Kevin Vicuña
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 24 | AA/INTL2 orgs | 485 | .269/.328/.368 | 2 | 10 | 81 | — | .247/.291/.331 |
| 2023 | 25 | AA/A+/INTL2 orgs | 225 | .260/.353/.448 | 7 | 3 | 93 | — | .207/.282/.293 |
| 2024 | 26 | INTLCaribes de An… | 43 | .244/.262/.390 | 0 | 0 | 75 | — |
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 Blue Jays | — | 291 | 250 | 67 | 3 | 3 | 0 | 17 | 29 | 17 | 10 | 4 | 268 | 356 | 304 | 660 | 36 | 302 | 10 | 6 | 303 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK | GCL Blue Jays | — | 204 | 178 | 46 | 5 | 1 | 0 | 12 | 39 | 11 | 11 | 3 | 258 | 342 | 298 | 639 | 39 | 331 | 19 | 6 | 298 | 34 | — | — | — | — | — | — |
| 2017 | 19 | A+ | Dunedin Blue Jays | — | 92 | 84 | 17 | 1 | 1 | 0 | 3 | 19 | 3 | 0 | 0 | 202 | 256 | 238 | 494 | 36 | 262 | 21 | 3 | 226 | 22 | — | — | — | — | — | — |
| 2017 | 19 | A | Lansing Lugnuts | — | 54 | 50 | 17 | 1 | 1 | 0 | 2 | 13 | 2 | 3 | 2 | 340 | 389 | 400 | 789 | 60 | 459 | 24 | 4 | 358 | 80 | — | — | — | — | — | — |
| 2018 | 20 | A | Lansing Lugnuts | — | 395 | 372 | 99 | 16 | 6 | 2 | 18 | 56 | 4 | 10 | 8 | 266 | 307 | 358 | 665 | 91 | 309 | 14 | 5 | 298 | 56 | — | — | — | — | — | — |
| 2018 | 20 | INTL | Tigres de Aragua | — | 61 | 51 | 14 | 1 | 0 | 0 | 8 | 13 | 0 | 3 | 2 | 275 | 367 | 294 | 661 | 20 | 368 | 21 | 13 | 305 | 93 | — | — | — | — | — | — |
| 2019 | 21 | A+ | Dunedin Blue Jays | — | 440 | 396 | 99 | 19 | 4 | 1 | 30 | 82 | 8 | 19 | 9 | 250 | 314 | 326 | 640 | 76 | 311 | 19 | 7 | 290 | 41 | — | — | — | — | — | — |
| 2021 | 23 | AAA | Buffalo Bisons | — | 17 | 15 | 3 | 0 | 0 | 0 | 1 | 3 | 0 | 1 | 0 | 200 | 250 | 200 | 450 | 250 | 18 | 6 | 201 | 6 | — | — | — | — | — | — | |
| 2021 | 23 | AA | New Hampshire Fisher Cats | — | 310 | 275 | 68 | 14 | 0 | 2 | 15 | 68 | 11 | 11 | 3 | 247 | 308 | 320 | 628 | 73 | 316 | 22 | 5 | 283 | 50 | — | — | — | — | — | — |
| 2022 | 24 | AA | Reading Fightin Phils | — | 343 | 312 | 85 | 15 | 5 | 2 | 17 | 66 | 9 | 9 | 7 | 272 | 326 | 372 | 698 | 99 | 336 | 19 | 5 | 312 | 74 | — | — | — | — | — | — |
| 2022 | 24 | INTL | Caribes de Anzoategui | — | 142 | 126 | 33 | 6 | 3 | 0 | 10 | 18 | 4 | 1 | 2 | 262 | 333 | 357 | 690 | 95 | 306 | 13 | 7 | 311 | 97 | — | — | — | — | — | — |
| 2023 | 25 | AA | Amarillo Sod Poodles | — | 115 | 98 | 25 | 4 | 0 | 4 | 11 | 19 | 3 | 1 | 0 | 255 | 345 | 418 | 764 | 163 | 280 | 17 | 10 | 337 | 59 | — | — | — | — | — | — |
| 2023 | 25 | A+ | Hillsboro Hops | — | 16 | 14 | 4 | 1 | 0 | 0 | 0 | 4 | 1 | 1 | 0 | 286 | 333 | 357 | 690 | 71 | 400 | 25 | 0 | 296 | 53 | — | — | — | — | — | — |
