Danny Bautista Jr.
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 21 | AOAK | 423 | .264/.348/.381 | 5 | 10 | 69 | — | .235/.302/.328 |
| 2023 | 22 | A+OAK | 475 | .271/.318/.340 | 3 | 22 | 55 | — | .237/.275/.287 |
| 2024 | 23 | A+OAK | 388 | .265/.345/.381 | 4 | 14 | 67 | — | .226/.292/.323 |
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 | AZL Athletics | — | 186 | 156 | 34 | 8 | 3 | 1 | 23 | 51 | 4 | 9 | 5 | 218 | 333 | 327 | 660 | 109 | 311 | 27 | 12 | 302 | 27 | — | — | — | — | — | — |
| 2021 | 20 | A | Stockton Ports | — | 291 | 245 | 51 | 15 | 3 | 2 | 33 | 68 | 5 | 6 | 2 | 208 | 313 | 318 | 632 | 110 | 277 | 23 | 11 | 285 | 46 | — | — | — | — | — | — |
| 2022 | 21 | A | Stockton Ports | — | 423 | 367 | 97 | 24 | 2 | 5 | 34 | 72 | 13 | 10 | 8 | 264 | 348 | 381 | 729 | 117 | 315 | 17 | 8 | 325 | 69 | — | — | — | — | — | — |
| 2023 | 22 | A+ | Lansing Lugnuts | — | 475 | 435 | 118 | 17 | 2 | 3 | 22 | 48 | 8 | 22 | 11 | 271 | 318 | 340 | 658 | 69 | 294 | 10 | 5 | 293 | 55 | — | — | — | — | — | — |
| 2024 | 23 | A+ | Lansing Lugnuts | — | 388 | 339 | 90 | 17 | 5 | 4 | 33 | 51 | 9 | 14 | 5 | 265 | 345 | 381 | 725 | 115 | 299 | 13 | 9 | 324 | 67 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2018 | 17 | ROK MLE | AZL Athletics | — | 186 | 164 | 25 | 5 | 2 | 1 | 15 | 73 | 4 | 9 | 5 | 152 | 240 | 226 | 466 | 73 | 251 | 39 | 8 | 208 | 27 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | Stockton Ports | — | 291 | 257 | 47 | 13 | 3 | 1 | 22 | 91 | 5 | 6 | 2 | 183 | 261 | 268 | 529 | 86 | 263 | 31 | 8 | 236 | 46 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | Stockton Ports | — | 423 | 378 | 89 | 19 | 2 | 4 | 23 | 93 | 13 | 10 | 8 | 235 | 302 | 328 | 630 | 93 | 288 | 22 | 5 | 270 | 69 | — | — | — | — | — | — |
| 2023 | 22 | A+ MLE | Lansing Lugnuts | — | 475 | 443 | 105 | 14 | 1 | 2 | 15 | 65 | 8 | 22 | 11 | 237 | 275 | 287 | 561 | 50 | 264 | 14 | 3 | 249 | 55 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Lansing Lugnuts | — | 388 | 350 | 79 | 14 | 4 | 4 | 24 | 66 | 9 | 14 | 5 | 226 | 292 | 323 | 615 | 97 | 258 | 17 | 6 | 267 | 67 | — | — | — | — | — | — |
| 2018 | 17 | ROK MLE | AZL Athletics | — | 186 | 164 | 25 | 5 | 2 | 1 | 15 | 73 | 4 | 9 | 5 | 152 | 240 | 226 | 466 | 73 | 261 | 39 | 8 | 208 | 27 | — | — | — | — | — | — |
| 2018 | 17 | ROK RAW | AZL Athletics | — | 186 | 156 | 34 | 8 | 3 | 1 | 23 | 51 | 4 | 9 | 5 | 218 | 333 | 327 | 660 | 109 | 311 | 27 | 12 | 302 | 27 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | Stockton Ports | — | 291 | 257 | 47 | 13 | 3 | 1 | 22 | 91 | 5 | 6 | 2 | 183 | 261 | 268 | 529 | 86 | 275 | 31 | 8 | 236 | 46 | — | — | — | — | — | — |
| 2021 | 20 | A RAW | Stockton Ports | — | 291 | 245 | 51 | 15 | 3 | 2 | 33 | 68 | 5 | 6 | 2 | 208 | 313 | 318 | 632 | 110 | 277 | 23 | 11 | 285 | 46 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | Stockton Ports | — | 423 | 378 | 89 | 19 | 2 | 4 | 23 | 93 | 13 | 10 | 8 | 235 | 302 | 328 | 630 | 93 | 300 | 22 | 5 | 270 | 69 | — | — | — | — | — | — |
