Erick Castillo
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2020 | 27 | INTLCaribes de An… | 44 | .310/.341/.310 | 0 | 0 | 89 | — | |
| 2021 | 28 | AAA/AA/INTL3 orgs | 305 | .218/.314/.275 | 2 | 0 | 56 | — | .191/.276/.236 |
| 2022 | 29 | AAA/INTL2 orgs | 147 | .227/.287/.242 | 0 | 0 | 36 | — | .224/.274/.241 |
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) | |||||||||||||||||||||||||||||||
| 2012 | 19 | ROK | DSL Cubs 2 | — | 136 | 111 | 20 | 7 | 0 | 0 | 13 | 13 | 7 | 0 | 2 | 180 | 305 | 243 | 549 | 63 | 202 | 10 | 10 | 257 | 7 | — | — | — | — | — | — |
| 2013 | 20 | ROK | AZL Cubs | — | 50 | 49 | 13 | 2 | 0 | 1 | 1 | 6 | 0 | 0 | 2 | 265 | 280 | 367 | 647 | 102 | 286 | 12 | 2 | 288 | 24 | — | — | — | — | — | — |
| 2014 | 21 | ROK | AZL Cubs | — | 57 | 53 | 14 | 4 | 0 | 0 | 3 | 5 | 1 | 0 | 0 | 264 | 316 | 340 | 655 | 75 | 292 | 9 | 5 | 298 | 34 | — | — | — | — | — | — |
| 2015 | 22 | A | South Bend Cubs | — | 145 | 135 | 30 | 4 | 0 | 0 | 4 | 18 | 2 | 0 | 0 | 222 | 255 | 252 | 507 | 30 | 250 | 12 | 3 | 227 | 19 | — | — | — | — | — | — |
| 2016 | 23 | A+ | Myrtle Beach Pelicans | — | 164 | 151 | 28 | 2 | 0 | 1 | 7 | 29 | 5 | 0 | 0 | 185 | 245 | 219 | 464 | 33 | 223 | 18 | 4 | 218 | 3 | — | — | — | — | — | — |
| 2017 | 24 | AA | Tennessee Smokies | — | 230 | 204 | 50 | 10 | 0 | 1 | 19 | 43 | 3 | 0 | 0 | 245 | 319 | 309 | 627 | 64 | 302 | 19 | 8 | 286 | 57 | — | — | — | — | — | — |
| 2017 | 24 | INTL | Caribes de Anzoategui | — | 79 | 69 | 15 | 2 | 0 | 0 | 4 | 16 | 2 | 0 | 0 | 217 | 280 | 246 | 526 | 29 | 283 | 20 | 5 | 235 | 45 | — | — | — | — | — | — |
| 2018 | 25 | AA | Tennessee Smokies | — | 151 | 140 | 26 | 4 | 0 | 2 | 7 | 22 | 2 | 0 | 0 | 186 | 235 | 257 | 492 | 71 | 207 | 15 | 5 | 224 | 19 | — | — | — | — | — | — |
| 2018 | 25 | INTL | Caribes de Anzoategui | — | 45 | 39 | 12 | 1 | 0 | 0 | 2 | 8 | 2 | 0 | 0 | 308 | 372 | 333 | 705 | 26 | 375 | 18 | 4 | 313 | 98 | — | — | — | — | — | — |
| 2019 | 26 | AAA | Iowa Cubs | — | 63 | 57 | 13 | 3 | 0 | 0 | 5 | 15 | 0 | 0 | 0 | 228 | 290 | 281 | 571 | 53 | 302 | 24 | 8 | 260 | 32 | — | — | — | — | — | — |
| 2019 | 26 | AA | Tennessee Smokies | — | 30 | 27 | 7 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 0 | 259 | 310 | 259 | 570 | 292 | 10 | 0 | 260 | 36 | — | — | — | — | — | — | |
| 2020 | 27 | INTL | Caribes de Anzoategui | — | 44 | 42 | 13 | 0 | 0 | 0 | 1 | 9 | 1 | 0 | 0 | 310 | 341 | 310 | 650 | 394 | 20 | 2 | 300 | 89 | — | — | — | — | — | — | |
| 2021 | 28 | AAA | Iowa Cubs | — | 136 | 114 | 21 | 4 | 0 | 0 | 13 | 22 | 5 | 0 | 0 | 184 | 295 | 219 | 515 | 35 | 223 | 16 | 10 | 245 | 32 | — | — | — | — | — | — |
| 2021 | 28 | AA | Tennessee Smokies | — | 69 | 57 | 13 | 1 | 0 | 1 | 7 | 12 | 3 | 0 | 0 | 228 | 343 | 298 | 642 | 70 | 267 | 17 | 10 | 296 | 59 | — | — | — | — | — | — |
