Eliezer Alfonzo
C Oklahoma City Comets| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 24 | AA/INTL2 orgs | 580 | .274/.339/.415 | 16 | 3 | 97 | — | .241/.276/.337 |
| 2025 | 25 | AAA/AA/INTL2 orgs | 484 | .271/.335/.366 | 6 | 1 | 86 | — | .225/.259/.284 |
| 2026 | 26 | AAALAD | 256 | .302/.379/.409 | 2 | 1 | 91 | — | .274/.328/.355 |
| 2026 | 26 | MLBLAD | 28 | .179/.179/.250 | 0 | 0 | 18 | 0.3 | |
| 2027PROJ30% MLB | 27 | MLBLAD | 46 | .245/.288/.327 | 0 | 0 | 77 | 0.1 | |
| 2028PROJ48% MLB | 28 | MLBLAD | 121 | .243/.288/.327 | 1 | 0 | 76 | 0.1 | |
| 2029PROJ55% MLB | 29 | MLBLAD | 140 | .240/.286/.324 | 1 | 0 | 75 | 0.1 |
Tools · ContractCON 50 / POW 30
Career Stats + Projections
Methodology▸ how these numbers are built
All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK | DSL Tigers | — | 182 | 151 | 46 | 4 | 1 | 0 | 26 | 18 | 3 | 5 | 1 | 305 | 414 | 344 | 759 | 40 | 343 | 10 | 14 | 353 | 57 | — | — | — | — | — | — |
| 2018 | 18 | ROK | GCL Tigers West | — | 216 | 179 | 58 | 11 | 1 | 1 | 29 | 17 | 3 | 6 | 2 | 324 | 427 | 413 | 840 | 89 | 343 | 8 | 13 | 375 | 89 | — | — | — | — | — | — |
| 2021 | 21 | A+ | West Michigan Whitecaps | — | 232 | 213 | 58 | 11 | 0 | 1 | 16 | 24 | 0 | 1 | 2 | 272 | 323 | 338 | 661 | 66 | 298 | 10 | 7 | 297 | 55 | — | — | — | — | — | — |
| 2021 | 21 | A | Lakeland Flying Tigers | — | 171 | 156 | 48 | 7 | 1 | 7 | 12 | 11 | 2 | 2 | 0 | 308 | 365 | 500 | 865 | 192 | 295 | 6 | 7 | 379 | 101 | — | — | — | — | — | — |
| 2022 | 22 | A+ | West Michigan Whitecaps | — | 58 | 48 | 17 | 1 | 0 | 2 | 6 | 6 | 1 | 0 | 0 | 354 | 436 | 500 | 936 | 146 | 357 | 10 | 10 | 397 | 134 | — | — | — | — | — | — |
| 2022 | 22 | A | Lakeland Flying Tigers | — | 28 | 27 | 5 | 1 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 185 | 214 | 222 | 437 | 37 | 238 | 21 | 4 | 200 | -10 | — | — | — | — | — | — |
| 2023 | 23 | A+ | West Michigan Whitecaps | — | 395 | 356 | 94 | 14 | 0 | 8 | 28 | 28 | 5 | 0 | 0 | 264 | 326 | 371 | 696 | 107 | 266 | 7 | 7 | 311 | 66 | — | — | — | — | — | — |
| 2023 | 23 | INTL | Leones del Caracas | — | 73 | 61 | 23 | 4 | 1 | 1 | 10 | 4 | 1 | 0 | 0 | 377 | 472 | 525 | 997 | 148 | 393 | 5 | 14 | 437 | 182 | — | — | — | — | — | — |
| 2024 | 24 | AA | Erie SeaWolves | — | 396 | 364 | 93 | 14 | 0 | 9 | 23 | 31 | 4 | 2 | 2 | 255 | 306 | 368 | 674 | 113 | 256 | 8 | 6 | 301 | 67 | — | — | — | — | — | — |
| 2024 | 24 | INTL | Navegantes del Magallanes | — | 184 | 157 | 50 | 11 | 0 | 7 | 21 | 9 | 3 | 1 | 0 | 318 | 409 | 522 | 931 | 204 | 299 | 5 | 11 | 405 | 160 | — | — | — | — | — | — |
| 2025 | 25 | AAA | Toledo Mud Hens | — | 33 | 32 | 7 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 219 | 212 | 250 | 462 | 31 | 250 | 12 | 0 | 203 | 14 | — | — | — | — | — | — |
