Brock Deatherage
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 22 | A+/ADET | 247 | .317/.381/.448 | 3 | 19 | 76 | — | .253/.299/.363 |
| 2019 | 23 | A+DET | 487 | .228/.272/.357 | 7 | 45 | 21 | — | .166/.201/.260 |
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) | |||||||||||||||||||||||||||||||
| 2018 | 22 | A+ | Lakeland Flying Tigers | — | 52 | 45 | 15 | 1 | 1 | 1 | 6 | 13 | 0 | 4 | 0 | 333 | 412 | 467 | 878 | 133 | 438 | 25 | 12 | 385 | 91 | — | — | — | — | — | — |
| 2018 | 22 | A | West Michigan Whitecaps | — | 195 | 176 | 55 | 7 | 5 | 2 | 14 | 50 | 3 | 15 | 3 | 312 | 373 | 443 | 816 | 131 | 421 | 26 | 7 | 361 | 72 | — | — | — | — | — | — |
| 2019 | 23 | A+ | Lakeland Flying Tigers | — | 487 | 451 | 103 | 15 | 11 | 7 | 23 | 135 | 4 | 45 | 11 | 228 | 272 | 357 | 629 | 129 | 308 | 28 | 5 | 275 | 21 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 22 | A+ MLE | Lakeland Flying Tigers | — | 52 | 48 | 14 | 1 | 1 | 1 | 3 | 19 | 0 | 4 | 0 | 292 | 333 | 417 | 750 | 125 | 401 | 37 | 6 | 302 | 91 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | West Michigan Whitecaps | — | 195 | 181 | 44 | 5 | 4 | 2 | 9 | 70 | 3 | 15 | 3 | 243 | 290 | 348 | 638 | 105 | 371 | 36 | 5 | 275 | 72 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Lakeland Flying Tigers | — | 487 | 458 | 76 | 11 | 7 | 6 | 16 | 191 | 4 | 45 | 11 | 166 | 201 | 260 | 461 | 94 | 256 | 39 | 3 | 199 | 21 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | 2 teams | — | 247 | 229 | 57 | 6 | 5 | 2 | 12 | 89 | 3 | 19 | 3 | 249 | 295 | 345 | 640 | 96 | 390 | 36 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2018 | 22 | A RAW | 2 teams | — | 247 | 221 | 70 | 8 | 6 | 3 | 20 | 63 | 3 | 19 | 3 | 317 | 381 | 448 | 829 | 131 | 424 | 26 | 8 | 366 | 76 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Lakeland Flying Tigers | — | 487 | 458 | 76 | 11 | 7 | 6 | 16 | 191 | 4 | 45 | 11 | 166 | 201 | 260 | 461 | 94 | 265 | 39 | 3 | 199 | 21 | — | — | — | — | — | — |
| 2019 | 23 | A+ RAW | Lakeland Flying Tigers | — | 487 | 451 | 103 | 15 | 11 | 7 | 23 | 135 | 4 | 45 | 11 | 228 | 272 | 357 | 629 | 129 | 308 | 28 | 5 | 275 | 21 | — | — | — | — | — | — |
| 2018 | 22 | A MLE | 2 teams | — | 247 | 230 | 57 | 6 | 5 | 2 | 12 | 89 | 3 | 19 | 3 | 248 | 295 | 343 | 639 | 96 | 377 | 36 | 5 | 281 | 76 | — | — | — | — | — | — |
| 2019 | 23 | A+ MLE | Lakeland Flying Tigers | — | 487 | 464 | 76 | 11 | 7 | 6 | 16 | 191 | 4 | 45 | 11 | 164 | 201 | 256 | 457 | 93 | 256 | 39 | 3 | 199 | 21 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 734 | 687 | 133 | 17 | 12 | 8 | 28 | 280 | 7 | 64 | 14 | 194 | 233 | 288 | 521 | 95 | 309 | 38 | 4 | 226 | 39 | -53 | +7 | +0 | -4 | +16 | -3.5 | |
| / 162G | — | MLE | — | 650 | 608 | 118 | 15 | 11 | 7 | 25 | 248 | 6 | 57 | 12 | 194 | 233 | 289 | 522 | 95 | 310 | 38 | 4 | 226 | 39 | -47 | +7 | +0 | -4 | +14 | -3.1 | |
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 A+Lakeland Flying Tigers · 487 PAwOBA .268 → .199 (−69)K% 27.7% → 39.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.72% | ÷1.005 | ×1.420 | — | — | 39.18% |
| BB% (unintentional) /PA | 4.31% | ÷0.958 | ×0.750 | — | ×0.988 | 3.34% |
| HBP% /PA | 0.82% | — | ×0.930 | — | ×0.988 | 0.75% |
| Singles /BIP | 22.15% | ÷1.026 | ×0.920 | ×0.950 | ×0.988 | 18.65% |
| Doubles /BIP | 4.75% | ÷1.037 | ×0.960 | ×0.950 | ×0.988 | 4.12% |
| Triples /BIP | 3.48% | ÷1.004 | ×0.810 | ×0.950 | ×0.988 | 2.64% |
| Home runs /BIP | 2.22% | ÷0.963 | ×0.880 | — | ×0.988 | 2.00% |
Factors used: league row FSL. Park (home-season share, regressed): HR 93, 1B 105, 2B 107, 3B 101, K 101, BB 92 — 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 ×0.950.
Result: wOBA .268 → .199; ISO .129 → .094; BABIP .308 → .256. 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 AWest Michigan Whitecaps · 195 PAwOBA .353 → .275 (−78)K% 25.6% → 35.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.64% | ÷0.971 | ×1.360 | — | — | 35.91% |
| BB% (unintentional) /PA | 6.67% | ÷0.988 | ×0.690 | — | ×0.990 | 4.61% |
| HBP% /PA | 1.54% | — | ×0.780 | — | ×0.990 | 1.19% |
| Singles /BIP | 32.54% | ÷1.017 | ×0.920 | ×1.008 | ×0.990 | 29.35% |
| Doubles /BIP | 5.56% | ÷1.024 | ×0.830 | ×1.008 | ×0.990 | 4.49% |
| Triples /BIP | 3.97% | ÷1.045 | ×0.910 | ×1.008 | ×0.990 | 3.45% |
| Home runs /BIP | 1.59% | ÷0.942 | ×0.800 | — | ×0.990 | 1.33% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 103, 2B 105, 3B 109, K 94, BB 98 — 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 ×1.008.
Result: wOBA .353 → .275; ISO .131 → .099; BABIP .421 → .371. 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+Lakeland Flying Tigers · 52 PAwOBA .377 → .302 (−75)K% 25.0% → 36.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷0.987 | ×1.420 | — | — | 35.97% |
| BB% (unintentional) /PA | 9.62% | ÷1.097 | ×0.750 | — | ×0.998 | 6.56% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.998 | 0.00% |
| Singles /BIP | 37.50% | ÷0.974 | ×0.920 | — | ×0.998 | 35.36% |
| Doubles /BIP | 3.12% | ÷0.995 | ×0.960 | — | ×0.998 | 3.01% |
| Triples /BIP | 3.12% | ÷1.150 | ×0.810 | — | ×0.998 | 2.20% |
| Home runs /BIP | 3.12% | ÷1.277 | ×0.880 | — | ×0.998 | 2.15% |
Factors used: league row FSL. Park (home-season share, regressed): HR 155, 1B 95, 2B 99, 3B 130, K 97, BB 119 — 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).
Result: wOBA .377 → .302; ISO .133 → .092; BABIP .438 → .401. 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).