| 2021 | 28 | INTL | Leones del Caracas | — | 100 | 91 | 23 | 2 | 1 | 1 | 7 | 12 | 2 | 0 | 0 | 253 | 320 | 330 | 650 | 77 | 282 | 12 | 7 | 298 | 88 | — | — | — | — | — | — |
| 2022 | 29 | AAA | Iowa Cubs | — | 127 | 114 | 27 | 2 | 0 | 0 | 5 | 22 | 5 | 0 | 0 | 237 | 298 | 254 | 553 | 18 | 290 | 17 | 4 | 255 | 41 | — | — | — | — | — | — |
| 2022 | 29 | INTL | Panama | — | 20 | 18 | 3 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 167 | 211 | 167 | 377 | 231 | 25 | 5 | 171 | 2 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 19 | ROK MLE | DSL Cubs 2 | — | 136 | 115 | 15 | 5 | 0 | 0 | 9 | 16 | 7 | 0 | 2 | 130 | 237 | 174 | 411 | 43 | 135 | 12 | 7 | 179 | 7 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | AZL Cubs | — | 50 | 49 | 10 | 1 | 0 | 1 | 1 | 9 | 0 | 0 | 2 | 204 | 220 | 286 | 506 | 82 | 222 | 18 | 2 | 204 | 24 | — | — | — | — | — | — |
| 2014 | 21 | ROK MLE | AZL Cubs | — | 57 | 54 | 11 | 3 | 0 | 0 | 2 | 7 | 1 | 0 | 0 | 204 | 246 | 259 | 505 | 56 | 231 | 12 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | South Bend Cubs | — | 145 | 136 | 27 | 3 | 0 | 0 | 3 | 25 | 2 | 0 | 0 | 199 | 227 | 221 | 448 | 22 | 228 | 17 | 2 | 197 | 19 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Myrtle Beach Pelicans | — | 164 | 154 | 25 | 2 | 0 | 1 | 4 | 43 | 5 | 0 | 0 | 162 | 209 | 195 | 403 | 32 | 208 | 26 | 2 | 173 | 3 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | Tennessee Smokies | — | 230 | 210 | 48 | 10 | 0 | 1 | 13 | 54 | 3 | 0 | 0 | 229 | 283 | 290 | 574 | 62 | 289 | 23 | 6 | 252 | 57 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | Tennessee Smokies | — | 151 | 142 | 25 | 4 | 0 | 2 | 5 | 27 | 2 | 0 | 0 | 176 | 215 | 246 | 461 | 70 | 201 | 18 | 3 | 197 | 19 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | Iowa Cubs | — | 63 | 58 | 11 | 2 | 0 | 0 | 4 | 19 | 0 | 0 | 0 | 190 | 242 | 224 | 466 | 34 | 271 | 30 | 6 | 215 | 32 | — | — | — | — | — | — |
| 2019 | 26 | AA MLE | Tennessee Smokies | — | 30 | 27 | 6 | 0 | 0 | 0 | 0 | 4 | 2 | 0 | 0 | 222 | 276 | 222 | 498 | 252 | 13 | 0 | 222 | 36 | — | — | — | — | — | — | |
| 2021 | 28 | AAA MLE | Iowa Cubs | — | 136 | 118 | 21 | 4 | 0 | 0 | 9 | 26 | 5 | 0 | 0 | 178 | 265 | 212 | 477 | 34 | 207 | 19 | 7 | 215 | 32 | — | — | — | — | — | — |
| 2021 | 28 | AA MLE | Tennessee Smokies | — | 69 | 60 | 13 | 1 | 0 | 1 | 4 | 15 | 3 | 0 | 0 | 217 | 299 | 283 | 582 | 67 | 257 | 22 | 6 | 256 | 59 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | Iowa Cubs | — | 127 | 116 | 26 | 2 | 0 | 0 | 3 | 27 | 5 | 0 | 0 | 224 | 274 | 241 | 516 | 17 | 276 | 21 | 2 | 229 | 41 | — | — | — | — | — | — |
| 2012 | 19 | ROK MLE | DSL Cubs 2 | — | 136 | 115 | 15 | 5 | 0 | 0 | 9 | 16 | 7 | 0 | 2 | 130 | 237 | 174 | 411 | 43 | 150 | 12 | 7 | 179 | 7 | — | — | — | — | — | — |
