Edilberto Mendoza
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 18 | ROKDSL Rangers 1 | 114 | .207/.384/.264 | 1 | 0 | 38 | — | .140/.286/.183 |
| 2018 | 19 | ROKDSL Rangers 1 | 205 | .211/.394/.342 | 4 | 2 | 38 | — | .127/.273/.194 |
| 2019 | 20 | ROKDSL Rangers 1 | 192 | .234/.429/.369 | 2 | 2 | 52 | — | .143/.302/.214 |
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) | |||||||||||||||||||||||||||||||
| 2017 | 18 | ROK | DSL Rangers 1 | — | 114 | 87 | 18 | 2 | 0 | 1 | 22 | 21 | 3 | 0 | 0 | 207 | 384 | 264 | 648 | 57 | 254 | 18 | 19 | 314 | 38 | — | — | — | — | — | — |
| 2018 | 19 | ROK | DSL Rangers 1 | — | 205 | 152 | 32 | 8 | 0 | 4 | 42 | 53 | 4 | 2 | 2 | 211 | 394 | 342 | 736 | 132 | 286 | 26 | 20 | 336 | 38 | — | — | — | — | — | — |
| 2019 | 20 | ROK | DSL Rangers 1 | — | 192 | 141 | 33 | 9 | 2 | 2 | 43 | 29 | 5 | 2 | 1 | 234 | 429 | 369 | 797 | 135 | 274 | 15 | 22 | 368 | 52 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 18 | ROK MLE | DSL Rangers 1 | — | 114 | 93 | 13 | 1 | 0 | 1 | 16 | 26 | 3 | 0 | 0 | 140 | 286 | 183 | 469 | 43 | 178 | 23 | 14 | 224 | 38 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Rangers 1 | — | 205 | 165 | 21 | 5 | 0 | 2 | 29 | 65 | 4 | 2 | 2 | 127 | 273 | 194 | 467 | 67 | 177 | 32 | 14 | 224 | 38 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | DSL Rangers 1 | — | 192 | 154 | 22 | 6 | 1 | 1 | 30 | 35 | 5 | 2 | 1 | 143 | 302 | 214 | 516 | 71 | 166 | 18 | 16 | 245 | 52 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Rangers 1 | — | 114 | 93 | 13 | 1 | 0 | 1 | 16 | 26 | 3 | 0 | 0 | 140 | 286 | 183 | 469 | 43 | 176 | 23 | 14 | 224 | 38 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | DSL Rangers 1 | — | 114 | 87 | 18 | 2 | 0 | 1 | 22 | 21 | 3 | 0 | 0 | 207 | 384 | 264 | 648 | 57 | 254 | 18 | 19 | 314 | 38 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Rangers 1 | — | 205 | 165 | 21 | 5 | 0 | 2 | 29 | 65 | 4 | 2 | 2 | 127 | 273 | 194 | 467 | 67 | 188 | 32 | 14 | 224 | 38 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | DSL Rangers 1 | — | 205 | 152 | 32 | 8 | 0 | 4 | 42 | 53 | 4 | 2 | 2 | 211 | 394 | 342 | 736 | 132 | 286 | 26 | 20 | 336 | 38 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | DSL Rangers 1 | — | 192 | 154 | 22 | 6 | 1 | 1 | 30 | 35 | 5 | 2 | 1 | 143 | 302 | 214 | 516 | 71 | 174 | 18 | 16 | 245 | 52 | — | — | — | — | — | — |
| 2019 | 20 | ROK RAW | DSL Rangers 1 | — | 192 | 141 | 33 | 9 | 2 | 2 | 43 | 29 | 5 | 2 | 1 | 234 | 429 | 369 | 797 | 135 | 274 | 15 | 22 | 368 | 52 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | DSL Rangers 1 | — | 114 | 94 | 13 | 1 | 0 | 1 | 16 | 26 | 3 | 0 | 0 | 138 | 286 | 181 | 467 | 43 | 178 | 23 | 14 | 224 | 38 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | DSL Rangers 1 | — | 205 | 170 | 21 | 5 | 0 | 2 | 29 | 65 | 4 | 2 | 2 | 124 | 273 | 188 | 461 | 65 | 177 | 32 | 14 | 224 | 38 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | DSL Rangers 1 | — | 192 | 155 | 22 | 6 | 1 | 1 | 30 | 35 | 5 | 2 | 1 | 142 | 302 | 213 | 514 | 71 | 166 | 18 | 16 | 245 | 52 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 511 | 412 | 56 | 12 | 1 | 4 | 75 | 126 | 12 | 4 | 3 | 136 | 287 | 199 | 486 | 63 | 179 | 25 | 15 | 232 | 43 | -35 | -0 | +0 | +9 | +11 | -1.5 | |
| / 162G | — | MLE | — | 650 | 524 | 71 | 15 | 1 | 5 | 95 | 160 | 15 | 5 | 4 | 135 | 285 | 197 | 482 | 61 | 179 | 25 | 15 | 232 | 43 | -44 | -1 | +0 | +12 | +14 | -1.9 | |
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 DSLDSL Rangers 1 · 192 PAwOBA .366 → .245 (−122)K% 15.1% → 18.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.10% | ÷1.000 | ×1.220 | — | — | 18.43% |
| BB% (unintentional) /PA | 22.40% | ÷1.000 | ×0.700 | — | ×0.985 | 15.44% |
| HBP% /PA | 2.60% | — | ×0.700 | — | ×0.985 | 1.80% |
| Singles /BIP | 17.86% | ÷1.000 | ×0.680 | ×0.950 | ×0.985 | 11.36% |
| Doubles /BIP | 8.04% | ÷1.000 | ×0.600 | ×0.950 | ×0.985 | 4.51% |
| Triples /BIP | 1.79% | ÷1.000 | ×0.600 | ×0.950 | ×0.985 | 1.00% |
| Home runs /BIP | 1.79% | ÷1.000 | ×0.470 | — | ×0.985 | 0.83% |
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 ×0.950.
Result: wOBA .366 → .245; ISO .135 → .079; BABIP .274 → .166. 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 DSLDSL Rangers 1 · 205 PAwOBA .334 → .224 (−110)K% 25.9% → 31.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.85% | ÷1.000 | ×1.220 | — | — | 31.54% |
| BB% (unintentional) /PA | 20.49% | ÷1.000 | ×0.700 | — | ×0.995 | 14.27% |
| HBP% /PA | 1.95% | — | ×0.700 | — | ×0.995 | 1.36% |
| Singles /BIP | 20.20% | ÷1.000 | ×0.680 | ×0.967 | ×0.995 | 13.21% |
| Doubles /BIP | 8.08% | ÷1.000 | ×0.600 | ×0.967 | ×0.995 | 4.66% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×0.967 | ×0.995 | 0.00% |
| Home runs /BIP | 4.04% | ÷1.000 | ×0.470 | — | ×0.995 | 1.89% |
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 ×0.967.
Result: wOBA .334 → .224; ISO .132 → .074; BABIP .286 → .177. 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 DSLDSL Rangers 1 · 114 PAwOBA .313 → .224 (−89)K% 18.4% → 22.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.42% | ÷1.000 | ×1.220 | — | — | 22.47% |
| BB% (unintentional) /PA | 19.30% | ÷1.000 | ×0.700 | — | ×1.008 | 13.61% |
| HBP% /PA | 2.63% | — | ×0.700 | — | ×1.008 | 1.86% |
| Singles /BIP | 22.73% | ÷1.000 | ×0.680 | ×1.043 | ×1.008 | 16.24% |
| Doubles /BIP | 3.03% | ÷1.000 | ×0.600 | ×1.043 | ×1.008 | 1.91% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.043 | ×1.008 | 0.00% |
| Home runs /BIP | 1.52% | ÷1.000 | ×0.470 | — | ×1.008 | 0.72% |
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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.
Result: wOBA .313 → .224; ISO .057 → .033; BABIP .254 → .178. 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).