Lorenzo Cedrola
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 26 | AAA/INTL2 orgs | 341 | .359/.424/.508 | 5 | 20 | 152 | — | .245/.304/.351 |
| 2025 | 27 | INTLTigres de Ara… | 228 | .317/.361/.434 | 2 | 12 | 117 | — | |
| 2026 | 28 | INTLTigres de Ara… | 58 | .327/.375/.404 | 1 | 3 | 118 | — |
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) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK | DSL Red Sox 2 | — | 312 | 265 | 85 | 8 | 7 | 1 | 23 | 33 | 23 | 27 | 7 | 321 | 421 | 415 | 836 | 94 | 362 | 11 | 7 | 382 | 66 | — | — | — | — | — | — |
| 2016 | 18 | ROK | GCL Red Sox | — | 238 | 214 | 62 | 14 | 1 | 2 | 11 | 28 | 10 | 9 | 4 | 290 | 353 | 393 | 746 | 103 | 323 | 12 | 5 | 334 | 54 | — | — | — | — | — | — |
| 2017 | 19 | A | Greenville Drive | — | 379 | 354 | 101 | 18 | 3 | 4 | 11 | 48 | 9 | 19 | 7 | 285 | 324 | 387 | 711 | 102 | 319 | 13 | 3 | 315 | 68 | — | — | — | — | — | — |
| 2018 | 20 | A | Dayton Dragons | — | 417 | 380 | 111 | 21 | 5 | 1 | 14 | 57 | 11 | 23 | 15 | 292 | 336 | 382 | 717 | 89 | 336 | 14 | 3 | 314 | 70 | — | — | — | — | — | — |
| 2019 | 21 | A+ | Daytona Tortugas | — | 381 | 343 | 95 | 10 | 7 | 1 | 17 | 43 | 12 | 18 | 10 | 277 | 333 | 356 | 689 | 79 | 310 | 11 | 4 | 306 | 64 | — | — | — | — | — | — |
| 2020 | 22 | INTL | Tiburones de La Guaira | — | 76 | 70 | 22 | 3 | 0 | 0 | 4 | 13 | 1 | 4 | 0 | 314 | 360 | 357 | 717 | 43 | 379 | 17 | 5 | 323 | 105 | — | — | — | — | — | — |
| 2021 | 23 | AAA | Louisville Bats | — | 39 | 35 | 9 | 3 | 0 | 1 | 2 | 2 | 2 | 2 | 0 | 257 | 333 | 429 | 762 | 171 | 250 | 5 | 5 | 342 | 86 | — | — | — | — | — | — |
| 2021 | 23 | AA | Chattanooga Lookouts | — | 437 | 406 | 130 | 16 | 7 | 9 | 17 | 50 | 8 | 8 | 8 | 320 | 360 | 461 | 820 | 140 | 345 | 11 | 4 | 359 | 107 | — | — | — | — | — | — |
| 2021 | 23 | INTL | Tiburones de La Guaira | — | 130 | 120 | 30 | 7 | 1 | 0 | 8 | 13 | 1 | 5 | 2 | 250 | 302 | 325 | 627 | 75 | 278 | 10 | 6 | 283 | 78 | — | — | — | — | — | — |
| 2022 | 24 | AAA | Louisville Bats | — | 504 | 475 | 127 | 20 | 5 | 4 | 13 | 84 | 12 | 15 | 6 | 267 | 304 | 356 | 660 | 88 | 316 | 17 | 3 | 295 | 62 | — | — | — | — | — | — |
| 2022 | 24 | INTL | Tiburones de La Guaira | — | 15 | 15 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 133 | 133 | 133 | 267 | 154 | 13 | 0 | 121 | -32 | — | — | — | — | — | — | |
| 2023 | 25 | AAA | Syracuse Mets | — | 229 | 188 | 47 | 8 | 2 | 6 | 25 | 27 | 12 | 15 | 4 | 250 | 373 | 410 | 783 | 160 | 265 | 12 | 11 | 351 | 89 | — | — | — | — | — | — |
