Tuffy Gosewisch
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 33 | AAASEA | 321 | .229/.317/.351 | 4 | 1 | 40 | — | .174/.244/.260 | |
| 2017 | 33 | MLBSEA | 31 | .071/.103/.071 | 0 | 0 | -59 | 0.2 | ||
| 2018 | 34 | AAASyracuse Chie… | 260 | .219/.314/.335 | 3 | 0 | 38 | — | .172/.243/.258 | |
| 2019 | 35 | AAASD | 134 | .205/.301/.308 | 3 | 0 | 22 | — | .149/.226/.215 | |
| 2020 | 36 | No MLB games played | ||||||||
| 2021 | 37 | No MLB games played | ||||||||
| 2022 | 38 | No MLB games played | ||||||||
| 2023 | 39 | No MLB games played | ||||||||
| 2024 | 40 | No MLB games played | ||||||||
| 2025 | 41 | No MLB games played | ||||||||
| 2026 | 42 | 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. 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) | |||||||||||||||||||||||||||||||
| 2006 | 22 | A+ | Clearwater Threshers | — | 339 | 305 | 77 | 14 | 0 | 9 | 24 | 55 | 6 | 1 | 0 | 252 | 319 | 387 | 706 | 134 | 280 | 16 | 7 | 315 | 68 | — | — | — | — | — | — |
| 2007 | 23 | A | Lakewood BlueClaws | — | 381 | 339 | 76 | 24 | 2 | 5 | 29 | 69 | 7 | 0 | 3 | 224 | 299 | 351 | 650 | 127 | 264 | 18 | 8 | 290 | 42 | — | — | — | — | — | — |
| 2008 | 24 | A+ | Clearwater Threshers | — | 374 | 330 | 72 | 19 | 1 | 3 | 31 | 44 | 5 | 2 | 1 | 218 | 295 | 309 | 604 | 91 | 240 | 12 | 8 | 272 | 45 | — | — | — | — | — | — |
| 2009 | 25 | AAA | Lehigh Valley IronPigs | — | 57 | 55 | 11 | 3 | 0 | 0 | 2 | 13 | 0 | 0 | 0 | 200 | 228 | 255 | 483 | 55 | 262 | 23 | 4 | 219 | 11 | — | — | — | — | — | — |
| 2009 | 25 | AA | Reading Phillies | — | 229 | 205 | 50 | 17 | 0 | 1 | 14 | 34 | 7 | 0 | 1 | 244 | 314 | 341 | 656 | 98 | 288 | 15 | 6 | 296 | 57 | — | — | — | — | — | — |
| 2010 | 26 | AA | Reading Phillies | — | 370 | 311 | 75 | 22 | 1 | 9 | 49 | 67 | 5 | 0 | 0 | 241 | 353 | 405 | 759 | 164 | 281 | 18 | 13 | 339 | 70 | — | — | — | — | — | — |
| 2011 | 27 | AA | Reading Phillies | — | 406 | 369 | 91 | 19 | 0 | 13 | 20 | 61 | 8 | 4 | 6 | 247 | 300 | 404 | 704 | 157 | 259 | 15 | 5 | 307 | 62 | — | — | — | — | — | — |
| 2012 | 28 | AAA | Las Vegas 51s | — | 324 | 295 | 65 | 22 | 1 | 5 | 18 | 59 | 8 | 0 | 1 | 220 | 283 | 353 | 636 | 132 | 258 | 18 | 6 | 285 | 34 | — | — | — | — | — | — |
| 2013 | 29 | MLB | Arizona Diamondbacks | — | 47 | 45 | 8 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 178 | 178 | 222 | 400 | 44 | 211 | 17 | 0 | 170 | -2 | -6 | +0 | +2 | +7 | +1 | 0.4 |
| 2013 | 29 | AAA | Reno Aces | — | 272 | 250 | 71 | 20 | 1 | 7 | 17 | 40 | 1 | 1 | 1 | 284 | 332 | 456 | 788 | 172 | 309 | 15 | 6 | 343 | 63 | — | — | — | — | — | — |
| 2013 | 29 | INTL | Tigres del Licey | — | 60 | 48 | 8 | 3 | 0 | 0 | 7 | 9 | 2 | 0 | 0 | 167 | 298 | 229 | 527 | 62 | 200 | 15 | 12 | 246 | 52 | — | — | — | — | — | — |
