 | 333 | 115 | +7 | +0 | +0 | -6 | +8 | 0.9 |
| 2018 | 23 | A MLE | 2 teams | — | 501 | 463 | 116 | 15 | 7 | 14 | 20 | 121 | 13 | 7 | 1 | 251 | 303 | 404 | 707 | 153 | 297 | 24 | 4 | 305 | 93 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 558 | 520 | 98 | 20 | 1 | 4 | 23 | 147 | 10 | 7 | 2 | 188 | 238 | 254 | 492 | 65 | 248 | 26 | 4 | 220 | 35 | — | — | — | — | — | — |
| 2021 | 26 | AA MLE | 3 teams | — | 301 | 277 | 71 | 14 | 2 | 7 | 20 | 69 | 1 | 4 | 1 | 256 | 307 | 397 | 704 | 141 | 305 | 23 | 7 | 297 | 87 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | 2 teams | — | 477 | 437 | 87 | 20 | 2 | 12 | 28 | 141 | 9 | 4 | 2 | 199 | 263 | 336 | 600 | 137 | 256 | 30 | 6 | 262 | 64 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | 2 teams | — | 423 | 373 | 93 | 13 | 5 | 18 | 36 | 112 | 11 | 9 | 3 | 249 | 336 | 456 | 791 | 206 | 301 | 26 | 9 | 342 | 117 | — | — | — | — | — | — |
| 2024 | 29 | AAA MLE | Memphis Redbirds | — | 286 | 248 | 58 | 13 | 2 | 7 | 27 | 67 | 9 | 6 | 4 | 234 | 330 | 387 | 717 | 153 | 293 | 23 | 9 | 320 | 103 | — | — | — | — | — | — |
| 2025 | 30 | AAA MLE | 3 teams | — | 383 | 343 | 80 | 13 | 3 | 15 | 32 | 86 | 5 | 8 | 2 | 233 | 309 | 420 | 729 | 187 | 255 | 22 | 8 | 314 | 99 | — | — | — | — | — | — |
| 2026 | 31 | MLB MLE | 2 teams | — | 358 | 324 | 88 | 19 | 3 | 9 | 25 | 65 | 6 | 3 | 1 | 272 | 335 | 432 | 767 | 160 | 303 | 18 | 7 | 339 | 115 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 29 | AAA MLE | Memphis Redbirds | — | 286 | 248 | 58 | 13 | 2 | 7 | 27 | 67 | 9 | 6 | 4 | 234 | 330 | 387 | 717 | 153 | 293 | 23 | 9 | 320 | 103 | — | — | — | — | — | — |
| 2025 | 30 | AAA MLE | 3 teams | — | 383 | 343 | 80 | 13 | 3 | 15 | 32 | 86 | 5 | 8 | 2 | 233 | 309 | 420 | 729 | 187 | 255 | 22 | 8 | 314 | 99 | — | — | — | — | — | — |
| 2026 | 31 | MLB MLE | 2 teams | — | 358 | 324 | 88 | 19 | 3 | 9 | 25 | 65 | 6 | 3 | 1 | 272 | 335 | 432 | 767 | 160 | 303 | 18 | 7 | 339 | 115 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 32 | MLB MLE | NYM | 100% | 372 | 334 | 84 | 16 | 2 | 13 | 29 | 76 | 6 | 5 | 1 | 253 | 324 | 435 | 758 | 182 | 288 | 20 | 8 | 335 | 113 | +6 | +1 | +0 | -7 | +8 | 0.8 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 32 | MLB CTX | NYM | 100% | 262 | 235 | 58 | 11 | 2 | 9 | 21 | 53 | 4 | 4 | 1 | 246 | 317 | 424 | 741 | 178 | 278 | 20 | 8 | 328 | 113 | +4 | +0 | +0 | -5 | +6 | 0.6 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 33 | MLB MLE | NYM | 92% | 231 | 208 | 50 | 9 | 1 | 8 | 18 | 48 | 3 | 1 | 1 | 246 | 315 | 418 | 733 | 172 | 282 | 21 | 8 | 324 | 106 | +2 | -0 | -4 | -4 | +5 | -0.2 |
| 2028 | 33 | MLB CTX | NYM | 92% | 213 | 192 | 45 | 8 | 1 | 7 | 16 | 45 | 3 | 1 | 1 | 239 | 309 | 407 | 717 | 169 | 273 | 21 | 8 | 318 | 106 | +1 | -0 | -4 | -4 | +5 | -0.2 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 671 | 605 | 148 | 28 | 7 | 22 | 49 | 144 | 11 | 7 | 2 | 245 | 313 | 423 | 736 | 179 | 284 | 21 | 7 | 327 | 89 | +7 | +1 | -6 | -30 | +15 | -1.5 | |
| / 162G | — | A+C | — | 650 | 586 | 143 | 27 | 7 | 21 | 47 | 139 | 11 | 7 | 2 | 244 | 312 | 422 | 734 | 177 | 283 | 21 | 7 | 327 | 89 | +7 | +1 | -6 | -29 | +14 | -1.4 | |
| Career | — | MLE | — | 3780 | 3417 | 800 | 147 | 28 | 103 | 250 | 909 | 71 | 53 | 18 | 234 | 300 | 384 | 684 | 150 | 286 | 24 | 7 | 299 | 89 | +11 | +1 | -6 | -35 | +21 | -0.9 | |
| / 162G | — | MLE | — | 650 | 588 | 138 | 25 | 5 | 18 | 43 | 156 | 12 | 9 | 3 | 235 | 300 | 386 | 686 | 151 | 286 | 24 | 7 | 299 | 89 | +8 | +1 | -4 | -24 | +14 | -0.6 | |
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.
