Kean Wong
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2021 | 26 | AAALAA | 203 | .339/.384/.476 | 4 | 10 | 106 | — | .308/.335/.421 | |
| 2021 | 26 | MLBLAA | 66 | .167/.194/.233 | 0 | 0 | 10 | -0.5 | ||
| 2022 | 27 | AAA/INTL2 orgs | 598 | .259/.348/.328 | 3 | 43 | 68 | — | .237/.295/.292 | |
| 2023 | 28 | AAACWS | 174 | .270/.379/.405 | 5 | 5 | 80 | — | .236/.310/.318 | |
| 2024 | 29 | No MLB games played | ||||||||
| 2025 | 30 | No MLB games played | ||||||||
| 2026 | 31 | No MLB games played | ||||||||
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) | |||||||||||||||||||||||||||||||
| 2013 | 18 | ROK | GCL Rays | — | 194 | 177 | 58 | 7 | 2 | 0 | 11 | 22 | 3 | 7 | 1 | 328 | 377 | 390 | 767 | 62 | 374 | 11 | 6 | 342 | 70 | — | — | — | — | — | — |
| 2014 | 19 | A | Bowling Green Hot Rods | — | 454 | 422 | 129 | 15 | 3 | 2 | 27 | 73 | 1 | 13 | 7 | 306 | 349 | 370 | 719 | 64 | 364 | 16 | 6 | 323 | 86 | — | — | — | — | — | — |
| 2015 | 20 | A+ | Charlotte Stone Crabs | — | 438 | 394 | 108 | 14 | 3 | 1 | 29 | 65 | 0 | 15 | 6 | 274 | 324 | 332 | 656 | 58 | 320 | 15 | 7 | 289 | 70 | — | — | — | — | — | — |
| 2016 | 21 | AA | Montgomery Biscuits | — | 492 | 446 | 123 | 22 | 2 | 5 | 31 | 72 | 2 | 10 | 10 | 276 | 326 | 368 | 693 | 92 | 317 | 15 | 6 | 305 | 80 | — | — | — | — | — | — |
| 2016 | 21 | INTL | Peoria Javelinas | — | 90 | 80 | 25 | 4 | 0 | 0 | 9 | 11 | 1 | 4 | 2 | 312 | 389 | 362 | 751 | 50 | 362 | 12 | 10 | 346 | 120 | — | — | — | — | — | — |
| 2017 | 22 | AAA | Durham Bulls | — | 417 | 377 | 100 | 21 | 0 | 5 | 34 | 78 | 2 | 14 | 9 | 265 | 329 | 361 | 690 | 95 | 321 | 19 | 8 | 311 | 74 | — | — | — | — | — | — |
| 2017 | 22 | AA | Montgomery Biscuits | — | 49 | 45 | 10 | 1 | 0 | 0 | 3 | 9 | 0 | 3 | 0 | 222 | 271 | 244 | 515 | 22 | 278 | 18 | 6 | 235 | 26 | — | — | — | — | — | — |
| 2018 | 23 | AAA | Durham Bulls | — | 502 | 451 | 127 | 23 | 3 | 9 | 40 | 112 | 5 | 7 | 3 | 282 | 347 | 406 | 753 | 124 | 354 | 22 | 8 | 335 | 84 | — | — | — | — | — | — |
| 2019 | 24 | MLB | Los Angeles Angels | — | 18 | 18 | 3 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 1 | 167 | 167 | 167 | 333 | 250 | 33 | 0 | 151 | -12 | -2 | -0 | -0 | +2 | +0 | -0.1 | |
| 2019 | 24 | AAA | Durham Bulls | — | 506 | 453 | 139 | 29 | 6 | 10 | 42 | 112 | 8 | 6 | 3 | 307 | 376 | 464 | 839 | 157 | 389 | 22 | 8 | 372 | 101 | — | — | — | — | — | — |
| 2021 | 26 | MLB | Los Angeles Angels | — | 66 | 60 | 10 | 2 | 1 | 0 | 2 | 17 | 0 | 0 | 1 | 167 | 194 | 233 | 427 | 67 | 233 | 26 | 3 | 181 | 10 | -7 | -0 | +1 | +1 | +1 | -0.5 |
