Kenedy Corona
CF Scranton/Wilkes-Barre RailRiders| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2024 | 24 | AAA/AA/INTL2 orgs | 442 | .217/.319/.288 | 3 | 27 | 53 | — | .195/.275/.266 |
| 2025 | 25 | AAA/INTL2 orgs | 483 | .209/.300/.314 | 8 | 20 | 52 | — | .204/.268/.291 |
| 2026 | 26 | AAA/AA2 orgs | 370 | .255/.352/.427 | 12 | 23 | 77 | — | .227/.302/.359 |
| 2027PROJ10% MLB | 27 | MLBNYY | 16 | .209/.279/.319 | 0 | 1 | 68 | -0.0 | |
| 2028PROJ31% MLB | 28 | MLBNYY | 69 | .210/.280/.319 | 1 | 3 | 68 | -0.1 |
Tools · ContractCON 40 / POW 40
Career Stats + Projections
Methodology▸ how these numbers are built
All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2019 | 19 | ROK | GCL Mets | — | 257 | 216 | 66 | 14 | 4 | 5 | 26 | 34 | 8 | 19 | 5 | 306 | 400 | 477 | 877 | 171 | 339 | 13 | 10 | 380 | 74 | — | — | — | — | — | — |
| 2020 | 20 | INTL | Aguilas del Zulia | — | 27 | 22 | 7 | 1 | 0 | 1 | 4 | 8 | 0 | 0 | 0 | 318 | 423 | 500 | 923 | 182 | 462 | 30 | 15 | 396 | 154 | — | — | — | — | — | — |
| 2021 | 21 | A | Fayetteville Woodpeckers | — | 224 | 201 | 49 | 12 | 1 | 2 | 14 | 53 | 5 | 19 | 7 | 244 | 309 | 343 | 652 | 100 | 318 | 24 | 6 | 292 | 39 | — | — | — | — | — | — |
| 2021 | 21 | INTL | Aguilas del Zulia | — | 86 | 79 | 23 | 5 | 0 | 2 | 4 | 23 | 2 | 1 | 2 | 291 | 337 | 430 | 768 | 139 | 389 | 27 | 5 | 341 | 117 | — | — | — | — | — | — |
| 2022 | 22 | A+ | Asheville Tourists | — | 279 | 245 | 71 | 15 | 3 | 10 | 28 | 63 | 5 | 20 | 6 | 290 | 374 | 498 | 872 | 208 | 353 | 23 | 10 | 384 | 78 | — | — | — | — | — | — |
| 2022 | 22 | A | Fayetteville Woodpeckers | — | 188 | 165 | 43 | 9 | 1 | 9 | 21 | 43 | 1 | 8 | 2 | 261 | 348 | 491 | 839 | 230 | 298 | 23 | 11 | 367 | 78 | — | — | — | — | — | — |
| 2022 | 22 | INTL | Aguilas del Zulia | — | 89 | 81 | 15 | 1 | 0 | 1 | 7 | 23 | 0 | 1 | 3 | 185 | 250 | 235 | 485 | 49 | 241 | 26 | 8 | 225 | 38 | — | — | — | — | — | — |
| 2023 | 23 | AA | Corpus Christi Hooks | — | 491 | 434 | 106 | 21 | 4 | 20 | 48 | 127 | 5 | 31 | 9 | 244 | 326 | 449 | 776 | 205 | 297 | 26 | 10 | 341 | 64 | — | — | — | — | — | — |
| 2023 | 23 | A+ | Asheville Tourists | — | 29 | 25 | 9 | 0 | 0 | 2 | 4 | 9 | 0 | 1 | 1 | 360 | 448 | 600 | 1.048 | 240 | 500 | 31 | 14 | 458 | 102 | — | — | — | — | — | — |
| 2023 | 23 | INTL | Mesa Solar Sox | — | 27 | 25 | 6 | 2 | 0 | 0 | 2 | 6 | 0 | 2 | 0 | 240 | 296 | 320 | 616 | 80 | 316 | 22 | 7 | 281 | 76 | — | — | — | — | — | — |
| 2024 | 24 | AAA | Sugar Land Space Cowboys | — | 71 | 63 | 12 | 1 | 0 | 1 | 5 | 19 | 1 | 3 | 1 | 190 | 261 | 254 | 515 | 63 | 250 | 27 | 7 | 234 | 26 | — | — | — | — | — | — |