| 2023 | 25 | ROK | FCL Mets | — | 22 | 20 | 5 | 1 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 250 | 318 | 300 | 618 | 50 | 294 | 14 | 9 | 286 | 14 | — | — | — | — | — | — |
| 2023 | 25 | INTL | Tiburones de La Guaira | — | 187 | 165 | 55 | 7 | 2 | 2 | 14 | 24 | 4 | 7 | 4 | 333 | 399 | 436 | 835 | 103 | 371 | 13 | 7 | 368 | 136 | — | — | — | — | — | — |
| 2024 | 26 | AAA | Columbus Clippers | — | 103 | 91 | 25 | 6 | 1 | 1 | 8 | 16 | 3 | 9 | 1 | 275 | 353 | 396 | 749 | 121 | 320 | 16 | 8 | 336 | 79 | — | — | — | — | — | — |
| 2024 | 26 | INTL | Tigres de Aragua | — | 238 | 210 | 83 | 8 | 7 | 4 | 20 | 19 | 4 | 11 | 2 | 395 | 455 | 557 | 1.012 | 162 | 416 | 8 | 8 | 440 | 184 | — | — | — | — | — | — |
| 2025 | 27 | INTL | Tigres de Aragua | — | 228 | 205 | 65 | 10 | 4 | 2 | 8 | 24 | 6 | 12 | 7 | 317 | 361 | 434 | 795 | 117 | 344 | 11 | 4 | 341 | 117 | — | — | — | — | — | — |
| 2026 | 28 | INTL | Tigres de Aragua | — | 58 | 52 | 17 | 1 | 0 | 1 | 1 | 5 | 3 | 3 | 2 | 327 | 375 | 404 | 779 | 77 | 348 | 9 | 2 | 342 | 118 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK MLE | DSL Red Sox 2 | — | 312 | 273 | 61 | 5 | 5 | 0 | 15 | 40 | 23 | 27 | 7 | 223 | 318 | 278 | 597 | 55 | 254 | 13 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Red Sox | — | 238 | 218 | 49 | 10 | 1 | 2 | 7 | 40 | 10 | 9 | 4 | 225 | 281 | 307 | 588 | 83 | 255 | 17 | 3 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Greenville Drive | — | 379 | 358 | 93 | 16 | 3 | 2 | 7 | 65 | 9 | 19 | 7 | 260 | 291 | 338 | 629 | 78 | 301 | 17 | 2 | 269 | 68 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | Dayton Dragons | — | 417 | 385 | 101 | 19 | 5 | 1 | 9 | 78 | 11 | 23 | 15 | 262 | 299 | 345 | 644 | 83 | 306 | 19 | 2 | 272 | 70 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Daytona Tortugas | — | 381 | 347 | 85 | 9 | 5 | 1 | 13 | 62 | 12 | 18 | 10 | 245 | 296 | 308 | 604 | 63 | 282 | 16 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | Louisville Bats | — | 39 | 36 | 9 | 3 | 0 | 1 | 1 | 3 | 2 | 2 | 0 | 250 | 308 | 417 | 724 | 167 | 238 | 8 | 3 | 295 | 86 | — | — | — | — | — | — |
| 2021 | 23 | AA MLE | Chattanooga Lookouts | — | 437 | 410 | 123 | 12 | 7 | 8 | 13 | 59 | 8 | 8 | 8 | 300 | 334 | 422 | 756 | 122 | 327 | 14 | 3 | 326 | 107 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | Louisville Bats | — | 504 | 479 | 116 | 17 | 5 | 2 | 9 | 105 | 12 | 15 | 6 | 242 | 274 | 311 | 585 | 69 | 305 | 21 | 2 | 260 | 62 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | Syracuse Mets | — | 229 | 195 | 43 | 7 | 2 | 4 | 18 | 34 | 12 | 15 | 4 | 221 | 324 | 338 | 663 | 118 | 246 | 15 | 8 | 300 | 89 | — | — | — | — | — | — |
