Cameron Rupp
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 28 | MLBPHI | 331 | .217/.300/.417 | 14 | 1 | 94 | 0.6 | ||
| 2018 | 29 | AAASEA | 334 | .223/.324/.425 | 15 | 0 | 53 | — | .172/.239/.327 | |
| 2019 | 30 | AAAOAK | 215 | .226/.327/.441 | 10 | 0 | 45 | — | .150/.234/.280 | |
| 2020 | 31 | No MLB games played | ||||||||
| 2021 | 32 | No MLB games played | ||||||||
| 2022 | 33 | No MLB games played | ||||||||
| 2023 | 34 | No MLB games played | ||||||||
| 2024 | 35 | No MLB games played | ||||||||
| 2025 | 36 | No MLB games played | ||||||||
| 2026 | 37 | 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) | |||||||||||||||||||||||||||||||
| 2011 | 22 | A | Lakewood BlueClaws | — | 368 | 324 | 88 | 19 | 1 | 4 | 31 | 96 | 8 | 1 | 0 | 272 | 350 | 373 | 723 | 102 | 368 | 26 | 8 | 325 | 52 | — | — | — | — | — | — |
| 2012 | 23 | A+ | Clearwater Threshers | — | 390 | 344 | 93 | 22 | 1 | 10 | 40 | 76 | 2 | 0 | 0 | 270 | 350 | 427 | 777 | 157 | 319 | 19 | 10 | 344 | 72 | — | — | — | — | — | — |
| 2013 | 24 | AAA | Lehigh Valley IronPigs | — | 194 | 182 | 49 | 10 | 0 | 6 | 10 | 54 | 1 | 1 | 1 | 269 | 311 | 423 | 734 | 154 | 350 | 28 | 5 | 324 | 72 | — | — | — | — | — | — |
| 2013 | 24 | AA | Reading Fightin Phils | — | 161 | 143 | 35 | 6 | 0 | 8 | 14 | 36 | 4 | 0 | 0 | 245 | 329 | 455 | 784 | 210 | 273 | 22 | 9 | 348 | 67 | — | — | — | — | — | — |
| 2013 | 24 | INTL | Peoria Javelinas | — | 59 | 54 | 15 | 4 | 1 | 1 | 5 | 19 | 0 | 1 | 0 | 278 | 339 | 444 | 783 | 167 | 412 | 32 | 8 | 347 | 121 | — | — | — | — | — | — |
| 2014 | 25 | MLB | Philadelphia Phillies | — | 64 | 60 | 11 | 4 | 0 | 0 | 4 | 20 | 0 | 0 | 0 | 183 | 234 | 250 | 484 | 67 | 275 | 31 | 6 | 223 | 38 | -5 | +0 | -1 | +5 | +1 | 0.1 |
| 2014 | 25 | AAA | Lehigh Valley IronPigs | — | 219 | 194 | 32 | 8 | 0 | 6 | 21 | 76 | 3 | 0 | 0 | 165 | 257 | 299 | 556 | 134 | 230 | 35 | 10 | 255 | 28 | — | — | — | — | — | — |
| 2015 | 26 | MLB | Philadelphia Phillies | — | 299 | 270 | 63 | 9 | 1 | 9 | 24 | 71 | 3 | 0 | 1 | 233 | 303 | 374 | 677 | 141 | 281 | 24 | 8 | 303 | 81 | -7 | -0 | +4 | +5 | +6 | 0.8 |
| 2016 | 27 | MLB | Philadelphia Phillies | — | 419 | 389 | 98 | 26 | 1 | 16 | 24 | 114 | 5 | 1 | 0 | 252 | 304 | 447 | 751 | 195 | 315 | 27 | 6 | 331 | 107 | +4 | +0 | +5 | +7 | +9 | 2.6 |
| 2017 | 28 | MLB | Philadelphia Phillies | — | 331 | 295 | 64 | 17 | 0 | 14 | 34 | 114 | 1 | 1 | 0 | 217 | 300 | 417 | 717 | 200 | 298 | 34 | 10 | 318 | 94 | -2 | +0 | -5 | +6 | +7 | 0.6 |
| 2018 | 29 | AAA | Tacoma Rainiers | — | 334 | 287 | 64 | 11 | 1 | 15 | 42 | 107 | 1 | 0 | 0 | 223 | 324 | 425 | 749 | 202 | 290 | 32 | 13 | 331 | 53 | — | — | — | — | — | — |