| 2014 | 30 | MLB | Arizona Diamondbacks | — | 132 | 129 | 29 | 8 | 0 | 1 | 3 | 24 | 0 | 0 | 0 | 225 | 242 | 310 | 553 | 85 | 269 | 18 | 2 | 247 | 48 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2015 | 31 | MLB | Arizona Diamondbacks | — | 138 | 128 | 27 | 6 | 0 | 1 | 8 | 23 | 1 | 2 | 1 | 211 | 263 | 281 | 544 | 70 | 248 | 17 | 6 | 248 | 50 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2016 | 32 | MLB | Arizona Diamondbacks | — | 99 | 90 | 14 | 1 | 1 | 3 | 7 | 22 | 1 | 0 | 0 | 156 | 224 | 289 | 513 | 133 | 169 | 22 | 7 | 231 | 39 | -7 | +0 | -0 | +6 | +2 | 0.1 |
| 2016 | 32 | AAA | Reno Aces | — | 219 | 199 | 68 | 13 | 1 | 9 | 15 | 30 | 4 | 0 | 0 | 342 | 399 | 553 | 952 | 211 | 369 | 14 | 7 | 416 | 87 | — | — | — | — | — | — |
| 2017 | 33 | MLB | Seattle Mariners | — | 31 | 28 | 2 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 71 | 103 | 71 | 175 | 143 | 45 | 3 | 81 | -59 | -6 | +0 | +0 | +6 | +1 | 0.2 | |
| 2017 | 33 | AAA | Tacoma Rainiers | — | 321 | 279 | 64 | 22 | 0 | 4 | 29 | 68 | 7 | 1 | 0 | 229 | 317 | 351 | 669 | 122 | 284 | 21 | 9 | 300 | 40 | — | — | — | — | — | — |
| 2018 | 34 | AAA | Syracuse Chiefs | — | 260 | 224 | 49 | 17 | 0 | 3 | 27 | 56 | 4 | 0 | 1 | 219 | 314 | 335 | 649 | 116 | 274 | 22 | 10 | 293 | 38 | — | — | — | — | — | — |
| 2019 | 35 | AAA | San Antonio Missions | — | 134 | 117 | 24 | 3 | 0 | 3 | 11 | 34 | 5 | 0 | 1 | 205 | 301 | 308 | 608 | 103 | 259 | 25 | 8 | 282 | 22 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 447 | 420 | 80 | 17 | 1 | 5 | 19 | 91 | 2 | 2 | 1 | 190 | 229 | 271 | 500 | 81 | 230 | 20 | 4 | 224 | 38 | -33 | +0 | +9 | +24 | +10 | 1.0 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2006 | 22 | A+ MLE | Clearwater Threshers | — | 339 | 311 | 69 | 13 | 0 | 8 | 18 | 78 | 6 | 1 | 0 | 222 | 278 | 341 | 618 | 119 | 264 | 23 | 5 | 268 | 68 | — | — | — | — | — | — |
| 2007 | 23 | A MLE | Lakewood BlueClaws | — | 381 | 349 | 65 | 19 | 2 | 4 | 19 | 93 | 7 | 0 | 3 | 186 | 243 | 287 | 529 | 100 | 232 | 24 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2008 | 24 | A+ MLE | Clearwater Threshers | — | 374 | 339 | 67 | 18 | 1 | 3 | 22 | 62 | 5 | 2 | 1 | 198 | 257 | 283 | 540 | 86 | 221 | 17 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2009 | 25 | AAA MLE | Lehigh Valley IronPigs | — | 57 | 56 | 9 | 2 | 0 | 0 | 1 | 16 | 0 | 0 | 0 | 161 | 175 | 196 | 372 | 36 | 246 | 28 | 2 | 184 | 11 | — | — | — | — | — | — |
| 2009 | 25 | AA MLE | Reading Phillies | — | 229 | 210 | 47 | 15 | 0 | 1 | 9 | 41 | 7 | 0 | 1 | 224 | 279 | 310 | 588 | 86 | 266 | 18 | 4 | 253 | 57 | — | — | — | — | — | — |
| 2010 | 26 | AA MLE | Reading Phillies | — | 370 | 326 | 69 | 19 | 1 | 5 | 34 | 83 | 5 | 0 | 0 | 212 | 296 | 322 | 618 | 110 | 264 | 22 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2011 | 27 | AA MLE | Reading Phillies | — | 406 | 376 | 82 | 16 | 0 | 9 | 13 | 73 | 8 | 4 | 6 | 218 | 259 | 332 | 592 | 114 | 237 | 18 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2012 | 28 | AAA MLE | Las Vegas 51s | — | 324 | 300 | 52 | 16 | 1 | 3 | 13 | 76 | 8 | 0 | 1 | 173 | 227 | 263 | 491 | 90 | 216 | 23 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2013 | 29 | MLB MLE | Arizona Diamondbacks | — | 47 | 45 | 8 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 178 | 178 | 222 | 400 | 44 | 211 | 17 | 0 | 165 | -2 | -6 | +0 | +2 | +7 | +1 | 0.4 |
| 2013 | 29 | AAA MLE | Reno Aces | — | 272 | 254 | 57 | 15 | 1 | 5 | 13 | 52 | 1 | 1 | 1 | 224 | 265 | 350 | 615 | 126 | 250 | 19 | 5 | 261 | 63 | — | — | — | — | — | — |
| 2014 | 30 | MLB MLE | Arizona Diamondbacks | — | 132 | 129 | 28 | 7 | 0 | 1 | 3 | 24 | 0 | 0 | 0 | 217 | 235 | 295 | 529 | 78 | 269 | 18 | 2 | 239 | 48 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2015 | 31 | MLB MLE | Arizona Diamondbacks | — | 138 | 128 | 26 | 5 | 0 | 1 | 8 | 23 | 1 | 2 | 1 | 203 | 255 | 266 | 521 | 62 | 248 | 17 | 6 | 242 | 50 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2016 | 32 | MLB MLE | Arizona Diamondbacks | — | 99 | 90 | 14 | 1 | 1 | 3 | 7 | 22 | 1 | 0 | 0 | 156 | 224 | 289 | 513 | 133 | 169 | 22 | 7 | 226 | 39 | -7 | +0 | -0 | +6 | +2 | 0.1 |
| 2016 | 32 | AAA MLE | Reno Aces | — | 219 | 204 | 51 | 9 | 1 | 6 | 10 | 39 | 4 | 0 | 0 | 250 | 298 | 392 | 690 | 142 | 281 | 18 | 5 | 297 | 87 | — | — | — | — | — | — |
| 2017 | 33 | MLB MLE | Seattle Mariners | — | 31 | 28 | 2 | 0 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 71 | 103 | 71 | 175 | 143 | 45 | 3 | 81 | -59 | -6 | +0 | +0 | +6 | +1 | 0.2 | |
| 2017 | 33 | AAA MLE | Tacoma Rainiers | — | 321 | 288 | 50 | 16 | 0 | 3 | 20 | 85 | 7 | 1 | 0 | 174 | 244 | 260 | 505 | 87 | 226 | 26 | 6 | 228 | 40 | — | — | — | — | — | — |
| 2018 | 34 | AAA MLE | Syracuse Chiefs | — | 260 | 233 | 40 | 14 | 0 | 2 | 18 | 64 | 4 | 0 | 1 | 172 | 243 | 258 | 501 | 86 | 218 | 25 | 7 | 225 | 38 | — | — | — | — | — | — |
| 2019 | 35 | AAA MLE | San Antonio Missions | — | 134 | 121 | 18 | 2 | 0 | 2 | 7 | 45 | 5 | 0 | 1 | 149 | 226 | 215 | 440 | 66 | 203 | 34 | 5 | 201 | 22 | — | — | — | — | — | — |
| 2006 | 22 | A+ MLE | Clearwater Threshers | — | 339 | 311 | 69 | 13 | 0 | 8 | 18 | 78 | 6 | 1 | 0 | 222 | 278 | 341 | 618 | 119 | 269 | 23 | 5 | 268 | 68 | — | — | — | — | — | — |
