José Godoy
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2023 | 28 | AAABAL | 132 | .267/.356/.397 | 4 | 2 | 70 | — | .225/.295/.317 |
| 2024 | 29 | AAA/INTL2 orgs | 108 | .151/.255/.226 | 1 | 0 | 30 | — | .140/.210/.158 |
| 2025 | 30 | INTLAguilas del Z… | 87 | .211/.294/.316 | 2 | 2 | 72 | — |
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 | 17 | ROK | DSL Cardinals | — | 181 | 142 | 34 | 4 | 1 | 0 | 32 | 22 | 4 | 0 | 2 | 239 | 393 | 282 | 675 | 42 | 276 | 12 | 18 | 322 | 38 | — | — | — | — | — | — |
| 2013 | 18 | ROK | GCL Cardinals | — | 133 | 114 | 30 | 5 | 0 | 0 | 14 | 18 | 5 | 1 | 0 | 263 | 368 | 307 | 675 | 44 | 312 | 14 | 11 | 319 | 50 | — | — | — | — | — | — |
| 2014 | 19 | ROK | Johnson City Cardinals | — | 137 | 118 | 39 | 4 | 0 | 1 | 18 | 11 | 1 | 0 | 0 | 331 | 423 | 390 | 813 | 59 | 358 | 8 | 13 | 374 | 88 | — | — | — | — | — | — |
| 2016 | 21 | A | Peoria Chiefs | — | 327 | 287 | 84 | 11 | 0 | 1 | 29 | 34 | 8 | 1 | 1 | 293 | 373 | 341 | 715 | 49 | 327 | 10 | 9 | 329 | 82 | — | — | — | — | — | — |
| 2017 | 22 | A+ | Palm Beach Cardinals | — | 265 | 238 | 63 | 14 | 0 | 4 | 16 | 36 | 3 | 1 | 2 | 265 | 319 | 374 | 693 | 109 | 295 | 14 | 6 | 303 | 74 | — | — | — | — | — | — |
| 2018 | 23 | AA | Springfield Cardinals | — | 33 | 31 | 7 | 1 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 226 | 273 | 258 | 531 | 32 | 250 | 9 | 6 | 246 | 28 | — | — | — | — | — | — |
| 2018 | 23 | A+ | Palm Beach Cardinals | — | 249 | 211 | 61 | 10 | 1 | 2 | 25 | 37 | 7 | 2 | 0 | 289 | 383 | 374 | 757 | 85 | 341 | 15 | 10 | 340 | 91 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Caribes de Anzoategui | — | 76 | 66 | 24 | 3 | 0 | 1 | 7 | 7 | 3 | 0 | 0 | 364 | 447 | 455 | 902 | 91 | 397 | 9 | 9 | 409 | 163 | — | — | — | — | — | — |
| 2019 | 24 | AAA | Memphis Redbirds | — | 87 | 79 | 25 | 6 | 0 | 2 | 7 | 16 | 0 | 0 | 0 | 316 | 372 | 468 | 840 | 152 | 371 | 18 | 8 | 369 | 95 | — | — | — | — | — | — |
| 2019 | 24 | AA | Springfield Cardinals | — | 188 | 160 | 41 | 10 | 0 | 5 | 18 | 30 | 6 | 0 | 1 | 256 | 353 | 412 | 766 | 156 | 281 | 16 | 10 | 339 | 71 | — | — | — | — | — | — |
| 2021 | 26 | MLB | Seattle Mariners | — | 40 | 37 | 6 | 1 | 0 | 0 | 3 | 14 | 0 | 0 | 0 | 162 | 225 | 189 | 414 | 27 | 261 | 35 | 8 | 198 | 21 | -4 | +0 | -0 | +7 | +1 | 0.3 |
| 2021 | 26 | AAA | Tacoma Rainiers | — | 325 | 298 | 85 | 15 | 1 | 7 | 19 | 57 | 3 | 1 | 0 | 285 | 334 | 413 | 747 | 128 | 328 | 18 | 6 | 329 | 83 | — | — | — | — | — | — |
| 2022 | 27 | MLB | Pittsburgh Pirates | — | 22 | 20 | 1 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 50 | 136 | 50 | 186 | 91 | 41 | 9 | 105 | -43 | -4 | +0 | +1 | +5 | +0 | 0.3 | |
| 2022 | 27 | AAA | Indianapolis Indians | — | 193 | 176 | 40 | 6 | 0 | 6 | 14 | 48 | 2 | 0 | 0 | 227 | 292 | 364 | 655 | 136 | 276 | 25 | 7 | 294 | 38 | — | — | — | — | — | — |