| 2023 | 25 | ROK MLE | FCL Mets | — | 22 | 21 | 4 | 1 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 190 | 227 | 238 | 465 | 48 | 216 | 23 | 5 | 189 | 14 | — | — | — | — | — | — |
| 2024 | 26 | AAA MLE | Columbus Clippers | — | 103 | 94 | 23 | 5 | 1 | 1 | 5 | 20 | 3 | 9 | 1 | 245 | 304 | 351 | 655 | 106 | 295 | 19 | 5 | 285 | 79 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | DSL Red Sox 2 | — | 312 | 273 | 61 | 5 | 5 | 0 | 15 | 40 | 23 | 27 | 7 | 223 | 318 | 278 | 597 | 55 | 261 | 13 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2015 | 17 | ROK RAW | DSL Red Sox 2 | — | 312 | 265 | 85 | 8 | 7 | 1 | 23 | 33 | 23 | 27 | 7 | 321 | 421 | 415 | 836 | 94 | 362 | 11 | 7 | 382 | 66 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Red Sox | — | 238 | 218 | 49 | 10 | 1 | 2 | 7 | 40 | 10 | 9 | 4 | 225 | 281 | 307 | 588 | 83 | 264 | 17 | 3 | 248 | 54 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | GCL Red Sox | — | 238 | 214 | 62 | 14 | 1 | 2 | 11 | 28 | 10 | 9 | 4 | 290 | 353 | 393 | 746 | 103 | 323 | 12 | 5 | 334 | 54 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Greenville Drive | — | 379 | 358 | 93 | 16 | 3 | 2 | 7 | 65 | 9 | 19 | 7 | 260 | 291 | 338 | 629 | 78 | 311 | 17 | 2 | 269 | 68 | — | — | — | — | — | — |
| 2017 | 19 | A RAW | Greenville Drive | — | 379 | 354 | 101 | 18 | 3 | 4 | 11 | 48 | 9 | 19 | 7 | 285 | 324 | 387 | 711 | 102 | 319 | 13 | 3 | 315 | 68 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | Dayton Dragons | — | 417 | 385 | 101 | 19 | 5 | 1 | 9 | 78 | 11 | 23 | 15 | 262 | 299 | 345 | 644 | 83 | 322 | 19 | 2 | 272 | 70 | — | — | — | — | — | — |
| 2018 | 20 | A RAW | Dayton Dragons | — | 417 | 380 | 111 | 21 | 5 | 1 | 14 | 57 | 11 | 23 | 15 | 292 | 336 | 382 | 717 | 89 | 336 | 14 | 3 | 314 | 70 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Daytona Tortugas | — | 381 | 347 | 85 | 9 | 5 | 1 | 13 | 62 | 12 | 18 | 10 | 245 | 296 | 308 | 604 | 63 | 292 | 16 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2019 | 21 | A+ RAW | Daytona Tortugas | — | 381 | 343 | 95 | 10 | 7 | 1 | 17 | 43 | 12 | 18 | 10 | 277 | 333 | 356 | 689 | 79 | 310 | 11 | 4 | 306 | 64 | — | — | — | — | — | — |
| 2020 | 22 | INTL MLE | Tiburones de La Guaira | — | 76 | 70 | 22 | 3 | 0 | 0 | 4 | 13 | 1 | 4 | 0 | 314 | 360 | 357 | 717 | 43 | 379 | 17 | 5 | — | — | — | — | — | — | — | — |
| 2020 | 22 | INTL RAW | Tiburones de La Guaira | — | 76 | 70 | 22 | 3 | 0 | 0 | 4 | 13 | 1 | 4 | 0 | 314 | 360 | 357 | 717 | 43 | 379 | 17 | 5 | 323 | 105 | — | — | — | — | — | — |
