Michael De La Cruz
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 31 | AA/INTL2 orgs | 323 | .196/.311/.251 | 2 | 6 | 33 | — | .174/.244/.215 |
| 2025 | 32 | INTLDominican Rep… | 82 | .200/.291/.300 | 0 | 0 | 64 | — | |
| 2026 | 33 | INTLLeones del Es… | 19 | .133/.263/.133 | 0 | 0 | 25 | — |
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) | |||||||||||||||||||||||||||||||
| 2013 | 20 | ROK | GCL Blue Jays | — | 233 | 186 | 49 | 9 | 6 | 1 | 42 | 41 | 2 | 16 | 5 | 263 | 404 | 392 | 797 | 129 | 329 | 18 | 18 | 360 | 59 | — | — | — | — | — | — |
| 2015 | 22 | A | Lansing Lugnuts | — | 239 | 211 | 51 | 15 | 0 | 0 | 23 | 41 | 1 | 5 | 3 | 242 | 319 | 313 | 632 | 71 | 298 | 17 | 10 | 287 | 32 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Dunedin Blue Jays | — | 149 | 133 | 32 | 6 | 4 | 2 | 13 | 22 | 1 | 5 | 3 | 241 | 313 | 391 | 704 | 150 | 270 | 15 | 9 | 310 | 51 | — | — | — | — | — | — |
| 2017 | 24 | AA | New Hampshire Fisher Cats | — | 26 | 22 | 11 | 3 | 0 | 1 | 4 | 3 | 0 | 0 | 0 | 500 | 577 | 773 | 1.350 | 273 | 556 | 12 | 15 | 579 | 227 | — | — | — | — | — | — |
| 2017 | 24 | A+ | Dunedin Blue Jays | — | 222 | 199 | 49 | 11 | 0 | 2 | 19 | 47 | 0 | 2 | 2 | 246 | 312 | 332 | 644 | 85 | 307 | 21 | 9 | 289 | 47 | — | — | — | — | — | — |
| 2017 | 24 | A | Lansing Lugnuts | — | 52 | 45 | 9 | 2 | 0 | 0 | 5 | 7 | 1 | 1 | 0 | 200 | 294 | 244 | 539 | 44 | 231 | 13 | 10 | 252 | 19 | — | — | — | — | — | — |
| 2018 | 25 | AAA | Buffalo Bisons | — | 50 | 43 | 8 | 5 | 1 | 0 | 6 | 17 | 0 | 0 | 0 | 186 | 286 | 349 | 635 | 163 | 308 | 34 | 12 | 281 | 38 | — | — | — | — | — | — |
| 2018 | 25 | INTL | Tigres del Licey | — | 20 | 16 | 6 | 0 | 0 | 0 | 4 | 5 | 0 | 0 | 0 | 375 | 500 | 375 | 875 | 545 | 25 | 20 | 411 | 164 | — | — | — | — | — | — | |
| 2019 | 26 | AAA | Buffalo Bisons | — | 192 | 162 | 45 | 12 | 0 | 5 | 26 | 33 | 1 | 1 | 0 | 278 | 381 | 444 | 825 | 167 | 320 | 17 | 14 | 365 | 91 | — | — | — | — | — | — |
| 2019 | 26 | INTL | Tigres del Licey | — | 81 | 60 | 9 | 3 | 0 | 0 | 20 | 11 | 0 | 0 | 0 | 150 | 362 | 200 | 562 | 50 | 184 | 14 | 25 | 287 | 80 | — | — | — | — | — | — |
| 2020 | 27 | INTL | Tigres del Licey | — | 24 | 18 | 3 | 0 | 0 | 1 | 6 | 9 | 0 | 0 | 0 | 167 | 375 | 333 | 708 | 167 | 250 | 38 | 25 | 337 | 114 | — | — | — | — | — | — |
| 2021 | 28 | AAA | Reno Aces | — | 48 | 43 | 11 | 3 | 0 | 3 | 5 | 14 | 0 | 0 | 0 | 256 | 333 | 535 | 868 | 279 | 308 | 29 | 10 | 377 | 68 | — | — | — | — | — | — |
| 2021 | 28 | AA | Amarillo Sod Poodles | — | 59 | 50 | 15 | 3 | 1 | 2 | 8 | 17 | 0 | 0 | 0 | 300 | 397 | 520 | 917 | 220 | 406 | 29 | 14 | 396 | 86 | — | — | — | — | — | — |
| 2021 | 28 | INTL | Tigres del Licey | — | 97 | 84 | 21 | 3 | 0 | 0 | 12 | 23 | 0 | 0 | 0 | 250 | 344 | 286 | 629 | 36 | 339 | 24 | 12 | 294 | 85 | — | — | — | — | — | — |