| 2022 | 27 | INTL | Aguilas del Zulia | — | 56 | 48 | 11 | 2 | 1 | 0 | 8 | 10 | 0 | 0 | 0 | 229 | 339 | 312 | 652 | 83 | 289 | 18 | 14 | 304 | 92 | — | — | — | — | — | — |
| 2023 | 28 | AAA | Norfolk Tides | — | 132 | 116 | 31 | 3 | 0 | 4 | 15 | 22 | 1 | 2 | 1 | 267 | 356 | 397 | 753 | 129 | 300 | 17 | 11 | 342 | 70 | — | — | — | — | — | — |
| 2024 | 29 | AAA | Lehigh Valley IronPigs | — | 63 | 56 | 8 | 1 | 0 | 0 | 4 | 12 | 2 | 0 | 0 | 143 | 226 | 161 | 387 | 18 | 182 | 19 | 6 | 189 | -4 | — | — | — | — | — | — |
| 2024 | 29 | INTL | Aguilas del Zulia | — | 45 | 37 | 6 | 3 | 0 | 1 | 6 | 5 | 1 | 0 | 0 | 162 | 295 | 324 | 620 | 162 | 161 | 11 | 13 | 281 | 77 | — | — | — | — | — | — |
| 2025 | 30 | INTL | Aguilas del Zulia | — | 87 | 76 | 16 | 2 | 0 | 2 | 7 | 15 | 2 | 2 | 1 | 211 | 294 | 316 | 610 | 105 | 233 | 17 | 8 | 275 | 72 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 62 | 57 | 7 | 1 | 0 | 0 | 5 | 23 | 0 | 0 | 0 | 123 | 194 | 140 | 334 | 18 | 206 | 37 | 8 | 165 | -2 | -8 | +0 | +1 | +11 | +1 | 0.6 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 17 | ROK MLE | DSL Cardinals | — | 181 | 153 | 25 | 3 | 1 | 0 | 21 | 27 | 4 | 0 | 2 | 163 | 281 | 196 | 477 | 33 | 184 | 15 | 12 | 225 | 38 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | GCL Cardinals | — | 133 | 119 | 25 | 4 | 0 | 0 | 9 | 26 | 5 | 1 | 0 | 210 | 293 | 244 | 537 | 34 | 266 | 20 | 7 | 242 | 50 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | Johnson City Cardinals | — | 137 | 124 | 34 | 3 | 0 | 1 | 12 | 16 | 1 | 0 | 0 | 274 | 343 | 323 | 666 | 48 | 310 | 12 | 9 | 298 | 88 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Peoria Chiefs | — | 327 | 297 | 81 | 10 | 0 | 1 | 19 | 45 | 8 | 1 | 1 | 273 | 333 | 316 | 650 | 44 | 310 | 14 | 6 | 290 | 82 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Palm Beach Cardinals | — | 265 | 242 | 60 | 14 | 0 | 4 | 12 | 51 | 3 | 1 | 2 | 248 | 292 | 355 | 647 | 107 | 284 | 19 | 5 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 23 | AA MLE | Springfield Cardinals | — | 33 | 32 | 7 | 1 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 219 | 242 | 250 | 492 | 31 | 228 | 12 | 3 | 209 | 28 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | Palm Beach Cardinals | — | 249 | 219 | 59 | 11 | 1 | 2 | 17 | 51 | 7 | 2 | 0 | 269 | 342 | 356 | 698 | 87 | 324 | 20 | 7 | 302 | 91 | — | — | — | — | — | — |
| 2019 | 24 | AAA MLE | Memphis Redbirds | — | 87 | 81 | 22 | 5 | 0 | 2 | 5 | 21 | 0 | 0 | 0 | 272 | 314 | 407 | 721 | 136 | 338 | 24 | 6 | 308 | 95 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | Springfield Cardinals | — | 188 | 165 | 36 | 8 | 0 | 4 | 13 | 37 | 6 | 0 | 1 | 218 | 299 | 339 | 638 | 121 | 238 | 20 | 7 | 273 | 71 | — | — | — | — | — | — |
