Juan Batista
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 18 | ROKDSL D-backs 2 | 272 | .270/.391/.394 | 1 | 26 | 41 | — | .164/.266/.227 |
| 2021 | 20 | ROKARI | 64 | .304/.371/.464 | 2 | 3 | 51 | — | .207/.258/.293 |
| 2022 | 21 | A/ROK2 orgs | 155 | .161/.248/.263 | 1 | 9 | -18 | — | .092/.163/.142 |
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) | |||||||||||||||||||||||||||||||
| 2018 | 17 | ROK | DSL D-backs 2 | — | 260 | 224 | 45 | 9 | 3 | 1 | 23 | 61 | 6 | 10 | 8 | 201 | 292 | 281 | 574 | 80 | 270 | 23 | 9 | 261 | 4 | — | — | — | — | — | — |
| 2019 | 18 | ROK | DSL D-backs 2 | — | 272 | 226 | 61 | 9 | 8 | 1 | 42 | 49 | 3 | 26 | 12 | 270 | 391 | 394 | 785 | 124 | 339 | 18 | 15 | 357 | 41 | — | — | — | — | — | — |
| 2021 | 20 | ROK | ACL D-backs | — | 64 | 56 | 17 | 3 | 0 | 2 | 6 | 19 | 0 | 3 | 3 | 304 | 371 | 464 | 835 | 161 | 417 | 30 | 9 | 360 | 51 | — | — | — | — | — | — |
| 2022 | 21 | A | Visalia Rawhide | — | 99 | 89 | 16 | 3 | 2 | 1 | 6 | 49 | 3 | 7 | 1 | 180 | 255 | 292 | 547 | 112 | 385 | 49 | 6 | 249 | -12 | — | — | — | — | — | — |
| 2022 | 21 | ROK | ACL D-backs Red | — | 56 | 48 | 6 | 2 | 1 | 0 | 6 | 23 | 1 | 2 | 0 | 125 | 236 | 208 | 445 | 83 | 231 | 41 | 11 | 211 | -29 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 17 | ROK MLE | DSL D-backs 2 | — | 260 | 231 | 31 | 6 | 2 | 0 | 16 | 74 | 6 | 10 | 8 | 134 | 209 | 177 | 387 | 43 | 182 | 28 | 6 | 174 | 4 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | DSL D-backs 2 | — | 272 | 238 | 39 | 5 | 5 | 0 | 30 | 60 | 3 | 26 | 12 | 164 | 266 | 227 | 493 | 63 | 213 | 22 | 11 | 229 | 41 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | ACL D-backs | — | 64 | 58 | 12 | 2 | 0 | 1 | 4 | 28 | 0 | 3 | 3 | 207 | 258 | 293 | 551 | 86 | 327 | 44 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | Visalia Rawhide | — | 99 | 91 | 9 | 2 | 1 | 0 | 4 | 67 | 3 | 7 | 1 | 99 | 163 | 143 | 306 | 44 | 354 | 68 | 4 | 151 | -12 | — | — | — | — | — | — |
| 2022 | 21 | ROK MLE | ACL D-backs Red | — | 56 | 50 | 4 | 1 | 1 | 0 | 4 | 33 | 1 | 2 | 0 | 80 | 164 | 140 | 304 | 60 | 175 | 59 | 7 | 125 | -29 | — | — | — | — | — | — |
| 2018 | 17 | ROK MLE | DSL D-backs 2 | — | 260 | 231 | 31 | 6 | 2 | 0 | 16 | 74 | 6 | 10 | 8 | 134 | 209 | 177 | 387 | 43 | 196 | 28 | 6 | 174 | 4 | — | — | — | — | — | — |
| 2018 | 17 | ROK RAW | DSL D-backs 2 | — | 260 | 224 | 45 | 9 | 3 | 1 | 23 | 61 | 6 | 10 | 8 | 201 | 292 | 281 | 574 | 80 | 270 | 23 | 9 | 261 | 4 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | DSL D-backs 2 | — | 272 | 238 | 39 | 5 | 5 | 0 | 30 | 60 | 3 | 26 | 12 | 164 | 266 | 227 | 493 | 63 | 218 | 22 | 11 | 229 | 41 | — | — | — | — | — | — |
