José Caballero
SS New York Yankees| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR |
|---|---|---|---|---|---|---|---|---|
| 2024 | 27 | INTLAguilas Cibae… | 75 | .169/.260/.200 | 0 | 7 | 33 | — |
| 2024 | 27 | MLBTB | 483 | .227/.285/.347 | 9 | 44 | 76 | 1.3 |
| 2025 | 28 | MLBNYY | 370 | .236/.341/.347 | 5 | 49 | 96 | 2.0 |
| 2026 | 29 | MLBNYY | 456 | .231/.293/.365 | 14 | 34 | 81 | 0.6 |
| 2027PROJ | 30 | MLBNYY | 333 | .216/.289/.334 | 8 | 29 | 75 | 0.4 |
| 2028PROJ | 31 | MLBNYY | 314 | .212/.284/.324 | 7 | 22 | 71 | -0.1 |
Tools · Recent Form · Splits · ContractCON 40 / POW 40
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) | |||||||||||||||||||||||||||||||
| 2017 | 20 | ROK | Missoula Osprey | — | 151 | 135 | 43 | 8 | 3 | 2 | 8 | 27 | 6 | 4 | 0 | 319 | 383 | 467 | 849 | 148 | 380 | 18 | 5 | 374 | 66 | — | — | — | — | — | — |
| 2018 | 21 | A | Kane County Cougars | — | 150 | 129 | 38 | 7 | 2 | 4 | 16 | 16 | 4 | 5 | 5 | 295 | 389 | 473 | 862 | 178 | 312 | 11 | 11 | 382 | 91 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Modesto Nuts | — | 307 | 254 | 67 | 17 | 1 | 3 | 36 | 55 | 10 | 32 | 12 | 264 | 377 | 374 | 751 | 110 | 318 | 18 | 12 | 338 | 68 | — | — | — | — | — | — |
| 2019 | 22 | INTL | Peoria Javelinas | — | 74 | 63 | 12 | 2 | 0 | 1 | 9 | 21 | 2 | 8 | 2 | 190 | 311 | 270 | 581 | 79 | 268 | 28 | 12 | 278 | 74 | — | — | — | — | — | — |
| 2021 | 24 | AA | Arkansas Travelers | — | 28 | 20 | 4 | 1 | 0 | 1 | 7 | 4 | 0 | 2 | 1 | 200 | 407 | 400 | 807 | 200 | 188 | 14 | 25 | 359 | 93 | — | — | — | — | — | — |
| 2021 | 24 | A+ | Everett AquaSox | — | 21 | 17 | 5 | 2 | 0 | 0 | 3 | 4 | 1 | 8 | 1 | 294 | 429 | 412 | 840 | 118 | 385 | 19 | 14 | 386 | 82 | — | — | — | — | — | — |
| 2021 | 24 | ROK | ACL Mariners | — | 29 | 25 | 7 | 2 | 0 | 2 | 3 | 8 | 0 | 1 | 0 | 280 | 357 | 600 | 957 | 320 | 312 | 28 | 10 | 398 | 71 | — | — | — | — | — | — |
| 2021 | 24 | INTL | Panama | — | 71 | 62 | 13 | 1 | 0 | 1 | 7 | 22 | 2 | 4 | 4 | 210 | 310 | 274 | 584 | 65 | 308 | 31 | 10 | 277 | 74 | — | — | — | — | — | — |
| 2022 | 25 | AA | Arkansas Travelers | — | 134 | 97 | 22 | 4 | 0 | 2 | 35 | 22 | 2 | 15 | 2 | 227 | 440 | 330 | 770 | 103 | 274 | 16 | 26 | 371 | 87 | — | — | — | — | — | — |
| 2022 | 25 | INTL | Peoria Javelinas | — | 60 | 42 | 10 | 4 | 0 | 0 | 12 | 11 | 6 | 6 | 2 | 238 | 467 | 333 | 800 | 95 | 323 | 18 | 20 | 389 | 149 | — | — | — | — | — | — |
| 2023 | 26 | MLB | Seattle Mariners | — | 280 | 231 | 51 | 9 | 1 | 4 | 28 | 66 | 17 | 26 | 3 | 221 | 348 | 320 | 668 | 100 | 285 | 24 | 10 | 311 | 98 | -1 | +4 | +7 | +1 | +6 | 1.8 |
