DJ Jenkins
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 22 | ROKAZL Angels | 127 | .265/.331/.274 | 0 | 14 | 30 | — | .214/.258/.222 |
| 2017 | 23 | A+/A2 orgs | 276 | .265/.325/.293 | 0 | 17 | 49 | — | .237/.284/.261 |
| 2018 | 24 | A+SEA | 286 | .219/.285/.269 | 1 | 7 | 26 | — | .184/.236/.218 |
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 | 22 | ROK | AZL Angels | — | 127 | 113 | 30 | 1 | 0 | 0 | 10 | 18 | 1 | 14 | 5 | 265 | 331 | 274 | 605 | 9 | 312 | 14 | 8 | 277 | 30 | — | — | — | — | — | — |
| 2017 | 23 | A+ | Inland Empire 66ers | — | 68 | 65 | 13 | 2 | 0 | 0 | 2 | 15 | 0 | 4 | 0 | 200 | 224 | 231 | 455 | 31 | 255 | 22 | 3 | 205 | 8 | — | — | — | — | — | — |
| 2017 | 23 | A | Burlington Bees | — | 208 | 184 | 53 | 3 | 1 | 0 | 17 | 43 | 3 | 13 | 4 | 288 | 358 | 315 | 673 | 27 | 376 | 21 | 8 | 307 | 63 | — | — | — | — | — | — |
| 2018 | 24 | A+ | Inland Empire 66ers | — | 286 | 260 | 57 | 6 | 2 | 1 | 22 | 63 | 2 | 7 | 5 | 219 | 285 | 269 | 554 | 50 | 284 | 22 | 8 | 256 | 26 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 22 | ROK MLE | AZL Angels | — | 127 | 117 | 25 | 1 | 0 | 0 | 6 | 26 | 1 | 14 | 5 | 214 | 258 | 222 | 480 | 9 | 261 | 20 | 5 | 213 | 30 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | Inland Empire 66ers | — | 68 | 66 | 12 | 2 | 0 | 0 | 1 | 21 | 0 | 4 | 0 | 182 | 194 | 212 | 406 | 30 | 253 | 31 | 1 | 180 | 8 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | Burlington Bees | — | 208 | 188 | 48 | 2 | 1 | 0 | 13 | 59 | 3 | 13 | 4 | 255 | 314 | 277 | 590 | 21 | 357 | 28 | 6 | 261 | 63 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | Inland Empire 66ers | — | 286 | 266 | 49 | 4 | 1 | 1 | 16 | 81 | 2 | 7 | 5 | 184 | 236 | 218 | 454 | 34 | 258 | 28 | 6 | 207 | 26 | — | — | — | — | — | — |
| 2016 | 22 | ROK MLE | AZL Angels | — | 127 | 117 | 25 | 1 | 0 | 0 | 6 | 26 | 1 | 14 | 5 | 214 | 258 | 222 | 480 | 9 | 272 | 20 | 5 | 213 | 30 | — | — | — | — | — | — |
| 2016 | 22 | ROK RAW | AZL Angels | — | 127 | 113 | 30 | 1 | 0 | 0 | 10 | 18 | 1 | 14 | 5 | 265 | 331 | 274 | 605 | 9 | 312 | 14 | 8 | 277 | 30 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | 2 teams | — | 276 | 253 | 60 | 4 | 1 | 0 | 15 | 79 | 3 | 17 | 4 | 237 | 288 | 261 | 549 | 24 | 343 | 29 | 5 | 241 | 49 | — | — | — | — | — | — |
| 2017 | 23 | A RAW | 2 teams | — | 276 | 249 | 66 | 5 | 1 | 0 | 19 | 58 | 3 | 17 | 4 | 265 | 325 | 293 | 618 | 28 | 344 | 21 | 7 | 282 | 49 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | Inland Empire 66ers | — | 286 | 266 | 49 | 4 | 1 | 1 | 16 | 81 | 2 | 7 | 5 | 184 | 236 | 218 | 454 | 34 | 259 | 28 | 6 | 207 | 26 | — | — | — | — | — | — |
| 2018 | 24 | A+ RAW | Inland Empire 66ers | — | 286 | 260 | 57 | 6 | 2 | 1 | 22 | 63 | 2 | 7 | 5 | 219 | 285 | 269 | 554 | 50 | 284 | 22 | 8 | 256 | 26 | — | — | — | — | — | — |
| 2016 | 22 | ROK MLE | AZL Angels | — | 127 | 119 | 25 | 1 | 0 | 0 | 6 | 26 | 1 | 14 | 5 | 210 | 258 | 218 | 477 | 8 | 261 | 20 | 5 | 213 | 30 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | 2 teams | — | 276 | 256 | 60 | 4 | 1 | 0 | 15 | 79 | 3 | 17 | 4 | 234 | 288 | 258 | 546 | 23 | 331 | 29 | 5 | 241 | 49 | — | — | — | — | — | — |
| 2018 | 24 | A+ MLE | Inland Empire 66ers | — | 286 | 266 | 49 | 4 | 1 | 1 | 16 | 81 | 2 | 7 | 5 | 184 | 236 | 218 | 454 | 34 | 258 | 28 | 6 | 207 | 26 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 689 | 636 | 134 | 9 | 2 | 1 | 37 | 186 | 6 | 38 | 14 | 211 | 261 | 236 | 497 | 25 | 294 | 27 | 5 | 222 | 36 | -52 | +2 | +0 | +2 | +15 | -3.4 | |