| 2023 | 25 | INTL | Caribes de Anzoategui | — | 94 | 80 | 21 | 6 | 2 | 3 | 7 | 9 | 6 | 1 | 0 | 263 | 366 | 500 | 866 | 237 | 265 | 10 | 7 | 378 | 142 | — | — | — | — | — | — |
| 2024 | 26 | INTL | Caribes de Anzoategui | — | 43 | 41 | 10 | 4 | 1 | 0 | 0 | 8 | 1 | 0 | 2 | 244 | 262 | 390 | 652 | 146 | 303 | 19 | 0 | 279 | 75 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK MLE | DSL Blue Jays | — | 291 | 256 | 50 | 2 | 2 | 0 | 11 | 36 | 17 | 10 | 4 | 195 | 275 | 219 | 493 | 23 | 217 | 12 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Blue Jays | — | 204 | 183 | 36 | 3 | 1 | 0 | 8 | 56 | 11 | 11 | 3 | 197 | 272 | 224 | 496 | 27 | 272 | 27 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 19 | A+ MLE | Dunedin Blue Jays | — | 92 | 85 | 16 | 1 | 1 | 0 | 2 | 27 | 3 | 0 | 0 | 188 | 233 | 224 | 457 | 35 | 263 | 29 | 2 | 200 | 22 | — | — | — | — | — | — |
| 2017 | 19 | A MLE | Lansing Lugnuts | — | 54 | 51 | 15 | 1 | 1 | 0 | 1 | 18 | 2 | 3 | 2 | 294 | 333 | 353 | 686 | 59 | 439 | 33 | 2 | 287 | 80 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | Lansing Lugnuts | — | 395 | 377 | 89 | 13 | 5 | 2 | 13 | 77 | 4 | 10 | 8 | 236 | 269 | 313 | 582 | 77 | 290 | 19 | 3 | 251 | 56 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Dunedin Blue Jays | — | 440 | 405 | 80 | 16 | 3 | 1 | 23 | 121 | 8 | 19 | 9 | 198 | 255 | 259 | 514 | 62 | 273 | 28 | 5 | 229 | 41 | — | — | — | — | — | — |
| 2021 | 23 | AAA MLE | Buffalo Bisons | — | 17 | 15 | 3 | 0 | 0 | 0 | 1 | 4 | 0 | 1 | 0 | 200 | 250 | 200 | 450 | 228 | 24 | 6 | 177 | 6 | — | — | — | — | — | — | |
| 2021 | 23 | AA MLE | New Hampshire Fisher Cats | — | 310 | 283 | 61 | 12 | 0 | 2 | 11 | 84 | 11 | 11 | 3 | 216 | 272 | 279 | 551 | 64 | 284 | 27 | 4 | 242 | 50 | — | — | — | — | — | — |
| 2022 | 24 | AA MLE | Reading Fightin Phils | — | 343 | 320 | 79 | 14 | 5 | 1 | 11 | 80 | 9 | 9 | 7 | 247 | 291 | 331 | 622 | 84 | 319 | 23 | 3 | 277 | 74 | — | — | — | — | — | — |
| 2023 | 25 | AA MLE | Amarillo Sod Poodles | — | 115 | 102 | 20 | 3 | 0 | 2 | 8 | 23 | 3 | 1 | 0 | 196 | 274 | 284 | 559 | 88 | 236 | 20 | 7 | 255 | 59 | — | — | — | — | — | — |
| 2023 | 25 | A+ MLE | Hillsboro Hops | — | 16 | 14 | 4 | 1 | 0 | 0 | 0 | 5 | 1 | 1 | 0 | 286 | 333 | 357 | 690 | 71 | 358 | 31 | 0 | 247 | 53 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | DSL Blue Jays | — | 291 | 256 | 50 | 2 | 2 | 0 | 11 | 36 | 17 | 10 | 4 | 195 | 275 | 219 | 493 | 23 | 226 | 12 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2015 | 17 | ROK RAW | DSL Blue Jays | — | 291 | 250 | 67 | 3 | 3 | 0 | 17 | 29 | 17 | 10 | 4 | 268 | 356 | 304 | 660 | 36 | 302 | 10 | 6 | 303 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Blue Jays | — | 204 | 183 | 36 | 3 | 1 | 0 | 8 | 56 | 11 | 11 | 3 | 197 | 272 | 224 | 496 | 27 | 283 | 27 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | GCL Blue Jays | — | 204 | 178 | 46 | 5 | 1 | 0 | 12 | 39 | 11 | 11 | 3 | 258 | 342 | 298 | 639 | 39 | 331 | 19 | 6 | 298 | 34 | — | — | — | — | — | — |