| 2012 | 19 | ROK RAW | DSL Cubs 2 | — | 136 | 111 | 20 | 7 | 0 | 0 | 13 | 13 | 7 | 0 | 2 | 180 | 305 | 243 | 549 | 63 | 202 | 10 | 10 | 257 | 7 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | AZL Cubs | — | 50 | 49 | 10 | 1 | 0 | 1 | 1 | 9 | 0 | 0 | 2 | 204 | 220 | 286 | 506 | 82 | 231 | 18 | 2 | 204 | 24 | — | — | — | — | — | — |
| 2013 | 20 | ROK RAW | AZL Cubs | — | 50 | 49 | 13 | 2 | 0 | 1 | 1 | 6 | 0 | 0 | 2 | 265 | 280 | 367 | 647 | 102 | 286 | 12 | 2 | 288 | 24 | — | — | — | — | — | — |
| 2014 | 21 | ROK MLE | AZL Cubs | — | 57 | 54 | 11 | 3 | 0 | 0 | 2 | 7 | 1 | 0 | 0 | 204 | 246 | 259 | 505 | 56 | 234 | 12 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2014 | 21 | ROK RAW | AZL Cubs | — | 57 | 53 | 14 | 4 | 0 | 0 | 3 | 5 | 1 | 0 | 0 | 264 | 316 | 340 | 655 | 75 | 292 | 9 | 5 | 298 | 34 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | South Bend Cubs | — | 145 | 136 | 27 | 3 | 0 | 0 | 3 | 25 | 2 | 0 | 0 | 199 | 227 | 221 | 448 | 22 | 237 | 17 | 2 | 197 | 19 | — | — | — | — | — | — |
| 2015 | 22 | A RAW | South Bend Cubs | — | 145 | 135 | 30 | 4 | 0 | 0 | 4 | 18 | 2 | 0 | 0 | 222 | 255 | 252 | 507 | 30 | 250 | 12 | 3 | 227 | 19 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Myrtle Beach Pelicans | — | 164 | 154 | 25 | 2 | 0 | 1 | 4 | 43 | 5 | 0 | 0 | 162 | 209 | 195 | 403 | 32 | 218 | 26 | 2 | 173 | 3 | — | — | — | — | — | — |
| 2016 | 23 | A+ RAW | Myrtle Beach Pelicans | — | 164 | 151 | 28 | 2 | 0 | 1 | 7 | 29 | 5 | 0 | 0 | 185 | 245 | 219 | 464 | 33 | 223 | 18 | 4 | 218 | 3 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | 2 teams | — | 309 | 279 | 64 | 13 | 0 | 1 | 17 | 72 | 5 | 0 | 0 | 229 | 286 | 287 | 572 | 57 | 303 | 23 | 6 | 252 | 57 | — | — | — | — | — | — |
| 2017 | 24 | AA RAW | 2 teams | — | 309 | 273 | 65 | 12 | 0 | 1 | 23 | 59 | 5 | 0 | 0 | 238 | 309 | 293 | 602 | 55 | 298 | 19 | 7 | 273 | 57 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | 2 teams | — | 196 | 182 | 32 | 5 | 0 | 2 | 6 | 36 | 4 | 0 | 0 | 176 | 219 | 236 | 455 | 60 | 207 | 18 | 3 | 197 | 19 | — | — | — | — | — | — |
| 2018 | 25 | AA RAW | 2 teams | — | 196 | 179 | 38 | 5 | 0 | 2 | 9 | 30 | 4 | 0 | 0 | 212 | 266 | 274 | 539 | 61 | 243 | 15 | 5 | 244 | 19 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | 2 teams | — | 93 | 85 | 17 | 2 | 0 | 0 | 4 | 23 | 2 | 0 | 0 | 200 | 253 | 224 | 476 | 24 | 270 | 25 | 4 | 217 | 33 | — | — | — | — | — | — |
| 2019 | 26 | AAA RAW | 2 teams | — | 93 | 84 | 20 | 3 | 0 | 0 | 5 | 18 | 2 | 0 | 0 | 238 | 297 | 274 | 571 | 36 | 299 | 19 | 5 | 260 | 33 | — | — | — | — | — | — |
| 2020 | 27 | INTL MLE | Caribes de Anzoategui | — | 44 | 42 | 13 | 0 | 0 | 0 | 1 | 9 | 1 | 0 | 0 | 310 | 341 | 310 | 650 | 394 | 20 | 2 | — | — | — | — | — | — | — | — | |
| 2020 | 27 | INTL RAW | Caribes de Anzoategui | — | 44 | 42 | 13 | 0 | 0 | 0 | 1 | 9 | 1 | 0 | 0 | 310 | 341 | 310 | 650 | 394 | 20 | 2 | 300 | 89 | — | — | — | — | — | — | |