| 2022 | 29 | AA | Erie SeaWolves | — | 76 | 60 | 12 | 2 | 0 | 2 | 14 | 10 | 2 | 0 | 1 | 200 | 368 | 333 | 702 | 133 | 208 | 13 | 18 | 332 | 62 | — | — | — | — | — | — |
| 2022 | 29 | ROK | FCL Tigers | — | 24 | 21 | 7 | 2 | 1 | 1 | 3 | 4 | 0 | 1 | 0 | 333 | 417 | 667 | 1.083 | 333 | 375 | 17 | 12 | 461 | 93 | — | — | — | — | — | — |
| 2022 | 29 | INTL | Dominican Republic | — | 92 | 86 | 20 | 4 | 0 | 0 | 6 | 17 | 0 | 0 | 0 | 233 | 283 | 279 | 562 | 47 | 290 | 18 | 7 | 259 | 61 | — | — | — | — | — | — |
| 2023 | 30 | AA | San Antonio Missions | — | 408 | 355 | 91 | 17 | 1 | 7 | 43 | 67 | 0 | 7 | 2 | 256 | 335 | 369 | 704 | 113 | 291 | 16 | 11 | 313 | 61 | — | — | — | — | — | — |
| 2023 | 30 | INTL | Dominican Republic | — | 142 | 118 | 31 | 4 | 1 | 1 | 22 | 17 | 0 | 0 | 1 | 263 | 379 | 339 | 718 | 76 | 297 | 12 | 15 | 330 | 109 | — | — | — | — | — | — |
| 2024 | 31 | AA | San Antonio Missions | — | 274 | 235 | 49 | 8 | 0 | 1 | 33 | 37 | 1 | 6 | 2 | 209 | 307 | 255 | 563 | 47 | 241 | 14 | 12 | 264 | 26 | — | — | — | — | — | — |
| 2024 | 31 | INTL | Tigres del Licey | — | 49 | 36 | 4 | 1 | 0 | 1 | 12 | 13 | 0 | 0 | 0 | 111 | 333 | 222 | 556 | 111 | 136 | 27 | 24 | 276 | 73 | — | — | — | — | — | — |
| 2025 | 32 | INTL | Dominican Republic | — | 82 | 70 | 14 | 5 | 1 | 0 | 9 | 18 | 0 | 0 | 0 | 200 | 291 | 300 | 591 | 100 | 264 | 22 | 11 | 263 | 64 | — | — | — | — | — | — |
| 2026 | 33 | INTL | Leones del Escogido | — | 19 | 15 | 2 | 0 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 133 | 263 | 133 | 396 | 222 | 32 | 16 | 205 | 25 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 20 | ROK MLE | GCL Blue Jays | — | 233 | 202 | 38 | 6 | 4 | 1 | 26 | 59 | 2 | 16 | 5 | 188 | 287 | 272 | 559 | 84 | 256 | 25 | 11 | 256 | 59 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | Lansing Lugnuts | — | 239 | 218 | 41 | 10 | 0 | 0 | 16 | 58 | 1 | 5 | 3 | 188 | 247 | 234 | 481 | 46 | 248 | 24 | 7 | 216 | 32 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Dunedin Blue Jays | — | 149 | 137 | 26 | 5 | 3 | 2 | 9 | 33 | 1 | 5 | 3 | 190 | 245 | 314 | 559 | 124 | 228 | 22 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | New Hampshire Fisher Cats | — | 26 | 24 | 11 | 3 | 0 | 1 | 2 | 4 | 0 | 0 | 0 | 458 | 500 | 708 | 1.208 | 250 | 505 | 15 | 8 | 503 | 227 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | Dunedin Blue Jays | — | 222 | 205 | 43 | 11 | 0 | 1 | 13 | 66 | 0 | 2 | 2 | 210 | 257 | 278 | 535 | 68 | 291 | 30 | 6 | 238 | 47 | — | — | — | — | — | — |