| 2019 | 18 | ROK RAW | DSL D-backs 2 | — | 272 | 226 | 61 | 9 | 8 | 1 | 42 | 49 | 3 | 26 | 12 | 270 | 391 | 394 | 785 | 124 | 339 | 18 | 15 | 357 | 41 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | ACL D-backs | — | 64 | 58 | 12 | 2 | 0 | 1 | 4 | 28 | 0 | 3 | 3 | 207 | 258 | 293 | 551 | 86 | 367 | 44 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2021 | 20 | ROK RAW | ACL D-backs | — | 64 | 56 | 17 | 3 | 0 | 2 | 6 | 19 | 0 | 3 | 3 | 304 | 371 | 464 | 835 | 161 | 417 | 30 | 9 | 360 | 51 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | 2 teams | — | 155 | 141 | 13 | 3 | 2 | 0 | 8 | 100 | 4 | 9 | 1 | 92 | 163 | 142 | 305 | 50 | 310 | 65 | 5 | 142 | -18 | — | — | — | — | — | — |
| 2022 | 21 | A RAW | 2 teams | — | 155 | 137 | 22 | 5 | 3 | 1 | 12 | 72 | 4 | 9 | 1 | 161 | 248 | 263 | 511 | 102 | 323 | 46 | 8 | 235 | -18 | — | — | — | — | — | — |
| 2018 | 17 | ROK MLE | DSL D-backs 2 | — | 260 | 236 | 31 | 6 | 2 | 0 | 16 | 74 | 6 | 10 | 8 | 131 | 209 | 174 | 383 | 42 | 182 | 28 | 6 | 174 | 4 | — | — | — | — | — | — |
| 2019 | 18 | ROK MLE | DSL D-backs 2 | — | 272 | 237 | 39 | 5 | 5 | 0 | 30 | 60 | 3 | 26 | 12 | 165 | 266 | 228 | 494 | 63 | 213 | 22 | 11 | 229 | 41 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | ACL D-backs | — | 64 | 60 | 12 | 2 | 0 | 1 | 4 | 28 | 0 | 3 | 3 | 200 | 258 | 283 | 541 | 83 | 327 | 44 | 6 | 243 | 51 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | 2 teams | — | 155 | 142 | 13 | 3 | 2 | 0 | 8 | 100 | 4 | 9 | 1 | 92 | 163 | 141 | 304 | 49 | 289 | 65 | 5 | 142 | -18 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 751 | 668 | 95 | 16 | 9 | 1 | 58 | 262 | 13 | 48 | 24 | 142 | 225 | 198 | 422 | 55 | 230 | 35 | 8 | 193 | 17 | -74 | +0 | +0 | +3 | +16 | -5.6 | |
| / 162G | — | MLE | — | 650 | 578 | 83 | 14 | 8 | 1 | 50 | 227 | 11 | 42 | 21 | 144 | 225 | 201 | 426 | 57 | 232 | 35 | 8 | 193 | 17 | -64 | +0 | +0 | +2 | +14 | -4.9 | |
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.
2022 AVisalia Rawhide · 99 PAwOBA .242 → .151 (−91)K% 49.5% → 67.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 49.49% | ÷1.001 | ×1.360 | — | — | 67.24% |
| BB% (unintentional) /PA | 6.06% | ÷1.023 | ×0.690 | — | ×1.015 | 4.15% |
| HBP% /PA | 3.03% | — | ×0.780 | — | ×1.015 | 2.40% |
| Singles /BIP | 25.00% | ÷0.997 | ×0.920 | — | ×1.015 | 23.42% |
| Doubles /BIP | 7.50% | ÷0.942 | ×0.830 | — | ×1.015 | 6.71% |
| Triples /BIP | 5.00% | ÷1.000 | ×0.910 | — | ×1.015 | 4.62% |
| Home runs /BIP | 2.50% | ÷1.062 | ×0.800 | — | ×1.015 | 1.91% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 99, 2B 88, 3B 100, K 100, BB 105 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).