| 2021 | 28 | AAA MLE | 3 teams | — | 305 | 269 | 50 | 7 | 0 | 1 | 20 | 60 | 10 | 0 | 0 | 186 | 268 | 223 | 491 | 37 | 232 | 20 | 7 | 229 | 41 | — | — | — | — | — | — |
| 2021 | 28 | AAA RAW | 3 teams | — | 305 | 262 | 57 | 7 | 1 | 2 | 27 | 46 | 10 | 0 | 0 | 218 | 314 | 275 | 589 | 57 | 253 | 15 | 9 | 274 | 41 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | 2 teams | — | 147 | 134 | 30 | 2 | 0 | 0 | 4 | 31 | 5 | 0 | 0 | 224 | 273 | 239 | 512 | 15 | 288 | 21 | 3 | 229 | 41 | — | — | — | — | — | — |
| 2022 | 29 | AAA RAW | 2 teams | — | 147 | 132 | 30 | 2 | 0 | 0 | 6 | 27 | 5 | 0 | 0 | 227 | 287 | 242 | 529 | 15 | 283 | 18 | 4 | 243 | 41 | — | — | — | — | — | — |
| 2012 | 19 | ROK MLE | DSL Cubs 2 | — | 136 | 119 | 15 | 5 | 0 | 0 | 9 | 16 | 7 | 0 | 2 | 126 | 237 | 168 | 405 | 42 | 135 | 12 | 7 | 179 | 7 | — | — | — | — | — | — |
| 2013 | 20 | ROK MLE | AZL Cubs | — | 50 | 49 | 10 | 1 | 0 | 1 | 1 | 9 | 0 | 0 | 2 | 204 | 220 | 286 | 506 | 82 | 222 | 18 | 2 | 204 | 24 | — | — | — | — | — | — |
| 2014 | 21 | ROK MLE | AZL Cubs | — | 57 | 54 | 11 | 3 | 0 | 0 | 2 | 7 | 1 | 0 | 0 | 204 | 246 | 259 | 505 | 56 | 231 | 12 | 4 | 218 | 34 | — | — | — | — | — | — |
| 2015 | 22 | A MLE | South Bend Cubs | — | 145 | 139 | 27 | 3 | 0 | 0 | 3 | 25 | 2 | 0 | 0 | 194 | 227 | 216 | 443 | 22 | 228 | 17 | 2 | 197 | 19 | — | — | — | — | — | — |
| 2016 | 23 | A+ MLE | Myrtle Beach Pelicans | — | 164 | 154 | 25 | 2 | 0 | 1 | 4 | 43 | 5 | 0 | 0 | 162 | 209 | 195 | 403 | 32 | 208 | 26 | 2 | 173 | 3 | — | — | — | — | — | — |
| 2017 | 24 | AA MLE | 2 teams | — | 309 | 284 | 64 | 13 | 0 | 1 | 17 | 72 | 5 | 0 | 0 | 225 | 286 | 282 | 567 | 56 | 289 | 23 | 6 | 252 | 57 | — | — | — | — | — | — |
| 2018 | 25 | AA MLE | 2 teams | — | 196 | 184 | 32 | 5 | 0 | 2 | 6 | 36 | 4 | 0 | 0 | 174 | 219 | 234 | 452 | 60 | 201 | 18 | 3 | 197 | 19 | — | — | — | — | — | — |
| 2019 | 26 | AAA MLE | 2 teams | — | 93 | 87 | 17 | 2 | 0 | 0 | 4 | 23 | 2 | 0 | 0 | 195 | 253 | 218 | 471 | 23 | 265 | 25 | 4 | 217 | 33 | — | — | — | — | — | — |
| 2021 | 28 | AAA MLE | 3 teams | — | 305 | 272 | 50 | 7 | 0 | 1 | 20 | 60 | 10 | 0 | 0 | 184 | 268 | 221 | 488 | 37 | 224 | 20 | 7 | 229 | 41 | — | — | — | — | — | — |
| 2022 | 29 | AAA MLE | 2 teams | — | 147 | 137 | 30 | 2 | 0 | 0 | 4 | 31 | 5 | 0 | 0 | 219 | 273 | 234 | 506 | 15 | 276 | 21 | 3 | 229 | 41 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1646 | 1499 | 294 | 43 | 0 | 6 | 71 | 331 | 42 | 0 | 4 | 196 | 252 | 237 | 489 | 41 | 245 | 20 | 4 | 209 | 28 | -142 | -2 | +0 | +29 | +36 | -8.0 | |
| / 162G | — | MLE | — | 650 | 592 | 116 | 17 | 0 | 2 | 28 | 131 | 17 | 0 | 2 | 196 | 253 | 235 | 488 | 39 | 246 | 20 | 4 | 209 | 28 | -56 | -1 | +0 | +12 | +14 | -3.2 | |
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.