| 2017 | 24 | A MLE | Lansing Lugnuts | — | 52 | 47 | 7 | 1 | 0 | 0 | 3 | 10 | 1 | 1 | 0 | 149 | 216 | 170 | 386 | 21 | 194 | 19 | 6 | 196 | 19 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | Buffalo Bisons | — | 50 | 44 | 7 | 4 | 1 | 0 | 4 | 21 | 0 | 0 | 0 | 159 | 224 | 295 | 520 | 136 | 277 | 42 | 8 | 225 | 38 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | Buffalo Bisons | — | 192 | 169 | 39 | 10 | 0 | 4 | 19 | 41 | 1 | 1 | 0 | 231 | 312 | 361 | 673 | 130 | 278 | 21 | 10 | 302 | 91 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | Reno Aces | — | 48 | 44 | 8 | 2 | 0 | 2 | 4 | 17 | 0 | 0 | 0 | 182 | 250 | 364 | 614 | 182 | 248 | 35 | 8 | 269 | 68 | — | — | — | — | — | — |
| 2021 | 28 | AA MLE | Amarillo Sod Poodles | — | 59 | 53 | 12 | 2 | 1 | 1 | 5 | 22 | 0 | 0 | 0 | 226 | 293 | 358 | 652 | 132 | 346 | 37 | 8 | 295 | 86 | — | — | — | — | — | — |
| 2022 | 29 | AA MLE | Erie SeaWolves | — | 76 | 65 | 12 | 2 | 0 | 2 | 9 | 12 | 2 | 0 | 1 | 185 | 303 | 308 | 610 | 123 | 180 | 16 | 12 | 260 | 62 | — | — | — | — | — | — |
| 2022 | 29 | ROK MLE | FCL Tigers | — | 24 | 22 | 5 | 1 | 1 | 1 | 2 | 6 | 0 | 1 | 0 | 227 | 292 | 500 | 792 | 273 | 270 | 25 | 8 | 305 | 93 | — | — | — | — | — | — |
| 2023 | 30 | AA MLE | San Antonio Missions | — | 408 | 369 | 79 | 12 | 1 | 7 | 31 | 83 | 0 | 7 | 2 | 214 | 275 | 309 | 584 | 95 | 244 | 20 | 8 | 258 | 61 | — | — | — | — | — | — |
| 2024 | 31 | AA MLE | San Antonio Missions | — | 274 | 247 | 43 | 7 | 0 | 1 | 22 | 46 | 1 | 6 | 2 | 174 | 244 | 215 | 459 | 40 | 200 | 17 | 8 | 207 | 26 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | GCL Blue Jays | — | 233 | 202 | 38 | 6 | 4 | 1 | 26 | 59 | 2 | 16 | 5 | 188 | 287 | 272 | 559 | 84 | 257 | 25 | 11 | 256 | 59 | — | — | — | — | — | — |
| 2013 | 20 | ROK RAW | GCL Blue Jays | — | 233 | 186 | 49 | 9 | 6 | 1 | 42 | 41 | 2 | 16 | 5 | 263 | 404 | 392 | 797 | 129 | 329 | 18 | 18 | 360 | 59 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | Lansing Lugnuts | — | 239 | 218 | 41 | 10 | 0 | 0 | 16 | 58 | 1 | 5 | 3 | 188 | 247 | 234 | 481 | 46 | 255 | 24 | 7 | 216 | 32 | — | — | — | — | — | — |
| 2015 | 22 | A RAW | Lansing Lugnuts | — | 239 | 211 | 51 | 15 | 0 | 0 | 23 | 41 | 1 | 5 | 3 | 242 | 319 | 313 | 632 | 71 | 298 | 17 | 10 | 287 | 32 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Dunedin Blue Jays | — | 149 | 137 | 26 | 5 | 3 | 2 | 9 | 33 | 1 | 5 | 3 | 190 | 245 | 314 | 559 | 124 | 231 | 22 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2016 | 23 | A+ RAW | Dunedin Blue Jays | — | 149 | 133 | 32 | 6 | 4 | 2 | 13 | 22 | 1 | 5 | 3 | 241 | 313 | 391 | 704 | 150 | 270 | 15 | 9 | 310 | 51 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 3 teams | — | 300 | 276 | 62 | 15 | 0 | 2 | 18 | 80 | 1 | 3 | 2 | 225 | 275 | 301 | 575 | 76 | 303 | 27 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2017 | 24 | A+ RAW | 3 teams | — | 300 | 266 | 69 | 16 | 0 | 3 | 28 | 57 | 1 | 3 | 2 | 259 | 332 | 353 | 686 | 94 | 314 | 19 | 9 | 308 | 58 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | 2 teams | — | 70 | 63 | 10 | 6 | 1 | 0 | 6 | 29 | 0 | 0 | 0 | 159 | 232 | 286 | 518 | 127 | 294 | 41 | 9 | 225 | 38 | — | — | — | — | — | — |
