Jose Quero
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 18 | A/ROK2 orgs | 208 | .232/.291/.358 | 6 | 0 | 24 | — | .164/.204/.246 |
| 2018 | 19 | A/ROK2 orgs | 63 | .075/.222/.094 | 0 | 0 | -28 | — | .070/.175/.087 |
| 2019 | 20 | ROKFCL Tigers Ea… | 125 | .280/.374/.495 | 4 | 2 | 65 | — | .200/.252/.348 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK | DSL Tigers | — | 224 | 179 | 60 | 6 | 2 | 2 | 36 | 29 | 6 | 1 | 1 | 335 | 462 | 425 | 886 | 89 | 389 | 13 | 16 | 401 | 73 | — | — | — | — | — | — |
| 2017 | 18 | A | West Michigan Whitecaps | — | 35 | 34 | 4 | 0 | 0 | 0 | 1 | 11 | 0 | 0 | 0 | 118 | 143 | 118 | 261 | 174 | 31 | 3 | 123 | -54 | — | — | — | — | — | — | |
| 2017 | 18 | ROK | GCL Tigers West | — | 173 | 156 | 40 | 6 | 0 | 6 | 13 | 32 | 2 | 0 | 1 | 256 | 322 | 410 | 732 | 154 | 283 | 18 | 8 | 324 | 40 | — | — | — | — | — | — |
| 2018 | 19 | A | West Michigan Whitecaps | — | 39 | 33 | 1 | 0 | 0 | 0 | 5 | 9 | 1 | 0 | 0 | 30 | 179 | 30 | 210 | 42 | 23 | 13 | 131 | -47 | — | — | — | — | — | — | |
| 2018 | 19 | ROK | GCL Tigers West | — | 24 | 20 | 3 | 1 | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 150 | 292 | 200 | 492 | 50 | 167 | 8 | 17 | 245 | 2 | — | — | — | — | — | — |
| 2019 | 20 | ROK | FCL Tigers East | — | 125 | 107 | 30 | 9 | 1 | 4 | 16 | 18 | 0 | 2 | 0 | 280 | 374 | 495 | 869 | 215 | 299 | 14 | 13 | 377 | 65 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK MLE | DSL Tigers | — | 224 | 190 | 43 | 4 | 1 | 1 | 25 | 35 | 6 | 1 | 1 | 226 | 335 | 274 | 609 | 47 | 262 | 16 | 11 | 276 | 73 | — | — | — | — | — | — |
| 2017 | 18 | A MLE | West Michigan Whitecaps | — | 35 | 34 | 3 | 0 | 0 | 0 | 1 | 15 | 0 | 0 | 0 | 88 | 114 | 88 | 203 | 154 | 43 | 3 | 88 | -54 | — | — | — | — | — | — | |
| 2017 | 18 | ROK MLE | GCL Tigers West | — | 173 | 162 | 29 | 4 | 0 | 4 | 7 | 46 | 2 | 0 | 1 | 179 | 222 | 278 | 500 | 99 | 215 | 27 | 4 | 227 | 40 | — | — | — | — | — | — |
| 2018 | 19 | A MLE | West Michigan Whitecaps | — | 39 | 34 | 1 | 0 | 0 | 0 | 4 | 13 | 1 | 0 | 0 | 29 | 154 | 29 | 183 | 39 | 33 | 10 | 98 | -47 | — | — | — | — | — | — | |
| 2018 | 19 | ROK MLE | GCL Tigers West | — | 24 | 22 | 3 | 1 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 136 | 208 | 182 | 390 | 45 | 130 | 12 | 8 | 171 | 2 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | FCL Tigers East | — | 125 | 115 | 23 | 6 | 1 | 3 | 8 | 26 | 0 | 2 | 0 | 200 | 252 | 348 | 600 | 148 | 216 | 21 | 6 | 264 | 65 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Tigers | — | 224 | 190 | 43 | 4 | 1 | 1 | 25 | 35 | 6 | 1 | 1 | 226 | 335 | 274 | 609 | 47 | 271 | 16 | 11 | 276 | 73 | — | — | — | — | — | — |
| 2016 | 17 | ROK RAW | DSL Tigers | — | 224 | 179 | 60 | 6 | 2 | 2 | 36 | 29 | 6 | 1 | 1 | 335 | 462 | 425 | 886 | 89 | 389 | 13 | 16 | 401 | 73 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | 2 teams | — | 208 | 196 | 32 | 4 | 0 | 4 | 8 | 61 | 2 | 0 | 1 | 163 | 204 | 245 | 449 | 82 | 211 | 29 | 4 | 204 | 24 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | 2 teams | — | 208 | 190 | 44 | 6 | 0 | 6 | 14 | 43 | 2 | 0 | 1 | 232 | 291 | 358 | 649 | 126 | 266 | 21 | 7 | 290 | 24 | — | — | — | — | — | — |