2026 AAASyracuse Mets · 16 PAwOBA .243 → .204 (−39)K% 12.5% → 15.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.50% | ÷1.000 | ×1.200 | — | — | 15.00% |
| BB% (unintentional) /PA | 0.00% | ÷1.000 | ×0.690 | — | ×0.962 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.962 | 0.00% |
| Singles /BIP | 21.43% | ÷1.000 | ×0.930 | — | ×0.962 | 19.17% |
| Doubles /BIP | 7.14% | ÷1.000 | ×0.830 | — | ×0.962 | 5.70% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | — | ×0.962 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.700 | — | ×0.962 | 0.00% |
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 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average).
Result: wOBA .243 → .204; ISO .062 → .048; BABIP .286 → .249. 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 AAASyracuse Mets · 321 PAwOBA .408 → .308 (−99)K% 17.8% → 21.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.76% | ÷0.981 | ×1.200 | — | — | 21.73% |
| BB% (unintentional) /PA | 12.77% | ÷1.005 | ×0.690 | — | ×0.972 | 8.52% |
| HBP% /PA | 1.25% | — | ×0.940 | — | ×0.972 | 1.14% |
| Singles /BIP | 22.22% | ÷0.975 | ×0.930 | ×0.959 | ×0.972 | 19.75% |
| Doubles /BIP | 6.48% | ÷1.022 | ×0.830 | ×0.959 | ×0.972 | 4.91% |
| Triples /BIP | 1.39% | ÷0.959 | ×0.970 | ×0.959 | ×0.972 | 1.31% |
| Home runs /BIP | 7.87% | ÷1.167 | ×0.700 | — | ×0.972 | 4.59% |
Factors used: league row International League. Park (home-season share, regressed): HR 133, 1B 95, 2B 104, 3B 92, K 96, BB 101 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.959.
Result: wOBA .408 → .308; ISO .260 → .172; BABIP .322 → .268. 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 ASt. Lucie Mets · 15 PAwOBA .518 → .452 (−66)K% 0.0% → 0.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 0.00% | ÷1.060 | ×1.360 | — | — | 0.00% |
| BB% (unintentional) /PA | 26.67% | ÷0.953 | ×0.690 | — | ×0.940 | 18.14% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.940 | 0.00% |
| Singles /BIP | 18.18% | ÷0.977 | ×0.920 | — | ×0.940 | 16.10% |
| Doubles /BIP | 9.09% | ÷0.903 | ×0.830 | — | ×0.940 | 7.85% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | — | ×0.940 | 0.00% |
| Home runs /BIP | 9.09% | ÷0.855 | ×0.800 | — | ×0.940 | 8.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 71, 1B 95, 2B 81, 3B 130, K 112, BB 91 — applied at half strength. Age: age 30 vs a level average of 22.0 → −6.0% on BB/HBP/hit rates (8.0 yr older than average).
Result: wOBA .518 → .452; ISO .364 → .355; BABIP .300 → .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).
