Jose Cabello
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 18 | ROKWSH | 141 | .165/.268/.182 | 0 | 0 | -10 | — | .112/.196/.120 |
| 2016 | 19 | ROKWSH | 215 | .277/.396/.333 | 0 | 4 | 39 | — | .177/.278/.215 |
| 2017 | 20 | ROKGCL Nationals | 65 | .245/.431/.367 | 1 | 1 | 63 | — | .182/.308/.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 | 18 | ROK | DSL Nationals | — | 141 | 121 | 20 | 2 | 0 | 0 | 13 | 24 | 4 | 0 | 1 | 165 | 268 | 182 | 450 | 17 | 204 | 17 | 9 | 219 | -10 | — | — | — | — | — | — |
| 2016 | 19 | ROK | DSL Nationals | — | 215 | 177 | 49 | 8 | 1 | 0 | 28 | 24 | 7 | 4 | 4 | 277 | 396 | 333 | 730 | 56 | 314 | 11 | 13 | 338 | 39 | — | — | — | — | — | — |
| 2017 | 20 | ROK | GCL Nationals | — | 65 | 49 | 12 | 1 | 1 | 1 | 15 | 12 | 1 | 1 | 0 | 245 | 431 | 367 | 798 | 122 | 306 | 18 | 23 | 374 | 63 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 18 | ROK MLE | DSL Nationals | — | 141 | 125 | 14 | 1 | 0 | 0 | 9 | 29 | 4 | 0 | 1 | 112 | 196 | 120 | 316 | 8 | 143 | 21 | 6 | 153 | -10 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | DSL Nationals | — | 215 | 186 | 33 | 5 | 1 | 0 | 19 | 29 | 7 | 4 | 4 | 177 | 278 | 215 | 493 | 38 | 200 | 13 | 9 | 226 | 39 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | GCL Nationals | — | 65 | 55 | 10 | 1 | 1 | 1 | 9 | 17 | 1 | 1 | 0 | 182 | 308 | 291 | 599 | 109 | 240 | 26 | 14 | 261 | 63 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Nationals | — | 141 | 125 | 14 | 1 | 0 | 0 | 9 | 29 | 4 | 0 | 1 | 112 | 196 | 120 | 316 | 8 | 144 | 21 | 6 | 153 | -10 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | DSL Nationals | — | 141 | 121 | 20 | 2 | 0 | 0 | 13 | 24 | 4 | 0 | 1 | 165 | 268 | 182 | 450 | 17 | 204 | 17 | 9 | 219 | -10 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | DSL Nationals | — | 215 | 186 | 33 | 5 | 1 | 0 | 19 | 29 | 7 | 4 | 4 | 177 | 278 | 215 | 493 | 38 | 206 | 13 | 9 | 226 | 39 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | DSL Nationals | — | 215 | 177 | 49 | 8 | 1 | 0 | 28 | 24 | 7 | 4 | 4 | 277 | 396 | 333 | 730 | 56 | 314 | 11 | 13 | 338 | 39 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | GCL Nationals | — | 65 | 55 | 10 | 1 | 1 | 1 | 9 | 17 | 1 | 1 | 0 | 182 | 308 | 291 | 599 | 109 | 243 | 26 | 14 | 261 | 63 | — | — | — | — | — | — |
| 2017 | 20 | ROK RAW | GCL Nationals | — | 65 | 49 | 12 | 1 | 1 | 1 | 15 | 12 | 1 | 1 | 0 | 245 | 431 | 367 | 798 | 122 | 306 | 18 | 23 | 374 | 63 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Nationals | — | 141 | 127 | 14 | 1 | 0 | 0 | 9 | 29 | 4 | 0 | 1 | 110 | 196 | 118 | 314 | 8 | 143 | 21 | 6 | 153 | -10 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | DSL Nationals | — | 215 | 187 | 33 | 5 | 1 | 0 | 19 | 29 | 7 | 4 | 4 | 176 | 278 | 214 | 492 | 37 | 200 | 13 | 9 | 226 | 39 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | GCL Nationals | — | 65 | 55 | 10 | 1 | 1 | 1 | 9 | 17 | 1 | 1 | 0 | 182 | 308 | 291 | 599 | 109 | 240 | 26 | 14 | 261 | 63 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 421 | 366 | 57 | 7 | 2 | 1 | 37 | 75 | 12 | 5 | 5 | 156 | 255 | 194 | 449 | 38 | 190 | 18 | 9 | 207 | 26 | -37 | -1 | +0 | +8 | +9 | -2.2 | |
| / 162G | — | MLE | — | 650 | 565 | 89 | 11 | 3 | 2 | 57 | 116 | 19 | 8 | 8 | 158 | 257 | 198 | 456 | 41 | 192 | 18 | 9 | 207 | 26 | -57 | -2 | +0 | +12 | +14 | -3.4 | |
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.
2017 ROKGCL Nationals · 65 PAwOBA .366 → .261 (−105)K% 18.5% → 26.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.46% | ÷1.000 | ×1.440 | — | — | 26.58% |
| BB% (unintentional) /PA | 23.08% | ÷1.000 | ×0.620 | — | ×0.985 | 14.09% |
| HBP% /PA | 1.54% | — | ×0.720 | — | ×0.985 | 1.09% |
| Singles /BIP | 24.32% | ÷1.000 | ×0.820 | — | ×0.985 | 19.65% |
| Doubles /BIP | 2.70% | ÷1.000 | ×0.720 | — | ×0.985 | 1.92% |
| Triples /BIP | 2.70% | ÷1.000 | ×0.720 | — | ×0.985 | 1.92% |
| Home runs /BIP | 2.70% | ÷1.000 | ×0.780 | — | ×0.985 | 2.08% |
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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).
Result: wOBA .366 → .261; ISO .122 → .093; BABIP .306 → .240. 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 DSLDSL Nationals · 215 PAwOBA .335 → .226 (−109)K% 11.2% → 13.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.16% | ÷1.000 | ×1.220 | — | — | 13.62% |
| BB% (unintentional) /PA | 13.02% | ÷1.000 | ×0.700 | — | ×0.985 | 8.98% |
| HBP% /PA | 3.26% | — | ×0.700 | — | ×0.985 | 2.24% |
| Singles /BIP | 26.14% | ÷1.000 | ×0.680 | ×0.972 | ×0.985 | 17.02% |
| Doubles /BIP | 5.23% | ÷1.000 | ×0.600 | ×0.972 | ×0.985 | 3.00% |
| Triples /BIP | 0.65% | ÷1.000 | ×0.600 | ×0.972 | ×0.985 | 0.38% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.985 | 0.00% |
Factors used: level-wide DSL 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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.
Result: wOBA .335 → .226; ISO .056 → .034; BABIP .314 → .200. 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 DSLDSL Nationals · 141 PAwOBA .216 → .153 (−62)K% 17.0% → 20.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.02% | ÷1.000 | ×1.220 | — | — | 20.77% |
| BB% (unintentional) /PA | 9.22% | ÷1.000 | ×0.700 | — | ×0.995 | 6.42% |
| HBP% /PA | 2.84% | — | ×0.700 | — | ×0.995 | 1.98% |
| Singles /BIP | 18.56% | ÷1.000 | ×0.680 | ×1.050 | ×0.995 | 13.18% |
| Doubles /BIP | 2.06% | ÷1.000 | ×0.600 | ×1.050 | ×0.995 | 1.29% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.050 | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.995 | 0.00% |
Factors used: level-wide DSL 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 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .216 → .153; ISO .017 → .011; BABIP .204 → .143. 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).