| 2017 | 19 | A+ MLE | 2 teams | — | 146 | 136 | 30 | 2 | 1 | 0 | 3 | 45 | 5 | 3 | 2 | 221 | 264 | 250 | 514 | 29 | 330 | 31 | 2 | 232 | 43 | — | — | — | — | — | — |
| 2017 | 19 | A+ RAW | 2 teams | — | 146 | 134 | 34 | 2 | 2 | 0 | 5 | 32 | 5 | 3 | 2 | 254 | 306 | 299 | 604 | 45 | 333 | 22 | 3 | 275 | 43 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | 2 teams | — | 456 | 435 | 103 | 15 | 6 | 2 | 15 | 89 | 4 | 13 | 10 | 237 | 269 | 313 | 581 | 76 | 294 | 20 | 3 | 251 | 56 | — | — | — | — | — | — |
| 2018 | 20 | A RAW | 2 teams | — | 456 | 423 | 113 | 17 | 6 | 2 | 26 | 69 | 4 | 13 | 10 | 267 | 315 | 350 | 665 | 83 | 315 | 15 | 6 | 299 | 56 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Dunedin Blue Jays | — | 440 | 405 | 80 | 16 | 3 | 1 | 23 | 121 | 8 | 19 | 9 | 198 | 255 | 259 | 514 | 62 | 277 | 28 | 5 | 229 | 41 | — | — | — | — | — | — |
| 2019 | 21 | A+ RAW | Dunedin Blue Jays | — | 440 | 396 | 99 | 19 | 4 | 1 | 30 | 82 | 8 | 19 | 9 | 250 | 314 | 326 | 640 | 76 | 311 | 19 | 7 | 290 | 41 | — | — | — | — | — | — |
| 2021 | 23 | AA MLE | 2 teams | — | 327 | 298 | 64 | 12 | 0 | 2 | 12 | 87 | 11 | 12 | 3 | 215 | 271 | 275 | 546 | 60 | 291 | 27 | 4 | 239 | 48 | — | — | — | — | — | — |
| 2021 | 23 | AA RAW | 2 teams | — | 327 | 290 | 71 | 14 | 0 | 2 | 16 | 71 | 11 | 12 | 3 | 245 | 305 | 314 | 619 | 69 | 312 | 22 | 5 | 279 | 48 | — | — | — | — | — | — |
| 2022 | 24 | AA MLE | 2 teams | — | 485 | 452 | 112 | 20 | 7 | 2 | 16 | 113 | 13 | 10 | 9 | 248 | 293 | 336 | 629 | 88 | 324 | 23 | 3 | 277 | 74 | — | — | — | — | — | — |
| 2022 | 24 | AA RAW | 2 teams | — | 485 | 438 | 118 | 21 | 8 | 2 | 27 | 84 | 13 | 10 | 9 | 269 | 328 | 368 | 696 | 98 | 327 | 17 | 6 | 312 | 74 | — | — | — | — | — | — |
| 2023 | 25 | AA MLE | 3 teams | — | 225 | 197 | 41 | 7 | 0 | 3 | 14 | 49 | 10 | 3 | 0 | 208 | 294 | 289 | 583 | 81 | 262 | 22 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2023 | 25 | AA RAW | 3 teams | — | 225 | 192 | 50 | 11 | 2 | 7 | 18 | 32 | 10 | 3 | 0 | 260 | 353 | 448 | 801 | 188 | 281 | 14 | 8 | 351 | 58 | — | — | — | — | — | — |
| 2024 | 26 | INTL MLE | Caribes de Anzoategui | — | 43 | 41 | 10 | 4 | 1 | 0 | 0 | 8 | 1 | 0 | 2 | 244 | 262 | 390 | 652 | 146 | 303 | 19 | 0 | — | — | — | — | — | — | — | — |