| 2021 | 26 | AAA | Salt Lake Bees | — | 203 | 189 | 64 | 10 | 2 | 4 | 14 | 32 | 0 | 10 | 3 | 339 | 384 | 476 | 860 | 138 | 392 | 16 | 7 | 382 | 106 | — | — | — | — | — | — |
| 2022 | 27 | AAA | Salt Lake Bees | — | 565 | 497 | 130 | 18 | 4 | 3 | 61 | 125 | 2 | 41 | 6 | 262 | 345 | 332 | 677 | 70 | 340 | 22 | 11 | 309 | 66 | — | — | — | — | — | — |
| 2022 | 27 | INTL | Naranjeros de Hermosillo | — | 33 | 24 | 5 | 1 | 0 | 0 | 7 | 5 | 1 | 2 | 0 | 208 | 406 | 250 | 656 | 42 | 250 | 15 | 21 | 319 | 102 | — | — | — | — | — | — |
| 2023 | 28 | AAA | Charlotte Knights | — | 174 | 148 | 40 | 5 | 0 | 5 | 24 | 33 | 2 | 5 | 2 | 270 | 379 | 405 | 785 | 135 | 318 | 19 | 14 | 357 | 80 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 84 | 78 | 13 | 2 | 1 | 0 | 2 | 23 | 0 | 0 | 2 | 167 | 188 | 218 | 405 | 51 | 236 | 27 | 2 | 174 | 4 | -10 | -1 | +0 | +3 | +2 | -0.6 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 18 | ROK MLE | GCL Rays | — | 194 | 181 | 49 | 5 | 2 | 0 | 7 | 32 | 3 | 7 | 1 | 271 | 309 | 320 | 629 | 50 | 321 | 16 | 4 | 271 | 70 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Bowling Green Hot Rods | — | 454 | 431 | 127 | 14 | 3 | 2 | 18 | 100 | 1 | 13 | 7 | 295 | 324 | 355 | 679 | 60 | 373 | 22 | 4 | 296 | 86 | — | — | — | — | — | — |
| 2015 | 20 | A+ MLE | Charlotte Stone Crabs | — | 438 | 400 | 106 | 14 | 2 | 1 | 23 | 94 | 0 | 15 | 6 | 265 | 305 | 318 | 622 | 52 | 324 | 21 | 5 | 272 | 70 | — | — | — | — | — | — |
| 2016 | 21 | AA MLE | Montgomery Biscuits | — | 492 | 455 | 124 | 21 | 2 | 4 | 22 | 90 | 2 | 10 | 10 | 273 | 309 | 354 | 663 | 81 | 319 | 18 | 4 | 286 | 80 | — | — | — | — | — | — |
| 2017 | 22 | AAA MLE | Durham Bulls | — | 417 | 386 | 96 | 19 | 0 | 4 | 25 | 91 | 2 | 14 | 9 | 249 | 298 | 329 | 627 | 80 | 310 | 22 | 6 | 277 | 74 | — | — | — | — | — | — |
| 2017 | 22 | AA MLE | Montgomery Biscuits | — | 49 | 46 | 9 | 1 | 0 | 0 | 2 | 11 | 0 | 3 | 0 | 196 | 229 | 217 | 447 | 22 | 263 | 22 | 4 | 206 | 26 | — | — | — | — | — | — |
| 2018 | 23 | AAA MLE | Durham Bulls | — | 502 | 464 | 118 | 19 | 3 | 8 | 27 | 130 | 5 | 7 | 3 | 254 | 302 | 360 | 662 | 106 | 330 | 26 | 5 | 292 | 84 | — | — | — | — | — | — |
| 2019 | 24 | MLB MLE | Los Angeles Angels | — | 18 | 18 | 3 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 1 | 167 | 167 | 167 | 333 | 250 | 33 | 0 | 151 | -12 | -2 | -0 | -0 | +2 | +0 | -0.1 | |
| 2019 | 24 | AAA MLE | Durham Bulls | — | 506 | 465 | 128 | 24 | 6 | 8 | 30 | 132 | 8 | 6 | 3 | 275 | 330 | 404 | 734 | 129 | 362 | 26 | 6 | 317 | 101 | — | — | — | — | — | — |