Result: wOBA .242 → .151; ISO .112 → .063; BABIP .385 → .354. 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 ROKACL D-backs Red · 56 PAwOBA .210 → .125 (−86)K% 41.1% → 59.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 41.07% | ÷0.996 | ×1.440 | — | — | 59.38% |
| BB% (unintentional) /PA | 10.71% | ÷0.969 | ×0.620 | — | ×0.985 | 6.75% |
| HBP% /PA | 1.79% | — | ×0.720 | — | ×0.985 | 1.27% |
| Singles /BIP | 12.00% | ÷0.996 | ×0.820 | — | ×0.985 | 9.73% |
| Doubles /BIP | 8.00% | ÷0.974 | ×0.720 | — | ×0.985 | 5.82% |
| Triples /BIP | 4.00% | ÷0.964 | ×0.720 | — | ×0.985 | 2.94% |
| Home runs /BIP | 0.00% | ÷1.119 | ×0.780 | — | ×0.985 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 124, 1B 99, 2B 95, 3B 93, K 99, BB 94 — 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 .210 → .125; ISO .083 → .045; BABIP .231 → .175. 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).
2021 ROKACL D-backs · 64 PAwOBA .356 → .243 (−114)K% 29.7% → 43.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.69% | ÷0.985 | ×1.440 | — | — | 43.41% |
| BB% (unintentional) /PA | 9.38% | ÷1.008 | ×0.620 | — | ×0.995 | 5.74% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 32.43% | ÷1.010 | ×0.820 | — | ×0.995 | 26.20% |
| Doubles /BIP | 8.11% | ÷0.950 | ×0.720 | — | ×0.995 | 6.11% |
| Triples /BIP | 0.00% | ÷0.941 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 5.41% | ÷0.986 | ×0.780 | — | ×0.995 | 4.25% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 102, 2B 90, 3B 88, K 97, BB 102 — 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 .356 → .243; ISO .161 → .110; BABIP .417 → .327. 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).
2019 DSLDSL D-backs 2 · 272 PAwOBA .350 → .229 (−121)K% 18.0% → 22.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.01% | ÷1.000 | ×1.220 | — | — | 21.98% |
| BB% (unintentional) /PA | 15.44% | ÷1.000 | ×0.700 | — | ×1.008 | 10.89% |
| HBP% /PA | 1.10% | — | ×0.700 | — | ×1.008 | 0.78% |
| Singles /BIP | 24.29% | ÷1.000 | ×0.680 | ×0.950 | ×1.008 | 15.81% |
| Doubles /BIP | 5.08% | ÷1.000 | ×0.600 | ×0.950 | ×1.008 | 2.92% |
| Triples /BIP | 4.52% | ÷1.000 | ×0.600 | ×0.950 | ×1.008 | 2.60% |
| Home runs /BIP | 0.56% | ÷1.000 | ×0.470 | — | ×1.008 | 0.27% |
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 ×0.950.
Result: wOBA .350 → .229; ISO .124 → .071; BABIP .339 → .213. 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 D-backs 2 · 260 PAwOBA .254 → .174 (−80)K% 23.5% → 28.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.46% | ÷1.000 | ×1.220 | — | — | 28.62% |
| BB% (unintentional) /PA | 8.46% | ÷1.000 | ×0.700 | — | ×1.022 | 6.06% |
| HBP% /PA | 2.31% | — | ×0.700 | — | ×1.022 | 1.65% |
| Singles /BIP | 19.63% | ÷1.000 | ×0.680 | ×1.003 | ×1.022 | 13.69% |
| Doubles /BIP | 5.52% | ÷1.000 | ×0.600 | ×1.003 | ×1.022 | 3.40% |
| Triples /BIP | 1.84% | ÷1.000 | ×0.600 | ×1.003 | ×1.022 | 1.13% |
| Home runs /BIP | 0.61% | ÷1.000 | ×0.470 | — | ×1.022 | 0.29% |
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 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 ×1.003.
Result: wOBA .254 → .174; ISO .080 → .048; BABIP .270 → .182. 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).