| 2021 | 23 | AA MLE | 3 teams | — | 606 | 570 | 168 | 19 | 9 | 11 | 18 | 78 | 11 | 15 | 10 | 295 | 329 | 418 | 746 | 123 | 323 | 13 | 3 | 323 | 105 | — | — | — | — | — | — |
| 2021 | 23 | AA RAW | 3 teams | — | 606 | 561 | 169 | 26 | 8 | 10 | 27 | 65 | 11 | 15 | 10 | 301 | 346 | 430 | 775 | 128 | 324 | 11 | 4 | 342 | 105 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | 2 teams | — | 519 | 494 | 121 | 18 | 6 | 2 | 9 | 108 | 12 | 15 | 6 | 245 | 276 | 318 | 594 | 73 | 308 | 21 | 2 | 260 | 62 | — | — | — | — | — | — |
| 2022 | 24 | AAA RAW | 2 teams | — | 519 | 490 | 129 | 20 | 5 | 4 | 13 | 86 | 12 | 15 | 6 | 263 | 299 | 349 | 648 | 86 | 311 | 17 | 3 | 290 | 62 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | 3 teams | — | 438 | 380 | 83 | 14 | 3 | 8 | 34 | 67 | 16 | 22 | 8 | 218 | 309 | 334 | 644 | 116 | 243 | 15 | 8 | 290 | 83 | — | — | — | — | — | — |
| 2023 | 25 | AAA RAW | 3 teams | — | 438 | 373 | 107 | 16 | 4 | 8 | 41 | 54 | 16 | 22 | 8 | 287 | 381 | 416 | 797 | 129 | 314 | 12 | 9 | 355 | 83 | — | — | — | — | — | — |
| 2024 | 26 | INTL MLE | 2 teams | — | 341 | 312 | 75 | 16 | 4 | 2 | 18 | 68 | 7 | 20 | 3 | 240 | 297 | 337 | 633 | 96 | 297 | 20 | 5 | 285 | 79 | — | — | — | — | — | — |
| 2024 | 26 | INTL RAW | 2 teams | — | 341 | 301 | 108 | 14 | 8 | 5 | 28 | 35 | 7 | 20 | 3 | 359 | 424 | 508 | 933 | 150 | 389 | 10 | 8 | 408 | 79 | — | — | — | — | — | — |
| 2025 | 27 | INTL MLE | Tigres de Aragua | — | 228 | 205 | 65 | 10 | 4 | 2 | 8 | 24 | 6 | 12 | 7 | 317 | 361 | 434 | 795 | 117 | 344 | 11 | 4 | — | — | — | — | — | — | — | — |
| 2025 | 27 | INTL RAW | Tigres de Aragua | — | 228 | 205 | 65 | 10 | 4 | 2 | 8 | 24 | 6 | 12 | 7 | 317 | 361 | 434 | 795 | 117 | 344 | 11 | 4 | 341 | 117 | — | — | — | — | — | — |
| 2026 | 28 | INTL MLE | Tigres de Aragua | — | 58 | 52 | 17 | 1 | 0 | 1 | 1 | 5 | 3 | 3 | 2 | 327 | 375 | 404 | 779 | 77 | 348 | 9 | 2 | — | — | — | — | — | — | — | — |
| 2026 | 28 | INTL RAW | Tigres de Aragua | — | 58 | 52 | 17 | 1 | 0 | 1 | 1 | 5 | 3 | 3 | 2 | 327 | 375 | 404 | 779 | 77 | 348 | 9 | 2 | 342 | 118 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | DSL Red Sox 2 | — | 312 | 271 | 61 | 5 | 5 | 0 | 15 | 40 | 23 | 27 | 7 | 225 | 318 | 280 | 599 | 55 | 254 | 13 | 5 | 266 | 66 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Red Sox | — | 238 | 219 | 49 | 10 | 1 | 2 | 7 | 40 | 10 | 9 | 4 | 224 | 281 | 306 | 587 | 82 | 255 | 17 | 3 | 248 | 54 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Greenville Drive | — | 379 | 360 | 93 | 16 | 3 | 2 | 7 | 65 | 9 | 19 | 7 | 258 | 291 | 336 | 628 | 78 | 301 | 17 | 2 | 269 | 68 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | Dayton Dragons | — | 417 | 394 | 101 | 19 | 5 | 1 | 9 | 78 | 11 | 23 | 15 | 256 | 299 | 338 | 636 | 81 | 306 | 19 | 2 | 272 | 70 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Daytona Tortugas | — | 381 | 353 | 85 | 9 | 5 | 1 | 13 | 62 | 12 | 18 | 10 | 241 | 296 | 303 | 599 | 62 | 282 | 16 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2021 | 23 | AA MLE | 3 teams | — | 606 | 572 | 168 | 19 | 9 | 11 | 18 | 78 | 11 | 15 | 10 | 294 | 329 | 416 | 745 | 122 | 320 | 13 | 3 | 323 | 105 | — | — | — | — | — | — |
| 2022 | 24 | AAA MLE | 2 teams | — | 519 | 493 | 121 | 18 | 6 | 2 | 9 | 108 | 12 | 15 | 6 | 245 | 276 | 318 | 594 | 73 | 305 | 21 | 2 | 260 | 62 | — | — | — | — | — | — |
| 2023 | 25 | AAA MLE | 3 teams | — | 438 | 385 | 83 | 14 | 3 | 8 | 34 | 67 | 16 | 22 | 8 | 216 | 309 | 330 | 639 | 114 | 243 | 15 | 8 | 290 | 83 | — | — | — | — | — | — |
| 2024 | 26 | INTL MLE | 2 teams | — | 341 | 313 | 75 | 16 | 4 | 2 | 18 | 68 | 7 | 20 | 3 | 240 | 297 | 335 | 632 | 96 | 295 | 20 | 5 | 285 | 79 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 26 | INTL MLE | 2 teams | — | 341 | 313 | 75 | 16 | 4 | 2 | 18 | 68 | 7 | 20 | 3 | 240 | 297 | 335 | 632 | 96 | 295 | 20 | 5 | 285 | 79 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 3993 | 3664 | 940 | 140 | 45 | 32 | 143 | 648 | 121 | 187 | 79 | 257 | 307 | 346 | 652 | 89 | 301 | 16 | 4 | 254 | 58 | -200 | +6 | +0 | +14 | +87 | -9.6 | |
| / 162G | — | MLE | — | 650 | 596 | 153 | 23 | 7 | 5 | 23 | 105 | 20 | 30 | 13 | 257 | 307 | 344 | 651 | 87 | 301 | 16 | 4 | 254 | 58 | -33 | +1 | +0 | +2 | +14 | -1.6 | |
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.
2024 AAAColumbus Clippers · 103 PAwOBA .330 → .285 (−46)K% 15.5% → 19.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.53% | ÷0.939 | ×1.200 | — | — | 19.86% |
| BB% (unintentional) /PA | 7.77% | ÷1.036 | ×0.690 | — | ×1.018 | 5.27% |
| HBP% /PA | 2.91% | — | ×0.940 | — | ×1.018 | 2.79% |
| Singles /BIP | 22.67% | ÷0.977 | ×0.930 | ×0.978 | ×1.018 | 21.47% |
| Doubles /BIP | 8.00% | ÷0.985 | ×0.830 | ×0.978 | ×1.018 | 6.71% |
| Triples /BIP | 1.33% | ÷0.900 | ×0.970 | ×0.978 | ×1.018 | 1.43% |
| Home runs /BIP | 1.33% | ÷1.060 | ×0.700 | — | ×1.018 | 0.90% |
Factors used: league row International League. Park (home-season share, regressed): HR 112, 1B 95, 2B 97, 3B 80, K 88, BB 107 — 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 ×0.978.