| 2021 | 26 | MLB MLE | Los Angeles Angels | — | 66 | 60 | 10 | 2 | 1 | 0 | 2 | 17 | 0 | 0 | 1 | 167 | 194 | 233 | 427 | 67 | 233 | 26 | 3 | 182 | 10 | -7 | -0 | +1 | +1 | +1 | -0.5 |
| 2021 | 26 | AAA MLE | Salt Lake Bees | — | 203 | 195 | 60 | 9 | 2 | 3 | 8 | 39 | 0 | 10 | 3 | 308 | 335 | 421 | 755 | 113 | 367 | 19 | 4 | 325 | 106 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | Salt Lake Bees | — | 565 | 518 | 123 | 16 | 3 | 2 | 40 | 151 | 2 | 41 | 6 | 237 | 295 | 292 | 586 | 54 | 326 | 27 | 7 | 266 | 66 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Charlotte Knights | — | 174 | 157 | 37 | 4 | 0 | 3 | 15 | 41 | 2 | 5 | 2 | 236 | 310 | 318 | 629 | 83 | 303 | 24 | 9 | 286 | 80 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | GCL Rays | — | 194 | 181 | 49 | 5 | 2 | 0 | 7 | 32 | 3 | 7 | 1 | 271 | 309 | 320 | 629 | 50 | 329 | 16 | 4 | 271 | 70 | — | — | — | — | — | — |
| 2013 | 18 | ROK RAW | GCL Rays | — | 194 | 177 | 58 | 7 | 2 | 0 | 11 | 22 | 3 | 7 | 1 | 328 | 377 | 390 | 767 | 62 | 374 | 11 | 6 | 342 | 70 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Bowling Green Hot Rods | — | 454 | 431 | 127 | 14 | 3 | 2 | 18 | 100 | 1 | 13 | 7 | 295 | 324 | 355 | 679 | 60 | 378 | 22 | 4 | 296 | 86 | — | — | — | — | — | — |
| 2014 | 19 | A RAW | Bowling Green Hot Rods | — | 454 | 422 | 129 | 15 | 3 | 2 | 27 | 73 | 1 | 13 | 7 | 306 | 349 | 370 | 719 | 64 | 364 | 16 | 6 | 323 | 86 | — | — | — | — | — | — |
| 2015 | 20 | A+ MLE | Charlotte Stone Crabs | — | 438 | 400 | 106 | 14 | 2 | 1 | 23 | 94 | 0 | 15 | 6 | 265 | 305 | 318 | 622 | 52 | 338 | 21 | 5 | 272 | 70 | — | — | — | — | — | — |
| 2015 | 20 | A+ RAW | Charlotte Stone Crabs | — | 438 | 394 | 108 | 14 | 3 | 1 | 29 | 65 | 0 | 15 | 6 | 274 | 324 | 332 | 656 | 58 | 320 | 15 | 7 | 289 | 70 | — | — | — | — | — | — |
| 2016 | 21 | AA MLE | 2 teams | — | 582 | 540 | 147 | 25 | 2 | 5 | 26 | 106 | 3 | 14 | 12 | 272 | 309 | 354 | 663 | 81 | 329 | 18 | 4 | 286 | 80 | — | — | — | — | — | — |
| 2016 | 21 | AA RAW | 2 teams | — | 582 | 526 | 148 | 26 | 2 | 5 | 40 | 83 | 3 | 14 | 12 | 281 | 336 | 367 | 703 | 86 | 324 | 14 | 7 | 311 | 80 | — | — | — | — | — | — |
| 2017 | 22 | AAA MLE | 2 teams | — | 466 | 432 | 106 | 20 | 0 | 4 | 27 | 102 | 2 | 17 | 9 | 245 | 293 | 319 | 612 | 74 | 311 | 22 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2017 | 22 | AAA RAW | 2 teams | — | 466 | 422 | 110 | 22 | 0 | 5 | 37 | 87 | 2 | 17 | 9 | 261 | 323 | 348 | 672 | 88 | 316 | 19 | 8 | 303 | 69 | — | — | — | — | — | — |