2022 AAAIowa Cubs · 127 PAwOBA .250 → .229 (−21)K% 17.3% → 21.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.32% | ÷0.988 | ×1.200 | — | — | 21.04% |
| BB% (unintentional) /PA | 3.94% | ÷1.048 | ×0.690 | — | ×0.982 | 2.55% |
| HBP% /PA | 3.94% | — | ×0.940 | — | ×0.982 | 3.63% |
| Singles /BIP | 27.17% | ÷0.985 | ×0.930 | ×1.031 | ×0.982 | 25.98% |
| Doubles /BIP | 2.17% | ÷0.967 | ×0.830 | ×1.031 | ×0.982 | 1.89% |
| Triples /BIP | 0.00% | ÷1.118 | ×0.970 | ×1.031 | ×0.982 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.996 | ×0.700 | — | ×0.982 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 97, 2B 93, 3B 124, K 98, BB 110 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.031.
Result: wOBA .250 → .229; ISO .018 → .015; BABIP .290 → .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).
2021 AAAIowa Cubs · 136 PAwOBA .243 → .215 (−28)K% 16.2% → 18.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.18% | ÷1.032 | ×1.200 | — | — | 18.81% |
| BB% (unintentional) /PA | 9.56% | ÷1.023 | ×0.690 | — | ×0.992 | 6.40% |
| HBP% /PA | 3.68% | — | ×0.940 | — | ×0.992 | 3.43% |
| Singles /BIP | 18.48% | ÷1.039 | ×0.930 | ×1.050 | ×0.992 | 17.22% |
| Doubles /BIP | 4.35% | ÷0.963 | ×0.830 | ×1.050 | ×0.992 | 3.90% |
| Triples /BIP | 0.00% | ÷0.988 | ×0.920 | ×1.050 | ×0.992 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.081 | ×0.700 | — | ×0.992 | 0.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — 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 ×1.050.
Result: wOBA .243 → .215; ISO .035 → .033; BABIP .223 → .207. 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 AATennessee Smokies · 69 PAwOBA .293 → .256 (−37)K% 17.4% → 21.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.39% | ÷0.990 | ×1.220 | — | — | 21.44% |
| BB% (unintentional) /PA | 10.14% | ÷1.066 | ×0.690 | — | ×0.968 | 6.36% |
| HBP% /PA | 4.35% | — | ×0.850 | — | ×0.968 | 3.58% |
| Singles /BIP | 24.44% | ÷0.970 | ×0.940 | ×1.041 | ×0.968 | 23.87% |
| Doubles /BIP | 2.22% | ÷1.015 | ×0.870 | ×1.041 | ×0.968 | 1.92% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×1.041 | ×0.968 | 0.00% |
| Home runs /BIP | 2.22% | ÷1.050 | ×0.780 | — | ×0.968 | 1.60% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 94, 2B 103, 3B 130, K 98, BB 113 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .293 → .256; ISO .070 → .056; BABIP .267 → .257. 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 AAAIowa Cubs · 63 PAwOBA .258 → .215 (−43)K% 23.8% → 30.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.81% | ÷1.025 | ×1.290 | — | — | 29.96% |
| BB% (unintentional) /PA | 7.94% | ÷0.968 | ×0.710 | — | ×1.018 | 5.92% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.018 | 0.00% |
| Singles /BIP | 23.81% | ÷0.993 | ×0.900 | — | ×1.018 | 21.97% |
| Doubles /BIP | 7.14% | ÷1.014 | ×0.810 | — | ×1.018 | 5.81% |
| Triples /BIP | 0.00% | ÷1.029 | ×0.810 | — | ×1.018 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.050 | ×0.780 | — | ×1.018 | 0.00% |
Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 99, 2B 103, 3B 106, K 105, BB 94 — 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).