| 2024 | 24 | AA | Corpus Christi Hooks | — | 325 | 279 | 61 | 12 | 2 | 2 | 34 | 77 | 11 | 24 | 5 | 219 | 327 | 297 | 625 | 79 | 294 | 24 | 10 | 293 | 54 | — | — | — | — | — | — |
| 2024 | 24 | INTL | Aguilas del Zulia | — | 46 | 40 | 10 | 1 | 0 | 0 | 5 | 10 | 1 | 0 | 1 | 250 | 348 | 275 | 623 | 25 | 333 | 22 | 11 | 297 | 87 | — | — | — | — | — | — |
| 2025 | 25 | AAA | Sugar Land Space Cowboys | — | 433 | 377 | 83 | 13 | 3 | 7 | 46 | 101 | 3 | 18 | 5 | 220 | 310 | 326 | 636 | 106 | 280 | 23 | 11 | 288 | 55 | — | — | — | — | — | — |
| 2025 | 25 | INTL | Aguilas del Zulia | — | 50 | 44 | 5 | 1 | 0 | 1 | 5 | 14 | 1 | 2 | 0 | 114 | 220 | 205 | 425 | 91 | 138 | 28 | 10 | 206 | 26 | — | — | — | — | — | — |
| 2026 | 26 | AAA | Scranton/Wilkes-Barre RailRiders | — | 283 | 238 | 61 | 13 | 1 | 9 | 34 | 62 | 3 | 16 | 6 | 256 | 356 | 433 | 789 | 176 | 308 | 22 | 12 | 344 | 78 | — | — | — | — | — | — |
| 2026 | 26 | AA | Somerset Patriots | — | 87 | 76 | 19 | 3 | 0 | 3 | 8 | 21 | 2 | 7 | 0 | 250 | 337 | 408 | 745 | 158 | 302 | 24 | 9 | 332 | 74 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2019 | 19 | ROK MLE | GCL Mets | — | 257 | 226 | 52 | 10 | 3 | 4 | 16 | 49 | 8 | 19 | 5 | 230 | 304 | 354 | 658 | 124 | 255 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | Fayetteville Woodpeckers | — | 224 | 205 | 40 | 9 | 1 | 1 | 10 | 72 | 5 | 19 | 7 | 195 | 250 | 263 | 513 | 68 | 281 | 32 | 4 | 226 | 39 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | Asheville Tourists | — | 279 | 255 | 55 | 10 | 3 | 8 | 18 | 89 | 5 | 20 | 6 | 216 | 281 | 373 | 653 | 157 | 292 | 32 | 6 | 284 | 78 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Fayetteville Woodpeckers | — | 188 | 172 | 35 | 7 | 1 | 7 | 14 | 60 | 1 | 8 | 2 | 203 | 267 | 378 | 645 | 174 | 267 | 32 | 7 | 283 | 78 | — | — | — | — | — | — |
| 2023 | 23 | AA MLE | Corpus Christi Hooks | — | 491 | 449 | 89 | 18 | 4 | 12 | 33 | 148 | 5 | 31 | 9 | 198 | 261 | 336 | 597 | 138 | 261 | 30 | 7 | 263 | 64 | — | — | — | — | — | — |
| 2023 | 23 | A+ MLE | Asheville Tourists | — | 29 | 27 | 7 | 0 | 0 | 1 | 2 | 12 | 0 | 1 | 1 | 259 | 310 | 370 | 681 | 111 | 431 | 41 | 7 | 319 | 102 | — | — | — | — | — | — |
| 2024 | 24 | AAA MLE | Sugar Land Space Cowboys | — | 71 | 64 | 12 | 1 | 0 | 1 | 4 | 23 | 1 | 3 | 1 | 188 | 246 | 250 | 496 | 62 | 243 | 32 | 6 | 207 | 26 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | Corpus Christi Hooks | — | 325 | 290 | 57 | 11 | 2 | 2 | 23 | 94 | 11 | 24 | 5 | 197 | 281 | 269 | 550 | 72 | 277 | 29 | 7 | 248 | 54 | — | — | — | — | — | — |