| 2018 | 23 | AAA MLE | Durham Bulls | — | 502 | 464 | 118 | 19 | 3 | 8 | 27 | 130 | 5 | 7 | 3 | 254 | 302 | 360 | 662 | 106 | 334 | 26 | 5 | 292 | 84 | — | — | — | — | — | — |
| 2018 | 23 | AAA RAW | Durham Bulls | — | 502 | 451 | 127 | 23 | 3 | 9 | 40 | 112 | 5 | 7 | 3 | 282 | 347 | 406 | 753 | 124 | 354 | 22 | 8 | 335 | 84 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 524 | 483 | 131 | 24 | 6 | 8 | 30 | 138 | 8 | 6 | 4 | 271 | 324 | 395 | 720 | 124 | 364 | 26 | 6 | 311 | 97 | — | — | — | — | — | — |
| 2019 | 24 | AAA RAW | 2 teams | — | 524 | 471 | 142 | 29 | 6 | 10 | 42 | 118 | 8 | 6 | 4 | 301 | 369 | 452 | 821 | 151 | 384 | 23 | 8 | 364 | 97 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 269 | 255 | 70 | 11 | 3 | 3 | 10 | 56 | 0 | 10 | 4 | 275 | 302 | 376 | 678 | 102 | 342 | 21 | 4 | 290 | 82 | — | — | — | — | — | — |
| 2021 | 26 | AAA RAW | 2 teams | — | 269 | 249 | 74 | 12 | 3 | 4 | 16 | 49 | 0 | 10 | 4 | 297 | 340 | 418 | 757 | 120 | 357 | 18 | 6 | 333 | 82 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | 2 teams | — | 598 | 547 | 131 | 17 | 4 | 2 | 42 | 160 | 3 | 43 | 6 | 239 | 297 | 296 | 593 | 57 | 331 | 27 | 7 | 266 | 66 | — | — | — | — | — | — |
| 2022 | 27 | AAA RAW | 2 teams | — | 598 | 521 | 135 | 19 | 4 | 3 | 68 | 130 | 3 | 43 | 6 | 259 | 348 | 328 | 676 | 69 | 336 | 22 | 11 | 310 | 66 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Charlotte Knights | — | 174 | 157 | 37 | 4 | 0 | 3 | 15 | 41 | 2 | 5 | 2 | 236 | 310 | 318 | 629 | 83 | 301 | 24 | 9 | 286 | 80 | — | — | — | — | — | — |
| 2023 | 28 | AAA RAW | Charlotte Knights | — | 174 | 148 | 40 | 5 | 0 | 5 | 24 | 33 | 2 | 5 | 2 | 270 | 379 | 405 | 785 | 135 | 318 | 19 | 14 | 357 | 80 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | GCL Rays | — | 194 | 182 | 49 | 5 | 2 | 0 | 7 | 32 | 3 | 7 | 1 | 269 | 309 | 319 | 628 | 49 | 321 | 16 | 4 | 271 | 70 | — | — | — | — | — | — |
| 2014 | 19 | A MLE | Bowling Green Hot Rods | — | 454 | 432 | 127 | 14 | 3 | 2 | 18 | 100 | 1 | 13 | 7 | 294 | 324 | 354 | 679 | 60 | 373 | 22 | 4 | 296 | 86 | — | — | — | — | — | — |
| 2015 | 20 | A+ MLE | Charlotte Stone Crabs | — | 438 | 412 | 106 | 14 | 2 | 1 | 23 | 94 | 0 | 15 | 6 | 257 | 305 | 308 | 613 | 51 | 324 | 21 | 5 | 272 | 70 | — | — | — | — | — | — |
| 2016 | 21 | AA MLE | 2 teams | — | 582 | 548 | 147 | 25 | 2 | 5 | 26 | 106 | 3 | 14 | 12 | 268 | 309 | 349 | 658 | 80 | 319 | 18 | 4 | 286 | 80 | — | — | — | — | — | — |