Result: wOBA .258 → .215; ISO .053 → .041; BABIP .302 → .271. 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 AATennessee Smokies · 30 PAwOBA .253 → .222 (−32)K% 10.0% → 12.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.00% | ÷0.972 | ×1.220 | — | — | 12.55% |
| BB% (unintentional) /PA | 0.00% | ÷1.047 | ×0.680 | — | ×0.988 | 0.00% |
| HBP% /PA | 6.67% | — | ×0.840 | — | ×0.988 | 5.53% |
| Singles /BIP | 29.17% | ÷1.051 | ×0.920 | — | ×0.988 | 25.22% |
| Doubles /BIP | 0.00% | ÷0.977 | ×0.910 | — | ×0.988 | 0.00% |
| Triples /BIP | 0.00% | ÷0.957 | ×0.880 | — | ×0.988 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.142 | ×0.800 | — | ×0.988 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 128, 1B 110, 2B 95, 3B 91, K 94, BB 109 — 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).
Result: wOBA .253 → .222; ISO .000 → .000; BABIP .292 → .252. 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 AATennessee Smokies · 151 PAwOBA .218 → .197 (−21)K% 14.6% → 18.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.57% | ÷0.975 | ×1.220 | — | — | 18.24% |
| BB% (unintentional) /PA | 4.64% | ÷0.982 | ×0.680 | — | ×0.998 | 3.20% |
| HBP% /PA | 1.32% | — | ×0.840 | — | ×0.998 | 1.11% |
| Singles /BIP | 16.95% | ÷0.990 | ×0.920 | ×1.050 | ×0.998 | 16.51% |
| Doubles /BIP | 3.39% | ÷0.966 | ×0.910 | ×1.050 | ×0.998 | 3.35% |
| Triples /BIP | 0.00% | ÷1.128 | ×0.880 | ×1.050 | ×0.998 | 0.00% |
| Home runs /BIP | 1.69% | ÷0.947 | ×0.800 | — | ×0.998 | 1.43% |
Factors used: league row SL. Park (home-season share, regressed): HR 89, 1B 98, 2B 93, 3B 126, K 95, BB 96 — 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 ×1.050.
Result: wOBA .218 → .197; ISO .071 → .064; BABIP .207 → .201. 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 AATennessee Smokies · 230 PAwOBA .279 → .252 (−27)K% 18.7% → 23.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.70% | ÷0.981 | ×1.220 | — | — | 23.25% |
| BB% (unintentional) /PA | 7.83% | ÷0.976 | ×0.680 | — | ×1.012 | 5.52% |
| HBP% /PA | 1.30% | — | ×0.840 | — | ×1.012 | 1.11% |
| Singles /BIP | 24.22% | ÷1.016 | ×0.920 | ×1.042 | ×1.012 | 23.13% |
| Doubles /BIP | 6.21% | ÷1.000 | ×0.910 | ×1.042 | ×1.012 | 5.96% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.880 | ×1.042 | ×1.012 | 0.00% |
| Home runs /BIP | 0.62% | ÷0.882 | ×0.800 | — | ×1.012 | 0.57% |
Factors used: league row SL. Park (home-season share, regressed): HR 76, 1B 103, 2B 100, 3B 130, K 96, 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 ×1.042.
Result: wOBA .279 → .252; ISO .064 → .061; BABIP .302 → .289. 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 A+Myrtle Beach Pelicans · 164 PAwOBA .213 → .173 (−40)K% 17.7% → 26.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.68% | ÷0.965 | ×1.420 | — | — | 26.03% |
| BB% (unintentional) /PA | 4.27% | ÷1.043 | ×0.630 | — | ×0.998 | 2.57% |
| HBP% /PA | 3.05% | — | ×0.860 | — | ×0.998 | 2.62% |
| Singles /BIP | 20.49% | ÷1.044 | ×0.940 | ×1.038 | ×0.998 | 19.11% |
| Doubles /BIP | 1.64% | ÷0.920 | ×0.830 | ×1.038 | ×0.998 | 1.53% |
| Triples /BIP | 0.00% | ÷1.038 | ×0.800 | ×1.038 | ×0.998 | 0.00% |
| Home runs /BIP | 0.82% | ÷1.311 | ×0.900 | — | ×0.998 | 0.56% |
Factors used: league row CAR. Park (home-season share, regressed): HR 162, 1B 109, 2B 84, 3B 108, K 93, BB 109 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.038.
Result: wOBA .213 → .173; ISO .033 → .024; BABIP .223 → .208. 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 — .