| 2019 | 30 | AAA | Las Vegas Aviators | — | 215 | 186 | 42 | 10 | 0 | 10 | 22 | 61 | 6 | 0 | 0 | 226 | 327 | 441 | 768 | 215 | 276 | 28 | 10 | 341 | 45 | — | — | — | — | — | — |
| ▸ Career Totals (raw MLB only — historical actual) | |||||||||||||||||||||||||||||||
| MLB Career | — | — | 1113 | 1014 | 236 | 56 | 2 | 39 | 86 | 319 | 9 | 2 | 1 | 233 | 298 | 407 | 706 | 175 | 298 | 29 | 8 | 313 | 98 | -2 | +0 | +3 | +24 | +24 | 4.9 | ||
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2011 | 22 | A MLE | Lakewood BlueClaws | — | 368 | 335 | 70 | 13 | 1 | 3 | 20 | 130 | 8 | 1 | 0 | 209 | 270 | 281 | 551 | 72 | 315 | 35 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2012 | 23 | A+ MLE | Clearwater Threshers | — | 390 | 354 | 79 | 19 | 1 | 7 | 30 | 108 | 2 | 0 | 0 | 223 | 288 | 342 | 629 | 119 | 294 | 28 | 8 | 275 | 72 | — | — | — | — | — | — |
| 2013 | 24 | AAA MLE | Lehigh Valley IronPigs | — | 194 | 185 | 43 | 8 | 0 | 5 | 7 | 66 | 1 | 1 | 1 | 232 | 264 | 357 | 621 | 124 | 329 | 34 | 4 | 275 | 72 | — | — | — | — | — | — |
| 2013 | 24 | AA MLE | Reading Fightin Phils | — | 161 | 148 | 31 | 6 | 0 | 5 | 9 | 46 | 4 | 0 | 0 | 209 | 273 | 351 | 625 | 142 | 257 | 29 | 6 | 267 | 67 | — | — | — | — | — | — |
| 2014 | 25 | MLB MLE | Philadelphia Phillies | — | 64 | 60 | 11 | 4 | 0 | 0 | 4 | 20 | 0 | 0 | 0 | 183 | 234 | 250 | 484 | 67 | 275 | 31 | 6 | 224 | 38 | -5 | +0 | -1 | +5 | +1 | 0.1 |
| 2014 | 25 | AAA MLE | Lehigh Valley IronPigs | — | 219 | 200 | 27 | 6 | 0 | 5 | 15 | 87 | 3 | 0 | 0 | 135 | 206 | 240 | 446 | 105 | 205 | 40 | 7 | 209 | 28 | — | — | — | — | — | — |
| 2015 | 26 | MLB MLE | Philadelphia Phillies | — | 299 | 275 | 62 | 9 | 1 | 8 | 19 | 71 | 3 | 0 | 1 | 225 | 283 | 353 | 636 | 127 | 281 | 24 | 6 | 288 | 81 | -7 | -0 | +4 | +5 | +6 | 0.8 |
| 2016 | 27 | MLB MLE | Philadelphia Phillies | — | 419 | 389 | 98 | 27 | 1 | 15 | 24 | 114 | 5 | 1 | 0 | 252 | 304 | 442 | 746 | 190 | 315 | 27 | 6 | 327 | 107 | +4 | +0 | +5 | +7 | +9 | 2.6 |
| 2017 | 28 | MLB MLE | Philadelphia Phillies | — | 331 | 298 | 63 | 17 | 0 | 13 | 31 | 114 | 1 | 1 | 0 | 211 | 288 | 399 | 687 | 188 | 298 | 34 | 9 | 307 | 94 | -2 | +0 | -5 | +6 | +7 | 0.6 |
| 2018 | 29 | AAA MLE | Tacoma Rainiers | — | 334 | 303 | 52 | 9 | 1 | 12 | 26 | 134 | 1 | 0 | 0 | 172 | 239 | 327 | 566 | 155 | 240 | 40 | 8 | 247 | 53 | — | — | — | — | — | — |
| 2019 | 30 | AAA MLE | Las Vegas Aviators | — | 215 | 193 | 29 | 7 | 0 | 6 | 15 | 80 | 6 | 0 | 0 | 150 | 234 | 280 | 513 | 130 | 214 | 37 | 7 | 234 | 45 | — | — | — | — | — | — |
| 2011 | 22 | A MLE | Lakewood BlueClaws | — | 368 | 335 | 70 | 13 | 1 | 3 | 20 | 130 | 8 | 1 | 0 | 209 | 270 | 281 | 551 | 72 | 325 | 35 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2011 | 22 | A RAW | Lakewood BlueClaws | — | 368 | 324 | 88 | 19 | 1 | 4 | 31 | 96 | 8 | 1 | 0 | 272 | 350 | 373 | 723 | 102 | 368 | 26 | 8 | 325 | 52 | — | — | — | — | — | — |
| 2012 | 23 | A+ MLE | Clearwater Threshers | — | 390 | 354 | 79 | 19 | 1 | 7 | 30 | 108 | 2 | 0 | 0 | 223 | 288 | 342 | 629 | 119 | 299 | 28 | 8 | 275 | 72 | — | — | — | — | — | — |
| 2012 | 23 | A+ RAW | Clearwater Threshers | — | 390 | 344 | 93 | 22 | 1 | 10 | 40 | 76 | 2 | 0 | 0 | 270 | 350 | 427 | 777 | 157 | 319 | 19 | 10 | 344 | 72 | — | — | — | — | — | — |
| 2013 | 24 | AAA MLE | 3 teams | — | 414 | 390 | 86 | 16 | 0 | 12 | 18 | 130 | 5 | 2 | 1 | 221 | 264 | 354 | 618 | 133 | 297 | 31 | 4 | 271 | 70 | — | — | — | — | — | — |
| 2013 | 24 | AAA RAW | 3 teams | — | 414 | 379 | 99 | 20 | 1 | 15 | 29 | 109 | 5 | 2 | 1 | 261 | 322 | 438 | 760 | 177 | 328 | 26 | 7 | 337 | 70 | — | — | — | — | — | — |
| 2014 | 25 | AAA MLE | 2 teams | — | 283 | 260 | 39 | 11 | 0 | 5 | 19 | 107 | 3 | 0 | 0 | 150 | 216 | 250 | 466 | 100 | 228 | 38 | 7 | 212 | 30 | — | — | — | — | — | — |
| 2014 | 25 | AAA RAW | 2 teams | — | 283 | 254 | 43 | 12 | 0 | 6 | 25 | 96 | 3 | 0 | 0 | 169 | 252 | 287 | 539 | 118 | 242 | 34 | 9 | 248 | 30 | — | — | — | — | — | — |
| 2015 | 26 | MLB MLE | Philadelphia Phillies | — | 299 | 275 | 62 | 9 | 1 | 8 | 19 | 71 | 3 | 0 | 1 | 225 | 283 | 353 | 636 | 127 | 273 | 24 | 6 | 288 | 81 | -7 | -0 | +4 | +5 | +6 | 0.8 |
| 2015 | 26 | MLB RAW | Philadelphia Phillies | — | 299 | 270 | 63 | 9 | 1 | 9 | 24 | 71 | 3 | 0 | 1 | 233 | 303 | 374 | 677 | 141 | 281 | 24 | 8 | 303 | 81 | -7 | -0 | +4 | +5 | +6 | 0.8 |
| 2016 | 27 | MLB MLE | Philadelphia Phillies | — | 419 | 389 | 98 | 27 | 1 | 15 | 24 | 114 | 5 | 1 | 0 | 252 | 304 | 442 | 746 | 190 | 318 | 27 | 6 | 327 | 107 | +4 | +0 | +5 | +7 | +9 | 2.6 |
| 2016 | 27 | MLB RAW | Philadelphia Phillies | — | 419 | 389 | 98 | 26 | 1 | 16 | 24 | 114 | 5 | 1 | 0 | 252 | 304 | 447 | 751 | 195 | 315 | 27 | 6 | 331 | 107 | +4 | +0 | +5 | +7 | +9 | 2.6 |
| 2017 | 28 | MLB MLE | Philadelphia Phillies | — | 331 | 298 | 63 | 17 | 0 | 13 | 31 | 114 | 1 | 1 | 0 | 211 | 288 | 399 | 687 | 188 | 291 | 34 | 9 | 307 | 94 | -2 | +0 | -5 | +6 | +7 | 0.6 |
| 2017 | 28 | MLB RAW | Philadelphia Phillies | — | 331 | 295 | 64 | 17 | 0 | 14 | 34 | 114 | 1 | 1 | 0 | 217 | 300 | 417 | 717 | 200 | 298 | 34 | 10 | 318 | 94 | -2 | +0 | -5 | +6 | +7 | 0.6 |
| 2018 | 29 | AAA MLE | Tacoma Rainiers | — | 334 | 303 | 52 | 9 | 1 | 12 | 26 | 134 | 1 | 0 | 0 | 172 | 239 | 327 | 566 | 155 | 248 | 40 | 8 | 247 | 53 | — | — | — | — | — | — |
| 2018 | 29 | AAA RAW | Tacoma Rainiers | — | 334 | 287 | 64 | 11 | 1 | 15 | 42 | 107 | 1 | 0 | 0 | 223 | 324 | 425 | 749 | 202 | 290 | 32 | 13 | 331 | 53 | — | — | — | — | — | — |
| 2019 | 30 | AAA MLE | Las Vegas Aviators | — | 215 | 193 | 29 | 7 | 0 | 6 | 15 | 80 | 6 | 0 | 0 | 150 | 234 | 280 | 513 | 130 | 213 | 37 | 7 | 234 | 45 | — | — | — | — | — | — |
| 2019 | 30 | AAA RAW | Las Vegas Aviators | — | 215 | 186 | 42 | 10 | 0 | 10 | 22 | 61 | 6 | 0 | 0 | 226 | 327 | 441 | 768 | 215 | 276 | 28 | 10 | 341 | 45 | — | — | — | — | — | — |
| 2011 | 22 | A MLE | Lakewood BlueClaws | — | 368 | 337 | 70 | 13 | 1 | 3 | 20 | 130 | 8 | 1 | 0 | 208 | 270 | 279 | 549 | 71 | 315 | 35 | 5 | 245 | 52 | — | — | — | — | — | — |
| 2012 | 23 | A+ MLE | Clearwater Threshers | — | 390 | 355 | 79 | 19 | 1 | 7 | 30 | 108 | 2 | 0 | 0 | 223 | 288 | 341 | 628 | 118 | 294 | 28 | 8 | 275 | 72 | — | — | — | — | — | — |
| 2013 | 24 | AAA MLE | 3 teams | — | 414 | 388 | 86 | 16 | 0 | 12 | 18 | 130 | 5 | 2 | 1 | 222 | 264 | 356 | 620 | 134 | 296 | 31 | 4 | 271 | 70 | — | — | — | — | — | — |
| 2014 | 25 | AAA MLE | 2 teams | — | 283 | 259 | 39 | 11 | 0 | 5 | 19 | 107 | 3 | 0 | 0 | 151 | 216 | 251 | 467 | 100 | 221 | 38 | 7 | 212 | 30 | — | — | — | — | — | — |
| 2015 | 26 | MLB MLE | Philadelphia Phillies | — | 299 | 275 | 62 | 9 | 1 | 8 | 19 | 71 | 3 | 0 | 1 | 225 | 283 | 353 | 636 | 127 | 281 | 24 | 6 | 288 | 81 | — | — | — | — | — | — |
| 2016 | 27 | MLB MLE | Philadelphia Phillies | — | 419 | 387 | 98 | 27 | 1 | 15 | 24 | 114 | 5 | 1 | 0 | 253 | 304 | 444 | 748 | 191 | 315 | 27 | 6 | 327 | 107 | — | — | — | — | — | — |
| 2017 | 28 | MLB MLE | Philadelphia Phillies | — | 331 | 296 | 63 | 17 | 0 | 13 | 31 | 114 | 1 | 1 | 0 | 213 | 288 | 402 | 690 | 189 | 298 | 34 | 9 | 307 | 94 | — | — | — | — | — | — |
| 2018 | 29 | AAA MLE | Tacoma Rainiers | — | 334 | 304 | 52 | 9 | 1 | 12 | 26 | 134 | 1 | 0 | 0 | 171 | 239 | 326 | 565 | 155 | 240 | 40 | 8 | 247 | 53 | — | — | — | — | — | — |
| 2019 | 30 | AAA MLE | Las Vegas Aviators | — | 215 | 192 | 29 | 7 | 0 | 6 | 15 | 80 | 6 | 0 | 0 | 151 | 234 | 281 | 515 | 130 | 214 | 37 | 7 | 234 | 45 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| ▸ Career totals — MLB only (actual + projected) | |||||||||||||||||||||||||||||||
| Career | — | A+C | — | 1113 | 1014 | 236 | 56 | 2 | 39 | 86 | 319 | 9 | 2 | 1 | 233 | 298 | 407 | 706 | 175 | 298 | 29 | 8 | 313 | 70 | -2 | +0 | +3 | +24 | +24 | 4.9 | |
| / 162G | — | A+C | — | 650 | 592 | 138 | 33 | 1 | 23 | 50 | 186 | 5 | 1 | 1 | 233 | 298 | 409 | 707 | 176 | 299 | 29 | 8 | 313 | 70 | -1 | +0 | +2 | +14 | +14 | 2.9 | |
| Career | — | MLE | — | 3053 | 2797 | 578 | 128 | 5 | 81 | 202 | 988 | 34 | 5 | 2 | 207 | 268 | 343 | 611 | 136 | 285 | 32 | 7 | 271 | 70 | -2 | +0 | +3 | +24 | +24 | 4.9 | |
| / 162G | — | MLE | — | 650 | 595 | 122 | 27 | 1 | 17 | 43 | 210 | 7 | 1 | 0 | 205 | 267 | 339 | 606 | 134 | 282 | 32 | 7 | 271 | 70 | -1 | +0 | +2 | +14 | +14 | 2.9 | |
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.