| 2018 | 25 | AAA RAW | 2 teams | — | 70 | 59 | 14 | 5 | 1 | 0 | 10 | 22 | 0 | 0 | 0 | 237 | 348 | 356 | 704 | 119 | 378 | 31 | 14 | 318 | 38 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | 2 teams | — | 273 | 241 | 57 | 15 | 0 | 6 | 27 | 58 | 1 | 1 | 0 | 237 | 316 | 373 | 689 | 137 | 287 | 21 | 10 | 302 | 91 | — | — | — | — | — | — |
| 2019 | 26 | AAA RAW | 2 teams | — | 273 | 222 | 54 | 15 | 0 | 5 | 46 | 44 | 1 | 1 | 0 | 243 | 375 | 378 | 754 | 135 | 282 | 16 | 17 | 342 | 91 | — | — | — | — | — | — |
| 2020 | 27 | INTL MLE | Tigres del Licey | — | 24 | 18 | 3 | 0 | 0 | 1 | 6 | 9 | 0 | 0 | 0 | 167 | 375 | 333 | 708 | 167 | 250 | 38 | 25 | — | — | — | — | — | — | — | — |
| 2020 | 27 | INTL RAW | Tigres del Licey | — | 24 | 18 | 3 | 0 | 0 | 1 | 6 | 9 | 0 | 0 | 0 | 167 | 375 | 333 | 708 | 167 | 250 | 38 | 25 | 337 | 114 | — | — | — | — | — | — |
| 2021 | 28 | INTL MLE | 3 teams | — | 204 | 185 | 40 | 9 | 2 | 6 | 17 | 74 | 0 | 0 | 0 | 216 | 282 | 384 | 666 | 168 | 318 | 36 | 8 | 283 | 78 | — | — | — | — | — | — |
| 2021 | 28 | INTL RAW | 3 teams | — | 204 | 177 | 47 | 9 | 1 | 5 | 25 | 54 | 0 | 0 | 0 | 266 | 356 | 412 | 769 | 147 | 350 | 26 | 12 | 343 | 78 | — | — | — | — | — | — |
| 2022 | 29 | INTL MLE | 3 teams | — | 192 | 170 | 31 | 6 | 1 | 5 | 20 | 35 | 2 | 1 | 1 | 182 | 276 | 318 | 594 | 135 | 200 | 18 | 10 | 271 | 69 | — | — | — | — | — | — |
| 2022 | 29 | INTL RAW | 3 teams | — | 192 | 167 | 39 | 8 | 1 | 3 | 23 | 31 | 2 | 1 | 1 | 234 | 333 | 347 | 681 | 114 | 271 | 16 | 12 | 313 | 69 | — | — | — | — | — | — |
| 2023 | 30 | AA MLE | 2 teams | — | 550 | 499 | 107 | 17 | 1 | 9 | 41 | 112 | 0 | 7 | 3 | 214 | 274 | 307 | 581 | 92 | 253 | 20 | 7 | 258 | 61 | — | — | — | — | — | — |
| 2023 | 30 | AA RAW | 2 teams | — | 550 | 473 | 122 | 21 | 2 | 8 | 65 | 84 | 0 | 7 | 3 | 258 | 346 | 362 | 708 | 104 | 292 | 15 | 12 | 317 | 61 | — | — | — | — | — | — |
| 2024 | 31 | AA MLE | 2 teams | — | 323 | 291 | 50 | 8 | 0 | 1 | 26 | 54 | 1 | 6 | 2 | 172 | 242 | 210 | 452 | 38 | 206 | 17 | 8 | 207 | 26 | — | — | — | — | — | — |
| 2024 | 31 | AA RAW | 2 teams | — | 323 | 271 | 53 | 9 | 0 | 2 | 45 | 50 | 1 | 6 | 2 | 196 | 311 | 251 | 562 | 55 | 231 | 15 | 14 | 266 | 26 | — | — | — | — | — | — |
| 2025 | 32 | INTL MLE | Dominican Republic | — | 82 | 70 | 14 | 5 | 1 | 0 | 9 | 18 | 0 | 0 | 0 | 200 | 291 | 300 | 591 | 100 | 264 | 22 | 11 | — | — | — | — | — | — | — | — |
| 2025 | 32 | INTL RAW | Dominican Republic | — | 82 | 70 | 14 | 5 | 1 | 0 | 9 | 18 | 0 | 0 | 0 | 200 | 291 | 300 | 591 | 100 | 264 | 22 | 11 | 263 | 64 | — | — | — | — | — | — |