| 2017 | 22 | AAA MLE | 2 teams | — | 466 | 434 | 106 | 20 | 0 | 4 | 27 | 102 | 2 | 17 | 9 | 244 | 293 | 318 | 611 | 74 | 305 | 22 | 6 | 270 | 69 | — | — | — | — | — | — |
| 2018 | 23 | AAA MLE | Durham Bulls | — | 502 | 465 | 118 | 19 | 3 | 8 | 27 | 130 | 5 | 7 | 3 | 254 | 302 | 359 | 662 | 105 | 330 | 26 | 5 | 292 | 84 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | 2 teams | — | 524 | 481 | 131 | 24 | 6 | 8 | 30 | 138 | 8 | 6 | 4 | 272 | 324 | 397 | 721 | 125 | 358 | 26 | 6 | 311 | 97 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 269 | 257 | 70 | 11 | 3 | 3 | 10 | 56 | 0 | 10 | 4 | 272 | 302 | 374 | 675 | 101 | 334 | 21 | 4 | 290 | 82 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | 2 teams | — | 598 | 548 | 131 | 17 | 4 | 2 | 42 | 160 | 3 | 43 | 6 | 239 | 297 | 296 | 593 | 57 | 326 | 27 | 7 | 266 | 66 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Charlotte Knights | — | 174 | 155 | 37 | 4 | 0 | 3 | 15 | 41 | 2 | 5 | 2 | 239 | 310 | 323 | 633 | 84 | 303 | 24 | 9 | 286 | 80 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 84 | 78 | 13 | 2 | 1 | 0 | 2 | 23 | 0 | 0 | 2 | 167 | 188 | 218 | 405 | 51 | 236 | 27 | 2 | 174 | 79 | -10 | -1 | +0 | +3 | +2 | -0.6 | |
| / 162G | — | A+C | — | 650 | 604 | 100 | 15 | 8 | 0 | 15 | 178 | 0 | 0 | 15 | 166 | 186 | 217 | 403 | 51 | 235 | 27 | 2 | 174 | 79 | -74 | -6 | +2 | +22 | +14 | -4.3 | |
| Career | — | MLE | — | 4201 | 3890 | 1022 | 153 | 25 | 36 | 225 | 959 | 27 | 137 | 54 | 263 | 308 | 343 | 650 | 80 | 338 | 23 | 5 | 284 | 79 | -10 | -1 | +0 | +3 | +2 | -0.6 | |
| / 162G | — | MLE | — | 650 | 602 | 159 | 24 | 4 | 6 | 35 | 148 | 4 | 21 | 8 | 264 | 309 | 347 | 656 | 83 | 339 | 23 | 5 | 284 | 79 | -74 | -6 | +2 | +22 | +14 | -4.3 | |
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.
2023 AAACharlotte Knights · 174 PAwOBA .349 → .286 (−62)K% 19.0% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.97% | ÷0.978 | ×1.200 | — | — | 23.28% |
| BB% (unintentional) /PA | 13.79% | ÷1.078 | ×0.690 | — | ×0.992 | 8.76% |
| HBP% /PA | 1.15% | — | ×0.940 | — | ×0.992 | 1.07% |
| Singles /BIP | 26.09% | ÷0.967 | ×0.930 | ×1.031 | ×0.992 | 25.67% |
| Doubles /BIP | 4.35% | ÷0.971 | ×0.830 | ×1.031 | ×0.992 | 3.80% |
| Triples /BIP | 0.00% | ÷0.996 | ×0.970 | ×1.031 | ×0.992 | 0.00% |
| Home runs /BIP | 4.35% | ÷1.152 | ×0.700 | — | ×0.992 | 2.62% |
Factors used: league row International League. Park (home-season share, regressed): HR 130, 1B 93, 2B 94, 3B 99, K 96, BB 116 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.