| 2025 | 25 | AA | Erie SeaWolves | — | 217 | 195 | 49 | 13 | 0 | 1 | 16 | 28 | 1 | 0 | 0 | 251 | 308 | 333 | 642 | 82 | 286 | 13 | 7 | 287 | 54 | — | — | — | — | — | — |
| 2025 | 25 | INTL | Navegantes del Magallanes | — | 234 | 205 | 61 | 9 | 0 | 5 | 21 | 19 | 5 | 1 | 0 | 298 | 377 | 415 | 791 | 117 | 304 | 8 | 9 | 354 | 126 | — | — | — | — | — | — |
| 2026 | 26 | MLB | Los Angeles Dodgers | — | 28 | 28 | 5 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 179 | 179 | 250 | 429 | 71 | 200 | 11 | 0 | 189 | 18 | -3 | +0 | +0 | +5 | +1 | 0.3 |
| 2026 | 26 | AAA | Oklahoma City Comets | — | 256 | 225 | 68 | 18 | 0 | 2 | 28 | 21 | 0 | 1 | 1 | 302 | 379 | 409 | 788 | 107 | 325 | 8 | 11 | 353 | 91 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 28 | 28 | 5 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 179 | 179 | 250 | 429 | 71 | 200 | 11 | 0 | 189 | 14 | -3 | +0 | +0 | +5 | +1 | 0.3 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK MLE | DSL Tigers | — | 182 | 160 | 35 | 3 | 1 | 0 | 18 | 22 | 3 | 5 | 1 | 219 | 309 | 250 | 559 | 31 | 244 | 12 | 10 | 253 | 57 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | GCL Tigers West | — | 216 | 190 | 51 | 9 | 1 | 1 | 18 | 24 | 3 | 6 | 2 | 268 | 341 | 342 | 683 | 74 | 284 | 11 | 8 | 300 | 89 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | West Michigan Whitecaps | — | 232 | 217 | 50 | 9 | 0 | 1 | 12 | 34 | 0 | 1 | 2 | 230 | 271 | 286 | 556 | 55 | 264 | 15 | 5 | 250 | 55 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | Lakeland Flying Tigers | — | 171 | 160 | 43 | 6 | 1 | 6 | 8 | 15 | 2 | 2 | 0 | 269 | 312 | 431 | 743 | 163 | 261 | 9 | 5 | 318 | 101 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | West Michigan Whitecaps | — | 58 | 50 | 16 | 1 | 0 | 2 | 4 | 8 | 1 | 0 | 0 | 320 | 382 | 460 | 842 | 140 | 319 | 14 | 7 | 366 | 134 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Lakeland Flying Tigers | — | 28 | 27 | 4 | 1 | 0 | 0 | 1 | 8 | 0 | 0 | 0 | 148 | 179 | 185 | 364 | 37 | 212 | 29 | 4 | 154 | -10 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | West Michigan Whitecaps | — | 395 | 365 | 85 | 11 | 0 | 7 | 20 | 35 | 5 | 0 | 0 | 233 | 282 | 321 | 603 | 88 | 236 | 9 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | Erie SeaWolves | — | 396 | 374 | 90 | 12 | 0 | 8 | 14 | 38 | 4 | 2 | 2 | 241 | 276 | 337 | 612 | 96 | 244 | 10 | 4 | 267 | 67 | — | — | — | — | — | — |
| 2025 | 25 | AAA MLE | Toledo Mud Hens | — | 33 | 33 | 7 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 212 | 212 | 242 | 455 | 30 | 236 | 12 | 0 | 189 | 14 | — | — | — | — | — | — |
