D.J. Wilson
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 20 | ACHC | 348 | .229/.309/.419 | 9 | 15 | 50 | — | .175/.237/.325 |
| 2018 | 21 | A+/INTL2 orgs | 343 | .213/.306/.277 | 1 | 16 | 29 | — | .168/.230/.224 |
| 2019 | 22 | A+CHC | 169 | .143/.281/.264 | 4 | 9 | 9 | — | .107/.198/.193 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK | AZL Cubs | — | 89 | 79 | 21 | 3 | 2 | 0 | 6 | 15 | 1 | 5 | 1 | 266 | 326 | 354 | 680 | 89 | 323 | 17 | 7 | 298 | 33 | — | — | — | — | — | — |
| 2017 | 20 | A | South Bend Cubs | — | 348 | 310 | 71 | 16 | 8 | 9 | 33 | 89 | 3 | 15 | 7 | 229 | 309 | 419 | 729 | 190 | 292 | 26 | 9 | 321 | 50 | — | — | — | — | — | — |
| 2018 | 21 | A+ | Myrtle Beach Pelicans | — | 272 | 237 | 52 | 9 | 2 | 1 | 32 | 71 | 1 | 10 | 6 | 219 | 315 | 287 | 602 | 68 | 309 | 26 | 12 | 280 | 24 | — | — | — | — | — | — |
| 2018 | 21 | INTL | Mesa Solar Sox | — | 71 | 63 | 12 | 3 | 0 | 0 | 7 | 20 | 0 | 6 | 0 | 190 | 271 | 238 | 510 | 48 | 273 | 28 | 10 | 238 | 47 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Myrtle Beach Pelicans | — | 169 | 140 | 20 | 3 | 1 | 4 | 25 | 56 | 2 | 9 | 5 | 143 | 281 | 264 | 546 | 121 | 198 | 33 | 15 | 258 | 9 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK MLE | AZL Cubs | — | 89 | 81 | 16 | 2 | 1 | 0 | 4 | 22 | 1 | 5 | 1 | 198 | 244 | 247 | 491 | 49 | 254 | 25 | 4 | 217 | 33 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | South Bend Cubs | — | 348 | 320 | 56 | 12 | 6 | 8 | 23 | 119 | 3 | 15 | 7 | 175 | 237 | 325 | 562 | 150 | 246 | 34 | 7 | 242 | 50 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | Myrtle Beach Pelicans | — | 272 | 250 | 42 | 7 | 2 | 1 | 19 | 102 | 1 | 10 | 6 | 168 | 230 | 224 | 454 | 56 | 272 | 38 | 7 | 203 | 24 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Myrtle Beach Pelicans | — | 169 | 150 | 16 | 2 | 1 | 3 | 15 | 79 | 2 | 9 | 5 | 107 | 198 | 193 | 391 | 87 | 176 | 47 | 9 | 181 | 9 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | AZL Cubs | — | 89 | 81 | 16 | 2 | 1 | 0 | 4 | 22 | 1 | 5 | 1 | 198 | 244 | 247 | 491 | 49 | 267 | 25 | 4 | 217 | 33 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | AZL Cubs | — | 89 | 79 | 21 | 3 | 2 | 0 | 6 | 15 | 1 | 5 | 1 | 266 | 326 | 354 | 680 | 89 | 323 | 17 | 7 | 298 | 33 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | South Bend Cubs | — | 348 | 320 | 56 | 12 | 6 | 8 | 23 | 119 | 3 | 15 | 7 | 175 | 237 | 325 | 562 | 150 | 249 | 34 | 7 | 242 | 50 | — | — | — | — | — | — |
| 2017 | 20 | A RAW | South Bend Cubs | — | 348 | 310 | 71 | 16 | 8 | 9 | 33 | 89 | 3 | 15 | 7 | 229 | 309 | 419 | 729 | 190 | 292 | 26 | 9 | 321 | 50 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | 2 teams | — | 343 | 315 | 52 | 9 | 2 | 1 | 24 | 129 | 1 | 16 | 6 | 165 | 226 | 216 | 442 | 51 | 274 | 38 | 7 | 203 | 24 | — | — | — | — | — | — |
| 2018 | 21 | A+ RAW | 2 teams | — | 343 | 300 | 64 | 12 | 2 | 1 | 39 | 91 | 1 | 16 | 6 | 213 | 306 | 277 | 583 | 63 | 301 | 27 | 11 | 271 | 24 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Myrtle Beach Pelicans | — | 169 | 150 | 16 | 2 | 1 | 3 | 15 | 79 | 2 | 9 | 5 | 107 | 198 | 193 | 391 | 87 | 188 | 47 | 9 | 181 | 9 | — | — | — | — | — | — |
| 2019 | 22 | A+ RAW | Myrtle Beach Pelicans | — | 169 | 140 | 20 | 3 | 1 | 4 | 25 | 56 | 2 | 9 | 5 | 143 | 281 | 264 | 546 | 121 | 198 | 33 | 15 | 258 | 9 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | AZL Cubs | — | 89 | 84 | 16 | 2 | 1 | 0 | 4 | 22 | 1 | 5 | 1 | 190 | 244 | 238 | 482 | 48 | 254 | 25 | 4 | 217 | 33 | — | — | — | — | — | — |
| 2017 | 20 | A MLE | South Bend Cubs | — | 348 | 319 | 56 | 12 | 6 | 8 | 23 | 119 | 3 | 15 | 7 | 176 | 237 | 326 | 563 | 150 | 246 | 34 | 7 | 242 | 50 | — | — | — | — | — | — |
| 2018 | 21 | A+ MLE | 2 teams | — | 343 | 315 | 52 | 9 | 2 | 1 | 24 | 129 | 1 | 16 | 6 | 165 | 226 | 216 | 442 | 51 | 272 | 38 | 7 | 203 | 24 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Myrtle Beach Pelicans | — | 169 | 150 | 16 | 2 | 1 | 3 | 15 | 79 | 2 | 9 | 5 | 107 | 198 | 193 | 391 | 87 | 176 | 47 | 9 | 181 | 9 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 949 | 866 | 140 | 25 | 10 | 12 | 66 | 349 | 7 | 45 | 19 | 162 | 227 | 255 | 482 | 94 | 252 | 37 | 7 | 215 | 31 | -77 | +1 | +0 | +3 | +21 | -5.3 | |
| / 162G | — | MLE | — | 650 | 593 | 96 | 17 | 7 | 8 | 45 | 239 | 5 | 31 | 13 | 162 | 227 | 255 | 482 | 93 | 253 | 37 | 7 | 215 | 31 | -53 | +1 | +0 | +2 | +14 | -3.6 | |
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+Myrtle Beach Pelicans · 169 PAwOBA .251 → .181 (−70)K% 33.1% → 46.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 33.14% | ÷1.009 | ×1.420 | — | — | 46.62% |
| BB% (unintentional) /PA | 14.20% | ÷1.041 | ×0.630 | — | ×0.998 | 8.58% |
| HBP% /PA | 1.18% | — | ×0.860 | — | ×0.998 | 1.02% |
| Singles /BIP | 14.29% | ÷0.967 | ×0.940 | ×0.950 | ×0.998 | 13.17% |
| Doubles /BIP | 3.57% | ÷0.968 | ×0.830 | ×0.950 | ×0.998 | 2.90% |
| Triples /BIP | 1.19% | ÷0.964 | ×0.800 | ×0.950 | ×0.998 | 0.94% |
| Home runs /BIP | 4.76% | ÷0.956 | ×0.900 | — | ×0.998 | 4.48% |
Factors used: league row CAR. Park (home-season share, regressed): HR 91, 1B 93, 2B 94, 3B 93, K 102, BB 108 — 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 ×0.950.
Result: wOBA .251 → .181; ISO .121 → .096; BABIP .198 → .176. 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+Myrtle Beach Pelicans · 272 PAwOBA .272 → .203 (−69)K% 26.1% → 37.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.10% | ÷0.987 | ×1.420 | — | — | 37.56% |
| BB% (unintentional) /PA | 11.40% | ÷1.032 | ×0.630 | — | ×1.012 | 7.04% |
| HBP% /PA | 0.37% | — | ×0.860 | — | ×1.012 | 0.32% |
| Singles /BIP | 24.10% | ÷1.078 | ×0.940 | ×0.991 | ×1.012 | 21.08% |
| Doubles /BIP | 5.42% | ÷0.915 | ×0.830 | ×0.991 | ×1.012 | 4.93% |
| Triples /BIP | 1.20% | ÷0.924 | ×0.800 | ×0.991 | ×1.012 | 1.05% |
| Home runs /BIP | 0.60% | ÷0.933 | ×0.900 | — | ×1.012 | 0.59% |
Factors used: league row CAR. Park (home-season share, regressed): HR 87, 1B 116, 2B 83, 3B 85, K 97, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.
Result: wOBA .272 → .203; ISO .068 → .056; BABIP .309 → .272. 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 ASouth Bend Cubs · 348 PAwOBA .313 → .242 (−71)K% 25.6% → 34.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.57% | ÷1.021 | ×1.360 | — | — | 34.05% |
| BB% (unintentional) /PA | 9.48% | ÷1.023 | ×0.690 | — | ×1.015 | 6.49% |
| HBP% /PA | 0.86% | — | ×0.780 | — | ×1.015 | 0.68% |
| Singles /BIP | 17.19% | ÷1.024 | ×0.920 | ×0.950 | ×1.015 | 14.89% |
| Doubles /BIP | 7.24% | ÷1.027 | ×0.830 | ×0.950 | ×1.015 | 5.64% |
| Triples /BIP | 3.62% | ÷1.004 | ×0.910 | ×0.950 | ×1.015 | 3.16% |
| Home runs /BIP | 4.07% | ÷0.869 | ×0.800 | — | ×1.015 | 3.81% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 105, 2B 105, 3B 101, K 104, BB 105 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .313 → .242; ISO .190 → .154; BABIP .292 → .246. 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).
2015 ROKAZL Cubs · 89 PAwOBA .293 → .217 (−76)K% 16.9% → 24.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.85% | ÷1.000 | ×1.440 | — | — | 24.27% |
| BB% (unintentional) /PA | 6.74% | ÷1.000 | ×0.620 | — | ×1.008 | 4.21% |
| HBP% /PA | 1.12% | — | ×0.720 | — | ×1.008 | 0.82% |
| Singles /BIP | 25.00% | ÷1.000 | ×0.820 | ×0.981 | ×1.008 | 20.26% |
| Doubles /BIP | 4.69% | ÷1.000 | ×0.720 | ×0.981 | ×1.008 | 3.33% |
| Triples /BIP | 3.12% | ÷1.000 | ×0.720 | ×0.981 | ×1.008 | 2.22% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.981.
Result: wOBA .293 → .217; ISO .089 → .062; BABIP .323 → .254. 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 — .