Result: wOBA .349 → .286; ISO .135 → .092; BABIP .318 → .303. 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 AAASalt Lake Bees · 565 PAwOBA .303 → .266 (−38)K% 22.1% → 26.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.12% | ÷0.989 | ×1.200 | — | — | 26.85% |
| BB% (unintentional) /PA | 10.62% | ÷1.034 | ×0.690 | — | ×1.003 | 7.11% |
| HBP% /PA | 0.35% | — | ×0.940 | — | ×1.003 | 0.33% |
| Singles /BIP | 28.23% | ÷0.993 | ×0.930 | ×1.036 | ×1.003 | 27.46% |
| Doubles /BIP | 4.84% | ÷0.956 | ×0.830 | ×1.036 | ×1.003 | 4.36% |
| Triples /BIP | 1.08% | ÷1.150 | ×0.970 | ×1.036 | ×1.003 | 0.94% |
| Home runs /BIP | 0.81% | ÷0.978 | ×0.700 | — | ×1.003 | 0.58% |
Factors used: league row International League. Park (home-season share, regressed): HR 96, 1B 99, 2B 91, 3B 130, K 98, BB 107 — 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 ×1.036.
Result: wOBA .303 → .266; ISO .070 → .060; BABIP .340 → .326. 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 AAASalt Lake Bees · 203 PAwOBA .369 → .325 (−43)K% 15.8% → 19.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.76% | ÷0.982 | ×1.200 | — | — | 19.26% |
| BB% (unintentional) /PA | 5.91% | ÷1.090 | ×0.690 | — | ×1.018 | 3.81% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.018 | 0.00% |
| Singles /BIP | 30.57% | ÷1.032 | ×0.930 | ×1.044 | ×1.018 | 29.29% |
| Doubles /BIP | 6.37% | ÷1.002 | ×0.830 | ×1.044 | ×1.018 | 5.61% |
| Triples /BIP | 1.27% | ÷1.150 | ×0.920 | ×1.044 | ×1.018 | 1.08% |
| Home runs /BIP | 2.55% | ÷0.907 | ×0.700 | — | ×1.018 | 2.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 106, 2B 100, 3B 130, K 96, BB 118 — 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 ×1.044.
Result: wOBA .369 → .325; ISO .138 → .114; BABIP .392 → .367. 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 AAADurham Bulls · 506 PAwOBA .362 → .317 (−45)K% 22.1% → 26.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.13% | ÷1.020 | ×1.200 | — | — | 26.04% |
| BB% (unintentional) /PA | 8.10% | ÷0.998 | ×0.690 | — | ×1.048 | 5.87% |
| HBP% /PA | 1.58% | — | ×0.940 | — | ×1.048 | 1.56% |
| Singles /BIP | 27.57% | ÷0.986 | ×0.930 | ×0.977 | ×1.048 | 26.60% |
| Doubles /BIP | 8.50% | ÷1.006 | ×0.830 | ×0.977 | ×1.048 | 7.18% |
| Triples /BIP | 1.76% | ÷1.025 | ×0.970 | ×0.977 | ×1.048 | 1.70% |
| Home runs /BIP | 2.93% | ÷1.128 | ×0.840 | — | ×1.048 | 2.29% |
Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 97, 2B 101, 3B 105, K 104, BB 100 — 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 ×0.977.
Result: wOBA .362 → .317; ISO .157 → .130; BABIP .389 → .362. 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 AAADurham Bulls · 502 PAwOBA .326 → .292 (−33)K% 22.3% → 25.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.31% | ÷1.032 | ×1.200 | — | — | 25.94% |
| BB% (unintentional) /PA | 7.37% | ÷0.986 | ×0.690 | — | ×1.050 | 5.42% |
| HBP% /PA | 1.00% | — | ×0.940 | — | ×1.050 | 0.98% |
| Singles /BIP | 27.14% | ÷1.052 | ×0.930 | ×1.029 | ×1.050 | 25.94% |
| Doubles /BIP | 6.78% | ÷1.091 | ×0.830 | ×1.029 | ×1.050 | 5.58% |
| Triples /BIP | 0.88% | ÷0.993 | ×0.970 | ×1.029 | ×1.050 | 0.93% |
| Home runs /BIP | 2.65% | ÷0.970 | ×0.840 | — | ×1.050 | 2.41% |
Factors used: league row IL. Park (home-season share, regressed): HR 94, 1B 110, 2B 118, 3B 99, K 106, BB 97 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.