| 2023 | 26 | AAA | Tacoma Rainiers | — | 40 | 27 | 9 | 1 | 0 | 2 | 12 | 4 | 1 | 5 | 1 | 333 | 550 | 593 | 1.143 | 259 | 333 | 10 | 30 | 500 | 158 | — | — | — | — | — | — |
| 2024 | 27 | MLB | Tampa Bay Rays | — | 483 | 441 | 100 | 24 | 1 | 9 | 27 | 133 | 9 | 44 | 16 | 227 | 285 | 347 | 632 | 120 | 301 | 28 | 6 | 282 | 76 | -14 | +2 | +8 | +6 | +10 | 1.3 |
| 2024 | 27 | INTL | Aguilas Cibaenas | — | 75 | 65 | 11 | 2 | 0 | 0 | 8 | 17 | 0 | 7 | 1 | 169 | 260 | 200 | 460 | 31 | 224 | 23 | 11 | 217 | 33 | — | — | — | — | — | — |
| 2025 | 28 | MLB | New York Yankees | — | 370 | 314 | 74 | 18 | 1 | 5 | 47 | 98 | 3 | 49 | 11 | 236 | 341 | 347 | 688 | 111 | 324 | 26 | 13 | 312 | 96 | -2 | +5 | +4 | +4 | +8 | 2.0 |
| 2026 | 29 | MLB | New York Yankees | — | 456 | 411 | 95 | 13 | 0 | 14 | 29 | 111 | 7 | 34 | 11 | 231 | 293 | 365 | 658 | 134 | 278 | 24 | 6 | 291 | 81 | -10 | +2 | -1 | +5 | +10 | 0.6 |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1589 | 1397 | 320 | 64 | 3 | 32 | 131 | 408 | 36 | 153 | 41 | 229 | 311 | 348 | 659 | 119 | 297 | 26 | 8 | 297 | 87 | -25 | +14 | +18 | +16 | +34 | 5.9 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 20 | ROK MLE | Missoula Osprey | — | 151 | 138 | 31 | 5 | 2 | 1 | 5 | 39 | 6 | 4 | 0 | 225 | 282 | 312 | 593 | 87 | 297 | 26 | 3 | 266 | 66 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Kane County Cougars | — | 150 | 134 | 32 | 5 | 2 | 3 | 11 | 22 | 4 | 5 | 5 | 239 | 315 | 373 | 689 | 134 | 263 | 15 | 7 | 302 | 91 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Modesto Nuts | — | 307 | 266 | 58 | 13 | 1 | 4 | 24 | 76 | 10 | 32 | 12 | 218 | 307 | 320 | 626 | 102 | 263 | 25 | 8 | 269 | 68 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Arkansas Travelers | — | 28 | 23 | 4 | 1 | 0 | 1 | 4 | 5 | 0 | 2 | 1 | 174 | 296 | 348 | 644 | 174 | 173 | 18 | 14 | 306 | 93 | — | — | — | — | — | — |
| 2021 | 24 | A+ MLE | Everett AquaSox | — | 21 | 18 | 4 | 1 | 0 | 0 | 2 | 5 | 1 | 8 | 1 | 222 | 333 | 278 | 611 | 56 | 326 | 24 | 10 | 290 | 82 | — | — | — | — | — | — |
| 2021 | 24 | ROK MLE | ACL Mariners | — | 29 | 26 | 5 | 1 | 0 | 2 | 2 | 12 | 0 | 1 | 0 | 192 | 250 | 462 | 712 | 269 | 223 | 41 | 7 | 273 | 71 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | Arkansas Travelers | — | 134 | 107 | 20 | 3 | 0 | 2 | 25 | 26 | 2 | 15 | 2 | 187 | 351 | 271 | 622 | 84 | 235 | 19 | 19 | 297 | 87 | — | — | — | — | — | — |
| 2023 | 26 | MLB MLE | Seattle Mariners | — | 280 | 231 | 51 | 9 | 1 | 4 | 28 | 66 | 17 | 26 | 3 | 221 | 348 | 320 | 668 | 100 | 285 | 24 | 10 | 313 | 98 | -1 | +4 | +7 | +1 | +6 | 1.8 |