| 2021 | 26 | MLB MLE | Seattle Mariners | — | 40 | 37 | 6 | 1 | 0 | 0 | 3 | 14 | 0 | 0 | 0 | 162 | 225 | 189 | 414 | 27 | 261 | 35 | 8 | 199 | 21 | -4 | +0 | -0 | +7 | +1 | 0.3 |
| 2021 | 26 | AAA MLE | Tacoma Rainiers | — | 325 | 304 | 81 | 13 | 1 | 5 | 13 | 69 | 3 | 1 | 0 | 266 | 303 | 365 | 668 | 99 | 318 | 21 | 4 | 291 | 83 | — | — | — | — | — | — |
| 2022 | 27 | MLB MLE | Pittsburgh Pirates | — | 22 | 20 | 1 | 0 | 0 | 0 | 2 | 9 | 0 | 0 | 0 | 50 | 136 | 50 | 186 | 91 | 41 | 9 | 105 | -43 | -4 | +0 | +1 | +5 | +0 | 0.3 | |
| 2022 | 27 | AAA MLE | Indianapolis Indians | — | 193 | 182 | 33 | 5 | 0 | 4 | 8 | 59 | 2 | 0 | 0 | 181 | 224 | 275 | 499 | 93 | 242 | 31 | 4 | 224 | 38 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Norfolk Tides | — | 132 | 120 | 27 | 2 | 0 | 3 | 11 | 27 | 1 | 2 | 1 | 225 | 295 | 317 | 612 | 92 | 267 | 20 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2024 | 29 | AAA MLE | Lehigh Valley IronPigs | — | 63 | 57 | 8 | 1 | 0 | 0 | 3 | 14 | 2 | 0 | 0 | 140 | 210 | 158 | 368 | 18 | 173 | 22 | 5 | 163 | -4 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | DSL Cardinals | — | 181 | 153 | 25 | 3 | 1 | 0 | 21 | 27 | 4 | 0 | 2 | 163 | 281 | 196 | 477 | 33 | 194 | 15 | 12 | 225 | 38 | — | — | — | — | — | — |
| 2012 | 17 | ROK RAW | DSL Cardinals | — | 181 | 142 | 34 | 4 | 1 | 0 | 32 | 22 | 4 | 0 | 2 | 239 | 393 | 282 | 675 | 42 | 276 | 12 | 18 | 322 | 38 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | GCL Cardinals | — | 133 | 119 | 25 | 4 | 0 | 0 | 9 | 26 | 5 | 1 | 0 | 210 | 293 | 244 | 537 | 34 | 269 | 20 | 7 | 242 | 50 | — | — | — | — | — | — |
| 2013 | 18 | ROK RAW | GCL Cardinals | — | 133 | 114 | 30 | 5 | 0 | 0 | 14 | 18 | 5 | 1 | 0 | 263 | 368 | 307 | 675 | 44 | 312 | 14 | 11 | 319 | 50 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | Johnson City Cardinals | — | 137 | 124 | 34 | 3 | 0 | 1 | 12 | 16 | 1 | 0 | 0 | 274 | 343 | 323 | 666 | 48 | 308 | 12 | 9 | 298 | 88 | — | — | — | — | — | — |
| 2014 | 19 | ROK RAW | Johnson City Cardinals | — | 137 | 118 | 39 | 4 | 0 | 1 | 18 | 11 | 1 | 0 | 0 | 331 | 423 | 390 | 813 | 59 | 358 | 8 | 13 | 374 | 88 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Peoria Chiefs | — | 327 | 297 | 81 | 10 | 0 | 1 | 19 | 45 | 8 | 1 | 1 | 273 | 333 | 316 | 650 | 44 | 316 | 14 | 6 | 290 | 82 | — | — | — | — | — | — |
| 2016 | 21 | A RAW | Peoria Chiefs | — | 327 | 287 | 84 | 11 | 0 | 1 | 29 | 34 | 8 | 1 | 1 | 293 | 373 | 341 | 715 | 49 | 327 | 10 | 9 | 329 | 82 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Palm Beach Cardinals | — | 265 | 242 | 60 | 14 | 0 | 4 | 12 | 51 | 3 | 1 | 2 | 248 | 292 | 355 | 647 | 107 | 296 | 19 | 5 | 278 | 74 | — | — | — | — | — | — |
| 2017 | 22 | A+ RAW | Palm Beach Cardinals | — | 265 | 238 | 63 | 14 | 0 | 4 | 16 | 36 | 3 | 1 | 2 | 265 | 319 | 374 | 693 | 109 | 295 | 14 | 6 | 303 | 74 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 358 | 319 | 83 | 15 | 1 | 3 | 23 | 69 | 10 | 2 | 0 | 260 | 330 | 342 | 671 | 82 | 323 | 19 | 6 | 291 | 83 | — | — | — | — | — | — |