Result: wOBA .326 → .292; ISO .124 → .111; BABIP .354 → .330. 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).
2017 AAADurham Bulls · 417 PAwOBA .304 → .277 (−27)K% 18.7% → 21.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.71% | ÷1.027 | ×1.200 | — | — | 21.85% |
| BB% (unintentional) /PA | 8.15% | ÷0.993 | ×0.690 | — | ×1.050 | 5.95% |
| HBP% /PA | 0.48% | — | ×0.940 | — | ×1.050 | 0.47% |
| Singles /BIP | 24.75% | ÷1.025 | ×0.930 | ×1.039 | ×1.050 | 24.51% |
| Doubles /BIP | 7.02% | ÷1.008 | ×0.830 | ×1.039 | ×1.050 | 6.31% |
| Triples /BIP | 0.00% | ÷1.022 | ×0.970 | ×1.039 | ×1.050 | 0.00% |
| Home runs /BIP | 1.67% | ÷1.049 | ×0.840 | — | ×1.050 | 1.41% |
Factors used: league row IL. Park (home-season share, regressed): HR 110, 1B 105, 2B 102, 3B 104, K 105, BB 99 — applied at half strength. Age: age 22 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (5.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.
Result: wOBA .304 → .277; ISO .095 → .084; BABIP .321 → .310. 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).
2017 AAMontgomery Biscuits · 49 PAwOBA .229 → .206 (−23)K% 18.4% → 22.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.37% | ÷0.994 | ×1.220 | — | — | 22.55% |
| BB% (unintentional) /PA | 6.12% | ÷1.018 | ×0.680 | — | ×1.042 | 4.26% |
| HBP% /PA | 0.00% | — | ×0.840 | — | ×1.042 | 0.00% |
| Singles /BIP | 25.00% | ÷1.013 | ×0.920 | — | ×1.042 | 23.65% |
| Doubles /BIP | 2.78% | ÷0.986 | ×0.910 | — | ×1.042 | 2.67% |
| Triples /BIP | 0.00% | ÷1.146 | ×0.880 | — | ×1.042 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.008 | ×0.800 | — | ×1.042 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 103, 2B 97, 3B 129, K 99, BB 104 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).
Result: wOBA .229 → .206; ISO .022 → .021; BABIP .278 → .263. 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).
2016 AAMontgomery Biscuits · 492 PAwOBA .298 → .286 (−12)K% 14.6% → 18.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.63% | ÷0.982 | ×1.220 | — | — | 18.18% |
| BB% (unintentional) /PA | 6.10% | ÷0.980 | ×0.680 | — | ×1.050 | 4.44% |
| HBP% /PA | 0.41% | — | ×0.840 | — | ×1.050 | 0.36% |
| Singles /BIP | 25.13% | ÷0.982 | ×0.920 | ×1.038 | ×1.050 | 25.67% |
| Doubles /BIP | 5.88% | ÷1.040 | ×0.910 | ×1.038 | ×1.050 | 5.61% |
| Triples /BIP | 0.53% | ÷0.994 | ×0.880 | ×1.038 | ×1.050 | 0.52% |
| Home runs /BIP | 1.34% | ÷1.081 | ×0.800 | — | ×1.050 | 1.04% |
Factors used: league row SL. Park (home-season share, regressed): HR 116, 1B 96, 2B 108, 3B 99, K 96, BB 96 — applied at half strength. Age: age 21 vs a level average of 24.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.
Result: wOBA .298 → .286; ISO .092 → .083; BABIP .317 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .