Jose Vizcaino Jr.
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 22 | A+SF | 333 | .261/.339/.403 | 7 | 3 | 70 | — | .221/.285/.340 |
| 2017 | 23 | A+/A2 orgs | 449 | .251/.310/.346 | 5 | 11 | 41 | — | .202/.249/.284 |
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 | 22 | A+ | San Jose Giants | — | 333 | 295 | 77 | 17 | 2 | 7 | 29 | 69 | 6 | 3 | 5 | 261 | 339 | 403 | 743 | 142 | 315 | 21 | 9 | 332 | 70 | — | — | — | — | — | — |
| 2017 | 23 | A+ | San Jose Giants | — | 111 | 98 | 21 | 3 | 0 | 2 | 11 | 30 | 1 | 1 | 0 | 214 | 300 | 306 | 606 | 92 | 288 | 27 | 10 | 278 | 35 | — | — | — | — | — | — |
| 2017 | 23 | A | Augusta GreenJackets | — | 338 | 309 | 81 | 17 | 2 | 3 | 18 | 87 | 5 | 10 | 3 | 262 | 313 | 359 | 672 | 97 | 348 | 26 | 5 | 299 | 43 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 22 | A+ MLE | San Jose Giants | — | 333 | 303 | 67 | 14 | 2 | 6 | 21 | 93 | 6 | 3 | 5 | 221 | 285 | 340 | 625 | 119 | 287 | 28 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2017 | 23 | A+ MLE | San Jose Giants | — | 111 | 101 | 18 | 2 | 0 | 2 | 8 | 40 | 1 | 1 | 0 | 178 | 245 | 257 | 503 | 79 | 263 | 36 | 7 | 220 | 35 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | Augusta GreenJackets | — | 338 | 315 | 66 | 13 | 2 | 3 | 12 | 122 | 5 | 10 | 3 | 210 | 250 | 292 | 542 | 83 | 310 | 36 | 4 | 232 | 43 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | San Jose Giants | — | 333 | 303 | 67 | 14 | 2 | 6 | 21 | 93 | 6 | 3 | 5 | 221 | 285 | 340 | 625 | 119 | 295 | 28 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2016 | 22 | A+ RAW | San Jose Giants | — | 333 | 295 | 77 | 17 | 2 | 7 | 29 | 69 | 6 | 3 | 5 | 261 | 339 | 403 | 743 | 142 | 315 | 21 | 9 | 332 | 70 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | 2 teams | — | 449 | 416 | 83 | 15 | 2 | 4 | 20 | 162 | 6 | 11 | 3 | 200 | 247 | 274 | 521 | 75 | 310 | 36 | 4 | 229 | 41 | — | — | — | — | — | — |
| 2017 | 23 | A RAW | 2 teams | — | 449 | 407 | 102 | 20 | 2 | 5 | 29 | 117 | 6 | 11 | 3 | 251 | 310 | 346 | 656 | 96 | 334 | 26 | 6 | 294 | 41 | — | — | — | — | — | — |
| 2016 | 22 | A+ MLE | San Jose Giants | — | 333 | 303 | 67 | 14 | 2 | 6 | 21 | 93 | 6 | 3 | 5 | 221 | 285 | 340 | 625 | 119 | 287 | 28 | 6 | 271 | 70 | — | — | — | — | — | — |
| 2017 | 23 | A MLE | 2 teams | — | 449 | 420 | 83 | 15 | 2 | 4 | 20 | 162 | 6 | 11 | 3 | 198 | 247 | 271 | 518 | 74 | 298 | 36 | 4 | 229 | 41 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 782 | 719 | 150 | 29 | 4 | 10 | 41 | 255 | 12 | 14 | 8 | 209 | 263 | 302 | 565 | 93 | 303 | 33 | 5 | 247 | 53 | -44 | -0 | +0 | +3 | +17 | -2.5 | |
| / 162G | — | MLE | — | 650 | 598 | 124 | 24 | 3 | 8 | 34 | 212 | 10 | 12 | 7 | 207 | 262 | 298 | 560 | 90 | 301 | 33 | 5 | 247 | 53 | -36 | -0 | +0 | +2 | +14 | -2.1 | |
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.
2017 AAugusta GreenJackets · 338 PAwOBA .295 → .232 (−63)K% 25.7% → 36.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.74% | ÷0.954 | ×1.340 | — | — | 36.16% |
| BB% (unintentional) /PA | 5.33% | ÷0.997 | ×0.660 | — | ×0.990 | 3.49% |
| HBP% /PA | 1.48% | — | ×0.770 | — | ×0.990 | 1.13% |
| Singles /BIP | 26.58% | ÷1.010 | ×0.920 | ×1.009 | ×0.990 | 24.19% |
| Doubles /BIP | 7.66% | ÷0.989 | ×0.820 | ×1.009 | ×0.990 | 6.34% |
| Triples /BIP | 0.90% | ÷1.016 | ×0.940 | ×1.009 | ×0.990 | 0.83% |
| Home runs /BIP | 1.35% | ÷0.818 | ×0.820 | — | ×0.990 | 1.34% |
Factors used: league row SAL. Park (home-season share, regressed): HR 64, 1B 102, 2B 98, 3B 103, K 91, BB 99 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.009.
Result: wOBA .295 → .232; ISO .097 → .078; BABIP .348 → .310. 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 A+San Jose Giants · 111 PAwOBA .271 → .220 (−51)K% 27.0% → 35.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.03% | ÷1.018 | ×1.340 | — | — | 35.57% |
| BB% (unintentional) /PA | 9.91% | ÷0.968 | ×0.710 | — | ×0.998 | 7.25% |
| HBP% /PA | 0.90% | — | ×0.790 | — | ×0.998 | 0.71% |
| Singles /BIP | 23.53% | ÷0.990 | ×0.910 | ×1.017 | ×0.998 | 21.95% |
| Doubles /BIP | 4.41% | ÷1.008 | ×0.820 | ×1.017 | ×0.998 | 3.64% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.760 | ×1.017 | ×0.998 | 0.00% |
| Home runs /BIP | 2.94% | ÷1.010 | ×0.920 | — | ×0.998 | 2.67% |
Factors used: league row CAL. Park (home-season share, regressed): HR 102, 1B 98, 2B 102, 3B 80, K 104, BB 94 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.
Result: wOBA .271 → .220; ISO .092 → .075; BABIP .288 → .263. 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 A+San Jose Giants · 333 PAwOBA .326 → .271 (−54)K% 20.7% → 27.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.72% | ÷0.998 | ×1.340 | — | — | 27.83% |
| BB% (unintentional) /PA | 8.71% | ÷0.992 | ×0.710 | — | ×1.012 | 6.30% |
| HBP% /PA | 1.80% | — | ×0.790 | — | ×1.012 | 1.44% |
| Singles /BIP | 22.57% | ÷1.008 | ×0.910 | ×1.013 | ×1.012 | 20.89% |
| Doubles /BIP | 7.52% | ÷0.951 | ×0.820 | ×1.013 | ×1.012 | 6.65% |
| Triples /BIP | 0.88% | ÷0.900 | ×0.760 | ×1.013 | ×1.012 | 0.77% |
| Home runs /BIP | 3.10% | ÷1.045 | ×0.920 | — | ×1.012 | 2.76% |
Factors used: league row CAL. Park (home-season share, regressed): HR 109, 1B 102, 2B 90, 3B 80, K 100, BB 98 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .326 → .271; ISO .142 → .120; BABIP .315 → .287. 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).