| 2024 | 26 | INTL RAW | Caribes de Anzoategui | — | 43 | 41 | 10 | 4 | 1 | 0 | 0 | 8 | 1 | 0 | 2 | 244 | 262 | 390 | 652 | 146 | 303 | 19 | 0 | 279 | 75 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | DSL Blue Jays | — | 291 | 261 | 50 | 2 | 2 | 0 | 11 | 36 | 17 | 10 | 4 | 192 | 275 | 215 | 489 | 23 | 217 | 12 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | GCL Blue Jays | — | 204 | 183 | 36 | 3 | 1 | 0 | 8 | 56 | 11 | 11 | 3 | 197 | 272 | 224 | 496 | 27 | 272 | 27 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 19 | A+ MLE | 2 teams | — | 146 | 137 | 30 | 2 | 1 | 0 | 3 | 45 | 5 | 3 | 2 | 219 | 264 | 248 | 512 | 29 | 328 | 31 | 2 | 232 | 43 | — | — | — | — | — | — |
| 2018 | 20 | A MLE | 2 teams | — | 456 | 434 | 103 | 15 | 6 | 2 | 15 | 89 | 4 | 13 | 10 | 237 | 269 | 313 | 582 | 76 | 290 | 20 | 3 | 251 | 56 | — | — | — | — | — | — |
| 2019 | 21 | A+ MLE | Dunedin Blue Jays | — | 440 | 406 | 80 | 16 | 3 | 1 | 23 | 121 | 8 | 19 | 9 | 197 | 255 | 259 | 513 | 62 | 273 | 28 | 5 | 229 | 41 | — | — | — | — | — | — |
| 2021 | 23 | AA MLE | 2 teams | — | 327 | 301 | 64 | 12 | 0 | 2 | 12 | 87 | 11 | 12 | 3 | 213 | 271 | 272 | 543 | 60 | 281 | 27 | 4 | 239 | 48 | — | — | — | — | — | — |
| 2022 | 24 | AA MLE | 2 teams | — | 485 | 453 | 112 | 20 | 7 | 2 | 16 | 113 | 13 | 10 | 9 | 247 | 293 | 336 | 629 | 88 | 319 | 23 | 3 | 277 | 74 | — | — | — | — | — | — |
| 2023 | 25 | AA MLE | 3 teams | — | 225 | 199 | 41 | 7 | 0 | 3 | 14 | 49 | 10 | 3 | 0 | 206 | 294 | 286 | 581 | 80 | 251 | 22 | 6 | 254 | 58 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 2617 | 2403 | 526 | 81 | 21 | 10 | 102 | 604 | 80 | 81 | 42 | 219 | 274 | 283 | 556 | 64 | 287 | 23 | 4 | 240 | 48 | -161 | -1 | +0 | +28 | +57 | -7.9 | |
| / 162G | — | MLE | — | 650 | 597 | 130 | 20 | 5 | 2 | 25 | 150 | 20 | 20 | 10 | 218 | 272 | 278 | 550 | 60 | 286 | 23 | 4 | 240 | 48 | -40 | +0 | +0 | +7 | +14 | -1.9 | |
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 AAAmarillo Sod Poodles · 115 PAwOBA .328 → .255 (−73)K% 16.5% → 20.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.52% | ÷1.003 | ×1.220 | — | — | 20.10% |
| BB% (unintentional) /PA | 9.57% | ÷0.922 | ×0.700 | — | ×0.998 | 7.25% |
| HBP% /PA | 2.61% | — | ×0.870 | — | ×0.998 | 2.27% |
| Singles /BIP | 21.52% | ÷1.054 | ×0.920 | ×1.002 | ×0.998 | 18.79% |
| Doubles /BIP | 5.06% | ÷1.008 | ×0.840 | ×1.002 | ×0.998 | 4.22% |
| Triples /BIP | 0.00% | ÷1.124 | ×0.940 | ×1.002 | ×0.998 | 0.00% |
| Home runs /BIP | 5.06% | ÷1.637 | ×0.800 | — | ×0.998 | 2.47% |
Factors used: league row TL. Park (home-season share, regressed): HR 227, 1B 111, 2B 102, 3B 125, K 101, BB 84 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.