2024 AAAMemphis Redbirds · 286 PAwOBA .395 → .320 (−75)K% 18.5% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.53% | ÷0.953 | ×1.200 | — | — | 23.34% |
| BB% (unintentional) /PA | 14.34% | ÷1.014 | ×0.690 | — | ×0.982 | 9.58% |
| HBP% /PA | 3.15% | — | ×0.940 | — | ×0.982 | 2.90% |
| Singles /BIP | 21.43% | ÷0.991 | ×0.930 | ×1.007 | ×0.982 | 19.88% |
| Doubles /BIP | 8.24% | ÷0.920 | ×0.830 | ×1.007 | ×0.982 | 7.35% |
| Triples /BIP | 1.10% | ÷1.150 | ×0.970 | ×1.007 | ×0.982 | 0.92% |
| Home runs /BIP | 6.04% | ÷1.020 | ×0.700 | — | ×0.982 | 4.07% |
Factors used: league row International League. Park (home-season share, regressed): HR 104, 1B 98, 2B 84, 3B 130, K 91, BB 103 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .395 → .320; ISO .221 → .167; BABIP .327 → .293. 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 AAAIowa Cubs · 376 PAwOBA .421 → .347 (−75)K% 22.3% → 26.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.34% | ÷1.019 | ×1.200 | — | — | 26.31% |
| BB% (unintentional) /PA | 13.03% | ÷1.014 | ×0.690 | — | ×0.992 | 8.79% |
| HBP% /PA | 2.66% | — | ×0.940 | — | ×0.992 | 2.48% |
| Singles /BIP | 25.22% | ÷1.025 | ×0.930 | ×1.015 | ×0.992 | 23.06% |
| Doubles /BIP | 7.08% | ÷1.049 | ×0.830 | ×1.015 | ×0.992 | 5.64% |
| Triples /BIP | 0.88% | ÷0.916 | ×0.970 | ×1.015 | ×0.992 | 0.94% |
| Home runs /BIP | 9.29% | ÷0.965 | ×0.700 | — | ×0.992 | 6.68% |
Factors used: league row International League. Park (home-season share, regressed): HR 93, 1B 105, 2B 110, 3B 83, K 104, BB 103 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.
Result: wOBA .421 → .347; ISO .268 → .209; BABIP .359 → .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).
2022 AAAIowa Cubs · 455 PAwOBA .316 → .259 (−57)K% 24.2% → 29.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.18% | ÷0.988 | ×1.200 | — | — | 29.36% |
| BB% (unintentional) /PA | 8.35% | ÷1.048 | ×0.690 | — | ×1.003 | 5.52% |
| HBP% /PA | 1.98% | — | ×0.940 | — | ×1.003 | 1.86% |
| Singles /BIP | 17.93% | ÷0.985 | ×0.930 | ×1.014 | ×1.003 | 17.22% |
| Doubles /BIP | 7.24% | ÷0.967 | ×0.830 | ×1.014 | ×1.003 | 6.32% |
| Triples /BIP | 0.69% | ÷1.118 | ×0.970 | ×1.014 | ×1.003 | 0.61% |
| Home runs /BIP | 5.86% | ÷0.996 | ×0.700 | — | ×1.003 | 4.13% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — 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 ×1.014.
Result: wOBA .316 → .259; ISO .190 → .143; BABIP .271 → .248. 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 AATennessee Smokies · 144 PAwOBA .393 → .329 (−63)K% 15.3% → 18.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.28% | ÷0.990 | ×1.220 | — | — | 18.83% |
| BB% (unintentional) /PA | 9.72% | ÷1.066 | ×0.690 | — | ×0.988 | 6.22% |
| HBP% /PA | 0.69% | — | ×0.850 | — | ×0.988 | 0.58% |
| Singles /BIP | 24.30% | ÷0.970 | ×0.940 | ×0.998 | ×0.988 | 23.23% |
| Doubles /BIP | 10.28% | ÷1.015 | ×0.870 | ×0.998 | ×0.988 | 8.69% |
| Triples /BIP | 0.93% | ÷1.150 | ×0.920 | ×0.998 | ×0.988 | 0.74% |
| Home runs /BIP | 3.74% | ÷1.050 | ×0.780 | — | ×0.988 | 2.74% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 94, 2B 103, 3B 130, K 98, BB 113 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.998.
Result: wOBA .393 → .329; ISO .194 → .153; BABIP .369 → .336. 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 AAAIowa Cubs · 141 PAwOBA .326 → .265 (−61)K% 23.4% → 27.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.40% | ÷1.032 | ×1.200 | — | — | 27.21% |
| BB% (unintentional) /PA | 9.93% | ÷1.023 | ×0.690 | — | ×1.018 | 6.82% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 23.66% | ÷1.039 | ×0.930 | ×1.013 | ×1.018 | 21.84% |
| Doubles /BIP | 4.30% | ÷0.963 | ×0.830 | ×1.013 | ×1.018 | 3.82% |
| Triples /BIP | 1.08% | ÷0.988 | ×0.920 | ×1.013 | ×1.018 | 1.03% |
| Home runs /BIP | 5.38% | ÷1.081 | ×0.700 | — | ×1.018 | 3.55% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — 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 ×1.013.
Result: wOBA .326 → .265; ISO .167 → .122; BABIP .303 → .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).