Result: wOBA .330 → .285; ISO .121 → .100; BABIP .320 → .295. 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 AAASyracuse Mets · 229 PAwOBA .342 → .300 (−42)K% 11.8% → 14.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.79% | ÷0.961 | ×1.200 | — | — | 14.73% |
| BB% (unintentional) /PA | 10.92% | ÷0.967 | ×0.690 | — | ×1.033 | 8.05% |
| HBP% /PA | 5.24% | — | ×0.940 | — | ×1.033 | 5.09% |
| Singles /BIP | 19.25% | ÷0.997 | ×0.930 | ×0.988 | ×1.033 | 18.33% |
| Doubles /BIP | 4.97% | ÷0.933 | ×0.830 | ×0.988 | ×1.033 | 4.51% |
| Triples /BIP | 1.24% | ÷1.150 | ×0.970 | ×0.988 | ×1.033 | 1.07% |
| Home runs /BIP | 3.73% | ÷1.003 | ×0.700 | — | ×1.033 | 2.69% |
Factors used: league row International League. Park (home-season share, regressed): HR 101, 1B 99, 2B 87, 3B 130, K 92, BB 93 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.988.
Result: wOBA .342 → .300; ISO .160 → .129; BABIP .265 → .246. 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 ROKFCL Mets · 22 PAwOBA .279 → .189 (−91)K% 13.6% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.64% | ÷0.949 | ×1.440 | — | — | 20.70% |
| BB% (unintentional) /PA | 9.09% | ÷1.004 | ×0.620 | — | ×0.945 | 5.30% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.945 | 0.00% |
| Singles /BIP | 23.53% | ÷1.046 | ×0.820 | — | ×0.945 | 17.42% |
| Doubles /BIP | 5.88% | ÷0.953 | ×0.720 | — | ×0.945 | 4.20% |
| Triples /BIP | 0.00% | ÷0.979 | ×0.720 | — | ×0.945 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.040 | ×0.780 | — | ×0.945 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 109, 2B 91, 3B 96, K 90, BB 101 — 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 .279 → .189; ISO .050 → .034; BABIP .294 → .216. 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 AAALouisville Bats · 504 PAwOBA .288 → .260 (−28)K% 16.7% → 20.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.958 | ×1.200 | — | — | 20.89% |
| BB% (unintentional) /PA | 2.58% | ÷1.023 | ×0.690 | — | ×1.048 | 1.82% |
| HBP% /PA | 2.38% | — | ×0.940 | — | ×1.048 | 2.35% |
| Singles /BIP | 25.06% | ÷0.996 | ×0.930 | ×0.994 | ×1.048 | 24.39% |
| Doubles /BIP | 5.12% | ÷0.955 | ×0.830 | ×0.994 | ×1.048 | 4.63% |
| Triples /BIP | 1.28% | ÷0.900 | ×0.970 | ×0.994 | ×1.048 | 1.44% |
| Home runs /BIP | 1.02% | ÷1.282 | ×0.700 | — | ×1.048 | 0.59% |
Factors used: league row International League. Park (home-season share, regressed): HR 156, 1B 99, 2B 91, 3B 80, K 92, BB 105 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .288 → .260; ISO .088 → .074; BABIP .316 → .305. 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 AAChattanooga Lookouts · 437 PAwOBA .353 → .326 (−27)K% 11.4% → 13.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.44% | ÷1.040 | ×1.220 | — | — | 13.42% |
| BB% (unintentional) /PA | 3.89% | ÷0.936 | ×0.690 | — | ×1.027 | 2.94% |
| HBP% /PA | 1.83% | — | ×0.850 | — | ×1.027 | 1.60% |
| Singles /BIP | 27.53% | ÷1.011 | ×0.940 | ×1.021 | ×1.027 | 26.82% |
| Doubles /BIP | 4.49% | ÷1.183 | ×0.870 | ×1.021 | ×1.027 | 3.47% |
| Triples /BIP | 1.97% | ÷0.912 | ×0.920 | ×1.021 | ×1.027 | 2.08% |
| Home runs /BIP | 2.53% | ÷0.950 | ×0.780 | — | ×1.027 | 2.13% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 102, 2B 137, 3B 82, K 108, BB 87 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.