| / 162G | — | MLE | — | 650 | 600 | 126 | 8 | 2 | 1 | 35 | 175 | 6 | 36 | 13 | 210 | 261 | 235 | 496 | 25 | 293 | 27 | 5 | 222 | 36 | -49 | +2 | +0 | +2 | +14 | -3.2 | |
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 A+Inland Empire 66ers · 286 PAwOBA .251 → .207 (−44)K% 22.0% → 28.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.03% | ÷1.044 | ×1.340 | — | — | 28.28% |
| BB% (unintentional) /PA | 7.69% | ÷0.986 | ×0.710 | — | ×0.988 | 5.48% |
| HBP% /PA | 0.70% | — | ×0.790 | — | ×0.988 | 0.55% |
| Singles /BIP | 24.37% | ÷0.977 | ×0.910 | ×1.014 | ×0.988 | 22.75% |
| Doubles /BIP | 3.05% | ÷1.087 | ×0.820 | ×1.014 | ×0.988 | 2.30% |
| Triples /BIP | 1.02% | ÷0.978 | ×0.760 | ×1.014 | ×0.988 | 0.79% |
| Home runs /BIP | 0.51% | ÷0.978 | ×0.920 | — | ×0.988 | 0.47% |
Factors used: league row CAL. Park (home-season share, regressed): HR 96, 1B 95, 2B 117, 3B 96, K 109, BB 97 — 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 ×1.014.
Result: wOBA .251 → .207; ISO .050 → .038; BABIP .284 → .258. 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 ABurlington Bees · 208 PAwOBA .300 → .261 (−39)K% 20.7% → 28.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.67% | ÷0.998 | ×1.360 | — | — | 28.18% |
| BB% (unintentional) /PA | 8.17% | ÷0.884 | ×0.690 | — | ×0.990 | 6.31% |
| HBP% /PA | 1.44% | — | ×0.780 | — | ×0.990 | 1.11% |
| Singles /BIP | 34.75% | ÷0.960 | ×0.920 | ×1.016 | ×0.990 | 33.50% |
| Doubles /BIP | 2.13% | ÷1.166 | ×0.830 | ×1.016 | ×0.990 | 1.52% |
| Triples /BIP | 0.71% | ÷0.900 | ×0.910 | ×1.016 | ×0.990 | 0.72% |
| Home runs /BIP | 0.00% | ÷1.105 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 92, 2B 133, 3B 80, K 100, BB 77 — 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 ×1.016.
Result: wOBA .300 → .261; ISO .027 → .022; BABIP .376 → .357. 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 A+Inland Empire 66ers · 68 PAwOBA .202 → .180 (−22)K% 22.1% → 30.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.06% | ÷0.975 | ×1.340 | — | — | 30.32% |
| BB% (unintentional) /PA | 2.94% | ÷1.003 | ×0.710 | — | ×0.998 | 2.08% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.998 | 0.00% |
| Singles /BIP | 22.00% | ÷0.955 | ×0.910 | ×1.050 | ×0.998 | 21.96% |
| Doubles /BIP | 4.00% | ÷0.891 | ×0.820 | ×1.050 | ×0.998 | 3.86% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.760 | ×1.050 | ×0.998 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.008 | ×0.920 | — | ×0.998 | 0.00% |
Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 91, 2B 78, 3B 130, K 95, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .202 → .180; ISO .031 → .027; BABIP .255 → .253. 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 ROKAZL Angels · 127 PAwOBA .273 → .213 (−60)K% 14.2% → 20.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.17% | ÷1.000 | ×1.440 | — | — | 20.41% |
| BB% (unintentional) /PA | 7.87% | ÷1.000 | ×0.620 | — | ×0.975 | 4.76% |
| HBP% /PA | 0.79% | — | ×0.720 | — | ×0.975 | 0.55% |
| Singles /BIP | 30.53% | ÷1.000 | ×0.820 | ×1.050 | ×0.975 | 25.63% |
| Doubles /BIP | 1.05% | ÷1.000 | ×0.720 | ×1.050 | ×0.975 | 0.78% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.050 | ×0.975 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.975 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). 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 ×1.050.
Result: wOBA .273 → .213; ISO .009 → .006; BABIP .312 → .261. 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).