Result: wOBA .328 → .255; ISO .163 → .096; BABIP .280 → .236. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).
2023 A+Hillsboro Hops · 16 PAwOBA .288 → .247 (−41)K% 25.0% → 34.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.987 | ×1.350 | — | — | 34.18% |
| BB% (unintentional) /PA | 0.00% | ÷1.038 | ×0.710 | — | ×0.978 | 0.00% |
| HBP% /PA | 6.25% | — | ×0.810 | — | ×0.978 | 4.95% |
| Singles /BIP | 30.00% | ÷0.980 | ×0.910 | — | ×0.978 | 27.24% |
| Doubles /BIP | 10.00% | ÷0.947 | ×0.830 | — | ×0.978 | 8.57% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.820 | — | ×0.978 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.952 | ×0.830 | — | ×0.978 | 0.00% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 96, 2B 89, 3B 80, K 97, BB 108 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .288 → .247; ISO .071 → .060; BABIP .400 → .358. 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 AAReading Fightin Phils · 343 PAwOBA .306 → .277 (−30)K% 19.2% → 23.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.24% | ÷1.005 | ×1.220 | — | — | 23.36% |
| BB% (unintentional) /PA | 4.96% | ÷1.052 | ×0.700 | — | ×1.012 | 3.34% |
| HBP% /PA | 2.62% | — | ×0.850 | — | ×1.012 | 2.26% |
| Singles /BIP | 25.61% | ÷1.069 | ×0.970 | ×1.026 | ×1.012 | 24.13% |
| Doubles /BIP | 6.10% | ÷0.930 | ×0.860 | ×1.026 | ×1.012 | 5.86% |
| Triples /BIP | 2.03% | ÷0.950 | ×0.950 | ×1.026 | ×1.012 | 2.11% |
| Home runs /BIP | 0.81% | ÷1.051 | ×0.780 | — | ×1.012 | 0.61% |
Factors used: league row EL. Park (home-season share, regressed): HR 110, 1B 114, 2B 86, 3B 90, K 101, BB 110 — 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 ×1.026.
Result: wOBA .306 → .277; ISO .099 → .093; BABIP .336 → .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).
2021 AANew Hampshire Fisher Cats · 310 PAwOBA .279 → .242 (−38)K% 21.9% → 27.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.94% | ÷0.990 | ×1.220 | — | — | 27.02% |
| BB% (unintentional) /PA | 4.84% | ÷0.966 | ×0.690 | — | ×1.027 | 3.55% |
| HBP% /PA | 3.55% | — | ×0.850 | — | ×1.027 | 3.10% |
| Singles /BIP | 25.12% | ÷1.022 | ×0.940 | ×0.971 | ×1.027 | 23.05% |
| Doubles /BIP | 6.76% | ÷1.039 | ×0.870 | ×0.971 | ×1.027 | 5.65% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.920 | ×0.971 | ×1.027 | 0.00% |
| Home runs /BIP | 0.97% | ÷0.973 | ×0.780 | — | ×1.027 | 0.80% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 104, 2B 108, 3B 80, K 98, BB 93 — 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 ×0.971.