| 2018 | 23 | A+ RAW | 3 teams | — | 358 | 308 | 92 | 14 | 1 | 3 | 34 | 47 | 10 | 2 | 0 | 299 | 386 | 380 | 766 | 81 | 344 | 13 | 9 | 346 | 83 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 275 | 246 | 57 | 13 | 0 | 5 | 18 | 58 | 6 | 0 | 1 | 232 | 300 | 346 | 646 | 114 | 278 | 21 | 7 | 284 | 78 | — | — | — | — | — | — |
| 2019 | 24 | AA RAW | 2 teams | — | 275 | 239 | 66 | 16 | 0 | 7 | 25 | 46 | 6 | 0 | 1 | 276 | 359 | 431 | 790 | 155 | 311 | 17 | 9 | 349 | 78 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 365 | 341 | 87 | 14 | 1 | 5 | 16 | 83 | 3 | 1 | 0 | 255 | 294 | 346 | 640 | 91 | 319 | 23 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2021 | 26 | AAA RAW | 2 teams | — | 365 | 335 | 91 | 16 | 1 | 7 | 22 | 71 | 3 | 1 | 0 | 272 | 322 | 388 | 710 | 116 | 322 | 19 | 6 | 315 | 76 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | 3 teams | — | 271 | 256 | 44 | 7 | 0 | 5 | 12 | 85 | 2 | 0 | 0 | 172 | 215 | 258 | 473 | 86 | 234 | 31 | 4 | 212 | 29 | — | — | — | — | — | — |
| 2022 | 27 | AAA RAW | 3 teams | — | 271 | 244 | 52 | 8 | 1 | 6 | 24 | 67 | 2 | 0 | 0 | 213 | 289 | 328 | 617 | 115 | 267 | 25 | 9 | 281 | 29 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Norfolk Tides | — | 132 | 120 | 27 | 2 | 0 | 3 | 11 | 27 | 1 | 2 | 1 | 225 | 295 | 317 | 612 | 92 | 267 | 20 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2023 | 28 | AAA RAW | Norfolk Tides | — | 132 | 116 | 31 | 3 | 0 | 4 | 15 | 22 | 1 | 2 | 1 | 267 | 356 | 397 | 753 | 129 | 300 | 17 | 11 | 342 | 70 | — | — | — | — | — | — |
| 2024 | 29 | AAA MLE | 2 teams | — | 108 | 98 | 14 | 2 | 0 | 0 | 5 | 24 | 3 | 0 | 0 | 143 | 208 | 163 | 371 | 20 | 189 | 22 | 5 | 163 | -4 | — | — | — | — | — | — |
| 2024 | 29 | AAA RAW | 2 teams | — | 108 | 93 | 14 | 4 | 0 | 1 | 10 | 17 | 3 | 0 | 0 | 151 | 255 | 226 | 481 | 75 | 173 | 16 | 9 | 227 | -4 | — | — | — | — | — | — |
| 2025 | 30 | INTL MLE | Aguilas del Zulia | — | 87 | 76 | 16 | 2 | 0 | 2 | 7 | 15 | 2 | 2 | 1 | 211 | 294 | 316 | 610 | 105 | 233 | 17 | 8 | — | — | — | — | — | — | — | — |
| 2025 | 30 | INTL RAW | Aguilas del Zulia | — | 87 | 76 | 16 | 2 | 0 | 2 | 7 | 15 | 2 | 2 | 1 | 211 | 294 | 316 | 610 | 105 | 233 | 17 | 8 | 275 | 72 | — | — | — | — | — | — |
| 2012 | 17 | ROK MLE | DSL Cardinals | — | 181 | 154 | 25 | 3 | 1 | 0 | 21 | 27 | 4 | 0 | 2 | 162 | 281 | 195 | 476 | 32 | 184 | 15 | 12 | 225 | 38 | — | — | — | — | — | — |
| 2013 | 18 | ROK MLE | GCL Cardinals | — | 133 | 118 | 25 | 4 | 0 | 0 | 9 | 26 | 5 | 1 | 0 | 212 | 293 | 246 | 539 | 34 | 266 | 20 | 7 | 242 | 50 | — | — | — | — | — | — |
| 2014 | 19 | ROK MLE | Johnson City Cardinals | — | 137 | 123 | 34 | 3 | 0 | 1 | 12 | 16 | 1 | 0 | 0 | 276 | 343 | 325 | 668 | 49 | 310 | 12 | 9 | 298 | 88 | — | — | — | — | — | — |