Result: wOBA .353 → .326; ISO .140 → .124; BABIP .345 → .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).
2021 AAALouisville Bats · 39 PAwOBA .332 → .295 (−37)K% 5.1% → 6.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 5.13% | ÷0.949 | ×1.200 | — | — | 6.49% |
| BB% (unintentional) /PA | 5.13% | ÷1.099 | ×0.690 | — | ×1.050 | 3.38% |
| HBP% /PA | 5.13% | — | ×0.940 | — | ×1.050 | 5.06% |
| Singles /BIP | 15.15% | ÷0.994 | ×0.930 | — | ×1.050 | 14.89% |
| Doubles /BIP | 9.09% | ÷0.945 | ×0.830 | — | ×1.050 | 8.38% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | — | ×1.050 | 0.00% |
| Home runs /BIP | 3.03% | ÷1.088 | ×0.700 | — | ×1.050 | 2.05% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 118, 1B 99, 2B 89, 3B 80, K 90, BB 120 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average).
Result: wOBA .332 → .295; ISO .171 → .138; BABIP .250 → .238. 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+Daytona Tortugas · 381 PAwOBA .301 → .263 (−39)K% 11.3% → 16.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.29% | ÷0.985 | ×1.420 | — | — | 16.27% |
| BB% (unintentional) /PA | 4.46% | ÷1.016 | ×0.750 | — | ×1.027 | 3.38% |
| HBP% /PA | 3.15% | — | ×0.930 | — | ×1.027 | 3.01% |
| Singles /BIP | 25.67% | ÷0.965 | ×0.920 | ×0.950 | ×1.027 | 23.87% |
| Doubles /BIP | 3.33% | ÷1.042 | ×0.960 | ×0.950 | ×1.027 | 3.00% |
| Triples /BIP | 2.33% | ÷1.150 | ×0.810 | ×0.950 | ×1.027 | 1.60% |
| Home runs /BIP | 0.33% | ÷1.101 | ×0.880 | — | ×1.027 | 0.27% |
Factors used: league row FSL. Park (home-season share, regressed): HR 120, 1B 93, 2B 108, 3B 130, K 97, BB 103 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .301 → .263; ISO .079 → .060; BABIP .310 → .282. 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 ADayton Dragons · 417 PAwOBA .310 → .272 (−38)K% 13.7% → 18.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.67% | ÷0.987 | ×1.360 | — | — | 18.83% |
| BB% (unintentional) /PA | 3.36% | ÷1.097 | ×0.690 | — | ×1.030 | 2.17% |
| HBP% /PA | 2.64% | — | ×0.780 | — | ×1.030 | 2.12% |
| Singles /BIP | 26.01% | ÷1.019 | ×0.920 | ×0.979 | ×1.030 | 23.68% |
| Doubles /BIP | 6.50% | ÷0.942 | ×0.830 | ×0.979 | ×1.030 | 5.77% |
| Triples /BIP | 1.55% | ÷0.900 | ×0.910 | ×0.979 | ×1.030 | 1.58% |
| Home runs /BIP | 0.31% | ÷1.103 | ×0.800 | — | ×1.030 | 0.23% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 88, 3B 80, K 97, BB 119 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.
Result: wOBA .310 → .272; ISO .089 → .081; BABIP .336 → .306. 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 — .