Jose Torrealba
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 18 | ROKDSL Rays 1 | 228 | .234/.344/.328 | 2 | 18 | 26 | — | .161/.254/.216 |
| 2017 | 19 | ROKDSL Rays 2 | 242 | .285/.383/.372 | 0 | 19 | 42 | — | .188/.262/.239 |
| 2018 | 20 | ROKPrinceton Rays | 63 | .155/.222/.293 | 1 | 0 | -27 | — | .102/.159/.220 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK | VSL Rays | — | 203 | 184 | 46 | 4 | 3 | 3 | 12 | 65 | 5 | 7 | 6 | 250 | 313 | 353 | 667 | 103 | 364 | 32 | 6 | 300 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK | DSL Rays 1 | — | 228 | 192 | 45 | 6 | 3 | 2 | 22 | 51 | 10 | 18 | 4 | 234 | 344 | 328 | 672 | 94 | 307 | 22 | 10 | 308 | 26 | — | — | — | — | — | — |
| 2017 | 19 | ROK | DSL Rays 2 | — | 242 | 207 | 59 | 8 | 5 | 0 | 26 | 49 | 7 | 19 | 7 | 285 | 383 | 372 | 755 | 87 | 369 | 20 | 11 | 344 | 42 | — | — | — | — | — | — |
| 2018 | 20 | ROK | Princeton Rays | — | 63 | 58 | 9 | 3 | 1 | 1 | 4 | 27 | 1 | 0 | 0 | 155 | 222 | 293 | 515 | 138 | 267 | 43 | 6 | 233 | -27 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 17 | ROK MLE | VSL Rays | — | 203 | 187 | 28 | 2 | 2 | 1 | 9 | 79 | 5 | 7 | 6 | 150 | 209 | 198 | 407 | 48 | 243 | 39 | 4 | 184 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | DSL Rays 1 | — | 228 | 199 | 32 | 4 | 2 | 1 | 15 | 62 | 10 | 18 | 4 | 161 | 254 | 216 | 471 | 55 | 211 | 27 | 7 | 206 | 26 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | DSL Rays 2 | — | 242 | 218 | 41 | 5 | 3 | 0 | 15 | 60 | 7 | 19 | 7 | 188 | 263 | 239 | 501 | 50 | 253 | 25 | 6 | 231 | 42 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | Princeton Rays | — | 63 | 59 | 6 | 2 | 1 | 1 | 3 | 38 | 1 | 0 | 0 | 102 | 159 | 220 | 379 | 119 | 206 | 60 | 5 | 128 | -27 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | VSL Rays | — | 203 | 187 | 28 | 2 | 2 | 1 | 9 | 79 | 5 | 7 | 6 | 150 | 209 | 198 | 407 | 48 | 248 | 39 | 4 | 184 | 11 | — | — | — | — | — | — |
| 2015 | 17 | ROK RAW | VSL Rays | — | 203 | 184 | 46 | 4 | 3 | 3 | 12 | 65 | 5 | 7 | 6 | 250 | 313 | 353 | 667 | 103 | 364 | 32 | 6 | 300 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | DSL Rays 1 | — | 228 | 199 | 32 | 4 | 2 | 1 | 15 | 62 | 10 | 18 | 4 | 161 | 254 | 216 | 471 | 55 | 226 | 27 | 7 | 206 | 26 | — | — | — | — | — | — |
| 2016 | 18 | ROK RAW | DSL Rays 1 | — | 228 | 192 | 45 | 6 | 3 | 2 | 22 | 51 | 10 | 18 | 4 | 234 | 344 | 328 | 672 | 94 | 307 | 22 | 10 | 308 | 26 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | DSL Rays 2 | — | 242 | 218 | 41 | 5 | 3 | 0 | 15 | 60 | 7 | 19 | 7 | 188 | 263 | 239 | 501 | 50 | 256 | 25 | 6 | 231 | 42 | — | — | — | — | — | — |
| 2017 | 19 | ROK RAW | DSL Rays 2 | — | 242 | 207 | 59 | 8 | 5 | 0 | 26 | 49 | 7 | 19 | 7 | 285 | 383 | 372 | 755 | 87 | 369 | 20 | 11 | 344 | 42 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | Princeton Rays | — | 63 | 59 | 6 | 2 | 1 | 1 | 3 | 38 | 1 | 0 | 0 | 102 | 159 | 220 | 379 | 119 | 250 | 60 | 5 | 128 | -27 | — | — | — | — | — | — |
| 2018 | 20 | ROK RAW | Princeton Rays | — | 63 | 58 | 9 | 3 | 1 | 1 | 4 | 27 | 1 | 0 | 0 | 155 | 222 | 293 | 515 | 138 | 267 | 43 | 6 | 233 | -27 | — | — | — | — | — | — |
| 2015 | 17 | ROK MLE | VSL Rays | — | 203 | 187 | 28 | 2 | 2 | 1 | 9 | 79 | 5 | 7 | 6 | 150 | 209 | 198 | 407 | 48 | 243 | 39 | 4 | 184 | 11 | — | — | — | — | — | — |
| 2016 | 18 | ROK MLE | DSL Rays 1 | — | 228 | 201 | 32 | 4 | 2 | 1 | 15 | 62 | 10 | 18 | 4 | 159 | 254 | 214 | 468 | 55 | 211 | 27 | 7 | 206 | 26 | — | — | — | — | — | — |
| 2017 | 19 | ROK MLE | DSL Rays 2 | — | 242 | 218 | 41 | 5 | 3 | 0 | 15 | 60 | 7 | 19 | 7 | 188 | 263 | 239 | 501 | 50 | 253 | 25 | 6 | 231 | 42 | — | — | — | — | — | — |
| 2018 | 20 | ROK MLE | Princeton Rays | — | 63 | 59 | 6 | 2 | 1 | 1 | 3 | 38 | 1 | 0 | 0 | 102 | 159 | 220 | 379 | 119 | 206 | 60 | 5 | 128 | -27 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 736 | 663 | 107 | 13 | 8 | 3 | 42 | 239 | 23 | 44 | 17 | 161 | 236 | 219 | 455 | 57 | 244 | 32 | 6 | 201 | 23 | -68 | +2 | +0 | -8 | +16 | -5.9 | |
| / 162G | — | MLE | — | 650 | 586 | 94 | 11 | 7 | 3 | 37 | 211 | 20 | 39 | 15 | 160 | 235 | 218 | 453 | 58 | 242 | 32 | 6 | 201 | 23 | -60 | +2 | +0 | -7 | +14 | -5.2 | |
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.
2018 ROKPrinceton Rays · 63 PAwOBA .227 → .128 (−100)K% 42.9% → 60.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 42.86% | ÷1.000 | ×1.420 | — | — | 60.86% |
| BB% (unintentional) /PA | 6.35% | ÷1.000 | ×0.640 | — | ×0.985 | 4.00% |
| HBP% /PA | 1.59% | — | ×0.740 | — | ×0.985 | 1.16% |
| Singles /BIP | 12.90% | ÷1.000 | ×0.840 | — | ×0.985 | 10.68% |
| Doubles /BIP | 9.68% | ÷1.000 | ×0.740 | — | ×0.985 | 7.05% |
| Triples /BIP | 3.23% | ÷1.000 | ×0.740 | — | ×0.985 | 2.35% |
| Home runs /BIP | 3.23% | ÷1.000 | ×0.800 | — | ×0.985 | 2.54% |
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 .227 → .128; ISO .138 → .072; BABIP .267 → .206. 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 Rays 2 · 242 PAwOBA .333 → .231 (−102)K% 20.2% → 24.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.25% | ÷1.000 | ×1.220 | — | — | 24.70% |
| BB% (unintentional) /PA | 9.09% | ÷1.000 | ×0.700 | — | ×0.985 | 6.27% |
| HBP% /PA | 2.89% | — | ×0.700 | — | ×0.985 | 1.99% |
| Singles /BIP | 29.11% | ÷1.000 | ×0.680 | ×1.050 | ×0.985 | 20.48% |
| Doubles /BIP | 5.06% | ÷1.000 | ×0.600 | ×1.050 | ×0.985 | 3.14% |
| Triples /BIP | 3.16% | ÷1.000 | ×0.600 | ×1.050 | ×0.985 | 1.96% |
| 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 ×1.050.
Result: wOBA .333 → .231; ISO .087 → .055; BABIP .369 → .253. 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 Rays 1 · 228 PAwOBA .302 → .206 (−95)K% 22.4% → 27.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.37% | ÷1.000 | ×1.220 | — | — | 27.29% |
| BB% (unintentional) /PA | 9.65% | ÷1.000 | ×0.700 | — | ×0.995 | 6.72% |
| HBP% /PA | 4.39% | — | ×0.700 | — | ×0.995 | 3.05% |
| Singles /BIP | 24.11% | ÷1.000 | ×0.680 | ×1.048 | ×0.995 | 17.09% |
| Doubles /BIP | 4.26% | ÷1.000 | ×0.600 | ×1.048 | ×0.995 | 2.66% |
| Triples /BIP | 2.13% | ÷1.000 | ×0.600 | ×1.048 | ×0.995 | 1.33% |
| Home runs /BIP | 1.42% | ÷1.000 | ×0.470 | — | ×0.995 | 0.66% |
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 ×1.048.
Result: wOBA .302 → .206; ISO .094 → .055; BABIP .307 → .211. 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 DSLVSL Rays · 203 PAwOBA .295 → .184 (−111)K% 32.0% → 39.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 32.02% | ÷1.000 | ×1.220 | — | — | 39.06% |
| BB% (unintentional) /PA | 5.91% | ÷1.000 | ×0.700 | — | ×1.008 | 4.17% |
| HBP% /PA | 2.46% | — | ×0.700 | — | ×1.008 | 1.74% |
| Singles /BIP | 30.25% | ÷1.000 | ×0.680 | ×1.005 | ×1.008 | 20.83% |
| Doubles /BIP | 3.36% | ÷1.000 | ×0.600 | ×1.005 | ×1.008 | 2.04% |
| Triples /BIP | 2.52% | ÷1.000 | ×0.600 | ×1.005 | ×1.008 | 1.53% |
| Home runs /BIP | 2.52% | ÷1.000 | ×0.470 | — | ×1.008 | 1.19% |
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 ×1.005.
Result: wOBA .295 → .184; ISO .103 → .053; BABIP .364 → .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).