| 2025 | 25 | AAA MLE | Sugar Land Space Cowboys | — | 433 | 392 | 80 | 13 | 3 | 5 | 31 | 122 | 3 | 18 | 5 | 204 | 268 | 291 | 558 | 87 | 274 | 28 | 7 | 249 | 55 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | Scranton/Wilkes-Barre RailRiders | — | 283 | 248 | 56 | 11 | 1 | 7 | 24 | 74 | 3 | 16 | 6 | 226 | 302 | 363 | 665 | 137 | 276 | 26 | 8 | 283 | 78 | — | — | — | — | — | — |
| 2026 | 26 | AA MLE | Somerset Patriots | — | 87 | 78 | 18 | 3 | 0 | 2 | 6 | 26 | 2 | 7 | 0 | 231 | 302 | 346 | 648 | 115 | 285 | 30 | 7 | 277 | 74 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | GCL Mets | — | 257 | 226 | 52 | 10 | 3 | 4 | 16 | 49 | 8 | 19 | 5 | 230 | 304 | 354 | 658 | 124 | 273 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2019 | 19 | ROK RAW | GCL Mets | — | 257 | 216 | 66 | 14 | 4 | 5 | 26 | 34 | 8 | 19 | 5 | 306 | 400 | 477 | 877 | 171 | 339 | 13 | 10 | 380 | 74 | — | — | — | — | — | — |
| 2020 | 20 | INTL MLE | Aguilas del Zulia | — | 27 | 22 | 7 | 1 | 0 | 1 | 4 | 8 | 0 | 0 | 0 | 318 | 423 | 500 | 923 | 182 | 462 | 30 | 15 | — | — | — | — | — | — | — | — |
| 2020 | 20 | INTL RAW | Aguilas del Zulia | — | 27 | 22 | 7 | 1 | 0 | 1 | 4 | 8 | 0 | 0 | 0 | 318 | 423 | 500 | 923 | 182 | 462 | 30 | 15 | 396 | 154 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 310 | 285 | 56 | 12 | 1 | 2 | 14 | 100 | 7 | 20 | 9 | 196 | 252 | 267 | 518 | 70 | 292 | 32 | 5 | 226 | 39 | — | — | — | — | — | — |
| 2021 | 21 | A RAW | 2 teams | — | 310 | 280 | 72 | 17 | 1 | 4 | 18 | 76 | 7 | 20 | 9 | 257 | 317 | 368 | 685 | 111 | 337 | 25 | 6 | 306 | 39 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 3 teams | — | 556 | 509 | 107 | 20 | 4 | 18 | 38 | 177 | 6 | 29 | 11 | 210 | 273 | 371 | 644 | 161 | 281 | 32 | 7 | 284 | 78 | — | — | — | — | — | — |
| 2022 | 22 | A+ RAW | 3 teams | — | 556 | 491 | 129 | 25 | 4 | 20 | 56 | 129 | 6 | 29 | 11 | 263 | 345 | 452 | 798 | 189 | 316 | 23 | 10 | 353 | 78 | — | — | — | — | — | — |
| 2023 | 23 | AA MLE | 3 teams | — | 547 | 500 | 101 | 19 | 4 | 14 | 38 | 168 | 5 | 34 | 10 | 202 | 265 | 340 | 605 | 138 | 271 | 31 | 7 | 266 | 66 | — | — | — | — | — | — |
| 2023 | 23 | AA RAW | 3 teams | — | 547 | 484 | 121 | 23 | 4 | 22 | 54 | 142 | 5 | 34 | 10 | 250 | 331 | 450 | 782 | 200 | 307 | 26 | 10 | 344 | 66 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | 3 teams | — | 442 | 396 | 76 | 13 | 2 | 3 | 30 | 130 | 13 | 27 | 7 | 192 | 271 | 258 | 529 | 66 | 275 | 29 | 7 | 241 | 49 | — | — | — | — | — | — |
| 2024 | 24 | AA RAW | 3 teams | — | 442 | 382 | 83 | 14 | 2 | 3 | 44 | 106 | 13 | 27 | 7 | 217 | 319 | 288 | 607 | 71 | 291 | 24 | 10 | 284 | 49 | — | — | — | — | — | — |
| 2025 | 25 | AAA MLE | 2 teams | — | 483 | 437 | 90 | 14 | 4 | 6 | 35 | 136 | 4 | 20 | 5 | 206 | 271 | 297 | 568 | 92 | 283 | 28 | 7 | 249 | 55 | — | — | — | — | — | — |
| 2025 | 25 | AAA RAW | 2 teams | — | 483 | 421 | 88 | 14 | 3 | 8 | 51 | 115 | 4 | 20 | 5 | 209 | 300 | 314 | 614 | 105 | 267 | 24 | 11 | 280 | 55 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 370 | 327 | 73 | 14 | 1 | 9 | 29 | 100 | 5 | 23 | 6 | 223 | 296 | 355 | 651 | 131 | 290 | 27 | 8 | 282 | 77 | — | — | — | — | — | — |
| 2026 | 26 | AAA RAW | 2 teams | — | 370 | 314 | 80 | 16 | 1 | 12 | 42 | 83 | 5 | 23 | 6 | 255 | 352 | 427 | 779 | 172 | 306 | 22 | 11 | 341 | 77 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | GCL Mets | — | 257 | 231 | 52 | 10 | 3 | 4 | 16 | 49 | 8 | 19 | 5 | 225 | 304 | 346 | 650 | 121 | 255 | 19 | 6 | 278 | 74 | — | — | — | — | — | — |
| 2021 | 21 | A MLE | 2 teams | — | 310 | 286 | 56 | 12 | 1 | 2 | 14 | 100 | 7 | 20 | 9 | 196 | 252 | 266 | 517 | 70 | 281 | 32 | 5 | 226 | 39 | — | — | — | — | — | — |
| 2022 | 22 | A+ MLE | 3 teams | — | 556 | 507 | 107 | 20 | 4 | 18 | 38 | 177 | 6 | 29 | 11 | 211 | 273 | 373 | 646 | 162 | 282 | 32 | 7 | 284 | 78 | — | — | — | — | — | — |
| 2023 | 23 | AA MLE | 3 teams | — | 547 | 499 | 101 | 19 | 4 | 14 | 38 | 168 | 5 | 34 | 10 | 202 | 265 | 341 | 606 | 138 | 270 | 31 | 7 | 266 | 66 | — | — | — | — | — | — |
| 2024 | 24 | AA MLE | 3 teams | — | 442 | 396 | 76 | 13 | 2 | 3 | 30 | 130 | 13 | 27 | 7 | 192 | 271 | 258 | 529 | 66 | 271 | 29 | 7 | 241 | 49 | — | — | — | — | — | — |
| 2025 | 25 | AAA MLE | 2 teams | — | 483 | 441 | 90 | 14 | 4 | 6 | 35 | 136 | 4 | 20 | 5 | 204 | 271 | 295 | 566 | 91 | 274 | 28 | 7 | 249 | 55 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 370 | 333 | 73 | 14 | 1 | 9 | 29 | 100 | 5 | 23 | 6 | 219 | 296 | 348 | 645 | 129 | 278 | 27 | 8 | 282 | 77 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 24 | AA MLE | 3 teams | — | 442 | 396 | 76 | 13 | 2 | 3 | 30 | 130 | 13 | 27 | 7 | 192 | 271 | 258 | 529 | 66 | 271 | 29 | 7 | 241 | 49 | — | — | — | — | — | — |
| 2025 | 25 | AAA MLE | 2 teams | — | 483 | 441 | 90 | 14 | 4 | 6 | 35 | 136 | 4 | 20 | 5 | 204 | 271 | 295 | 566 | 91 | 274 | 28 | 7 | 249 | 55 | — | — | — | — | — | — |
| 2026 | 26 | AAA MLE | 2 teams | — | 370 | 333 | 73 | 14 | 1 | 9 | 29 | 100 | 5 | 23 | 6 | 219 | 296 | 348 | 645 | 129 | 278 | 27 | 8 | 282 | 77 | — | — | — | — | — | — |