2019 AAALas Vegas Aviators · 215 PAwOBA .333 → .234 (−99)K% 28.4% → 37.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 28.37% | ÷0.990 | ×1.290 | — | — | 36.95% |
| BB% (unintentional) /PA | 10.23% | ÷0.985 | ×0.710 | — | ×0.962 | 7.10% |
| HBP% /PA | 2.79% | — | ×0.980 | — | ×0.962 | 2.63% |
| Singles /BIP | 17.60% | ÷1.018 | ×0.900 | ×0.950 | ×0.962 | 14.22% |
| Doubles /BIP | 8.00% | ÷0.951 | ×0.810 | ×0.950 | ×0.962 | 6.23% |
| Triples /BIP | 0.00% | ÷1.102 | ×0.810 | ×0.950 | ×0.962 | 0.00% |
| Home runs /BIP | 8.00% | ÷1.119 | ×0.780 | — | ×0.962 | 5.36% |
Factors used: league row PCL. Park (home-season share, regressed): HR 124, 1B 104, 2B 90, 3B 120, K 98, BB 97 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .333 → .234; ISO .215 → .138; BABIP .276 → .214. 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 AAATacoma Rainiers · 334 PAwOBA .326 → .247 (−79)K% 32.0% → 40.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.04% | ÷1.031 | ×1.290 | — | — | 40.07% |
| BB% (unintentional) /PA | 12.57% | ÷1.103 | ×0.710 | — | ×0.972 | 7.87% |
| HBP% /PA | 0.30% | — | ×0.980 | — | ×0.972 | 0.29% |
| Singles /BIP | 20.56% | ÷1.006 | ×0.900 | ×0.962 | ×0.972 | 17.21% |
| Doubles /BIP | 6.11% | ÷0.885 | ×0.810 | ×0.962 | ×0.972 | 5.23% |
| Triples /BIP | 0.56% | ÷0.900 | ×0.810 | ×0.962 | ×0.972 | 0.47% |
| Home runs /BIP | 8.33% | ÷0.918 | ×0.780 | — | ×0.972 | 6.88% |
Factors used: league row PCL. Park (home-season share, regressed): HR 84, 1B 101, 2B 77, 3B 80, K 106, BB 121 — 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 ×0.962.
Result: wOBA .326 → .247; ISO .202 → .162; BABIP .290 → .240. 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).
2014 AAALehigh Valley IronPigs · 219 PAwOBA .250 → .209 (−41)K% 34.7% → 39.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.70% | ÷1.050 | ×1.200 | — | — | 39.68% |
| BB% (unintentional) /PA | 9.59% | ÷0.970 | ×0.690 | — | ×1.018 | 6.94% |
| HBP% /PA | 1.37% | — | ×0.940 | — | ×1.018 | 1.31% |
| Singles /BIP | 15.25% | ÷1.006 | ×0.930 | ×0.981 | ×1.018 | 14.10% |
| Doubles /BIP | 6.78% | ÷0.999 | ×0.830 | ×0.981 | ×1.018 | 5.63% |
| Triples /BIP | 0.00% | ÷1.136 | ×0.970 | ×0.981 | ×1.018 | 0.00% |
| Home runs /BIP | 5.08% | ÷0.922 | ×0.840 | — | ×1.018 | 4.72% |
Factors used: league row IL. Park (home-season share, regressed): HR 84, 1B 101, 2B 100, 3B 127, K 110, 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.
Result: wOBA .250 → .209; ISO .134 → .116; BABIP .230 → .205. 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 AAALehigh Valley IronPigs · 194 PAwOBA .317 → .275 (−42)K% 27.8% → 33.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.84% | ÷0.985 | ×1.200 | — | — | 33.92% |
| BB% (unintentional) /PA | 5.15% | ÷1.001 | ×0.690 | — | ×1.033 | 3.67% |
| HBP% /PA | 0.52% | — | ×0.940 | — | ×1.033 | 0.50% |
| Singles /BIP | 25.78% | ÷0.994 | ×0.930 | ×0.999 | ×1.033 | 24.89% |
| Doubles /BIP | 7.81% | ÷0.991 | ×0.830 | ×0.999 | ×1.033 | 6.75% |
| Triples /BIP | 0.00% | ÷1.116 | ×0.970 | ×0.999 | ×1.033 | 0.00% |
| Home runs /BIP | 4.69% | ÷0.891 | ×0.840 | — | ×1.033 | 4.56% |
Factors used: league row IL. Park (home-season share, regressed): HR 78, 1B 99, 2B 98, 3B 123, K 97, BB 100 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.999.
Result: wOBA .317 → .275; ISO .154 → .135; BABIP .350 → .329. 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 AAReading Fightin Phils · 161 PAwOBA .337 → .267 (−70)K% 22.4% → 28.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.36% | ÷0.964 | ×1.220 | — | — | 28.30% |
| BB% (unintentional) /PA | 8.07% | ÷1.074 | ×0.700 | — | ×0.998 | 5.25% |
| HBP% /PA | 2.48% | — | ×0.850 | — | ×0.998 | 2.11% |
| Singles /BIP | 19.63% | ÷1.022 | ×0.970 | ×1.020 | ×0.998 | 18.96% |
| Doubles /BIP | 5.61% | ÷0.892 | ×0.860 | ×1.020 | ×0.998 | 5.50% |
| Triples /BIP | 0.00% | ÷1.144 | ×0.950 | ×1.020 | ×0.998 | 0.00% |
| Home runs /BIP | 7.48% | ÷1.205 | ×0.780 | — | ×0.998 | 4.83% |
Factors used: league row EL. Park (home-season share, regressed): HR 141, 1B 104, 2B 78, 3B 129, K 93, BB 115 — 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 ×1.020.
Result: wOBA .337 → .267; ISO .210 → .145; BABIP .273 → .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).
2012 A+Clearwater Threshers · 390 PAwOBA .337 → .275 (−62)K% 19.5% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 19.49% | ÷0.995 | ×1.420 | — | — | 27.80% |
| BB% (unintentional) /PA | 10.26% | ÷0.995 | ×0.750 | — | ×0.988 | 7.64% |
| HBP% /PA | 0.51% | — | ×0.930 | — | ×0.988 | 0.47% |
| Singles /BIP | 22.39% | ÷0.989 | ×0.920 | ×1.020 | ×0.988 | 20.97% |
| Doubles /BIP | 8.21% | ÷1.060 | ×0.960 | ×1.020 | ×0.988 | 7.49% |
| Triples /BIP | 0.37% | ÷0.958 | ×0.810 | ×1.020 | ×0.988 | 0.32% |
| Home runs /BIP | 3.73% | ÷1.148 | ×0.880 | — | ×0.988 | 2.83% |
Factors used: league row FSL. Park (home-season share, regressed): HR 130, 1B 98, 2B 112, 3B 92, K 99, BB 99 — 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 ×1.020.
Result: wOBA .337 → .275; ISO .157 → .121; BABIP .319 → .294. 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 ALakewood BlueClaws · 368 PAwOBA .321 → .245 (−75)K% 26.1% → 35.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.09% | ÷0.991 | ×1.340 | — | — | 35.27% |
| BB% (unintentional) /PA | 8.42% | ÷1.025 | ×0.660 | — | ×0.990 | 5.37% |
| HBP% /PA | 2.17% | — | ×0.770 | — | ×0.990 | 1.66% |
| Singles /BIP | 28.07% | ÷0.979 | ×0.920 | ×0.955 | ×0.990 | 24.92% |
| Doubles /BIP | 8.33% | ÷1.025 | ×0.820 | ×0.955 | ×0.990 | 6.30% |
| Triples /BIP | 0.44% | ÷1.078 | ×0.940 | ×0.955 | ×0.990 | 0.36% |
| Home runs /BIP | 1.75% | ÷0.880 | ×0.820 | — | ×0.990 | 1.62% |
Factors used: league row SAL. Park (home-season share, regressed): HR 76, 1B 96, 2B 105, 3B 116, K 98, BB 105 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.
Result: wOBA .321 → .245; ISO .102 → .078; BABIP .368 → .315. 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 — .