| 2016 | 21 | A MLE | Peoria Chiefs | — | 327 | 297 | 81 | 10 | 0 | 1 | 19 | 45 | 8 | 1 | 1 | 273 | 333 | 316 | 650 | 44 | 310 | 14 | 6 | 290 | 82 | — | — | — | — | — | — |
| 2017 | 22 | A+ MLE | Palm Beach Cardinals | — | 265 | 248 | 60 | 14 | 0 | 4 | 12 | 51 | 3 | 1 | 2 | 242 | 292 | 347 | 639 | 105 | 284 | 19 | 5 | 278 | 74 | — | — | — | — | — | — |
| 2018 | 23 | A+ MLE | 3 teams | — | 358 | 322 | 83 | 15 | 1 | 3 | 23 | 69 | 10 | 2 | 0 | 258 | 330 | 339 | 668 | 81 | 313 | 19 | 6 | 291 | 83 | — | — | — | — | — | — |
| 2019 | 24 | AA MLE | 2 teams | — | 275 | 249 | 57 | 13 | 0 | 5 | 18 | 58 | 6 | 0 | 1 | 229 | 300 | 341 | 641 | 112 | 270 | 21 | 7 | 284 | 78 | — | — | — | — | — | — |
| 2021 | 26 | AAA MLE | 2 teams | — | 365 | 343 | 87 | 14 | 1 | 5 | 16 | 83 | 3 | 1 | 0 | 254 | 294 | 344 | 638 | 90 | 312 | 23 | 4 | 281 | 76 | — | — | — | — | — | — |
| 2022 | 27 | AAA MLE | 3 teams | — | 271 | 255 | 44 | 7 | 0 | 5 | 12 | 85 | 2 | 0 | 0 | 173 | 215 | 259 | 474 | 86 | 227 | 31 | 4 | 212 | 29 | — | — | — | — | — | — |
| 2023 | 28 | AAA MLE | Norfolk Tides | — | 132 | 119 | 27 | 2 | 0 | 3 | 11 | 27 | 1 | 2 | 1 | 227 | 295 | 319 | 615 | 92 | 267 | 20 | 8 | 271 | 70 | — | — | — | — | — | — |
| 2024 | 29 | AAA MLE | 2 teams | — | 108 | 99 | 14 | 2 | 0 | 0 | 5 | 24 | 3 | 0 | 0 | 141 | 208 | 162 | 369 | 20 | 173 | 22 | 5 | 163 | -4 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 29 | AAA MLE | 2 teams | — | 108 | 99 | 14 | 2 | 0 | 0 | 5 | 24 | 3 | 0 | 0 | 141 | 208 | 162 | 369 | 20 | 173 | 22 | 5 | 163 | -4 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 62 | 57 | 7 | 1 | 0 | 0 | 5 | 23 | 0 | 0 | 0 | 123 | 194 | 140 | 334 | 18 | 206 | 37 | 8 | 165 | 60 | -8 | +0 | +1 | +11 | +1 | 0.6 | |
| / 162G | — | A+C | — | 650 | 598 | 73 | 10 | 0 | 0 | 52 | 241 | 0 | 0 | 0 | 122 | 192 | 139 | 331 | 17 | 204 | 37 | 8 | 165 | 60 | -79 | +0 | +11 | +119 | +14 | 6.6 | |
| Career | — | MLE | — | 2639 | 2391 | 553 | 89 | 3 | 29 | 165 | 526 | 48 | 10 | 8 | 231 | 294 | 307 | 602 | 76 | 283 | 20 | 6 | 257 | 60 | -8 | +0 | +1 | +11 | +1 | 0.6 | |
| / 162G | — | MLE | — | 650 | 589 | 136 | 22 | 1 | 7 | 41 | 130 | 12 | 2 | 2 | 231 | 294 | 307 | 602 | 76 | 283 | 20 | 6 | 257 | 60 | -79 | +0 | +11 | +119 | +14 | 6.6 | |
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 AAALehigh Valley IronPigs · 63 PAwOBA .184 → .163 (−22)K% 19.0% → 22.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.05% | ÷1.022 | ×1.200 | — | — | 22.36% |
| BB% (unintentional) /PA | 6.35% | ÷1.021 | ×0.690 | — | ×0.972 | 4.17% |
| HBP% /PA | 3.17% | — | ×0.940 | — | ×0.972 | 2.90% |
| Singles /BIP | 15.91% | ÷0.985 | ×0.930 | ×1.050 | ×0.972 | 15.33% |
