Bryant Aragon
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 17 | ROKAZL Padres | 64 | .224/.286/.345 | 0 | 0 | 8 | — | .136/.190/.203 |
| 2016 | 18 | ROKAZL Padres | 127 | .243/.304/.383 | 3 | 0 | 30 | — | .169/.216/.254 |
| 2019 | 21 | AAA/INTL2 orgs | 263 | .277/.338/.353 | 2 | 1 | 59 | — | .239/.289/.291 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK | AZL Padres | — | 64 | 58 | 13 | 3 | 2 | 0 | 3 | 22 | 2 | 0 | 1 | 224 | 286 | 345 | 631 | 121 | 351 | 34 | 5 | 279 | 8 | — | — | — | — | — | — |
| 2016 | 18 | ROK | AZL Padres | — | 127 | 115 | 28 | 3 | 2 | 3 | 9 | 27 | 1 | 0 | 0 | 243 | 304 | 383 | 687 | 139 | 287 | 21 | 7 | 303 | 30 | — | — | — | — | — | — |
| 2019 | 21 | AAA | Algodoneros Union Laguna | — | 231 | 207 | 60 | 11 | 0 | 2 | 19 | 64 | 2 | 1 | 1 | 290 | 355 | 372 | 727 | 82 | 408 | 28 | 8 | 327 | 64 | — | — | — | — | — | — |
| 2019 | 21 | INTL | Algodoneros de Guasave | — | 32 | 31 | 6 | 1 | 0 | 0 | 1 | 15 | 0 | 0 | 0 | 194 | 219 | 226 | 445 | 32 | 375 | 47 | 3 | 203 | 24 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK MLE | AZL Padres | — | 64 | 59 | 8 | 2 | 1 | 0 | 2 | 32 | 2 | 0 | 1 | 136 | 190 | 203 | 394 | 68 | 283 | 50 | 3 | 180 | 8 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | AZL Padres | — | 127 | 118 | 20 | 2 | 1 | 2 | 6 | 39 | 1 | 0 | 0 | 169 | 216 | 254 | 470 | 85 | 222 | 31 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2019 | 21 | AAA MLE | Algodoneros Union Laguna | — | 231 | 213 | 51 | 8 | 0 | 1 | 13 | 80 | 2 | 1 | 1 | 239 | 289 | 291 | 581 | 52 | 371 | 35 | 6 | 263 | 64 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | AZL Padres | — | 64 | 59 | 8 | 2 | 1 | 0 | 2 | 32 | 2 | 0 | 1 | 136 | 190 | 203 | 394 | 68 | 286 | 50 | 3 | 180 | 8 | — | — | — | — | — | — |
| 2015 | 17 | ROK RAW | AZL Padres | — | 64 | 58 | 13 | 3 | 2 | 0 | 3 | 22 | 2 | 0 | 1 | 224 | 286 | 345 | 631 | 121 | 351 | 34 | 5 | 279 | 8 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | AZL Padres | — | 127 | 118 | 20 | 2 | 1 | 2 | 6 | 39 | 1 | 0 | 0 | 169 | 216 | 254 | 470 | 85 | 228 | 31 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | AZL Padres | — | 127 | 115 | 28 | 3 | 2 | 3 | 9 | 27 | 1 | 0 | 0 | 243 | 304 | 383 | 687 | 139 | 287 | 21 | 7 | 303 | 30 | — | — | — | — | — | — |
| 2019 | 21 | AAA MLE | 2 teams | — | 263 | 243 | 59 | 9 | 0 | 2 | 15 | 92 | 2 | 1 | 1 | 243 | 292 | 305 | 597 | 62 | 380 | 35 | 6 | 263 | 64 | — | — | — | — | — | — |
| 2019 | 21 | AAA RAW | 2 teams | — | 263 | 238 | 66 | 12 | 0 | 2 | 20 | 79 | 2 | 1 | 1 | 277 | 338 | 353 | 691 | 76 | 405 | 30 | 8 | 312 | 64 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | AZL Padres | — | 64 | 60 | 8 | 2 | 1 | 0 | 2 | 32 | 2 | 0 | 1 | 133 | 190 | 200 | 390 | 67 | 283 | 50 | 3 | 180 | 8 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | AZL Padres | — | 127 | 119 | 20 | 2 | 1 | 2 | 6 | 39 | 1 | 0 | 0 | 168 | 216 | 252 | 468 | 84 | 222 | 31 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2019 | 21 | AAA MLE | 2 teams | — | 263 | 244 | 59 | 9 | 0 | 2 | 15 | 92 | 2 | 1 | 1 | 242 | 292 | 303 | 596 | 61 | 371 | 35 | 6 | 263 | 64 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 454 | 420 | 87 | 13 | 2 | 4 | 23 | 163 | 5 | 1 | 2 | 207 | 257 | 276 | 533 | 69 | 323 | 36 | 5 | 237 | 47 | -29 | -1 | +0 | +8 | +10 | -1.2 | |
| / 162G | — | MLE | — | 650 | 601 | 125 | 19 | 3 | 6 | 33 | 233 | 7 | 1 | 3 | 208 | 257 | 280 | 537 | 72 | 323 | 36 | 5 | 237 | 47 | -41 | -1 | +0 | +12 | +14 | -1.7 | |
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 AAAAlgodoneros Union Laguna · 231 PAwOBA .318 → .263 (−55)K% 27.7% → 34.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.71% | ÷0.956 | ×1.200 | — | — | 34.76% |
| BB% (unintentional) /PA | 7.79% | ÷1.004 | ×0.690 | — | ×1.050 | 5.62% |
| HBP% /PA | 0.87% | — | ×0.940 | — | ×1.050 | 0.85% |
| Singles /BIP | 32.87% | ÷0.981 | ×0.930 | ×0.950 | ×1.050 | 31.08% |
| Doubles /BIP | 7.69% | ÷1.076 | ×0.830 | ×0.950 | ×1.050 | 5.92% |
| Triples /BIP | 0.00% | ÷1.116 | ×0.920 | ×0.950 | ×1.050 | 0.00% |
| Home runs /BIP | 1.40% | ÷1.028 | ×0.700 | — | ×1.050 | 1.00% |
Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 115, 3B 123, K 91, BB 101 — applied at half strength. Age: age 21 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (6.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .318 → .263; ISO .082 → .058; BABIP .408 → .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).
2016 ROKAZL Padres · 127 PAwOBA .299 → .212 (−87)K% 21.3% → 30.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.26% | ÷1.000 | ×1.440 | — | — | 30.61% |
| BB% (unintentional) /PA | 7.09% | ÷1.000 | ×0.620 | — | ×1.022 | 4.49% |
| HBP% /PA | 0.79% | — | ×0.720 | — | ×1.022 | 0.58% |
| Singles /BIP | 22.73% | ÷1.000 | ×0.820 | ×0.955 | ×1.022 | 18.20% |
| Doubles /BIP | 3.41% | ÷1.000 | ×0.720 | ×0.955 | ×1.022 | 2.40% |
| Triples /BIP | 2.27% | ÷1.000 | ×0.720 | ×0.955 | ×1.022 | 1.60% |
| Home runs /BIP | 3.41% | ÷1.000 | ×0.780 | — | ×1.022 | 2.72% |
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 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.955.
Result: wOBA .299 → .212; ISO .139 → .098; BABIP .287 → .222. 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 Padres · 64 PAwOBA .277 → .180 (−97)K% 34.4% → 49.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 34.38% | ÷1.000 | ×1.440 | — | — | 49.50% |
| BB% (unintentional) /PA | 4.69% | ÷1.000 | ×0.620 | — | ×1.038 | 3.02% |
| HBP% /PA | 3.12% | — | ×0.720 | — | ×1.038 | 2.33% |
| Singles /BIP | 22.22% | ÷1.000 | ×0.820 | — | ×1.038 | 18.91% |
| Doubles /BIP | 8.33% | ÷1.000 | ×0.720 | — | ×1.038 | 6.22% |
| Triples /BIP | 5.56% | ÷1.000 | ×0.720 | — | ×1.038 | 4.15% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.038 | 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 17 vs a level average of 19.5 → +3.8% on BB/HBP/hit rates (2.5 yr younger than average).
Result: wOBA .277 → .180; ISO .121 → .072; BABIP .351 → .283. 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 — .