| 2026 | 33 | INTL MLE | Leones del Escogido | — | 19 | 15 | 2 | 0 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 133 | 263 | 133 | 396 | 222 | 32 | 16 | — | — | — | — | — | — | — | — | |
| 2026 | 33 | INTL RAW | Leones del Escogido | — | 19 | 15 | 2 | 0 | 0 | 0 | 3 | 6 | 0 | 0 | 0 | 133 | 263 | 133 | 396 | 222 | 32 | 16 | 205 | 25 | — | — | — | — | — | — | |
| 2013 | 20 | ROK MLE | GCL Blue Jays | — | 233 | 203 | 38 | 6 | 4 | 1 | 26 | 59 | 2 | 16 | 5 | 187 | 287 | 271 | 558 | 84 | 256 | 25 | 11 | 256 | 59 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | Lansing Lugnuts | — | 239 | 220 | 41 | 10 | 0 | 0 | 16 | 58 | 1 | 5 | 3 | 186 | 247 | 232 | 479 | 45 | 248 | 24 | 7 | 216 | 32 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Dunedin Blue Jays | — | 149 | 138 | 26 | 5 | 3 | 2 | 9 | 33 | 1 | 5 | 3 | 188 | 245 | 312 | 556 | 123 | 228 | 22 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2017 | 24 | A+ MLE | 3 teams | — | 300 | 278 | 62 | 15 | 0 | 2 | 18 | 80 | 1 | 3 | 2 | 223 | 275 | 299 | 573 | 76 | 293 | 27 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2018 | 25 | AAA MLE | 2 teams | — | 70 | 64 | 10 | 6 | 1 | 0 | 6 | 29 | 0 | 0 | 0 | 156 | 232 | 281 | 513 | 125 | 277 | 41 | 9 | 225 | 38 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | 2 teams | — | 273 | 243 | 57 | 15 | 0 | 6 | 27 | 58 | 1 | 1 | 0 | 235 | 316 | 370 | 686 | 136 | 278 | 21 | 10 | 302 | 91 | — | — | — | — | — | — |
| 2021 | 28 | INTL MLE | 3 teams | — | 204 | 185 | 40 | 9 | 2 | 6 | 17 | 74 | 0 | 0 | 0 | 216 | 282 | 384 | 666 | 168 | 302 | 36 | 8 | 283 | 78 | — | — | — | — | — | — |
| 2022 | 29 | INTL MLE | 3 teams | — | 192 | 168 | 31 | 6 | 1 | 5 | 20 | 35 | 2 | 1 | 1 | 185 | 276 | 321 | 597 | 137 | 202 | 18 | 10 | 271 | 69 | — | — | — | — | — | — |
| 2023 | 30 | AA MLE | 2 teams | — | 550 | 504 | 107 | 17 | 1 | 9 | 41 | 112 | 0 | 7 | 3 | 212 | 274 | 304 | 578 | 91 | 244 | 20 | 7 | 258 | 61 | — | — | — | — | — | — |
| 2024 | 31 | AA MLE | 2 teams | — | 323 | 293 | 50 | 8 | 0 | 1 | 26 | 54 | 1 | 6 | 2 | 171 | 242 | 208 | 450 | 38 | 200 | 17 | 8 | 207 | 26 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 31 | AA MLE | 2 teams | — | 323 | 293 | 50 | 8 | 0 | 1 | 26 | 54 | 1 | 6 | 2 | 171 | 242 | 208 | 450 | 38 | 200 | 17 | 8 | 207 | 26 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2658 | 2385 | 481 | 102 | 13 | 33 | 224 | 625 | 9 | 44 | 19 | 202 | 273 | 297 | 569 | 95 | 256 | 24 | 8 | 241 | 49 | -161 | +1 | +0 | +47 | +58 | -5.6 | |
| / 162G | — | MLE | — | 650 | 583 | 117 | 25 | 3 | 8 | 55 | 153 | 2 | 11 | 5 | 201 | 272 | 295 | 567 | 94 | 255 | 24 | 8 | 241 | 49 | -39 | +0 | +0 | +12 | +14 | -1.4 | |
How the minor-league lines were translated
One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.
2024 AASan Antonio Missions · 274 PAwOBA .260 → .207 (−53)K% 13.5% → 16.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.50% | ÷0.987 | ×1.220 | — | — | 16.70% |
| BB% (unintentional) /PA | 12.04% | ÷0.987 | ×0.700 | — | ×0.940 | 8.03% |
| HBP% /PA | 0.36% | — | ×0.870 | — | ×0.940 | 0.30% |
| Singles /BIP | 20.20% | ÷1.015 | ×0.920 | ×0.980 | ×0.940 | 16.87% |
| Doubles /BIP | 4.04% | ÷0.957 | ×0.840 | ×0.980 | ×0.940 | 3.27% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.940 | ×0.980 | ×0.940 | 0.00% |
| Home runs /BIP | 0.51% | ÷0.953 | ×0.800 | — | ×0.940 | 0.40% |
Factors used: league row TL. Park (home-season share, regressed): HR 91, 1B 103, 2B 91, 3B 130, K 97, BB 97 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.
Result: wOBA .260 → .207; ISO .047 → .039; BABIP .241 → .200. 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 AASan Antonio Missions · 408 PAwOBA .311 → .258 (−53)K% 16.4% → 20.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.42% | ÷0.987 | ×1.220 | — | — | 20.30% |
| BB% (unintentional) /PA | 10.54% | ÷0.927 | ×0.700 | — | ×0.948 | 7.55% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×0.948 | 0.00% |
| Singles /BIP | 22.92% | ÷0.986 | ×0.920 | ×0.990 | ×0.948 | 20.06% |
| Doubles /BIP | 5.90% | ÷1.116 | ×0.840 | ×0.990 | ×0.948 | 4.17% |
| Triples /BIP | 0.35% | ÷1.010 | ×0.940 | ×0.990 | ×0.948 | 0.30% |
| Home runs /BIP | 2.43% | ÷0.820 | ×0.800 | — | ×0.948 | 2.25% |
Factors used: league row TL. Park (home-season share, regressed): HR 64, 1B 97, 2B 123, 3B 102, K 97, BB 85 — applied at half strength. Age: age 30 vs a level average of 24.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.
Result: wOBA .311 → .258; ISO .113 → .096; BABIP .291 → .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).
2022 AAErie SeaWolves · 76 PAwOBA .319 → .260 (−59)K% 13.2% → 16.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.16% | ÷0.995 | ×1.220 | — | — | 16.13% |
| BB% (unintentional) /PA | 17.11% | ÷0.992 | ×0.700 | — | ×0.958 | 11.56% |
| HBP% /PA | 2.63% | — | ×0.850 | — | ×0.958 | 2.14% |
| Singles /BIP | 16.00% | ÷1.042 | ×0.970 | ×1.002 | ×0.958 | 14.30% |
| Doubles /BIP | 4.00% | ÷1.042 | ×0.860 | ×1.002 | ×0.958 | 3.17% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.950 | ×1.002 | ×0.958 | 0.00% |
| Home runs /BIP | 4.00% | ÷0.926 | ×0.780 | — | ×0.958 | 3.23% |
Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 108, 2B 108, 3B 80, K 99, BB 98 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.
Result: wOBA .319 → .260; ISO .133 → .114; BABIP .208 → .180. 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 ROKFCL Tigers · 24 PAwOBA .449 → .305 (−144)K% 16.7% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.973 | ×1.440 | — | — | 24.66% |
| BB% (unintentional) /PA | 12.50% | ÷0.978 | ×0.620 | — | ×0.940 | 7.45% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.940 | 0.00% |
| Singles /BIP | 17.65% | ÷1.018 | ×0.820 | — | ×0.940 | 13.36% |
| Doubles /BIP | 11.76% | ÷0.941 | ×0.720 | — | ×0.940 | 8.46% |
| Triples /BIP | 5.88% | ÷0.990 | ×0.720 | — | ×0.940 | 4.02% |
| Home runs /BIP | 5.88% | ÷0.990 | ×0.780 | — | ×0.940 | 4.36% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 104, 2B 88, 3B 98, K 95, BB 96 — applied at half strength. Age: age 29 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (9.5 yr older than average).
Result: wOBA .449 → .305; ISO .333 → .230; BABIP .375 → .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).
2021 AAAmarillo Sod Poodles · 59 PAwOBA .392 → .295 (−98)K% 28.8% → 37.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.81% | ÷0.946 | ×1.220 | — | — | 37.17% |
| BB% (unintentional) /PA | 13.56% | ÷0.992 | ×0.690 | — | ×0.968 | 9.13% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.968 | 0.00% |
| Singles /BIP | 27.27% | ÷1.025 | ×0.940 | — | ×0.968 | 24.20% |
| Doubles /BIP | 9.09% | ÷1.034 | ×0.870 | — | ×0.968 | 7.40% |
| Triples /BIP | 3.03% | ÷0.945 | ×0.920 | — | ×0.968 | 2.86% |
| Home runs /BIP | 6.06% | ÷1.271 | ×0.780 | — | ×0.968 | 3.60% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 154, 1B 105, 2B 107, 3B 89, K 89, BB 98 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).
Result: wOBA .392 → .295; ISO .220 → .152; BABIP .406 → .346. 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 AAAReno Aces · 48 PAwOBA .367 → .269 (−97)K% 29.2% → 35.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.17% | ÷0.991 | ×1.200 | — | — | 35.31% |
| BB% (unintentional) /PA | 10.42% | ÷0.963 | ×0.690 | — | ×0.992 | 7.40% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×0.992 | 0.00% |
| Singles /BIP | 17.24% | ÷1.047 | ×0.930 | — | ×0.992 | 15.19% |
| Doubles /BIP | 10.34% | ÷1.096 | ×0.830 | — | ×0.992 | 7.77% |
| Triples /BIP | 0.00% | ÷1.113 | ×0.920 | — | ×0.992 | 0.00% |
| Home runs /BIP | 10.34% | ÷0.958 | ×0.700 | — | ×0.992 | 7.50% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 109, 2B 119, 3B 123, K 98, BB 93 — 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).
Result: wOBA .367 → .269; ISO .279 → .194; BABIP .308 → .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).
2019 AAABuffalo Bisons · 192 PAwOBA .357 → .302 (−56)K% 17.2% → 21.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.19% | ÷0.968 | ×1.200 | — | — | 21.30% |
| BB% (unintentional) /PA | 13.54% | ÷0.953 | ×0.690 | — | ×1.018 | 9.98% |
| HBP% /PA | 0.52% | — | ×0.940 | — | ×1.018 | 0.50% |
| Singles /BIP | 21.71% | ÷1.011 | ×0.930 | ×0.950 | ×1.018 | 19.30% |
| Doubles /BIP | 9.30% | ÷0.954 | ×0.830 | ×0.950 | ×1.018 | 7.83% |
| Triples /BIP | 0.00% | ÷0.909 | ×0.970 | ×0.950 | ×1.018 | 0.00% |
| Home runs /BIP | 3.88% | ÷1.000 | ×0.840 | — | ×1.018 | 3.32% |
Factors used: league row IL. Park (home-season share, regressed): HR 100, 1B 102, 2B 91, 3B 82, K 94, BB 91 — 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 ×0.950.
Result: wOBA .357 → .302; ISO .167 → .144; BABIP .320 → .278. 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 AAABuffalo Bisons · 50 PAwOBA .274 → .225 (−48)K% 34.0% → 41.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.00% | ÷0.993 | ×1.200 | — | — | 41.09% |
| BB% (unintentional) /PA | 12.00% | ÷0.954 | ×0.690 | — | ×1.033 | 8.97% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.033 | 0.00% |
| Singles /BIP | 7.69% | ÷0.970 | ×0.930 | — | ×1.033 | 7.62% |
| Doubles /BIP | 19.23% | ÷0.987 | ×0.830 | — | ×1.033 | 16.70% |
| Triples /BIP | 3.85% | ÷1.150 | ×0.970 | — | ×1.033 | 3.35% |
| Home runs /BIP | 0.00% | ÷1.080 | ×0.840 | — | ×1.033 | 0.00% |
Factors used: league row IL. Park (home-season share, regressed): HR 116, 1B 94, 2B 97, 3B 130, K 99, BB 91 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average).
Result: wOBA .274 → .225; ISO .163 → .136; BABIP .308 → .277. 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 — .