Result: wOBA .279 → .242; ISO .073 → .060; BABIP .316 → .284. 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 AAABuffalo Bisons · 17 PAwOBA .196 → .177 (−19)K% 17.6% → 21.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.65% | ÷0.965 | ×1.200 | — | — | 21.94% |
| BB% (unintentional) /PA | 5.88% | ÷1.024 | ×0.690 | — | ×1.050 | 4.16% |
| HBP% /PA | 0.00% | — | ×0.940 | — | ×1.050 | 0.00% |
| Singles /BIP | 25.00% | ÷1.071 | ×0.930 | — | ×1.050 | 22.80% |
| Doubles /BIP | 0.00% | ÷0.962 | ×0.830 | — | ×1.050 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | — | ×1.050 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.081 | ×0.700 | — | ×1.050 | 0.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 114, 2B 92, 3B 130, K 93, BB 105 — 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 .196 → .177; ISO .000 → .000; BABIP .250 → .228. 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+Dunedin Blue Jays · 440 PAwOBA .284 → .229 (−55)K% 18.6% → 27.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.64% | ÷0.966 | ×1.420 | — | — | 27.39% |
| BB% (unintentional) /PA | 6.82% | ÷0.993 | ×0.750 | — | ×1.027 | 5.29% |
| HBP% /PA | 1.82% | — | ×0.930 | — | ×1.027 | 1.74% |
| Singles /BIP | 23.89% | ÷1.029 | ×0.920 | ×0.950 | ×1.027 | 20.84% |
| Doubles /BIP | 6.05% | ÷0.992 | ×0.960 | ×0.950 | ×1.027 | 5.71% |
| Triples /BIP | 1.27% | ÷1.150 | ×0.810 | ×0.950 | ×1.027 | 0.88% |
| Home runs /BIP | 0.32% | ÷1.194 | ×0.880 | — | ×1.027 | 0.24% |
Factors used: league row FSL. Park (home-season share, regressed): HR 139, 1B 106, 2B 98, 3B 130, K 93, BB 99 — 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 .284 → .229; ISO .076 → .060; BABIP .311 → .273. 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 ALansing Lugnuts · 395 PAwOBA .290 → .251 (−40)K% 14.2% → 19.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.18% | ÷0.989 | ×1.360 | — | — | 19.50% |
| BB% (unintentional) /PA | 4.56% | ÷0.995 | ×0.690 | — | ×1.030 | 3.26% |
| HBP% /PA | 1.01% | — | ×0.780 | — | ×1.030 | 0.81% |
| Singles /BIP | 23.73% | ÷1.018 | ×0.920 | ×1.037 | ×1.030 | 22.91% |
| Doubles /BIP | 5.06% | ÷1.033 | ×0.830 | ×1.037 | ×1.030 | 4.34% |
| Triples /BIP | 1.90% | ÷1.150 | ×0.910 | ×1.037 | ×1.030 | 1.60% |
| Home runs /BIP | 0.63% | ÷1.034 | ×0.800 | — | ×1.030 | 0.50% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 104, 2B 107, 3B 130, K 98, BB 99 — 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 ×1.037.
Result: wOBA .290 → .251; ISO .091 → .074; BABIP .309 → .290. 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 A+Dunedin Blue Jays · 92 PAwOBA .220 → .200 (−20)K% 20.7% → 29.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.65% | ÷1.007 | ×1.420 | — | — | 29.13% |
| BB% (unintentional) /PA | 3.26% | ÷1.118 | ×0.750 | — | ×1.050 | 2.30% |
| HBP% /PA | 3.26% | — | ×0.930 | — | ×1.050 | 3.18% |
| Singles /BIP | 23.08% | ÷1.002 | ×0.920 | ×1.050 | ×1.050 | 23.36% |
| Doubles /BIP | 1.54% | ÷0.940 | ×0.960 | ×1.050 | ×1.050 | 1.73% |
| Triples /BIP | 1.54% | ÷1.150 | ×0.810 | ×1.050 | ×1.050 | 1.19% |
| Home runs /BIP | 0.00% | ÷1.265 | ×0.880 | — | ×1.050 | 0.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 153, 1B 100, 2B 88, 3B 130, K 101, BB 124 — applied at half strength. Age: age 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .220 → .200; ISO .036 → .030; BABIP .262 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .