Carlos Mendoza
2B Buffalo Bisons| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 24 | AA/A+/INTL2 orgs | 655 | .262/.381/.363 | 6 | 36 | 93 | — | .255/.346/.343 |
| 2025 | 25 | AAA/AA/INTL2 orgs | 586 | .289/.397/.414 | 9 | 13 | 112 | — | .275/.359/.376 |
| 2026 | 26 | AAA/INTL2 orgs | 458 | .253/.391/.373 | 9 | 7 | 91 | — | .223/.327/.306 |
| 2027PROJ10% MLB | 27 | MLBTOR | 16 | .232/.326/.323 | 0 | 0 | 88 | 0.0 | |
| 2028PROJ38% MLB | 28 | MLBTOR | 83 | .231/.324/.323 | 1 | 2 | 87 | 0.1 |
Tools · ContractCON 60 / POW 35
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 | DSL Tigers 1 | — | 300 | 240 | 71 | 6 | 7 | 0 | 46 | 28 | 10 | 25 | 14 | 296 | 429 | 379 | 808 | 83 | 333 | 9 | 15 | 370 | 51 | — | — | — | — | — | — |
| 2021 | 21 | A | Lakeland Flying Tigers | — | 90 | 73 | 21 | 4 | 1 | 0 | 14 | 13 | 3 | 3 | 0 | 288 | 422 | 370 | 792 | 82 | 350 | 14 | 16 | 369 | 95 | — | — | — | — | — | — |
| 2021 | 21 | ROK | FCL Tigers East | — | 95 | 65 | 27 | 2 | 1 | 1 | 25 | 9 | 4 | 12 | 0 | 415 | 596 | 523 | 1.119 | 108 | 464 | 9 | 26 | 500 | 145 | — | — | — | — | — | — |
| 2021 | 21 | INTL | Caribes de Anzoategui | — | 27 | 23 | 4 | 2 | 0 | 0 | 4 | 7 | 0 | 1 | 1 | 174 | 296 | 261 | 557 | 87 | 250 | 26 | 15 | 266 | 66 | — | — | — | — | — | — |
| 2022 | 22 | A+ | West Michigan Whitecaps | — | 213 | 162 | 40 | 4 | 2 | 0 | 37 | 30 | 7 | 4 | 5 | 247 | 408 | 296 | 704 | 49 | 296 | 14 | 17 | 329 | 76 | — | — | — | — | — | — |
| 2022 | 22 | A | Lakeland Flying Tigers | — | 189 | 146 | 42 | 8 | 1 | 2 | 41 | 28 | 2 | 8 | 3 | 288 | 450 | 397 | 847 | 110 | 345 | 15 | 22 | 392 | 101 | — | — | — | — | — | — |
| 2022 | 22 | INTL | Caribes de Anzoategui | — | 25 | 24 | 6 | 1 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 250 | 280 | 292 | 572 | 42 | 286 | 12 | 4 | 260 | 62 | — | — | — | — | — | — |
| 2023 | 23 | A+ | West Michigan Whitecaps | — | 244 | 191 | 49 | 7 | 1 | 0 | 40 | 39 | 5 | 8 | 5 | 257 | 398 | 304 | 702 | 47 | 318 | 16 | 16 | 325 | 78 | — | — | — | — | — | — |
| 2023 | 23 | A | Lakeland Flying Tigers | — | 29 | 20 | 4 | 0 | 0 | 1 | 8 | 4 | 0 | 0 | 1 | 200 | 429 | 350 | 779 | 150 | 188 | 14 | 28 | 358 | 74 | — | — | — | — | — | — |
| 2024 | 24 | AA | Erie SeaWolves | — | 515 | 420 | 113 | 17 | 6 | 5 | 70 | 89 | 18 | 32 | 5 | 269 | 396 | 374 | 769 | 105 | 329 | 17 | 14 | 351 | 97 | — | — | — | — | — | — |
| 2024 | 24 | A+ | West Michigan Whitecaps | — | 27 | 23 | 4 | 0 | 0 | 0 | 2 | 7 | 2 | 1 | 0 | 174 | 296 | 174 | 470 | 250 | 26 | 7 | 240 | 9 | — | — | — | — | — | — | |
| 2024 | 24 | INTL | Caribes de Anzoategui | — | 113 | 99 | 25 | 6 | 1 | 1 | 10 | 16 | 2 | 3 | 1 | 253 | 333 | 364 | 697 | 111 | 293 | 14 | 9 | 312 | 97 | — | — | — | — | — | — |
| 2025 | 25 | AAA | Toledo Mud Hens | — | 57 | 52 | 17 | 4 | 1 | 2 | 2 | 9 | 1 | 7 | 2 | 327 | 364 | 558 | 921 | 231 | 349 | 16 | 4 | 388 | 134 | — | — | — | — | — | — |
| 2025 | 25 | AA | Erie SeaWolves | — | 350 | 283 | 79 | 12 | 1 | 5 | 51 | 36 | 9 | 5 | 4 | 279 | 405 | 382 | 787 | 102 | 301 | 10 | 15 | 357 | 99 | — | — | — | — | — | — |
| 2025 | 25 | INTL | Caribes de Anzoategui | — | 179 | 153 | 45 | 10 | 2 | 2 | 21 | 18 | 3 | 1 | 2 | 294 | 390 | 425 | 815 | 131 | 321 | 10 | 12 | 364 | 132 | — | — | — | — | — | — |
| 2026 | 26 | AAA | Buffalo Bisons | — | 410 | 329 | 79 | 15 | 0 | 7 | 68 | 69 | 7 | 7 | 7 | 240 | 381 | 350 | 731 | 109 | 280 | 17 | 17 | 337 | 80 | — | — | — | — | — | — |
| 2026 | 26 | INTL | Caribes de Anzoategui | — | 48 | 38 | 14 | 2 | 0 | 2 | 6 | 3 | 2 | 0 | 0 | 368 | 478 | 579 | 1.057 | 211 | 343 | 6 | 12 | 447 | 188 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 19 | ROK MLE | DSL Tigers 1 | — | 300 | 255 | 48 | 4 | 4 | 0 | 31 | 34 | 10 | 25 | 14 | 188 | 301 | 235 | 536 | 47 | 208 | 11 | 10 | 243 | 51 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | Lakeland Flying Tigers | — | 90 | 77 | 20 | 4 | 1 | 0 | 10 | 18 | 3 | 3 | 0 | 260 | 367 | 338 | 704 | 78 | 331 | 20 | 11 | 308 | 95 | — | — | — | — | — | — |
| 2021 | 21 | ROK MLE | FCL Tigers East | — | 95 | 75 | 25 | 2 | 1 | 1 | 15 | 13 | 4 | 12 | 0 | 333 | 468 | 427 | 895 | 93 | 364 | 14 | 16 | 382 | 145 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | West Michigan Whitecaps | — | 213 | 173 | 39 | 4 | 2 | 0 | 26 | 40 | 7 | 4 | 5 | 225 | 350 | 272 | 621 | 46 | 270 | 19 | 12 | 280 | 76 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Lakeland Flying Tigers | — | 189 | 159 | 39 | 7 | 1 | 1 | 28 | 39 | 2 | 8 | 3 | 245 | 365 | 321 | 686 | 75 | 320 | 21 | 15 | 317 | 101 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | West Michigan Whitecaps | — | 244 | 203 | 49 | 6 | 1 | 0 | 28 | 49 | 5 | 8 | 5 | 241 | 347 | 281 | 628 | 39 | 301 | 20 | 11 | 284 | 78 | — | — | — | — | — | — |
| 2023 | 23 | A MLE | Lakeland Flying Tigers | — | 29 | 23 | 4 | 0 | 0 | 1 | 5 | 6 | 0 | 0 | 1 | 174 | 321 | 304 | 626 | 130 | 174 | 21 | 17 | 278 | 74 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | Erie SeaWolves | — | 515 | 446 | 117 | 15 | 7 | 4 | 44 | 108 | 18 | 32 | 5 | 262 | 352 | 354 | 707 | 92 | 327 | 21 | 9 | 312 | 97 | — | — | — | — | — | — |
| 2024 | 24 | A+ MLE | West Michigan Whitecaps | — | 27 | 24 | 3 | 0 | 0 | 0 | 1 | 9 | 2 | 1 | 0 | 125 | 222 | 125 | 347 | 220 | 33 | 4 | 182 | 9 | — | — | — | — | — | — | |
| 2025 | 25 | AAA MLE | Toledo Mud Hens | — | 57 | 53 | 17 | 4 | 1 | 2 | 1 | 10 | 1 | 7 | 2 | 321 | 345 | 547 | 893 | 226 | 327 | 18 | 2 | 366 | 134 | — | — | — | — | — | — |
| 2025 | 25 | AA MLE | Erie SeaWolves | — | 350 | 299 | 80 | 10 | 1 | 4 | 35 | 42 | 9 | 5 | 4 | 268 | 362 | 348 | 709 | 80 | 287 | 12 | 10 | 315 | 99 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | Buffalo Bisons | — | 410 | 350 | 78 | 14 | 0 | 5 | 47 | 83 | 7 | 7 | 7 | 223 | 327 | 306 | 632 | 83 | 266 | 20 | 11 | 287 | 80 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | DSL Tigers 1 | — | 300 | 255 | 48 | 4 | 4 | 0 | 31 | 34 | 10 | 25 | 14 | 188 | 301 | 235 | 536 | 47 | 216 | 11 | 10 | 243 | 51 | — | — | — | — | — | — |
| 2019 | 19 | ROK RAW | DSL Tigers 1 | — | 300 | 240 | 71 | 6 | 7 | 0 | 46 | 28 | 10 | 25 | 14 | 296 | 429 | 379 | 808 | 83 | 333 | 9 | 15 | 370 | 51 | — | — | — | — | — | — |
| 2021 | 21 | ROK MLE | 3 teams | — | 212 | 176 | 51 | 6 | 2 | 1 | 28 | 36 | 7 | 16 | 1 | 290 | 408 | 364 | 771 | 74 | 357 | 17 | 13 | 346 | 120 | — | — | — | — | — | — |
| 2021 | 21 | ROK RAW | 3 teams | — | 212 | 161 | 52 | 8 | 2 | 1 | 43 | 29 | 7 | 16 | 1 | 323 | 483 | 416 | 900 | 93 | 386 | 14 | 20 | 414 | 120 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 3 teams | — | 427 | 354 | 83 | 12 | 3 | 1 | 57 | 83 | 9 | 12 | 8 | 234 | 355 | 294 | 649 | 59 | 300 | 19 | 13 | 297 | 87 | — | — | — | — | — | — |
| 2022 | 22 | A+ RAW | 3 teams | — | 427 | 332 | 88 | 13 | 3 | 2 | 79 | 61 | 9 | 12 | 8 | 265 | 419 | 340 | 759 | 75 | 316 | 14 | 19 | 353 | 87 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | 2 teams | — | 273 | 226 | 54 | 6 | 1 | 1 | 33 | 55 | 5 | 8 | 6 | 239 | 348 | 288 | 636 | 49 | 306 | 20 | 12 | 283 | 78 | — | — | — | — | — | — |
| 2023 | 23 | A+ RAW | 2 teams | — | 273 | 211 | 53 | 7 | 1 | 1 | 48 | 43 | 5 | 8 | 6 | 251 | 402 | 308 | 710 | 57 | 306 | 16 | 18 | 328 | 78 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | 3 teams | — | 655 | 569 | 146 | 19 | 8 | 5 | 55 | 141 | 22 | 36 | 6 | 257 | 345 | 344 | 690 | 88 | 332 | 22 | 8 | 306 | 93 | — | — | — | — | — | — |
| 2024 | 24 | AA RAW | 3 teams | — | 655 | 542 | 142 | 23 | 7 | 6 | 82 | 112 | 22 | 36 | 6 | 262 | 381 | 363 | 744 | 101 | 319 | 17 | 13 | 340 | 93 | — | — | — | — | — | — |
| 2025 | 25 | AA MLE | 3 teams | — | 586 | 509 | 138 | 20 | 3 | 8 | 53 | 76 | 13 | 13 | 8 | 271 | 355 | 369 | 724 | 98 | 301 | 13 | 9 | 322 | 104 | — | — | — | — | — | — |
| 2025 | 25 | AA RAW | 3 teams | — | 586 | 488 | 141 | 26 | 4 | 9 | 74 | 63 | 13 | 13 | 8 | 289 | 397 | 414 | 810 | 125 | 312 | 11 | 13 | 362 | 104 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 458 | 388 | 87 | 15 | 0 | 6 | 53 | 93 | 9 | 7 | 7 | 224 | 331 | 309 | 640 | 85 | 275 | 20 | 12 | 287 | 80 | — | — | — | — | — | — |
| 2026 | 26 | AAA RAW | 2 teams | — | 458 | 367 | 93 | 17 | 0 | 9 | 74 | 72 | 9 | 7 | 7 | 253 | 391 | 373 | 764 | 120 | 288 | 16 | 16 | 348 | 80 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | DSL Tigers 1 | — | 300 | 256 | 48 | 4 | 4 | 0 | 31 | 34 | 10 | 25 | 14 | 188 | 301 | 234 | 535 | 47 | 208 | 11 | 10 | 243 | 51 | — | — | — | — | — | — |
| 2021 | 21 | ROK MLE | 3 teams | — | 212 | 175 | 51 | 6 | 2 | 1 | 28 | 36 | 7 | 16 | 1 | 291 | 408 | 366 | 773 | 74 | 348 | 17 | 13 | 346 | 120 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 3 teams | — | 427 | 358 | 83 | 12 | 3 | 1 | 57 | 83 | 9 | 12 | 8 | 232 | 355 | 291 | 645 | 59 | 294 | 19 | 13 | 297 | 87 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | 2 teams | — | 273 | 233 | 54 | 6 | 1 | 1 | 33 | 55 | 5 | 8 | 6 | 232 | 348 | 279 | 627 | 47 | 288 | 20 | 12 | 283 | 78 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | 3 teams | — | 655 | 573 | 146 | 19 | 8 | 5 | 55 | 141 | 22 | 36 | 6 | 255 | 345 | 342 | 687 | 87 | 322 | 22 | 8 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 25 | AA MLE | 3 teams | — | 586 | 515 | 138 | 20 | 3 | 8 | 53 | 76 | 13 | 13 | 8 | 268 | 355 | 365 | 720 | 97 | 293 | 13 | 9 | 322 | 104 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 458 | 393 | 87 | 15 | 0 | 6 | 53 | 93 | 9 | 7 | 7 | 221 | 331 | 305 | 636 | 84 | 266 | 20 | 12 | 287 | 80 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | AA MLE | 3 teams | — | 655 | 573 | 146 | 19 | 8 | 5 | 55 | 141 | 22 | 36 | 6 | 255 | 345 | 342 | 687 | 87 | 322 | 22 | 8 | 306 | 93 | — | — | — | — | — | — |
| 2025 | 25 | AA MLE | 3 teams | — | 586 | 515 | 138 | 20 | 3 | 8 | 53 | 76 | 13 | 13 | 8 | 268 | 355 | 365 | 720 | 97 | 293 | 13 | 9 | 322 | 104 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 458 | 393 | 87 | 15 | 0 | 6 | 53 | 93 | 9 | 7 | 7 | 221 | 331 | 305 | 636 | 84 | 266 | 20 | 12 | 287 | 80 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB MLE | TOR | 10% | 380 | 331 | 78 | 13 | 2 | 5 | 38 | 77 | 8 | 9 | 4 | 231 | 325 | 322 | 647 | 90 | 285 | 20 | 10 | 298 | 88 | -6 | +0 | +0 | +1 | +8 | 0.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB CTX | TOR | 10% | 16 | 14 | 3 | 1 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 232 | 326 | 323 | 649 | 91 | 286 | 19 | 12 | 298 | 88 | -0 | +0 | +0 | +0 | +0 | 0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 28 | MLB MLE | TOR | 38% | 222 | 194 | 45 | 7 | 1 | 3 | 22 | 46 | 4 | 4 | 2 | 230 | 323 | 321 | 644 | 91 | 284 | 21 | 10 | 296 | 87 | -4 | +0 | -1 | +1 | +5 | 0.1 |
| 2028 | 28 | MLB CTX | TOR | 38% | 83 | 73 | 17 | 3 | 0 | 1 | 8 | 17 | 2 | 2 | 1 | 231 | 324 | 323 | 646 | 91 | 286 | 20 | 10 | 297 | 87 | -1 | +0 | -0 | +0 | +2 | 0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 83 | 73 | 17 | 3 | 0 | 1 | 8 | 17 | 2 | 2 | 1 | 233 | 325 | 315 | 640 | 82 | 291 | 20 | 10 | 297 | 88 | -1 | +0 | -0 | +0 | +2 | 0.1 | |
| / 162G | — | A+C | — | 650 | 572 | 133 | 23 | 0 | 8 | 63 | 133 | 16 | 16 | 8 | 233 | 326 | 315 | 641 | 82 | 290 | 20 | 10 | 297 | 88 | -10 | +0 | -2 | +2 | +14 | 0.4 | |
| Career | — | MLE | — | 3288 | 2806 | 684 | 94 | 23 | 27 | 348 | 595 | 82 | 125 | 54 | 244 | 344 | 323 | 667 | 79 | 297 | 18 | 11 | 299 | 88 | -6 | +0 | -1 | +1 | +8 | 0.3 | |
| / 162G | — | MLE | — | 650 | 555 | 136 | 19 | 5 | 5 | 69 | 118 | 16 | 25 | 11 | 245 | 345 | 324 | 670 | 79 | 300 | 18 | 11 | 299 | 88 | -10 | +0 | -1 | +2 | +14 | 0.5 | |
How the minor-league lines were translated
One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.
2026 AAABuffalo Bisons · 410 PAwOBA .332 → .287 (−45)K% 16.8% → 20.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.83% | ÷1.000 | ×1.200 | — | — | 20.20% |
| BB% (unintentional) /PA | 16.59% | ÷1.000 | ×0.690 | — | ×1.003 | 11.48% |
| HBP% /PA | 1.71% | — | ×0.940 | — | ×1.003 | 1.61% |
| Singles /BIP | 21.92% | ÷1.000 | ×0.930 | ×1.050 | ×1.003 | 21.47% |
| Doubles /BIP | 5.77% | ÷1.000 | ×0.830 | ×1.050 | ×1.003 | 5.04% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | ×1.050 | ×1.003 | 0.00% |
| Home runs /BIP | 2.69% | ÷1.000 | ×0.700 | — | ×1.003 | 1.89% |
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 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 ×1.050.
Result: wOBA .332 → .287; ISO .109 → .089; BABIP .280 → .266. 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 AAErie SeaWolves · 350 PAwOBA .352 → .315 (−38)K% 10.3% → 12.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.29% | ÷1.035 | ×1.220 | — | — | 12.12% |
| BB% (unintentional) /PA | 14.57% | ÷0.996 | ×0.700 | — | ×0.988 | 10.12% |
| HBP% /PA | 2.57% | — | ×0.850 | — | ×0.988 | 2.16% |
| Singles /BIP | 24.70% | ÷0.981 | ×0.970 | ×1.013 | ×0.988 | 24.44% |
| Doubles /BIP | 4.86% | ÷1.075 | ×0.860 | ×1.013 | ×0.988 | 3.89% |
| Triples /BIP | 0.40% | ÷1.115 | ×0.950 | ×1.013 | ×0.988 | 0.35% |
| Home runs /BIP | 2.02% | ÷1.056 | ×0.780 | — | ×0.988 | 1.48% |
Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 96, 2B 115, 3B 123, K 107, BB 99 — 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 ×1.013.
Result: wOBA .352 → .315; ISO .102 → .084; BABIP .301 → .287. 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 AAAToledo Mud Hens · 57 PAwOBA .390 → .366 (−25)K% 15.8% → 17.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.79% | ÷1.073 | ×1.200 | — | — | 17.66% |
| BB% (unintentional) /PA | 3.51% | ÷0.988 | ×0.690 | — | ×1.018 | 2.49% |
| HBP% /PA | 1.75% | — | ×0.940 | — | ×1.018 | 1.68% |
| Singles /BIP | 23.26% | ÷0.993 | ×0.930 | — | ×1.018 | 22.17% |
| Doubles /BIP | 9.30% | ÷0.953 | ×0.830 | — | ×1.018 | 8.25% |
| Triples /BIP | 2.33% | ÷0.905 | ×0.970 | — | ×1.018 | 2.54% |
| Home runs /BIP | 4.65% | ÷0.872 | ×0.700 | — | ×1.018 | 3.80% |
Factors used: league row International League. Park (home-season share, regressed): HR 74, 1B 99, 2B 91, 3B 81, K 115, BB 98 — 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).
Result: wOBA .390 → .366; ISO .231 → .212; BABIP .349 → .327. 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 AAErie SeaWolves · 515 PAwOBA .344 → .312 (−32)K% 17.3% → 20.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.28% | ÷1.009 | ×1.220 | — | — | 20.89% |
| BB% (unintentional) /PA | 13.40% | ÷1.086 | ×0.700 | — | ×0.998 | 8.62% |
| HBP% /PA | 3.50% | — | ×0.850 | — | ×0.998 | 2.96% |
| Singles /BIP | 25.68% | ÷0.992 | ×0.970 | ×1.042 | ×0.998 | 26.10% |
| Doubles /BIP | 5.14% | ÷1.036 | ×0.860 | ×1.042 | ×0.998 | 4.43% |
| Triples /BIP | 1.81% | ÷0.945 | ×0.950 | ×1.042 | ×0.998 | 1.90% |
| Home runs /BIP | 1.51% | ÷0.941 | ×0.780 | — | ×0.998 | 1.25% |
Factors used: league row EL. Park (home-season share, regressed): HR 88, 1B 98, 2B 107, 3B 89, K 102, BB 117 — 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 ×1.042.
Result: wOBA .344 → .312; ISO .105 → .099; BABIP .329 → .327. 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 A+West Michigan Whitecaps · 27 PAwOBA .235 → .182 (−53)K% 25.9% → 34.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.93% | ÷0.957 | ×1.270 | — | — | 34.42% |
| BB% (unintentional) /PA | 7.41% | ÷1.026 | ×0.710 | — | ×0.978 | 5.01% |
| HBP% /PA | 7.41% | — | ×0.790 | — | ×0.978 | 5.72% |
| Singles /BIP | 25.00% | ÷1.021 | ×0.920 | — | ×0.978 | 22.04% |
| Doubles /BIP | 0.00% | ÷0.892 | ×0.810 | — | ×0.978 | 0.00% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.850 | — | ×0.978 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.889 | ×0.800 | — | ×0.978 | 0.00% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 78, 1B 104, 2B 78, 3B 80, K 91, BB 105 — 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 .235 → .182; ISO .000 → .000; BABIP .250 → .220. 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 A+West Michigan Whitecaps · 244 PAwOBA .321 → .284 (−36)K% 16.0% → 20.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.98% | ÷1.007 | ×1.270 | — | — | 20.16% |
| BB% (unintentional) /PA | 16.39% | ÷0.993 | ×0.710 | — | ×0.988 | 11.59% |
| HBP% /PA | 2.05% | — | ×0.790 | — | ×0.988 | 1.60% |
| Singles /BIP | 26.97% | ÷0.989 | ×0.920 | ×1.050 | ×0.988 | 26.03% |
| Doubles /BIP | 4.61% | ÷0.985 | ×0.810 | ×1.050 | ×0.988 | 3.93% |
| Triples /BIP | 0.66% | ÷1.150 | ×0.850 | ×1.050 | ×0.988 | 0.50% |
| Home runs /BIP | 0.00% | ÷0.882 | ×0.800 | — | ×0.988 | 0.00% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 76, 1B 98, 2B 97, 3B 130, K 101, BB 99 — 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 ×1.050.
Result: wOBA .321 → .284; ISO .047 → .042; BABIP .318 → .301. 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 ALakeland Flying Tigers · 29 PAwOBA .363 → .278 (−85)K% 13.8% → 19.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.79% | ÷0.975 | ×1.360 | — | — | 19.23% |
| BB% (unintentional) /PA | 27.59% | ÷1.089 | ×0.690 | — | ×0.980 | 17.14% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.980 | 0.00% |
| Singles /BIP | 18.75% | ÷0.957 | ×0.920 | — | ×0.980 | 17.67% |
| Doubles /BIP | 0.00% | ÷1.056 | ×0.830 | — | ×0.980 | 0.00% |
| Triples /BIP | 0.00% | ÷1.020 | ×0.910 | — | ×0.980 | 0.00% |
| Home runs /BIP | 6.25% | ÷1.216 | ×0.800 | — | ×0.980 | 4.03% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 91, 2B 111, 3B 104, K 95, BB 118 — 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).
Result: wOBA .363 → .278; ISO .150 → .112; BABIP .188 → .174. 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+West Michigan Whitecaps · 213 PAwOBA .327 → .280 (−47)K% 14.1% → 18.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.08% | ÷0.956 | ×1.270 | — | — | 18.70% |
| BB% (unintentional) /PA | 17.37% | ÷1.024 | ×0.710 | — | ×0.998 | 12.01% |
| HBP% /PA | 3.29% | — | ×0.790 | — | ×0.998 | 2.59% |
| Singles /BIP | 25.76% | ÷1.031 | ×0.920 | ×1.028 | ×0.998 | 23.57% |
| Doubles /BIP | 3.03% | ÷0.876 | ×0.810 | ×1.028 | ×0.998 | 2.87% |
| Triples /BIP | 1.52% | ÷1.150 | ×0.850 | ×1.028 | ×0.998 | 1.15% |
| Home runs /BIP | 0.00% | ÷0.847 | ×0.800 | — | ×0.998 | 0.00% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 69, 1B 106, 2B 75, 3B 130, K 91, BB 105 — 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 ×1.028.
Result: wOBA .327 → .280; ISO .049 → .045; BABIP .296 → .270. 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 — .