| ▸ 2027 season | |||||||||||||||||||||||||||||||
| ▸ 2027 — full MLE projection (neutral park, full availability) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB MLE | NYY | 10% | 380 | 343 | 72 | 13 | 2 | 7 | 29 | 103 | 5 | 16 | 4 | 209 | 279 | 314 | 593 | 106 | 275 | 27 | 8 | 269 | 68 | -14 | +2 | -0 | +1 | +8 | 0.0 |
| ▸ 2027 — real world (MLB) | |||||||||||||||||||||||||||||||
| 2027 | 27 | MLB CTX | NYY | 10% | 16 | 15 | 3 | 1 | 0 | 0 | 1 | 4 | 0 | 1 | 0 | 209 | 279 | 319 | 598 | 109 | 275 | 25 | 6 | 271 | 68 | -1 | +0 | -0 | +0 | +0 | -0.0 |
| ▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%) | |||||||||||||||||||||||||||||||
| 2028 | 28 | MLB MLE | NYY | 31% | 222 | 200 | 42 | 8 | 1 | 4 | 17 | 60 | 3 | 8 | 2 | 209 | 279 | 315 | 593 | 106 | 275 | 27 | 8 | 269 | 68 | -8 | +1 | -1 | +1 | +5 | -0.3 |
| 2028 | 28 | MLB CTX | NYY | 31% | 69 | 63 | 12 | 2 | 0 | 1 | 5 | 19 | 1 | 3 | 1 | 210 | 280 | 319 | 599 | 109 | 275 | 28 | 7 | 271 | 68 | -3 | +0 | -0 | +0 | +1 | -0.1 |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 69 | 63 | 12 | 2 | 0 | 1 | 5 | 19 | 1 | 3 | 1 | 190 | 261 | 270 | 531 | 79 | 256 | 28 | 7 | 271 | 62 | -3 | +0 | -0 | +0 | +1 | -0.1 | |
| / 162G | — | A+C | — | 650 | 593 | 113 | 19 | 0 | 9 | 47 | 179 | 9 | 28 | 9 | 191 | 260 | 268 | 528 | 78 | 257 | 28 | 7 | 271 | 62 | -24 | +2 | -2 | +2 | +14 | -0.8 | |
| Career | — | MLE | — | 3369 | 3042 | 633 | 116 | 21 | 64 | 233 | 970 | 53 | 186 | 57 | 208 | 276 | 323 | 599 | 115 | 281 | 29 | 7 | 260 | 62 | -14 | +1 | -1 | +1 | +8 | -0.4 | |
| / 162G | — | MLE | — | 650 | 587 | 121 | 22 | 4 | 12 | 45 | 187 | 10 | 36 | 11 | 206 | 274 | 319 | 593 | 112 | 278 | 29 | 7 | 260 | 62 | -25 | +2 | -1 | +2 | +14 | -0.7 | |
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 AAAScranton/Wilkes-Barre RailRiders · 283 PAwOBA .338 → .283 (−54)K% 21.9% → 26.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.91% | ÷1.000 | ×1.200 | — | — | 26.29% |
| BB% (unintentional) /PA | 12.01% | ÷1.000 | ×0.690 | — | ×1.018 | 8.44% |
| HBP% /PA | 1.06% | — | ×0.940 | — | ×1.018 | 1.01% |
| Singles /BIP | 21.59% | ÷1.000 | ×0.930 | ×0.987 | ×1.018 | 20.17% |
| Doubles /BIP | 7.39% | ÷1.000 | ×0.830 | ×0.987 | ×1.018 | 6.16% |
| Triples /BIP | 0.57% | ÷1.000 | ×0.970 | ×0.987 | ×1.018 | 0.55% |
| Home runs /BIP | 5.11% | ÷1.000 | ×0.700 | — | ×1.018 | 3.64% |
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 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 ×0.987.