| Doubles /BIP | 2.27% | ÷0.960 | ×0.830 | ×1.050 | ×0.972 | 2.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.970 | ×1.050 | ×0.972 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.989 | ×0.700 | — | ×0.972 | 0.00% |
Factors used: league row International League. Park (home-season share, regressed): HR 98, 1B 97, 2B 92, 3B 130, K 104, BB 104 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .184 → .163; ISO .018 → .016; BABIP .182 → .173. 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 AAANorfolk Tides · 132 PAwOBA .333 → .271 (−62)K% 16.7% → 20.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.980 | ×1.200 | — | — | 20.41% |
| BB% (unintentional) /PA | 11.36% | ÷0.948 | ×0.690 | — | ×0.982 | 8.12% |
| HBP% /PA | 0.76% | — | ×0.940 | — | ×0.982 | 0.70% |
| Singles /BIP | 25.53% | ÷1.019 | ×0.930 | ×1.017 | ×0.982 | 23.27% |
| Doubles /BIP | 3.19% | ÷1.015 | ×0.830 | ×1.017 | ×0.982 | 2.60% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×1.017 | ×0.982 | 0.00% |
| Home runs /BIP | 4.26% | ÷0.995 | ×0.700 | — | ×0.982 | 2.94% |
Factors used: league row International League. Park (home-season share, regressed): HR 99, 1B 104, 2B 103, 3B 80, K 96, BB 90 — 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 ×1.017.
Result: wOBA .333 → .271; ISO .129 → .092; BABIP .300 → .267. 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 AAAIndianapolis Indians · 193 PAwOBA .283 → .224 (−60)K% 24.9% → 30.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.87% | ÷0.982 | ×1.200 | — | — | 30.40% |
| BB% (unintentional) /PA | 6.22% | ÷1.058 | ×0.690 | — | ×0.992 | 4.02% |
| HBP% /PA | 1.04% | — | ×0.940 | — | ×0.992 | 0.97% |
| Singles /BIP | 21.88% | ÷1.087 | ×0.930 | ×1.046 | ×0.992 | 19.42% |
| Doubles /BIP | 4.69% | ÷0.964 | ×0.830 | ×1.046 | ×0.992 | 4.19% |
| Triples /BIP | 0.00% | ÷0.942 | ×0.970 | ×1.046 | ×0.992 | 0.00% |
| Home runs /BIP | 4.69% | ÷1.013 | ×0.700 | — | ×0.992 | 3.21% |
Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 117, 2B 93, 3B 88, K 96, BB 112 — 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 ×1.046.
Result: wOBA .283 → .224; ISO .136 → .098; BABIP .276 → .242. 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 AAATacoma Rainiers · 325 PAwOBA .324 → .291 (−33)K% 17.5% → 21.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.54% | ÷0.994 | ×1.200 | — | — | 21.18% |
| BB% (unintentional) /PA | 5.85% | ÷1.045 | ×0.690 | — | ×1.003 | 3.87% |
| HBP% /PA | 0.92% | — | ×0.940 | — | ×1.003 | 0.87% |
| Singles /BIP | 25.73% | ÷0.952 | ×0.930 | ×1.028 | ×1.003 | 25.91% |
| Doubles /BIP | 6.22% | ÷0.989 | ×0.830 | ×1.028 | ×1.003 | 5.38% |
| Triples /BIP | 0.41% | ÷0.977 | ×0.920 | ×1.028 | ×1.003 | 0.40% |
| Home runs /BIP | 2.90% | ÷0.970 | ×0.700 | — | ×1.003 | 2.10% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 90, 2B 98, 3B 95, K 99, BB 109 — 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 ×1.028.