| 2023 | 26 | AAA MLE | Tacoma Rainiers | — | 40 | 31 | 8 | 1 | 0 | 1 | 8 | 5 | 1 | 5 | 1 | 258 | 425 | 387 | 812 | 129 | 300 | 12 | 20 | 401 | 158 | — | — | — | — | — | — |
| 2024 | 27 | MLB MLE | Tampa Bay Rays | — | 483 | 442 | 100 | 25 | 1 | 9 | 26 | 133 | 9 | 44 | 16 | 226 | 283 | 348 | 631 | 122 | 301 | 28 | 5 | 281 | 76 | -14 | +2 | +8 | +6 | +10 | 1.3 |
| 2025 | 28 | MLB MLE | New York Yankees | — | 370 | 314 | 74 | 18 | 1 | 5 | 47 | 98 | 3 | 49 | 11 | 236 | 341 | 347 | 688 | 111 | 324 | 26 | 13 | 311 | 96 | -2 | +5 | +4 | +4 | +8 | 2.0 |
| 2026 | 29 | MLB MLE | New York Yankees | — | 456 | 411 | 94 | 13 | 0 | 13 | 29 | 111 | 7 | 34 | 11 | 229 | 291 | 355 | 646 | 127 | 278 | 24 | 6 | 288 | 81 | -10 | +2 | -1 | +5 | +10 | 0.6 |
| 2017 | 20 | ROK MLE | Missoula Osprey | — | 151 | 138 | 31 | 5 | 2 | 1 | 5 | 39 | 6 | 4 | 0 | 225 | 282 | 312 | 593 | 87 | 300 | 26 | 3 | 266 | 66 | — | — | — | — | — | — |
| 2017 | 20 | ROK RAW | Missoula Osprey | — | 151 | 135 | 43 | 8 | 3 | 2 | 8 | 27 | 6 | 4 | 0 | 319 | 383 | 467 | 849 | 148 | 380 | 18 | 5 | 374 | 66 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Kane County Cougars | — | 150 | 134 | 32 | 5 | 2 | 3 | 11 | 22 | 4 | 5 | 5 | 239 | 315 | 373 | 689 | 134 | 266 | 15 | 7 | 302 | 91 | — | — | — | — | — | — |
| 2018 | 21 | A RAW | Kane County Cougars | — | 150 | 129 | 38 | 7 | 2 | 4 | 16 | 16 | 4 | 5 | 5 | 295 | 389 | 473 | 862 | 178 | 312 | 11 | 11 | 382 | 91 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | 2 teams | — | 381 | 333 | 70 | 16 | 1 | 4 | 29 | 94 | 12 | 40 | 14 | 210 | 297 | 300 | 597 | 90 | 275 | 25 | 8 | 269 | 68 | — | — | — | — | — | — |
| 2019 | 22 | A+ RAW | 2 teams | — | 381 | 317 | 79 | 19 | 1 | 4 | 45 | 76 | 12 | 40 | 14 | 249 | 364 | 353 | 717 | 104 | 310 | 20 | 12 | 326 | 68 | — | — | — | — | — | — |
| 2021 | 24 | INTL MLE | 4 teams | — | 149 | 129 | 26 | 7 | 0 | 5 | 15 | 42 | 3 | 15 | 6 | 202 | 299 | 372 | 671 | 171 | 250 | 28 | 10 | 289 | 82 | — | — | — | — | — | — |
| 2021 | 24 | INTL RAW | 4 teams | — | 149 | 124 | 29 | 6 | 0 | 4 | 20 | 38 | 3 | 15 | 6 | 234 | 354 | 379 | 733 | 145 | 298 | 26 | 13 | 331 | 82 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | 2 teams | — | 194 | 150 | 30 | 5 | 0 | 3 | 36 | 38 | 8 | 21 | 4 | 200 | 381 | 293 | 675 | 93 | 248 | 20 | 19 | 297 | 87 | — | — | — | — | — | — |
| 2022 | 25 | AA RAW | 2 teams | — | 194 | 139 | 32 | 8 | 0 | 2 | 47 | 33 | 8 | 21 | 4 | 230 | 448 | 331 | 779 | 101 | 288 | 17 | 24 | 376 | 87 | — | — | — | — | — | — |
| 2023 | 26 | MLB MLE | 2 teams | — | 320 | 262 | 60 | 10 | 1 | 5 | 36 | 71 | 18 | 31 | 4 | 229 | 361 | 332 | 693 | 103 | 289 | 22 | 11 | 324 | 105 | +2 | +5 | +7 | +1 | +7 | 2.2 |
| 2023 | 26 | MLB RAW | 2 teams | — | 320 | 258 | 60 | 10 | 1 | 6 | 40 | 70 | 18 | 31 | 4 | 233 | 373 | 349 | 722 | 116 | 290 | 22 | 12 | 334 | 105 | +2 | +5 | +7 | +1 | +7 | 2.2 |
| 2024 | 27 | MLB MLE | 2 teams | — | 558 | 511 | 115 | 28 | 1 | 11 | 30 | 154 | 9 | 51 | 17 | 225 | 280 | 348 | 628 | 123 | 297 | 28 | 5 | 281 | 76 | -16 | +3 | +8 | +6 | +12 | 1.4 |
| 2024 | 27 | MLB RAW | 2 teams | — | 558 | 506 | 111 | 26 | 1 | 9 | 35 | 150 | 9 | 51 | 17 | 219 | 282 | 328 | 610 | 109 | 291 | 27 | 6 | 274 | 76 | -16 | +3 | +8 | +6 | +12 | 1.4 |
| 2025 | 28 | MLB MLE | New York Yankees | — | 370 | 314 | 74 | 18 | 1 | 5 | 47 | 98 | 3 | 49 | 11 | 236 | 341 | 347 | 688 | 111 | 324 | 26 | 13 | 311 | 96 | -2 | +5 | +4 | +4 | +8 | 2.0 |
| 2025 | 28 | MLB RAW | New York Yankees | — | 370 | 314 | 74 | 18 | 1 | 5 | 47 | 98 | 3 | 49 | 11 | 236 | 341 | 347 | 688 | 111 | 324 | 26 | 13 | 312 | 96 | -2 | +5 | +4 | +4 | +8 | 2.0 |
| 2026 | 29 | MLB MLE | New York Yankees | — | 456 | 411 | 94 | 13 | 0 | 13 | 29 | 111 | 7 | 34 | 11 | 229 | 291 | 355 | 646 | 127 | 277 | 24 | 6 | 288 | 81 | -10 | +2 | -1 | +5 | +10 | 0.6 |
| 2026 | 29 | MLB RAW | New York Yankees | — | 456 | 411 | 95 | 13 | 0 | 14 | 29 | 111 | 7 | 34 | 11 | 231 | 293 | 365 | 658 | 134 | 278 | 24 | 6 | 291 | 81 | -10 | +2 | -1 | +5 | +10 | 0.6 |
| 2017 | 20 | ROK MLE | Missoula Osprey | — | 151 | 139 | 31 | 5 | 2 | 1 | 5 | 39 | 6 | 4 | 0 | 223 | 282 | 309 | 591 | 86 | 297 | 26 | 3 | 266 | 66 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Kane County Cougars | — | 150 | 134 | 32 | 5 | 2 | 3 | 11 | 22 | 4 | 5 | 5 | 239 | 315 | 373 | 689 | 134 | 263 | 15 | 7 | 302 | 91 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | 2 teams | — | 381 | 337 | 70 | 16 | 1 | 4 | 29 | 94 | 12 | 40 | 14 | 208 | 297 | 297 | 594 | 89 | 263 | 25 | 8 | 269 | 68 | — | — | — | — | — | — |
| 2021 | 24 | INTL MLE | 4 teams | — | 149 | 130 | 26 | 7 | 0 | 5 | 15 | 42 | 3 | 15 | 6 | 200 | 299 | 369 | 669 | 169 | 233 | 28 | 10 | 289 | 82 | — | — | — | — | — | — |
| 2022 | 25 | AA MLE | 2 teams | — | 194 | 148 | 30 | 5 | 0 | 3 | 36 | 38 | 8 | 21 | 4 | 203 | 381 | 297 | 679 | 95 | 235 | 20 | 19 | 297 | 87 | — | — | — | — | — | — |
| 2023 | 26 | MLB MLE | 2 teams | — | 320 | 263 | 60 | 10 | 1 | 5 | 36 | 71 | 18 | 31 | 4 | 228 | 361 | 331 | 692 | 103 | 287 | 22 | 11 | 324 | 105 | — | — | — | — | — | — |
