Brock Carpenter
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 21 | ROKOgden Raptors | 235 | .241/.372/.398 | 5 | 1 | 46 | — | .161/.255/.263 |
| 2017 | 22 | A/ROK2 orgs | 174 | .221/.329/.349 | 5 | 6 | 26 | — | .152/.225/.247 |
| 2018 | 23 | ALAD | 196 | .244/.321/.420 | 4 | 2 | 47 | — | .182/.245/.309 |
Career Stats + Projections
Methodology▸ how these numbers are built
All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.
| Year | Age | Lvl | Team | MLB% | PA | AB | H | 2B | 3B | HR | BB | SO | HBP | SB | CS | AVG | OBP | SLG | OPS | ISO | BABIP | K% | BB% | wOBA | wRC+ | BAT | RUN | FLD | POS | REP | WAR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ▸ Career — actual stats, one row per stint (as recorded, no adjustments) | |||||||||||||||||||||||||||||||
| 2016 | 21 | ROK | Ogden Raptors | — | 235 | 191 | 46 | 11 | 2 | 5 | 34 | 55 | 6 | 1 | 1 | 241 | 372 | 398 | 770 | 157 | 304 | 23 | 14 | 346 | 46 | — | — | — | — | — | — |
| 2017 | 22 | A | Great Lakes Loons | — | 26 | 23 | 6 | 0 | 0 | 1 | 3 | 9 | 0 | 1 | 0 | 261 | 346 | 391 | 737 | 130 | 385 | 35 | 12 | 335 | 49 | — | — | — | — | — | — |
| 2017 | 22 | ROK | Ogden Raptors | — | 148 | 126 | 27 | 2 | 1 | 4 | 20 | 39 | 1 | 5 | 2 | 214 | 327 | 341 | 668 | 127 | 274 | 26 | 14 | 306 | 22 | — | — | — | — | — | — |
| 2018 | 23 | A | Great Lakes Loons | — | 196 | 176 | 43 | 11 | 4 | 4 | 19 | 61 | 1 | 2 | 1 | 244 | 321 | 420 | 742 | 176 | 351 | 31 | 10 | 330 | 47 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 21 | ROK MLE | Ogden Raptors | — | 235 | 205 | 33 | 7 | 1 | 4 | 20 | 79 | 6 | 1 | 1 | 161 | 255 | 263 | 519 | 102 | 229 | 34 | 9 | 236 | 46 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Great Lakes Loons | — | 26 | 24 | 5 | 0 | 0 | 1 | 2 | 12 | 0 | 1 | 0 | 208 | 269 | 333 | 603 | 125 | 362 | 46 | 8 | 240 | 49 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | Ogden Raptors | — | 148 | 134 | 19 | 1 | 1 | 3 | 12 | 56 | 1 | 5 | 2 | 142 | 218 | 231 | 449 | 90 | 211 | 38 | 8 | 200 | 22 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Great Lakes Loons | — | 196 | 181 | 33 | 8 | 3 | 3 | 14 | 81 | 1 | 2 | 1 | 182 | 245 | 309 | 554 | 127 | 309 | 41 | 7 | 238 | 47 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Ogden Raptors | — | 235 | 205 | 33 | 7 | 1 | 4 | 20 | 79 | 6 | 1 | 1 | 161 | 255 | 263 | 519 | 102 | 230 | 34 | 9 | 236 | 46 | — | — | — | — | — | — |
| 2016 | 21 | ROK RAW | Ogden Raptors | — | 235 | 191 | 46 | 11 | 2 | 5 | 34 | 55 | 6 | 1 | 1 | 241 | 372 | 398 | 770 | 157 | 304 | 23 | 14 | 346 | 46 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | 2 teams | — | 174 | 158 | 23 | 1 | 1 | 3 | 14 | 68 | 1 | 6 | 2 | 146 | 220 | 222 | 441 | 76 | 227 | 39 | 8 | 206 | 26 | — | — | — | — | — | — |
| 2017 | 22 | ROK RAW | 2 teams | — | 174 | 149 | 33 | 2 | 1 | 5 | 23 | 48 | 1 | 6 | 2 | 221 | 329 | 349 | 678 | 128 | 289 | 28 | 13 | 310 | 26 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Great Lakes Loons | — | 196 | 181 | 33 | 8 | 3 | 3 | 14 | 81 | 1 | 2 | 1 | 182 | 245 | 309 | 554 | 127 | 309 | 41 | 7 | 238 | 47 | — | — | — | — | — | — |
| 2018 | 23 | A RAW | Great Lakes Loons | — | 196 | 176 | 43 | 11 | 4 | 4 | 19 | 61 | 1 | 2 | 1 | 244 | 321 | 420 | 742 | 176 | 351 | 31 | 10 | 330 | 47 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Ogden Raptors | — | 235 | 207 | 33 | 7 | 1 | 4 | 20 | 79 | 6 | 1 | 1 | 159 | 255 | 261 | 516 | 101 | 229 | 34 | 9 | 236 | 46 | — | — | — | — | — | — |
| 2017 | 22 | ROK MLE | 2 teams | — | 174 | 157 | 23 | 1 | 1 | 3 | 14 | 68 | 1 | 6 | 2 | 146 | 220 | 223 | 443 | 76 | 234 | 39 | 8 | 206 | 26 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Great Lakes Loons | — | 196 | 179 | 33 | 8 | 3 | 3 | 14 | 81 | 1 | 2 | 1 | 184 | 245 | 313 | 558 | 128 | 309 | 41 | 7 | 238 | 47 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 605 | 544 | 89 | 16 | 5 | 10 | 48 | 228 | 8 | 9 | 4 | 164 | 242 | 267 | 508 | 103 | 254 | 38 | 8 | 228 | 40 | -43 | +0 | +0 | +2 | +13 | -2.8 | |
| / 162G | — | MLE | — | 650 | 584 | 95 | 17 | 5 | 11 | 52 | 245 | 9 | 10 | 4 | 163 | 242 | 265 | 507 | 103 | 252 | 38 | 8 | 228 | 40 | -46 | +0 | +0 | +2 | +14 | -3.0 | |
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.
2018 AGreat Lakes Loons · 196 PAwOBA .321 → .238 (−83)K% 31.1% → 41.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.12% | ÷1.026 | ×1.360 | — | — | 41.26% |
| BB% (unintentional) /PA | 9.69% | ÷0.962 | ×0.690 | — | ×0.990 | 6.88% |
| HBP% /PA | 0.51% | — | ×0.780 | — | ×0.990 | 0.39% |
| Singles /BIP | 20.87% | ÷0.977 | ×0.920 | ×0.986 | ×0.990 | 19.19% |
| Doubles /BIP | 9.57% | ÷0.983 | ×0.830 | ×0.986 | ×0.990 | 7.89% |
| Triples /BIP | 3.48% | ÷1.024 | ×0.910 | ×0.986 | ×0.990 | 3.02% |
| Home runs /BIP | 3.48% | ÷1.100 | ×0.800 | — | ×0.990 | 2.50% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 95, 2B 97, 3B 105, K 105, BB 92 — 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 ×0.986.
Result: wOBA .321 → .238; ISO .176 → .123; BABIP .351 → .309. 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 ROKOgden Raptors · 148 PAwOBA .301 → .200 (−101)K% 26.4% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.35% | ÷1.000 | ×1.440 | — | — | 37.95% |
| BB% (unintentional) /PA | 13.51% | ÷1.000 | ×0.610 | — | ×0.975 | 8.04% |
| HBP% /PA | 0.68% | — | ×0.720 | — | ×0.975 | 0.47% |
| Singles /BIP | 22.99% | ÷1.000 | ×0.820 | ×0.994 | ×0.975 | 18.27% |
| Doubles /BIP | 2.30% | ÷1.000 | ×0.720 | ×0.994 | ×0.975 | 1.60% |
| Triples /BIP | 1.15% | ÷1.000 | ×0.720 | ×0.994 | ×0.975 | 0.80% |
| Home runs /BIP | 4.60% | ÷1.000 | ×0.750 | — | ×0.975 | 3.36% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.994.
Result: wOBA .301 → .200; ISO .127 → .084; BABIP .274 → .211. 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 AGreat Lakes Loons · 26 PAwOBA .326 → .240 (−86)K% 34.6% → 47.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.62% | ÷0.990 | ×1.360 | — | — | 47.56% |
| BB% (unintentional) /PA | 11.54% | ÷1.048 | ×0.690 | — | — | 7.60% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 35.71% | ÷0.965 | ×0.920 | — | — | 34.04% |
| Doubles /BIP | 0.00% | ÷1.013 | ×0.830 | — | — | 0.00% |
| Triples /BIP | 0.00% | ÷1.013 | ×0.910 | — | — | 0.00% |
| Home runs /BIP | 7.14% | ÷0.970 | ×0.800 | — | — | 5.89% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 94, 1B 93, 2B 103, 3B 103, K 98, BB 110 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average).
Result: wOBA .326 → .240; ISO .130 → .090; BABIP .385 → .362. 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 ROKOgden Raptors · 235 PAwOBA .343 → .236 (−108)K% 23.4% → 33.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.40% | ÷1.000 | ×1.440 | — | — | 33.70% |
| BB% (unintentional) /PA | 14.47% | ÷1.000 | ×0.610 | — | ×0.985 | 8.69% |
| HBP% /PA | 2.55% | — | ×0.720 | — | ×0.985 | 1.81% |
| Singles /BIP | 20.59% | ÷1.000 | ×0.820 | ×0.981 | ×0.985 | 16.31% |
| Doubles /BIP | 8.09% | ÷1.000 | ×0.720 | ×0.981 | ×0.985 | 5.63% |
| Triples /BIP | 1.47% | ÷1.000 | ×0.720 | ×0.981 | ×0.985 | 1.02% |
| Home runs /BIP | 3.68% | ÷1.000 | ×0.750 | — | ×0.985 | 2.72% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.
Result: wOBA .343 → .236; ISO .157 → .109; BABIP .304 → .229. 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).