Result: wOBA .338 → .283; ISO .176 → .139; BABIP .308 → .276. 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).
2026 AASomerset Patriots · 87 PAwOBA .327 → .277 (−51)K% 24.1% → 29.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.14% | ÷1.000 | ×1.220 | — | — | 29.45% |
| BB% (unintentional) /PA | 9.20% | ÷1.000 | ×0.700 | — | ×0.988 | 6.36% |
| HBP% /PA | 2.30% | — | ×0.850 | — | ×0.988 | 1.93% |
| Singles /BIP | 23.64% | ÷1.000 | ×0.970 | ×1.020 | ×0.988 | 23.10% |
| Doubles /BIP | 5.45% | ÷1.000 | ×0.860 | ×1.020 | ×0.988 | 4.73% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.950 | ×1.020 | ×0.988 | 0.00% |
| Home runs /BIP | 5.45% | ÷1.000 | ×0.780 | — | ×0.988 | 4.20% |
Factors used: league row EL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.020.
Result: wOBA .327 → .277; ISO .158 → .124; BABIP .302 → .285. 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 AAASugar Land Space Cowboys · 433 PAwOBA .282 → .249 (−33)K% 23.3% → 28.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.33% | ÷0.995 | ×1.200 | — | — | 28.15% |
| BB% (unintentional) /PA | 10.62% | ÷1.056 | ×0.690 | — | ×1.033 | 7.17% |
| HBP% /PA | 0.69% | — | ×0.940 | — | ×1.033 | 0.67% |
| Singles /BIP | 21.74% | ÷1.012 | ×0.930 | ×1.028 | ×1.033 | 21.20% |
| Doubles /BIP | 4.71% | ÷0.891 | ×0.830 | ×1.028 | ×1.033 | 4.66% |
| Triples /BIP | 1.09% | ÷0.900 | ×0.970 | ×1.028 | ×1.033 | 1.24% |
| Home runs /BIP | 2.54% | ÷0.961 | ×0.700 | — | ×1.033 | 1.91% |
Factors used: league row International League. Park (home-season share, regressed): HR 92, 1B 102, 2B 78, 3B 80, K 99, BB 111 — 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 ×1.028.
Result: wOBA .282 → .249; ISO .106 → .095; BABIP .280 → .274. 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 AACorpus Christi Hooks · 325 PAwOBA .285 → .248 (−37)K% 23.7% → 28.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.69% | ÷1.003 | ×1.220 | — | — | 28.83% |
| BB% (unintentional) /PA | 9.85% | ÷0.974 | ×0.700 | — | ×1.012 | 7.16% |
| HBP% /PA | 3.38% | — | ×0.870 | — | ×1.012 | 2.98% |
| Singles /BIP | 22.28% | ÷0.968 | ×0.920 | ×0.986 | ×1.012 | 21.12% |
| Doubles /BIP | 5.94% | ÷0.908 | ×0.840 | ×0.986 | ×1.012 | 5.49% |
| Triples /BIP | 0.99% | ÷0.908 | ×0.940 | ×0.986 | ×1.012 | 1.02% |
| Home runs /BIP | 0.99% | ÷0.970 | ×0.800 | — | ×1.012 | 0.83% |
Factors used: league row TL. Park (home-season share, regressed): HR 94, 1B 94, 2B 82, 3B 82, K 101, BB 95 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.986.
Result: wOBA .285 → .248; ISO .079 → .071; BABIP .294 → .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).
2024 AAASugar Land Space Cowboys · 71 PAwOBA .232 → .207 (−24)K% 26.8% → 31.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.76% | ÷1.006 | ×1.200 | — | — | 31.93% |
| BB% (unintentional) /PA | 7.04% | ÷1.022 | ×0.690 | — | ×1.048 | 4.98% |
| HBP% /PA | 1.41% | — | ×0.940 | — | ×1.048 | 1.39% |
| Singles /BIP | 22.73% | ÷1.035 | ×0.930 | ×1.038 | ×1.048 | 22.21% |
| Doubles /BIP | 2.27% | ÷0.953 | ×0.830 | ×1.038 | ×1.048 | 2.15% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×1.038 | ×1.048 | 0.00% |
| Home runs /BIP | 2.27% | ÷0.903 | ×0.700 | — | ×1.048 | 1.85% |
Factors used: league row International League. Park (home-season share, regressed): HR 81, 1B 107, 2B 91, 3B 80, K 101, BB 104 — 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 ×1.038.
Result: wOBA .232 → .207; ISO .063 → .053; BABIP .250 → .243. 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 AACorpus Christi Hooks · 491 PAwOBA .333 → .263 (−70)K% 25.9% → 30.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.87% | ÷1.049 | ×1.220 | — | — | 30.09% |
| BB% (unintentional) /PA | 9.57% | ÷1.011 | ×0.700 | — | ×1.027 | 6.81% |
| HBP% /PA | 1.02% | — | ×0.870 | — | ×1.027 | 0.91% |
| Singles /BIP | 19.87% | ÷1.018 | ×0.920 | ×0.984 | ×1.027 | 18.13% |
| Doubles /BIP | 6.84% | ÷0.975 | ×0.840 | ×0.984 | ×1.027 | 5.95% |
| Triples /BIP | 1.30% | ÷1.058 | ×0.940 | ×0.984 | ×1.027 | 1.17% |
| Home runs /BIP | 6.51% | ÷1.322 | ×0.800 | — | ×1.027 | 4.05% |
Factors used: league row TL. Park (home-season share, regressed): HR 164, 1B 104, 2B 95, 3B 112, K 110, BB 102 — 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 ×0.984.
Result: wOBA .333 → .263; ISO .205 → .144; BABIP .297 → .261. 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+Asheville Tourists · 29 PAwOBA .446 → .319 (−127)K% 31.0% → 41.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.03% | ÷0.971 | ×1.310 | — | — | 41.87% |
| BB% (unintentional) /PA | 13.79% | ÷1.033 | ×0.600 | — | ×0.998 | 8.00% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.998 | 0.00% |
| Singles /BIP | 43.75% | ÷0.968 | ×0.870 | — | ×0.998 | 39.25% |
| Doubles /BIP | 0.00% | ÷1.099 | ×0.780 | — | ×0.998 | 0.00% |
| Triples /BIP | 0.00% | ÷0.980 | ×0.850 | — | ×0.998 | 0.00% |
| Home runs /BIP | 12.50% | ÷1.218 | ×0.880 | — | ×0.998 | 9.01% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 144, 1B 94, 2B 120, 3B 96, K 94, BB 107 — 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 .446 → .319; ISO .240 → .157; BABIP .500 → .431. 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+Asheville Tourists · 279 PAwOBA .374 → .284 (−89)K% 22.6% → 31.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.58% | ÷0.927 | ×1.310 | — | — | 31.92% |
| BB% (unintentional) /PA | 9.68% | ÷0.933 | ×0.600 | — | ×1.012 | 6.30% |
| HBP% /PA | 1.79% | — | ×0.770 | — | ×1.012 | 1.40% |
| Singles /BIP | 23.63% | ÷1.031 | ×0.870 | ×1.014 | ×1.012 | 20.47% |
| Doubles /BIP | 8.24% | ÷1.131 | ×0.780 | ×1.014 | ×1.012 | 5.84% |
| Triples /BIP | 1.65% | ÷0.900 | ×0.850 | ×1.014 | ×1.012 | 1.60% |
| Home runs /BIP | 5.49% | ÷0.972 | ×0.880 | — | ×1.012 | 5.04% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 94, 1B 106, 2B 126, 3B 80, K 85, BB 87 — 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 ×1.014.
Result: wOBA .374 → .284; ISO .208 → .166; BABIP .353 → .292. 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 — .