Result: wOBA .324 → .291; ISO .128 → .101; BABIP .328 → .318. 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 AASpringfield Cardinals · 188 PAwOBA .336 → .273 (−63)K% 16.0% → 19.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.96% | ÷0.985 | ×1.220 | — | — | 19.77% |
| BB% (unintentional) /PA | 9.57% | ÷0.965 | ×0.700 | — | ×0.998 | 6.93% |
| HBP% /PA | 3.19% | — | ×0.870 | — | ×0.998 | 2.77% |
| Singles /BIP | 20.00% | ÷0.974 | ×0.920 | ×0.950 | ×0.998 | 17.91% |
| Doubles /BIP | 7.69% | ÷1.070 | ×0.840 | ×0.950 | ×0.998 | 5.73% |
| Triples /BIP | 0.00% | ÷1.108 | ×0.940 | ×0.950 | ×0.998 | 0.00% |
| Home runs /BIP | 3.85% | ÷1.108 | ×0.800 | — | ×0.998 | 2.77% |
Factors used: league row TL. Park (home-season share, regressed): HR 122, 1B 95, 2B 114, 3B 122, K 97, BB 93 — 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 ×0.950.
Result: wOBA .336 → .273; ISO .156 → .116; BABIP .281 → .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 AAAMemphis Redbirds · 87 PAwOBA .364 → .308 (−55)K% 18.4% → 24.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.39% | ÷0.986 | ×1.290 | — | — | 24.07% |
| BB% (unintentional) /PA | 8.05% | ÷1.035 | ×0.710 | — | ×1.033 | 5.70% |
| HBP% /PA | 0.00% | — | ×0.980 | — | ×1.033 | 0.00% |
| Singles /BIP | 26.98% | ÷1.014 | ×0.900 | — | ×1.033 | 24.75% |
| Doubles /BIP | 9.52% | ÷0.917 | ×0.810 | — | ×1.033 | 8.69% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | — | ×1.033 | 0.00% |
| Home runs /BIP | 3.17% | ÷0.982 | ×0.780 | — | ×1.033 | 2.60% |
Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 103, 2B 83, 3B 80, K 97, BB 107 — 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).
Result: wOBA .364 → .308; ISO .152 → .128; BABIP .371 → .338. 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 A+Palm Beach Cardinals · 249 PAwOBA .332 → .302 (−29)K% 14.9% → 20.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.86% | ÷1.036 | ×1.420 | — | — | 20.37% |
| BB% (unintentional) /PA | 9.64% | ÷1.045 | ×0.750 | — | ×0.988 | 6.83% |
| HBP% /PA | 2.81% | — | ×0.930 | — | ×0.988 | 2.58% |
| Singles /BIP | 27.59% | ÷1.027 | ×0.920 | ×1.050 | ×0.988 | 25.64% |
| Doubles /BIP | 5.75% | ÷0.942 | ×0.960 | ×1.050 | ×0.988 | 6.08% |
| Triples /BIP | 0.57% | ÷0.900 | ×0.810 | ×1.050 | ×0.988 | 0.54% |
| Home runs /BIP | 1.15% | ÷0.852 | ×0.880 | — | ×0.988 | 1.17% |
Factors used: league row FSL. Park (home-season share, regressed): HR 70, 1B 105, 2B 88, 3B 80, K 107, BB 109 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .332 → .302; ISO .085 → .088; BABIP .341 → .324. 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 AASpringfield Cardinals · 33 PAwOBA .240 → .209 (−31)K% 9.1% → 11.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 9.09% | ÷1.003 | ×1.220 | — | — | 11.06% |
| BB% (unintentional) /PA | 6.06% | ÷1.026 | ×0.700 | — | ×1.012 | 4.18% |
| HBP% /PA | 0.00% | — | ×0.870 | — | ×1.012 | 0.00% |
| Singles /BIP | 21.43% | ÷1.014 | ×0.920 | — | ×1.012 | 19.67% |
| Doubles /BIP | 3.57% | ÷0.973 | ×0.840 | — | ×1.012 | 3.12% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.940 | — | ×1.012 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.215 | ×0.800 | — | ×1.012 | 0.00% |
Factors used: league row TL. Park (home-season share, regressed): HR 143, 1B 103, 2B 95, 3B 80, K 101, BB 105 — 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).
Result: wOBA .240 → .209; ISO .032 → .028; 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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .