Jose Gerardo
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 17 | ROKMIA | 218 | .284/.419/.551 | 11 | 18 | 63 | — | .168/.290/.297 |
| 2023 | 18 | ROKMIA | 226 | .192/.347/.319 | 5 | 17 | 9 | — | .097/.218/.159 |
| 2024 | 19 | ROKMIA | 126 | .165/.278/.284 | 1 | 21 | -27 | — | .061/.151/.096 |
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) | |||||||||||||||||||||||||||||||
| 2022 | 17 | ROK | DSL Marlins | — | 218 | 176 | 50 | 12 | 1 | 11 | 33 | 66 | 8 | 18 | 1 | 284 | 419 | 551 | 970 | 267 | 390 | 30 | 15 | 424 | 63 | — | — | — | — | — | — |
| 2023 | 18 | ROK | FCL Marlins | — | 226 | 182 | 35 | 6 | 1 | 5 | 37 | 96 | 6 | 17 | 5 | 192 | 347 | 319 | 665 | 126 | 366 | 42 | 16 | 313 | 9 | — | — | — | — | — | — |
| 2024 | 19 | ROK | FCL Marlins | — | 126 | 109 | 18 | 10 | 0 | 1 | 13 | 60 | 4 | 21 | 3 | 165 | 278 | 284 | 562 | 119 | 354 | 48 | 10 | 264 | -27 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 17 | ROK MLE | DSL Marlins | — | 218 | 185 | 31 | 7 | 1 | 5 | 24 | 79 | 8 | 18 | 1 | 168 | 290 | 297 | 588 | 130 | 243 | 36 | 11 | 261 | 63 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | FCL Marlins | — | 226 | 195 | 19 | 3 | 0 | 3 | 24 | 139 | 6 | 17 | 5 | 97 | 218 | 159 | 377 | 62 | 285 | 62 | 11 | 182 | 9 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Marlins | — | 126 | 114 | 7 | 4 | 0 | 0 | 8 | 88 | 4 | 21 | 3 | 61 | 151 | 96 | 247 | 35 | 257 | 70 | 6 | 129 | -27 | — | — | — | — | — | — |
| 2022 | 17 | ROK MLE | DSL Marlins | — | 218 | 185 | 31 | 7 | 1 | 5 | 24 | 79 | 8 | 18 | 1 | 168 | 290 | 297 | 588 | 130 | 255 | 36 | 11 | 261 | 63 | — | — | — | — | — | — |
| 2022 | 17 | ROK RAW | DSL Marlins | — | 218 | 176 | 50 | 12 | 1 | 11 | 33 | 66 | 8 | 18 | 1 | 284 | 419 | 551 | 970 | 267 | 390 | 30 | 15 | 424 | 63 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | FCL Marlins | — | 226 | 195 | 19 | 3 | 0 | 3 | 24 | 139 | 6 | 17 | 5 | 97 | 218 | 159 | 377 | 62 | 296 | 62 | 11 | 182 | 9 | — | — | — | — | — | — |
| 2023 | 18 | ROK RAW | FCL Marlins | — | 226 | 182 | 35 | 6 | 1 | 5 | 37 | 96 | 6 | 17 | 5 | 192 | 347 | 319 | 665 | 126 | 366 | 42 | 16 | 313 | 9 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Marlins | — | 126 | 114 | 7 | 4 | 0 | 0 | 8 | 88 | 4 | 21 | 3 | 61 | 151 | 96 | 247 | 35 | 269 | 70 | 6 | 129 | -27 | — | — | — | — | — | — |
| 2024 | 19 | ROK RAW | FCL Marlins | — | 126 | 109 | 18 | 10 | 0 | 1 | 13 | 60 | 4 | 21 | 3 | 165 | 278 | 284 | 562 | 119 | 354 | 48 | 10 | 264 | -27 | — | — | — | — | — | — |
| 2022 | 17 | ROK MLE | DSL Marlins | — | 218 | 184 | 31 | 7 | 1 | 5 | 24 | 79 | 8 | 18 | 1 | 168 | 290 | 299 | 589 | 130 | 243 | 36 | 11 | 261 | 63 | — | — | — | — | — | — |
| 2023 | 18 | ROK MLE | FCL Marlins | — | 226 | 194 | 19 | 3 | 0 | 3 | 24 | 139 | 6 | 17 | 5 | 98 | 218 | 160 | 378 | 62 | 285 | 62 | 11 | 182 | 9 | — | — | — | — | — | — |
| 2024 | 19 | ROK MLE | FCL Marlins | — | 126 | 113 | 7 | 4 | 0 | 0 | 8 | 88 | 4 | 21 | 3 | 62 | 151 | 97 | 248 | 35 | 257 | 70 | 6 | 129 | -27 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 19 | ROK MLE | FCL Marlins | — | 126 | 113 | 7 | 4 | 0 | 0 | 8 | 88 | 4 | 21 | 3 | 62 | 151 | 97 | 248 | 35 | 257 | 70 | 6 | 129 | -27 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 570 | 494 | 57 | 14 | 1 | 8 | 56 | 306 | 18 | 56 | 9 | 115 | 231 | 196 | 427 | 81 | 269 | 54 | 10 | 200 | 22 | -53 | +8 | +0 | -3 | +12 | -3.7 | |
| / 162G | — | MLE | — | 650 | 563 | 65 | 16 | 1 | 9 | 64 | 349 | 21 | 64 | 10 | 115 | 231 | 195 | 427 | 80 | 271 | 54 | 10 | 200 | 22 | -60 | +9 | +0 | -4 | +14 | -4.2 | |
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.
2024 ROKFCL Marlins · 126 PAwOBA .258 → .129 (−129)K% 47.6% → 69.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 47.62% | ÷0.987 | ×1.440 | — | — | 69.48% |
| BB% (unintentional) /PA | 10.32% | ÷0.970 | ×0.620 | — | ×1.008 | 6.64% |
| HBP% /PA | 3.17% | — | ×0.720 | — | ×1.008 | 2.30% |
| Singles /BIP | 14.29% | ÷0.985 | ×0.820 | ×0.950 | ×1.008 | 11.38% |
| Doubles /BIP | 20.41% | ÷1.014 | ×0.720 | ×0.950 | ×1.008 | 13.87% |
| Triples /BIP | 0.00% | ÷1.004 | ×0.720 | ×0.950 | ×1.008 | 0.00% |
| Home runs /BIP | 2.04% | ÷0.898 | ×0.780 | — | ×1.008 | 1.79% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 97, 2B 103, 3B 101, K 97, BB 94 — 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 ×0.950.
Result: wOBA .258 → .129; ISO .119 → .048; BABIP .354 → .257. 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).
2023 ROKFCL Marlins · 226 PAwOBA .307 → .182 (−125)K% 42.5% → 61.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 42.48% | ÷0.995 | ×1.440 | — | — | 61.46% |
| BB% (unintentional) /PA | 16.37% | ÷0.958 | ×0.620 | — | ×1.022 | 10.83% |
| HBP% /PA | 2.65% | — | ×0.720 | — | ×1.022 | 1.95% |
| Singles /BIP | 26.74% | ÷0.998 | ×0.820 | ×0.990 | ×1.022 | 22.26% |
| Doubles /BIP | 6.98% | ÷1.098 | ×0.720 | ×0.990 | ×1.022 | 4.63% |
| Triples /BIP | 1.16% | ÷1.150 | ×0.720 | ×0.990 | ×1.022 | 0.74% |
| Home runs /BIP | 5.81% | ÷0.995 | ×0.780 | — | ×1.022 | 4.66% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 100, 2B 120, 3B 130, K 99, BB 92 — 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 ×0.990.
Result: wOBA .307 → .182; ISO .126 → .064; BABIP .366 → .285. 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).
2022 DSLDSL Marlins · 218 PAwOBA .415 → .261 (−153)K% 30.3% → 36.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 30.28% | ÷1.019 | ×1.220 | — | — | 36.25% |
| BB% (unintentional) /PA | 15.14% | ÷0.975 | ×0.700 | — | ×1.022 | 11.11% |
| HBP% /PA | 3.67% | — | ×0.700 | — | ×1.022 | 2.63% |
| Singles /BIP | 23.64% | ÷1.010 | ×0.680 | ×0.987 | ×1.022 | 16.06% |
| Doubles /BIP | 10.91% | ÷0.991 | ×0.600 | ×0.987 | ×1.022 | 6.66% |
| Triples /BIP | 0.91% | ÷0.900 | ×0.600 | ×0.987 | ×1.022 | 0.61% |
| Home runs /BIP | 10.00% | ÷1.016 | ×0.470 | — | ×1.022 | 4.73% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 103, 1B 102, 2B 98, 3B 80, K 104, BB 95 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.987.
Result: wOBA .415 → .261; ISO .267 → .137; BABIP .390 → .243. 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).