| 2006 | 22 | A+ RAW | Clearwater Threshers | — | 339 | 305 | 77 | 14 | 0 | 9 | 24 | 55 | 6 | 1 | 0 | 252 | 319 | 387 | 706 | 134 | 280 | 16 | 7 | 315 | 68 | — | — | — | — | — | — |
| 2007 | 23 | A MLE | Lakewood BlueClaws | — | 381 | 349 | 65 | 19 | 2 | 4 | 19 | 93 | 7 | 0 | 3 | 186 | 243 | 287 | 529 | 100 | 238 | 24 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2007 | 23 | A RAW | Lakewood BlueClaws | — | 381 | 339 | 76 | 24 | 2 | 5 | 29 | 69 | 7 | 0 | 3 | 224 | 299 | 351 | 650 | 127 | 264 | 18 | 8 | 290 | 42 | — | — | — | — | — | — |
| 2008 | 24 | A+ MLE | Clearwater Threshers | — | 374 | 339 | 67 | 18 | 1 | 3 | 22 | 62 | 5 | 2 | 1 | 198 | 257 | 283 | 540 | 86 | 230 | 17 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2008 | 24 | A+ RAW | Clearwater Threshers | — | 374 | 330 | 72 | 19 | 1 | 3 | 31 | 44 | 5 | 2 | 1 | 218 | 295 | 309 | 604 | 91 | 240 | 12 | 8 | 272 | 45 | — | — | — | — | — | — |
| 2009 | 25 | AA MLE | 2 teams | — | 286 | 266 | 56 | 17 | 0 | 1 | 10 | 57 | 7 | 0 | 1 | 211 | 258 | 286 | 544 | 75 | 264 | 20 | 3 | 239 | 48 | — | — | — | — | — | — |
| 2009 | 25 | AA RAW | 2 teams | — | 286 | 260 | 61 | 20 | 0 | 1 | 16 | 47 | 7 | 0 | 1 | 235 | 297 | 323 | 620 | 88 | 283 | 16 | 6 | 281 | 48 | — | — | — | — | — | — |
| 2010 | 26 | AA MLE | Reading Phillies | — | 370 | 326 | 69 | 19 | 1 | 5 | 34 | 83 | 5 | 0 | 0 | 212 | 296 | 322 | 618 | 110 | 269 | 22 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2010 | 26 | AA RAW | Reading Phillies | — | 370 | 311 | 75 | 22 | 1 | 9 | 49 | 67 | 5 | 0 | 0 | 241 | 353 | 405 | 759 | 164 | 281 | 18 | 13 | 339 | 70 | — | — | — | — | — | — |
| 2011 | 27 | AA MLE | Reading Phillies | — | 406 | 376 | 82 | 16 | 0 | 9 | 13 | 73 | 8 | 4 | 6 | 218 | 259 | 332 | 592 | 114 | 243 | 18 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2011 | 27 | AA RAW | Reading Phillies | — | 406 | 369 | 91 | 19 | 0 | 13 | 20 | 61 | 8 | 4 | 6 | 247 | 300 | 404 | 704 | 157 | 259 | 15 | 5 | 307 | 62 | — | — | — | — | — | — |
| 2012 | 28 | AAA MLE | Las Vegas 51s | — | 324 | 300 | 52 | 16 | 1 | 3 | 13 | 76 | 8 | 0 | 1 | 173 | 227 | 263 | 491 | 90 | 220 | 23 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2012 | 28 | AAA RAW | Las Vegas 51s | — | 324 | 295 | 65 | 22 | 1 | 5 | 18 | 59 | 8 | 0 | 1 | 220 | 283 | 353 | 636 | 132 | 258 | 18 | 6 | 285 | 34 | — | — | — | — | — | — |
| 2013 | 29 | AAA MLE | 3 teams | — | 379 | 352 | 76 | 20 | 1 | 6 | 15 | 71 | 3 | 1 | 1 | 216 | 254 | 330 | 584 | 114 | 249 | 19 | 4 | 247 | 53 | — | — | — | — | — | — |
| 2013 | 29 | AAA RAW | 3 teams | — | 379 | 343 | 87 | 25 | 1 | 7 | 24 | 57 | 3 | 1 | 1 | 254 | 308 | 394 | 702 | 140 | 281 | 15 | 6 | 306 | 53 | — | — | — | — | — | — |
| 2014 | 30 | MLB MLE | Arizona Diamondbacks | — | 132 | 129 | 28 | 7 | 0 | 1 | 3 | 24 | 0 | 0 | 0 | 217 | 235 | 295 | 529 | 78 | 260 | 18 | 2 | 239 | 48 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2014 | 30 | MLB RAW | Arizona Diamondbacks | — | 132 | 129 | 29 | 8 | 0 | 1 | 3 | 24 | 0 | 0 | 0 | 225 | 242 | 310 | 553 | 85 | 269 | 18 | 2 | 247 | 48 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2015 | 31 | MLB MLE | Arizona Diamondbacks | — | 138 | 128 | 26 | 5 | 0 | 1 | 8 | 23 | 1 | 2 | 1 | 203 | 255 | 266 | 521 | 62 | 238 | 17 | 6 | 242 | 50 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2015 | 31 | MLB RAW | Arizona Diamondbacks | — | 138 | 128 | 27 | 6 | 0 | 1 | 8 | 23 | 1 | 2 | 1 | 211 | 263 | 281 | 544 | 70 | 248 | 17 | 6 | 248 | 50 | -8 | +0 | +4 | +2 | +3 | 0.1 |
| 2016 | 32 | AAA MLE | 2 teams | — | 318 | 294 | 64 | 10 | 1 | 9 | 17 | 61 | 5 | 0 | 0 | 218 | 272 | 350 | 622 | 133 | 246 | 19 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2016 | 32 | AAA RAW | 2 teams | — | 318 | 289 | 82 | 14 | 2 | 12 | 22 | 52 | 5 | 0 | 0 | 284 | 345 | 471 | 816 | 187 | 311 | 16 | 7 | 359 | 72 | — | — | — | — | — | — |
| 2017 | 33 | AAA MLE | 2 teams | — | 352 | 316 | 52 | 16 | 0 | 3 | 21 | 99 | 7 | 1 | 0 | 165 | 233 | 244 | 476 | 79 | 225 | 28 | 6 | 215 | 32 | — | — | — | — | — | — |
| 2017 | 33 | AAA RAW | 2 teams | — | 352 | 307 | 66 | 22 | 0 | 4 | 30 | 82 | 7 | 1 | 0 | 215 | 299 | 326 | 625 | 111 | 276 | 23 | 9 | 281 | 32 | — | — | — | — | — | — |
| 2018 | 34 | AAA MLE | Syracuse Chiefs | — | 260 | 233 | 40 | 14 | 0 | 2 | 18 | 64 | 4 | 0 | 1 | 172 | 243 | 258 | 501 | 86 | 224 | 25 | 7 | 225 | 38 | — | — | — | — | — | — |
| 2018 | 34 | AAA RAW | Syracuse Chiefs | — | 260 | 224 | 49 | 17 | 0 | 3 | 27 | 56 | 4 | 0 | 1 | 219 | 314 | 335 | 649 | 116 | 274 | 22 | 10 | 293 | 38 | — | — | — | — | — | — |
| 2019 | 35 | AAA MLE | San Antonio Missions | — | 134 | 121 | 18 | 2 | 0 | 2 | 7 | 45 | 5 | 0 | 1 | 149 | 226 | 215 | 440 | 66 | 213 | 34 | 5 | 201 | 22 | — | — | — | — | — | — |
| 2019 | 35 | AAA RAW | San Antonio Missions | — | 134 | 117 | 24 | 3 | 0 | 3 | 11 | 34 | 5 | 0 | 1 | 205 | 301 | 308 | 608 | 103 | 259 | 25 | 8 | 282 | 22 | — | — | — | — | — | — |
| 2006 | 22 | A+ MLE | Clearwater Threshers | — | 339 | 312 | 69 | 13 | 0 | 8 | 18 | 78 | 6 | 1 | 0 | 221 | 278 | 340 | 617 | 119 | 264 | 23 | 5 | 268 | 68 | — | — | — | — | — | — |
| 2007 | 23 | A MLE | Lakewood BlueClaws | — | 381 | 352 | 65 | 19 | 2 | 4 | 19 | 93 | 7 | 0 | 3 | 185 | 243 | 284 | 527 | 99 | 232 | 24 | 5 | 230 | 42 | — | — | — | — | — | — |
| 2008 | 24 | A+ MLE | Clearwater Threshers | — | 374 | 344 | 67 | 18 | 1 | 3 | 22 | 62 | 5 | 2 | 1 | 195 | 257 | 279 | 536 | 84 | 221 | 17 | 6 | 235 | 45 | — | — | — | — | — | — |
| 2009 | 25 | AA MLE | 2 teams | — | 286 | 267 | 56 | 17 | 0 | 1 | 10 | 57 | 7 | 0 | 1 | 210 | 258 | 285 | 543 | 75 | 262 | 20 | 3 | 239 | 48 | — | — | — | — | — | — |
| 2010 | 26 | AA MLE | Reading Phillies | — | 370 | 328 | 69 | 19 | 1 | 5 | 34 | 83 | 5 | 0 | 0 | 210 | 296 | 320 | 616 | 110 | 264 | 22 | 9 | 272 | 70 | — | — | — | — | — | — |
| 2011 | 27 | AA MLE | Reading Phillies | — | 406 | 382 | 82 | 16 | 0 | 9 | 13 | 73 | 8 | 4 | 6 | 215 | 259 | 327 | 587 | 113 | 237 | 18 | 3 | 260 | 62 | — | — | — | — | — | — |
| 2012 | 28 | AAA MLE | Las Vegas 51s | — | 324 | 300 | 52 | 16 | 1 | 3 | 13 | 76 | 8 | 0 | 1 | 173 | 227 | 263 | 491 | 90 | 216 | 23 | 4 | 219 | 34 | — | — | — | — | — | — |
| 2013 | 29 | AAA MLE | 3 teams | — | 379 | 358 | 76 | 20 | 1 | 6 | 15 | 71 | 3 | 1 | 1 | 212 | 254 | 324 | 578 | 112 | 244 | 19 | 4 | 247 | 53 | — | — | — | — | — | — |
| 2014 | 30 | MLB MLE | Arizona Diamondbacks | — | 132 | 128 | 28 | 7 | 0 | 1 | 3 | 24 | 0 | 0 | 0 | 219 | 235 | 297 | 532 | 78 | 269 | 18 | 2 | 239 | 48 | — | — | — | — | — | — |
| 2015 | 31 | MLB MLE | Arizona Diamondbacks | — | 138 | 128 | 26 | 5 | 0 | 1 | 8 | 23 | 1 | 2 | 1 | 203 | 255 | 266 | 521 | 62 | 248 | 17 | 6 | 242 | 50 | — | — | — | — | — | — |
| 2016 | 32 | AAA MLE | 2 teams | — | 318 | 293 | 64 | 10 | 1 | 9 | 17 | 61 | 5 | 0 | 0 | 218 | 272 | 352 | 624 | 133 | 246 | 19 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2017 | 33 | AAA MLE | 2 teams | — | 352 | 321 | 52 | 16 | 0 | 3 | 21 | 99 | 7 | 1 | 0 | 162 | 233 | 240 | 472 | 78 | 219 | 28 | 6 | 215 | 32 | — | — | — | — | — | — |
| 2018 | 34 | AAA MLE | Syracuse Chiefs | — | 260 | 236 | 40 | 14 | 0 | 2 | 18 | 64 | 4 | 0 | 1 | 169 | 243 | 254 | 497 | 85 | 218 | 25 | 7 | 225 | 38 | — | — | — | — | — | — |
| 2019 | 35 | AAA MLE | San Antonio Missions | — | 134 | 121 | 18 | 2 | 0 | 2 | 7 | 45 | 5 | 0 | 1 | 149 | 226 | 215 | 440 | 66 | 203 | 34 | 5 | 201 | 22 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 447 | 420 | 80 | 17 | 1 | 5 | 19 | 91 | 2 | 2 | 1 | 190 | 229 | 271 | 500 | 81 | 230 | 20 | 4 | 224 | 51 | -33 | +0 | +9 | +24 | +10 | 1.0 | |
| / 162G | — | A+C | — | 650 | 611 | 116 | 25 | 1 | 7 | 28 | 132 | 3 | 3 | 1 | 190 | 229 | 268 | 498 | 79 | 229 | 20 | 4 | 224 | 51 | -48 | +0 | +13 | +34 | +14 | 1.4 | |
| Career | — | MLE | — | 4193 | 3840 | 764 | 192 | 7 | 57 | 218 | 909 | 71 | 11 | 16 | 199 | 255 | 297 | 552 | 98 | 243 | 22 | 5 | 243 | 51 | -33 | +0 | +9 | +24 | +10 | 1.0 | |
| / 162G | — | MLE | — | 650 | 595 | 119 | 30 | 1 | 9 | 34 | 141 | 11 | 2 | 2 | 200 | 256 | 299 | 555 | 99 | 244 | 22 | 5 | 243 | 51 | -48 | +0 | +13 | +34 | +14 | 1.4 | |
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.
2019 AAASan Antonio Missions · 134 PAwOBA .277 → .201 (−76)K% 25.4% → 33.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.37% | ÷0.979 | ×1.290 | — | — | 33.42% |
| BB% (unintentional) /PA | 8.21% | ÷1.055 | ×0.710 | — | ×0.940 | 5.19% |
| HBP% /PA | 3.73% | — | ×0.980 | — | ×0.940 | 3.44% |
| Singles /BIP | 21.69% | ÷0.995 | ×0.900 | ×0.950 | ×0.940 | 17.52% |
| Doubles /BIP | 3.61% | ÷1.045 | ×0.810 | ×0.950 | ×0.940 | 2.50% |
| Triples /BIP | 0.00% | ÷0.930 | ×0.810 | ×0.950 | ×0.940 | 0.00% |
| Home runs /BIP | 3.61% | ÷0.977 | ×0.780 | — | ×0.940 | 2.71% |
Factors used: league row PCL. Park (home-season share, regressed): HR 95, 1B 99, 2B 109, 3B 86, K 96, BB 111 — applied at half strength. Age: age 36 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (8.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .277 → .201; ISO .103 → .071; BABIP .259 → .203. 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 AAASyracuse Chiefs · 260 PAwOBA .287 → .225 (−62)K% 21.5% → 24.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.54% | ÷1.044 | ×1.200 | — | — | 24.75% |
| BB% (unintentional) /PA | 10.00% | ÷0.956 | ×0.690 | — | ×0.940 | 6.78% |
| HBP% /PA | 1.54% | — | ×0.940 | — | ×0.940 | 1.36% |
| Singles /BIP | 17.26% | ÷1.044 | ×0.930 | ×0.957 | ×0.940 | 13.83% |
| Doubles /BIP | 10.12% | ÷0.933 | ×0.830 | ×0.957 | ×0.940 | 8.10% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.970 | ×0.957 | ×0.940 | 0.00% |
| Home runs /BIP | 1.79% | ÷1.205 | ×0.840 | — | ×0.940 | 1.17% |
Factors used: league row IL. Park (home-season share, regressed): HR 141, 1B 109, 2B 87, 3B 80, K 109, BB 91 — applied at half strength. Age: age 35 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (7.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.
Result: wOBA .287 → .225; ISO .116 → .090; BABIP .274 → .218. 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 AAATacoma Rainiers · 321 PAwOBA .296 → .228 (−68)K% 21.2% → 26.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.18% | ÷1.028 | ×1.290 | — | — | 26.57% |
| BB% (unintentional) /PA | 9.03% | ÷0.979 | ×0.710 | — | ×0.940 | 6.16% |
| HBP% /PA | 2.18% | — | ×0.980 | — | ×0.940 | 2.01% |
| Singles /BIP | 18.01% | ÷0.978 | ×0.900 | ×0.963 | ×0.940 | 15.01% |
| Doubles /BIP | 10.43% | ÷0.988 | ×0.810 | ×0.963 | ×0.940 | 7.74% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.810 | ×0.963 | ×0.940 | 0.00% |
| Home runs /BIP | 1.90% | ÷0.963 | ×0.780 | — | ×0.940 | 1.44% |
Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 98, 3B 80, K 106, BB 96 — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.
Result: wOBA .296 → .228; ISO .122 → .091; BABIP .284 → .226. 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 AAAReno Aces · 219 PAwOBA .403 → .297 (−106)K% 13.7% → 17.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.70% | ÷0.991 | ×1.290 | — | — | 17.84% |
| BB% (unintentional) /PA | 6.39% | ÷0.979 | ×0.710 | — | ×0.942 | 4.37% |
| HBP% /PA | 1.83% | — | ×0.980 | — | ×0.942 | 1.69% |
| Singles /BIP | 26.63% | ÷1.052 | ×0.900 | ×0.990 | ×0.942 | 21.26% |
| Doubles /BIP | 7.69% | ÷1.060 | ×0.810 | ×0.990 | ×0.942 | 5.49% |
| Triples /BIP | 0.59% | ÷1.150 | ×0.810 | ×0.990 | ×0.942 | 0.39% |
| Home runs /BIP | 5.33% | ÷1.092 | ×0.780 | — | ×0.942 | 3.58% |
Factors used: league row PCL. Park (home-season share, regressed): HR 118, 1B 110, 2B 112, 3B 130, K 98, BB 96 — applied at half strength. Age: age 33 vs a level average of 27.2 → −5.8% on BB/HBP/hit rates (5.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.
Result: wOBA .403 → .297; ISO .211 → .142; BABIP .369 → .281. 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).