| 2024 | 27 | MLB MLE | 2 teams | — | 558 | 514 | 115 | 28 | 1 | 11 | 30 | 154 | 9 | 51 | 17 | 224 | 280 | 346 | 626 | 123 | 301 | 28 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2025 | 28 | MLB MLE | New York Yankees | — | 370 | 317 | 74 | 18 | 1 | 5 | 47 | 98 | 3 | 49 | 11 | 233 | 341 | 344 | 685 | 110 | 324 | 26 | 13 | 311 | 96 | — | — | — | — | — | — |
| 2026 | 29 | MLB MLE | New York Yankees | — | 456 | 417 | 94 | 13 | 0 | 13 | 29 | 111 | 7 | 34 | 11 | 225 | 291 | 350 | 641 | 125 | 278 | 24 | 6 | 288 | 81 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 27 | MLB MLE | 2 teams | — | 558 | 514 | 115 | 28 | 1 | 11 | 30 | 154 | 9 | 51 | 17 | 224 | 280 | 346 | 626 | 123 | 301 | 28 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2025 | 28 | MLB MLE | New York Yankees | — | 370 | 317 | 74 | 18 | 1 | 5 | 47 | 98 | 3 | 49 | 11 | 233 | 341 | 344 | 685 | 110 | 324 | 26 | 13 | 311 | 96 | — | — | — | — | — | — |
| 2026 | 29 | MLB MLE | New York Yankees | — | 456 | 417 | 94 | 13 | 0 | 13 | 29 | 111 | 7 | 34 | 11 | 225 | 291 | 350 | 641 | 125 | 278 | 24 | 6 | 288 | 81 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 30 | MLB MLE | NYY | 100% | 429 | 386 | 82 | 14 | 1 | 9 | 34 | 107 | 6 | 37 | 8 | 215 | 288 | 329 | 617 | 114 | 269 | 25 | 8 | 279 | 75 | -13 | +4 | -0 | +5 | +9 | 0.4 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 30 | MLB CTX | NYY | 100% | 333 | 299 | 64 | 11 | 0 | 8 | 26 | 83 | 5 | 29 | 7 | 216 | 289 | 334 | 623 | 118 | 269 | 25 | 8 | 282 | 75 | -10 | +3 | -0 | +4 | +7 | 0.4 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 31 | MLB MLE | NYY | 100% | 314 | 283 | 59 | 10 | 0 | 7 | 24 | 79 | 4 | 22 | 5 | 210 | 283 | 319 | 602 | 108 | 265 | 25 | 8 | 273 | 71 | -11 | +2 | -3 | +3 | +7 | -0.1 |
| 2028 | 31 | MLB CTX | NYY | 100% | 314 | 283 | 59 | 10 | 0 | 7 | 24 | 79 | 4 | 22 | 5 | 212 | 284 | 324 | 608 | 112 | 265 | 25 | 8 | 276 | 71 | -11 | +2 | -3 | +3 | +7 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1903 | 1680 | 379 | 74 | 3 | 39 | 155 | 487 | 40 | 175 | 46 | 226 | 306 | 343 | 649 | 117 | 291 | 26 | 8 | 293 | 81 | -35 | +17 | +15 | +19 | +41 | 5.8 | |
| / 162G | — | A+C | — | 650 | 574 | 129 | 25 | 1 | 13 | 53 | 166 | 14 | 60 | 16 | 225 | 306 | 340 | 645 | 115 | 290 | 26 | 8 | 293 | 81 | -12 | +6 | +5 | +7 | +14 | 2.0 | |
| Career | — | MLE | — | 3376 | 2964 | 654 | 128 | 8 | 64 | 288 | 831 | 79 | 301 | 84 | 221 | 307 | 334 | 641 | 113 | 281 | 25 | 9 | 289 | 81 | -45 | +20 | +15 | +23 | +48 | 6.2 | |
| / 162G | — | MLE | — | 650 | 571 | 126 | 25 | 2 | 12 | 55 | 160 | 15 | 58 | 16 | 221 | 305 | 335 | 640 | 114 | 282 | 25 | 8 | 289 | 81 | -13 | +6 | +4 | +7 | +14 | 1.8 | |
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.
2023 AAATacoma Rainiers · 40 PAwOBA .488 → .401 (−88)K% 10.0% → 11.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.00% | ÷1.024 | ×1.200 | — | — | 11.72% |
| BB% (unintentional) /PA | 30.00% | ÷1.013 | ×0.690 | — | ×1.003 | 20.50% |
| HBP% /PA | 2.50% | — | ×0.940 | — | ×1.003 | 2.36% |
| Singles /BIP | 26.09% | ÷0.989 | ×0.930 | — | ×1.003 | 24.61% |
| Doubles /BIP | 4.35% | ÷0.940 | ×0.830 | — | ×1.003 | 3.85% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | — | ×1.003 | 0.00% |
| Home runs /BIP | 8.70% | ÷1.157 | ×0.700 | — | ×1.003 | 5.28% |
Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — 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).
Result: wOBA .488 → .401; ISO .259 → .191; BABIP .333 → .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).
2022 AAArkansas Travelers · 134 PAwOBA .363 → .297 (−66)K% 16.4% → 19.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.42% | ÷1.015 | ×1.220 | — | — | 19.73% |
| BB% (unintentional) /PA | 26.12% | ÷0.976 | ×0.700 | — | ×0.988 | 18.50% |
| HBP% /PA | 1.49% | — | ×0.870 | — | ×0.988 | 1.28% |
| Singles /BIP | 21.33% | ÷0.985 | ×0.920 | ×0.950 | ×0.988 | 18.71% |
| Doubles /BIP | 5.33% | ÷0.987 | ×0.840 | ×0.950 | ×0.988 | 4.26% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | ×0.950 | ×0.988 | 0.00% |
| Home runs /BIP | 2.67% | ÷0.909 | ×0.800 | — | ×0.988 | 2.32% |
Factors used: league row TL. Park (home-season share, regressed): HR 82, 1B 97, 2B 97, 3B 130, K 103, BB 95 — 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 ×0.950.
Result: wOBA .363 → .297; ISO .103 → .094; BABIP .274 → .235. 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 ROKACL Mariners · 29 PAwOBA .400 → .273 (−128)K% 27.6% → 39.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.59% | ÷0.996 | ×1.440 | — | — | 39.87% |
| BB% (unintentional) /PA | 10.34% | ÷1.024 | ×0.620 | — | ×0.945 | 5.92% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.945 | 0.00% |
| Singles /BIP | 17.65% | ÷0.992 | ×0.820 | — | ×0.945 | 13.79% |
| Doubles /BIP | 11.76% | ÷1.030 | ×0.720 | — | ×0.945 | 7.77% |
| Triples /BIP | 0.00% | ÷0.904 | ×0.720 | — | ×0.945 | 0.00% |
| Home runs /BIP | 11.76% | ÷0.904 | ×0.780 | — | ×0.945 | 9.59% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 98, 2B 106, 3B 81, K 99, BB 105 — applied at half strength. Age: age 25 vs a level average of 19.5 → −5.5% on BB/HBP/hit rates (5.5 yr older than average).
Result: wOBA .400 → .273; ISO .320 → .230; BABIP .312 → .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).
2021 AAArkansas Travelers · 28 PAwOBA .364 → .306 (−59)K% 14.3% → 17.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.29% | ÷1.013 | ×1.220 | — | — | 17.20% |
| BB% (unintentional) /PA | 25.00% | ÷1.144 | ×0.690 | — | ×0.998 | 15.05% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.998 | 0.00% |
| Singles /BIP | 12.50% | ÷0.999 | ×0.940 | — | ×0.998 | 11.74% |
| Doubles /BIP | 6.25% | ÷0.975 | ×0.870 | — | ×0.998 | 5.56% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | — | ×0.998 | 0.00% |
| Home runs /BIP | 6.25% | ÷0.892 | ×0.780 | — | ×0.998 | 5.46% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 100, 2B 95, 3B 130, K 103, BB 129 — 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).
Result: wOBA .364 → .306; ISO .200 → .208; BABIP .188 → .173. 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+Everett AquaSox · 21 PAwOBA .377 → .290 (−87)K% 19.0% → 26.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.05% | ÷0.985 | ×1.350 | — | — | 26.10% |
| BB% (unintentional) /PA | 14.29% | ÷1.125 | ×0.710 | — | ×0.978 | 8.82% |
| HBP% /PA | 4.76% | — | ×0.810 | — | ×0.978 | 3.77% |
| Singles /BIP | 23.08% | ÷0.978 | ×0.910 | — | ×0.978 | 21.00% |
| Doubles /BIP | 15.38% | ÷1.076 | ×0.830 | — | ×0.978 | 11.61% |
| Triples /BIP | 0.00% | ÷0.929 | ×0.820 | — | ×0.978 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.078 | ×0.830 | — | ×0.978 | 0.00% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 96, 2B 115, 3B 86, K 97, BB 125 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .377 → .290; ISO .118 → .088; BABIP .385 → .326. 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 A+Modesto Nuts · 307 PAwOBA .334 → .269 (−65)K% 17.9% → 24.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.92% | ÷0.976 | ×1.340 | — | — | 24.60% |
| BB% (unintentional) /PA | 11.40% | ÷1.052 | ×0.710 | — | ×0.998 | 7.68% |
| HBP% /PA | 3.26% | — | ×0.790 | — | ×0.998 | 2.57% |
| Singles /BIP | 23.12% | ÷1.005 | ×0.910 | ×0.950 | ×0.998 | 19.84% |
| Doubles /BIP | 8.54% | ÷1.050 | ×0.820 | ×0.950 | ×0.998 | 6.33% |
| Triples /BIP | 0.50% | ÷1.022 | ×0.760 | ×0.950 | ×0.998 | 0.35% |
| Home runs /BIP | 1.51% | ÷0.768 | ×0.920 | — | ×0.998 | 1.80% |
Factors used: league row CAL. Park (home-season share, regressed): HR 54, 1B 101, 2B 110, 3B 104, K 95, BB 110 — 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 ×0.950.
Result: wOBA .334 → .269; ISO .110 → .098; BABIP .318 → .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).
2018 AKane County Cougars · 150 PAwOBA .372 → .302 (−70)K% 10.7% → 14.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.67% | ÷0.975 | ×1.360 | — | — | 14.87% |
| BB% (unintentional) /PA | 10.67% | ÷0.974 | ×0.690 | — | — | 7.56% |
| HBP% /PA | 2.67% | — | ×0.780 | — | — | 2.08% |
| Singles /BIP | 22.12% | ÷1.014 | ×0.920 | ×0.964 | — | 19.34% |
| Doubles /BIP | 6.19% | ÷1.039 | ×0.830 | ×0.964 | — | 4.77% |
| Triples /BIP | 1.77% | ÷1.150 | ×0.910 | ×0.964 | — | 1.35% |
| Home runs /BIP | 3.54% | ÷0.937 | ×0.800 | — | — | 3.02% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 87, 1B 103, 2B 108, 3B 130, K 95, BB 95 — 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 ×0.964.
Result: wOBA .372 → .302; ISO .178 → .145; BABIP .312 → .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).
2017 ROKMissoula Osprey · 151 PAwOBA .369 → .266 (−102)K% 17.9% → 25.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.88% | ÷1.000 | ×1.440 | — | — | 25.75% |
| BB% (unintentional) /PA | 5.30% | ÷1.000 | ×0.610 | — | ×0.985 | 3.18% |
| HBP% /PA | 3.97% | — | ×0.720 | — | ×0.985 | 2.82% |
| Singles /BIP | 27.78% | ÷1.000 | ×0.820 | ×1.007 | ×0.985 | 22.59% |
| Doubles /BIP | 7.41% | ÷1.000 | ×0.720 | ×1.007 | ×0.985 | 5.29% |
| Triples /BIP | 2.78% | ÷1.000 | ×0.720 | ×1.007 | ×0.985 | 1.98% |
| Home runs /BIP | 1.85% | ÷1.000 | ×0.750 | — | ×0.985 | 1.37% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.
Result: wOBA .369 → .266; ISO .148 → .102; BABIP .380 → .297. 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 — .