| 2018 | 19 | A MLE | 2 teams | — | 63 | 56 | 4 | 1 | 0 | 0 | 6 | 15 | 1 | 0 | 0 | 71 | 175 | 89 | 264 | 18 | 98 | 24 | 10 | 126 | -29 | — | — | — | — | — | — |
| 2018 | 19 | A RAW | 2 teams | — | 63 | 53 | 4 | 1 | 0 | 0 | 9 | 11 | 1 | 0 | 0 | 75 | 222 | 94 | 317 | 19 | 95 | 17 | 14 | 175 | -29 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | FCL Tigers East | — | 125 | 115 | 23 | 6 | 1 | 3 | 8 | 26 | 0 | 2 | 0 | 200 | 252 | 348 | 600 | 148 | 227 | 21 | 6 | 264 | 65 | — | — | — | — | — | — |
| 2019 | 20 | ROK RAW | FCL Tigers East | — | 125 | 107 | 30 | 9 | 1 | 4 | 16 | 18 | 0 | 2 | 0 | 280 | 374 | 495 | 869 | 215 | 299 | 14 | 13 | 377 | 65 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Tigers | — | 224 | 191 | 43 | 4 | 1 | 1 | 25 | 35 | 6 | 1 | 1 | 225 | 335 | 272 | 607 | 47 | 262 | 16 | 11 | 276 | 73 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | 2 teams | — | 208 | 196 | 32 | 4 | 0 | 4 | 8 | 61 | 2 | 0 | 1 | 163 | 204 | 245 | 449 | 82 | 205 | 29 | 4 | 204 | 24 | — | — | — | — | — | — |
| 2018 | 19 | A MLE | 2 teams | — | 63 | 56 | 4 | 1 | 0 | 0 | 6 | 15 | 1 | 0 | 0 | 71 | 175 | 89 | 264 | 18 | 74 | 24 | 10 | 126 | -29 | — | — | — | — | — | — |
| 2019 | 20 | ROK MLE | FCL Tigers East | — | 125 | 116 | 23 | 6 | 1 | 3 | 8 | 26 | 0 | 2 | 0 | 198 | 252 | 345 | 597 | 147 | 216 | 21 | 6 | 264 | 65 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 620 | 557 | 102 | 15 | 2 | 8 | 47 | 137 | 9 | 3 | 2 | 183 | 258 | 260 | 518 | 77 | 225 | 22 | 8 | 234 | 45 | -41 | -0 | +0 | -11 | +13 | -4.0 | |
| / 162G | — | MLE | — | 650 | 584 | 107 | 16 | 2 | 8 | 49 | 144 | 9 | 3 | 2 | 183 | 257 | 259 | 515 | 75 | 227 | 22 | 8 | 234 | 45 | -43 | -0 | +0 | -12 | +14 | -4.1 | |
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 ROKFCL Tigers East · 125 PAwOBA .365 → .264 (−101)K% 14.4% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.40% | ÷1.000 | ×1.440 | — | — | 20.74% |
| BB% (unintentional) /PA | 10.40% | ÷1.000 | ×0.620 | — | ×0.985 | 6.35% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.985 | 0.00% |
| Singles /BIP | 17.98% | ÷1.000 | ×0.820 | ×0.950 | ×0.985 | 13.79% |
| Doubles /BIP | 10.11% | ÷1.000 | ×0.720 | ×0.950 | ×0.985 | 6.81% |
| Triples /BIP | 1.12% | ÷1.000 | ×0.720 | ×0.950 | ×0.985 | 0.76% |
| Home runs /BIP | 4.49% | ÷1.000 | ×0.780 | — | ×0.985 | 3.45% |
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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .365 → .264; ISO .215 → .159; BABIP .299 → .216. 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 AWest Michigan Whitecaps · 39 PAwOBA .130 → .098 (−32)K% 23.1% → 32.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.08% | ÷0.971 | ×1.360 | — | — | 32.32% |
| BB% (unintentional) /PA | 12.82% | ÷0.988 | ×0.690 | — | ×1.030 | 9.22% |
| HBP% /PA | 2.56% | — | ×0.780 | — | ×1.030 | 2.06% |
| Singles /BIP | 4.17% | ÷1.017 | ×0.920 | — | ×1.030 | 3.88% |
| Doubles /BIP | 0.00% | ÷1.024 | ×0.830 | — | ×1.030 | 0.00% |
| Triples /BIP | 0.00% | ÷1.045 | ×0.910 | — | ×1.030 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.942 | ×0.800 | — | ×1.030 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 103, 2B 105, 3B 109, K 94, BB 98 — applied at half strength. Age: age 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average).
Result: wOBA .130 → .098; ISO .000 → .000; BABIP .042 → .039. 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 ROKGCL Tigers West · 24 PAwOBA .240 → .171 (−69)K% 8.3% → 12.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 8.33% | ÷1.000 | ×1.440 | — | — | 12.00% |
| BB% (unintentional) /PA | 16.67% | ÷1.000 | ×0.620 | — | ×0.995 | 10.28% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 11.11% | ÷1.000 | ×0.820 | — | ×0.995 | 9.07% |
| Doubles /BIP | 5.56% | ÷1.000 | ×0.720 | — | ×0.995 | 3.98% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×0.995 | 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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average).
Result: wOBA .240 → .171; ISO .050 → .037; BABIP .167 → .130. 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 ROKGCL Tigers West · 173 PAwOBA .317 → .227 (−90)K% 18.5% → 26.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.50% | ÷1.000 | ×1.440 | — | — | 26.64% |
| BB% (unintentional) /PA | 6.94% | ÷1.000 | ×0.620 | — | ×1.008 | 4.33% |
| HBP% /PA | 1.16% | — | ×0.720 | — | ×1.008 | 0.84% |
| Singles /BIP | 22.58% | ÷1.000 | ×0.820 | ×0.950 | ×1.008 | 17.72% |
| Doubles /BIP | 4.84% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 3.33% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×0.950 | ×1.008 | 0.00% |
| Home runs /BIP | 4.84% | ÷1.000 | ×0.780 | — | ×1.008 | 3.80% |
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 ×0.950.
Result: wOBA .317 → .227; ISO .154 → .111; BABIP .283 → .215. 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 AWest Michigan Whitecaps · 35 PAwOBA .120 → .088 (−32)K% 31.4% → 43.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.43% | ÷0.978 | ×1.360 | — | — | 43.69% |
| BB% (unintentional) /PA | 2.86% | ÷0.992 | ×0.690 | — | ×1.045 | 2.08% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.045 | 0.00% |
| Singles /BIP | 17.39% | ÷1.084 | ×0.920 | — | ×1.045 | 15.43% |
| Doubles /BIP | 0.00% | ÷0.958 | ×0.830 | — | ×1.045 | 0.00% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.910 | — | ×1.045 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.849 | ×0.800 | — | ×1.045 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 70, 1B 117, 2B 92, 3B 130, K 96, BB 98 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).
Result: wOBA .120 → .088; ISO .000 → .000; BABIP .174 → .154. 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 Tigers · 224 PAwOBA .392 → .276 (−116)K% 12.9% → 15.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.95% | ÷1.000 | ×1.220 | — | — | 15.79% |
| BB% (unintentional) /PA | 15.62% | ÷1.000 | ×0.700 | — | ×1.008 | 11.02% |
| HBP% /PA | 2.68% | — | ×0.700 | — | ×1.008 | 1.89% |
| Singles /BIP | 33.33% | ÷1.000 | ×0.680 | ×1.007 | ×1.008 | 22.99% |
| Doubles /BIP | 4.00% | ÷1.000 | ×0.600 | ×1.007 | ×1.008 | 2.43% |
| Triples /BIP | 1.33% | ÷1.000 | ×0.600 | ×1.007 | ×1.008 | 0.81% |
| Home runs /BIP | 1.33% | ÷1.000 | ×0.470 | — | ×1.008 | 0.63% |
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 ×1.007.
Result: wOBA .392 → .276; ISO .089 → .053; BABIP .389 → .262. 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).