2013 AAAReno Aces · 272 PAwOBA .339 → .261 (−77)K% 14.7% → 19.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.71% | ÷1.000 | ×1.290 | — | — | 18.97% |
| BB% (unintentional) /PA | 6.25% | ÷0.947 | ×0.710 | — | ×0.972 | 4.55% |
| HBP% /PA | 0.37% | — | ×0.980 | — | ×0.972 | 0.35% |
| Singles /BIP | 20.48% | ÷1.018 | ×0.900 | ×0.979 | ×0.972 | 17.23% |
| Doubles /BIP | 9.52% | ÷0.994 | ×0.810 | ×0.979 | ×0.972 | 7.39% |
| Triples /BIP | 0.48% | ÷1.150 | ×0.810 | ×0.979 | ×0.972 | 0.32% |
| Home runs /BIP | 3.33% | ÷1.121 | ×0.780 | — | ×0.972 | 2.25% |
Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 99, 3B 130, K 100, BB 89 — 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 ×0.979.
Result: wOBA .339 → .261; ISO .172 → .122; BABIP .309 → .250. 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).
2012 AAALas Vegas 51s · 324 PAwOBA .279 → .219 (−59)K% 18.2% → 23.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.21% | ÷1.004 | ×1.290 | — | — | 23.39% |
| BB% (unintentional) /PA | 5.56% | ÷0.985 | ×0.710 | — | ×0.982 | 3.93% |
| HBP% /PA | 2.47% | — | ×0.980 | — | ×0.982 | 2.38% |
| Singles /BIP | 15.68% | ÷0.985 | ×0.900 | ×1.009 | ×0.982 | 14.20% |
| Doubles /BIP | 9.32% | ÷1.085 | ×0.810 | ×1.009 | ×0.982 | 6.90% |
| Triples /BIP | 0.42% | ÷0.994 | ×0.810 | ×1.009 | ×0.982 | 0.34% |
| Home runs /BIP | 2.12% | ÷1.059 | ×0.780 | — | ×0.982 | 1.53% |
Factors used: league row PCL. Park (home-season share, regressed): HR 112, 1B 97, 2B 117, 3B 99, K 101, BB 97 — 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 ×1.009.
Result: wOBA .279 → .219; ISO .132 → .094; BABIP .258 → .216. 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).
2011 AAReading Phillies · 406 PAwOBA .301 → .260 (−42)K% 15.0% → 17.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.02% | ÷1.026 | ×1.220 | — | — | 17.86% |
| BB% (unintentional) /PA | 4.43% | ÷0.918 | ×0.700 | — | ×0.968 | 3.27% |
| HBP% /PA | 1.97% | — | ×0.850 | — | ×0.968 | 1.62% |
| Singles /BIP | 19.16% | ÷0.960 | ×0.970 | ×0.975 | ×0.968 | 18.26% |
| Doubles /BIP | 6.17% | ÷0.966 | ×0.860 | ×0.975 | ×0.968 | 5.18% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.950 | ×0.975 | ×0.968 | 0.00% |
| Home runs /BIP | 4.22% | ÷1.067 | ×0.780 | — | ×0.968 | 2.99% |
Factors used: league row EL. Park (home-season share, regressed): HR 113, 1B 92, 2B 93, 3B 80, K 105, BB 84 — 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 ×0.975.
Result: wOBA .301 → .260; ISO .157 → .120; BABIP .259 → .237. 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).
2010 AAReading Phillies · 370 PAwOBA .330 → .272 (−59)K% 18.1% → 22.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.11% | ÷0.981 | ×1.220 | — | — | 22.52% |
| BB% (unintentional) /PA | 13.24% | ÷0.999 | ×0.700 | — | ×0.978 | 9.07% |
| HBP% /PA | 1.35% | — | ×0.850 | — | ×0.978 | 1.12% |
| Singles /BIP | 17.62% | ÷0.968 | ×0.970 | ×1.027 | ×0.978 | 17.75% |
| Doubles /BIP | 9.02% | ÷1.012 | ×0.860 | ×1.027 | ×0.978 | 7.70% |
| Triples /BIP | 0.41% | ÷0.972 | ×0.950 | ×1.027 | ×0.978 | 0.40% |
| Home runs /BIP | 3.69% | ÷1.397 | ×0.780 | — | ×0.978 | 2.01% |
Factors used: league row EL. Park (home-season share, regressed): HR 179, 1B 94, 2B 102, 3B 94, K 96, BB 100 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.
Result: wOBA .330 → .272; ISO .164 → .116; BABIP .281 → .264. 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 — .