| 2025 | 25 | AA MLE | Erie SeaWolves | — | 217 | 203 | 46 | 10 | 0 | 1 | 10 | 33 | 1 | 0 | 0 | 227 | 266 | 291 | 557 | 64 | 260 | 15 | 5 | 248 | 54 | — | — | — | — | — | — |
| 2026 | 26 | MLB MLE | Los Angeles Dodgers | — | 28 | 28 | 5 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 179 | 179 | 250 | 429 | 71 | 200 | 11 | 0 | 195 | 18 | -3 | +0 | +0 | +5 | +1 | 0.3 |
| 2026 | 26 | AAA MLE | Oklahoma City Comets | — | 256 | 234 | 64 | 16 | 0 | 1 | 19 | 25 | 0 | 1 | 1 | 274 | 328 | 355 | 683 | 81 | 297 | 10 | 7 | 302 | 91 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Tigers | — | 182 | 160 | 35 | 3 | 1 | 0 | 18 | 22 | 3 | 5 | 1 | 219 | 309 | 250 | 559 | 31 | 252 | 12 | 10 | 253 | 57 | — | — | — | — | — | — |
| 2017 | 17 | ROK RAW | DSL Tigers | — | 182 | 151 | 46 | 4 | 1 | 0 | 26 | 18 | 3 | 5 | 1 | 305 | 414 | 344 | 759 | 40 | 343 | 10 | 14 | 353 | 57 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | GCL Tigers West | — | 216 | 190 | 51 | 9 | 1 | 1 | 18 | 24 | 3 | 6 | 2 | 268 | 341 | 342 | 683 | 74 | 294 | 11 | 8 | 300 | 89 | — | — | — | — | — | — |
| 2018 | 18 | ROK RAW | GCL Tigers West | — | 216 | 179 | 58 | 11 | 1 | 1 | 29 | 17 | 3 | 6 | 2 | 324 | 427 | 413 | 840 | 89 | 343 | 8 | 13 | 375 | 89 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | 2 teams | — | 403 | 377 | 94 | 15 | 1 | 7 | 20 | 49 | 2 | 3 | 2 | 249 | 291 | 350 | 641 | 101 | 268 | 12 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2021 | 21 | A+ RAW | 2 teams | — | 403 | 369 | 106 | 18 | 1 | 8 | 28 | 35 | 2 | 3 | 2 | 287 | 341 | 407 | 747 | 119 | 297 | 9 | 7 | 332 | 75 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 2 teams | — | 86 | 77 | 21 | 2 | 0 | 2 | 5 | 16 | 1 | 0 | 0 | 273 | 325 | 377 | 702 | 104 | 311 | 19 | 6 | 297 | 87 | — | — | — | — | — | — |
| 2022 | 22 | A+ RAW | 2 teams | — | 86 | 75 | 22 | 2 | 0 | 2 | 7 | 12 | 1 | 0 | 0 | 293 | 361 | 400 | 761 | 107 | 317 | 14 | 8 | 333 | 87 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | 2 teams | — | 468 | 433 | 102 | 14 | 0 | 9 | 23 | 42 | 6 | 0 | 0 | 236 | 284 | 330 | 614 | 95 | 242 | 9 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2023 | 23 | A+ RAW | 2 teams | — | 468 | 417 | 117 | 18 | 1 | 9 | 38 | 32 | 6 | 0 | 0 | 281 | 348 | 393 | 742 | 113 | 285 | 7 | 8 | 331 | 66 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | 2 teams | — | 580 | 545 | 132 | 18 | 0 | 11 | 21 | 55 | 7 | 3 | 2 | 242 | 279 | 336 | 615 | 94 | 249 | 9 | 4 | 267 | 67 | — | — | — | — | — | — |
| 2024 | 24 | AA RAW | 2 teams | — | 580 | 521 | 143 | 25 | 0 | 16 | 44 | 40 | 7 | 3 | 2 | 274 | 339 | 415 | 753 | 140 | 269 | 7 | 8 | 334 | 67 | — | — | — | — | — | — |
| 2025 | 25 | INTL MLE | 3 teams | — | 484 | 452 | 102 | 22 | 0 | 1 | 20 | 73 | 6 | 1 | 0 | 226 | 268 | 281 | 549 | 55 | 264 | 15 | 4 | 240 | 49 | — | — | — | — | — | — |
| 2025 | 25 | INTL RAW | 3 teams | — | 484 | 432 | 117 | 23 | 0 | 6 | 37 | 51 | 6 | 1 | 0 | 271 | 335 | 366 | 700 | 95 | 292 | 11 | 8 | 314 | 49 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 284 | 262 | 69 | 18 | 0 | 1 | 19 | 28 | 0 | 1 | 1 | 263 | 313 | 344 | 657 | 80 | 291 | 10 | 7 | 291 | 83 | — | — | — | — | — | — |
| 2026 | 26 | AAA RAW | 2 teams | — | 284 | 253 | 73 | 20 | 0 | 2 | 28 | 24 | 0 | 1 | 1 | 289 | 359 | 391 | 751 | 103 | 311 | 8 | 10 | 336 | 83 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Tigers | — | 182 | 159 | 35 | 3 | 1 | 0 | 18 | 22 | 3 | 5 | 1 | 220 | 309 | 252 | 561 | 31 | 244 | 12 | 10 | 253 | 57 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | GCL Tigers West | — | 216 | 193 | 51 | 9 | 1 | 1 | 18 | 24 | 3 | 6 | 2 | 264 | 341 | 337 | 678 | 73 | 284 | 11 | 8 | 300 | 89 | — | — | — | — | — | — |
| 2021 | 21 | A+ MLE | 2 teams | — | 403 | 378 | 94 | 15 | 1 | 7 | 20 | 49 | 2 | 3 | 2 | 249 | 291 | 349 | 640 | 101 | 263 | 12 | 5 | 279 | 75 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 2 teams | — | 86 | 80 | 21 | 2 | 0 | 2 | 5 | 16 | 1 | 0 | 0 | 263 | 325 | 362 | 688 | 100 | 284 | 19 | 6 | 297 | 87 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | 2 teams | — | 468 | 436 | 102 | 14 | 0 | 9 | 23 | 42 | 6 | 0 | 0 | 234 | 284 | 328 | 612 | 94 | 236 | 9 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | 2 teams | — | 580 | 547 | 132 | 18 | 0 | 11 | 21 | 55 | 7 | 3 | 2 | 241 | 279 | 335 | 614 | 93 | 244 | 9 | 4 | 267 | 67 | — | — | — | — | — | — |
| 2025 | 25 | INTL MLE | 3 teams | — | 484 | 455 | 102 | 22 | 0 | 1 | 20 | 73 | 6 | 1 | 0 | 224 | 268 | 279 | 547 | 55 | 257 | 15 | 4 | 240 | 49 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 284 | 263 | 69 | 18 | 0 | 1 | 19 | 28 | 0 | 1 | 1 | 262 | 313 | 342 | 655 | 80 | 287 | 10 | 7 | 291 | 83 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | AA MLE | 2 teams | — | 580 | 547 | 132 | 18 | 0 | 11 | 21 | 55 | 7 | 3 | 2 | 241 | 279 | 335 | 614 | 93 | 244 | 9 | 4 | 267 | 67 | — | — | — | — | — | — |
| 2025 | 25 | INTL MLE | 3 teams | — | 484 | 455 | 102 | 22 | 0 | 1 | 20 | 73 | 6 | 1 | 0 | 224 | 268 | 279 | 547 | 55 | 257 | 15 | 4 | 240 | 49 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 284 | 263 | 69 | 18 | 0 | 1 | 19 | 28 | 0 | 1 | 1 | 262 | 313 | 342 | 655 | 80 | 287 | 10 | 7 | 291 | 83 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB MLE | LAD | 30% | 334 | 312 | 78 | 17 | 1 | 3 | 18 | 43 | 1 | 2 | 1 | 249 | 293 | 335 | 628 | 85 | 280 | 13 | 5 | 282 | 77 | -9 | +0 | +0 | +6 | +7 | 0.3 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB CTX | LAD | 30% | 46 | 44 | 10 | 2 | 0 | 0 | 2 | 6 | 0 | 0 | 0 | 245 | 288 | 327 | 616 | 83 | 274 | 13 | 4 | 277 | 77 | -1 | +0 | +0 | +1 | +1 | 0.1 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 28 | MLB MLE | LAD | 48% | 251 | 234 | 58 | 13 | 0 | 2 | 14 | 34 | 1 | 1 | 0 | 248 | 292 | 334 | 626 | 86 | 279 | 14 | 6 | 281 | 76 | -7 | +0 | -1 | +4 | +5 | 0.2 |
| 2029 | 29 | MLB MLE | LAD | 55% | 256 | 239 | 58 | 13 | 0 | 2 | 14 | 37 | 1 | 0 | 0 | 245 | 291 | 331 | 622 | 86 | 279 | 14 | 5 | 279 | 75 | -8 | +0 | -1 | +5 | +6 | 0.1 |
| 2030 | 30 | MLB MLE | LAD | 59% | 261 | 243 | 58 | 13 | 0 | 2 | 15 | 39 | 1 | 0 | 0 | 242 | 288 | 327 | 616 | 85 | 278 | 15 | 6 | 277 | 74 | -8 | +0 | -2 | +5 | +6 | 0.0 |
| 2028 | 28 | MLB CTX | LAD | 48% | 121 | 113 | 27 | 6 | 0 | 1 | 7 | 17 | 0 | 0 | 0 | 243 | 288 | 327 | 614 | 84 | 273 | 14 | 6 | 276 | 76 | -3 | +0 | -0 | +2 | +3 | 0.1 |
| 2029 | 29 | MLB CTX | LAD | 55% | 140 | 130 | 31 | 7 | 0 | 1 | 8 | 20 | 1 | 0 | 0 | 240 | 286 | 324 | 611 | 84 | 273 | 14 | 6 | 275 | 75 | -4 | +0 | -1 | +3 | +3 | 0.1 |
| 2030 | 30 | MLB CTX | LAD | 59% | 153 | 142 | 33 | 7 | 0 | 1 | 9 | 23 | 1 | 0 | 0 | 238 | 284 | 321 | 605 | 83 | 272 | 15 | 6 | 272 | 74 | -5 | +0 | -1 | +3 | +3 | 0.0 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 442 | 413 | 96 | 22 | 0 | 3 | 24 | 63 | 2 | 0 | 0 | 232 | 278 | 308 | 585 | 75 | 266 | 14 | 5 | 269 | 70 | -15 | +0 | -2 | +12 | +10 | 0.5 | |
| / 162G | — | A+C | — | 650 | 607 | 140 | 32 | 0 | 4 | 35 | 93 | 3 | 0 | 0 | 231 | 276 | 303 | 579 | 72 | 265 | 14 | 5 | 269 | 70 | -22 | +0 | -3 | +18 | +14 | 0.7 | |
| Career | — | MLE | — | 3626 | 3357 | 816 | 148 | 3 | 39 | 195 | 439 | 32 | 21 | 8 | 243 | 291 | 324 | 615 | 81 | 267 | 12 | 5 | 272 | 70 | -30 | +0 | -4 | +22 | +21 | 0.9 | |
| / 162G | — | MLE | — | 650 | 602 | 147 | 27 | 1 | 7 | 35 | 79 | 6 | 4 | 1 | 244 | 293 | 327 | 620 | 83 | 268 | 12 | 5 | 272 | 70 | -20 | +0 | -3 | +15 | +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 AAAOklahoma City Comets · 256 PAwOBA .344 → .302 (−41)K% 8.2% → 9.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 8.20% | ÷1.000 | ×1.200 | — | — | 9.84% |
| BB% (unintentional) /PA | 10.55% | ÷1.000 | ×0.690 | — | ×1.003 | 7.30% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.003 | 0.00% |
| Singles /BIP | 23.53% | ÷1.000 | ×0.930 | ×1.010 | ×1.003 | 22.17% |
| Doubles /BIP | 8.82% | ÷1.000 | ×0.830 | ×1.010 | ×1.003 | 7.42% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.970 | ×1.010 | ×1.003 | 0.00% |
| Home runs /BIP | 0.98% | ÷1.000 | ×0.700 | — | ×1.003 | 0.69% |
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 ×1.010.
Result: wOBA .344 → .302; ISO .107 → .089; BABIP .325 → .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).
2025 AAErie SeaWolves · 217 PAwOBA .281 → .248 (−33)K% 12.9% → 15.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.90% | ÷1.035 | ×1.220 | — | — | 15.20% |
| BB% (unintentional) /PA | 6.91% | ÷0.996 | ×0.700 | — | ×0.988 | 4.80% |
| HBP% /PA | 0.46% | — | ×0.850 | — | ×0.988 | 0.39% |
| Singles /BIP | 20.96% | ÷0.981 | ×0.970 | ×0.985 | ×0.988 | 20.17% |
| Doubles /BIP | 7.78% | ÷1.075 | ×0.860 | ×0.985 | ×0.988 | 6.06% |
| Triples /BIP | 0.00% | ÷1.115 | ×0.950 | ×0.985 | ×0.988 | 0.00% |
| Home runs /BIP | 0.60% | ÷1.056 | ×0.780 | — | ×0.988 | 0.44% |
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 ×0.985.
Result: wOBA .281 → .248; ISO .082 → .065; BABIP .286 → .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).
2025 AAAToledo Mud Hens · 33 PAwOBA .198 → .189 (−8)K% 12.1% → 13.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.12% | ÷1.073 | ×1.200 | — | — | 13.56% |
| BB% (unintentional) /PA | 0.00% | ÷0.988 | ×0.690 | — | ×1.018 | 0.00% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 21.43% | ÷0.993 | ×0.930 | — | ×1.018 | 20.42% |
| Doubles /BIP | 3.57% | ÷0.953 | ×0.830 | — | ×1.018 | 3.17% |
| Triples /BIP | 0.00% | ÷0.905 | ×0.970 | — | ×1.018 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.872 | ×0.700 | — | ×1.018 | 0.00% |
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 .198 → .189; ISO .031 → .028; BABIP .250 → .236. 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 · 396 PAwOBA .294 → .267 (−28)K% 7.8% → 9.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.83% | ÷1.009 | ×1.220 | — | — | 9.46% |
| BB% (unintentional) /PA | 5.56% | ÷1.086 | ×0.700 | — | ×0.998 | 3.57% |
| HBP% /PA | 1.01% | — | ×0.850 | — | ×0.998 | 0.86% |
| Singles /BIP | 21.02% | ÷0.992 | ×0.970 | ×1.007 | ×0.998 | 20.66% |
| Doubles /BIP | 4.20% | ÷1.036 | ×0.860 | ×1.007 | ×0.998 | 3.51% |
| Triples /BIP | 0.00% | ÷0.945 | ×0.950 | ×1.007 | ×0.998 | 0.00% |
| Home runs /BIP | 2.70% | ÷0.941 | ×0.780 | — | ×0.998 | 2.24% |
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 ×1.007.
Result: wOBA .294 → .267; ISO .113 → .096; BABIP .256 → .244. 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 · 395 PAwOBA .305 → .266 (−39)K% 7.1% → 8.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.09% | ÷1.007 | ×1.270 | — | — | 8.94% |
| BB% (unintentional) /PA | 7.09% | ÷0.993 | ×0.710 | — | ×0.988 | 5.01% |
| HBP% /PA | 1.27% | — | ×0.790 | — | ×0.988 | 0.99% |
| Singles /BIP | 21.95% | ÷0.989 | ×0.920 | ×0.987 | ×0.988 | 19.91% |
| Doubles /BIP | 4.27% | ÷0.985 | ×0.810 | ×0.987 | ×0.988 | 3.42% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | ×0.987 | ×0.988 | 0.00% |
| Home runs /BIP | 2.44% | ÷0.882 | ×0.800 | — | ×0.988 | 2.19% |
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 ×0.987.
Result: wOBA .305 → .266; ISO .107 → .094; BABIP .266 → .236. 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 · 58 PAwOBA .401 → .366 (−35)K% 10.3% → 13.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.34% | ÷0.956 | ×1.270 | — | — | 13.74% |
| BB% (unintentional) /PA | 10.34% | ÷1.024 | ×0.710 | — | ×0.998 | 7.16% |
| HBP% /PA | 1.72% | — | ×0.790 | — | ×0.998 | 1.36% |
| Singles /BIP | 33.33% | ÷1.031 | ×0.920 | — | ×0.998 | 29.68% |
| Doubles /BIP | 2.38% | ÷0.876 | ×0.810 | — | ×0.998 | 2.20% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | — | ×0.998 | 0.00% |
| Home runs /BIP | 4.76% | ÷0.847 | ×0.800 | — | ×0.998 | 4.49% |
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).
Result: wOBA .401 → .366; ISO .146 → .147; BABIP .357 → .319. 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 ALakeland Flying Tigers · 28 PAwOBA .195 → .154 (−41)K% 21.4% → 29.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.43% | ÷0.982 | ×1.360 | — | — | 29.68% |
| BB% (unintentional) /PA | 3.57% | ÷0.998 | ×0.690 | — | ×0.990 | 2.44% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×0.990 | 0.00% |
| Singles /BIP | 19.05% | ÷1.009 | ×0.920 | — | ×0.990 | 17.20% |
| Doubles /BIP | 4.76% | ÷0.974 | ×0.830 | — | ×0.990 | 4.02% |
| Triples /BIP | 0.00% | ÷1.039 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.279 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 102, 2B 95, 3B 108, K 96, BB 100 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).
Result: wOBA .195 → .154; ISO .037 → .028; BABIP .238 → .212. 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+West Michigan Whitecaps · 232 PAwOBA .294 → .250 (−44)K% 10.3% → 14.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.34% | ÷0.959 | ×1.350 | — | — | 14.56% |
| BB% (unintentional) /PA | 6.90% | ÷1.000 | ×0.710 | — | ×1.012 | 4.96% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×1.012 | 0.00% |
| Singles /BIP | 24.34% | ÷1.001 | ×0.910 | ×0.966 | ×1.012 | 21.63% |
| Doubles /BIP | 5.82% | ÷0.935 | ×0.830 | ×0.966 | ×1.012 | 5.05% |
| Triples /BIP | 0.00% | ÷1.009 | ×0.820 | ×0.966 | ×1.012 | 0.00% |
| Home runs /BIP | 0.53% | ÷0.841 | ×0.830 | — | ×1.012 | 0.53% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 68, 1B 100, 2B 87, 3B 102, K 92, BB 100 — 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 ×0.966.
Result: wOBA .294 → .250; ISO .066 → .058; BABIP .298 → .264. 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 — .