| 2022 | 21 | A RAW | Stockton Ports | — | 423 | 367 | 97 | 24 | 2 | 5 | 34 | 72 | 13 | 10 | 8 | 264 | 348 | 381 | 729 | 117 | 315 | 17 | 8 | 325 | 69 | — | — | — | — | — | — |
| 2023 | 22 | A+ MLE | Lansing Lugnuts | — | 475 | 443 | 105 | 14 | 1 | 2 | 15 | 65 | 8 | 22 | 11 | 237 | 275 | 287 | 561 | 50 | 269 | 14 | 3 | 249 | 55 | — | — | — | — | — | — |
| 2023 | 22 | A+ RAW | Lansing Lugnuts | — | 475 | 435 | 118 | 17 | 2 | 3 | 22 | 48 | 8 | 22 | 11 | 271 | 318 | 340 | 658 | 69 | 294 | 10 | 5 | 293 | 55 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Lansing Lugnuts | — | 388 | 350 | 79 | 14 | 4 | 4 | 24 | 66 | 9 | 14 | 5 | 226 | 292 | 323 | 615 | 97 | 264 | 17 | 6 | 267 | 67 | — | — | — | — | — | — |
| 2024 | 23 | A+ RAW | Lansing Lugnuts | — | 388 | 339 | 90 | 17 | 5 | 4 | 33 | 51 | 9 | 14 | 5 | 265 | 345 | 381 | 725 | 115 | 299 | 13 | 9 | 324 | 67 | — | — | — | — | — | — |
| 2018 | 17 | ROK MLE | AZL Athletics | — | 186 | 165 | 25 | 5 | 2 | 1 | 15 | 73 | 4 | 9 | 5 | 152 | 240 | 224 | 465 | 73 | 251 | 39 | 8 | 208 | 27 | — | — | — | — | — | — |
| 2021 | 20 | A MLE | Stockton Ports | — | 291 | 262 | 47 | 13 | 3 | 1 | 22 | 91 | 5 | 6 | 2 | 179 | 261 | 263 | 524 | 84 | 263 | 31 | 8 | 236 | 46 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | Stockton Ports | — | 423 | 384 | 89 | 19 | 2 | 4 | 23 | 93 | 13 | 10 | 8 | 232 | 302 | 323 | 625 | 91 | 288 | 22 | 5 | 270 | 69 | — | — | — | — | — | — |
| 2023 | 22 | A+ MLE | Lansing Lugnuts | — | 475 | 449 | 105 | 14 | 1 | 2 | 15 | 65 | 8 | 22 | 11 | 234 | 275 | 283 | 558 | 49 | 264 | 14 | 3 | 249 | 55 | — | — | — | — | — | — |
| 2024 | 23 | A+ MLE | Lansing Lugnuts | — | 388 | 352 | 79 | 14 | 4 | 4 | 24 | 66 | 9 | 14 | 5 | 224 | 292 | 321 | 613 | 97 | 258 | 17 | 6 | 267 | 67 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 23 | A+ MLE | Lansing Lugnuts | — | 388 | 352 | 79 | 14 | 4 | 4 | 24 | 66 | 9 | 14 | 5 | 224 | 292 | 321 | 613 | 97 | 258 | 17 | 6 | 267 | 67 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1763 | 1592 | 345 | 65 | 12 | 12 | 99 | 388 | 39 | 61 | 31 | 217 | 279 | 295 | 574 | 79 | 275 | 22 | 6 | 252 | 56 | -92 | -0 | +0 | -11 | +38 | -6.5 | |
| / 162G | — | MLE | — | 650 | 587 | 126 | 24 | 4 | 4 | 37 | 143 | 14 | 22 | 11 | 215 | 277 | 290 | 567 | 75 | 274 | 22 | 6 | 252 | 56 | -34 | +0 | +0 | -4 | +14 | -2.4 | |
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 A+Lansing Lugnuts · 388 PAwOBA .319 → .267 (−52)K% 13.1% → 17.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.14% | ÷0.974 | ×1.270 | — | — | 17.13% |
| BB% (unintentional) /PA | 8.51% | ÷0.974 | ×0.710 | — | ×0.988 | 6.13% |
| HBP% /PA | 2.32% | — | ×0.790 | — | ×0.988 | 1.81% |
| Singles /BIP | 22.22% | ÷1.036 | ×0.920 | ×1.013 | ×0.988 | 19.74% |
| Doubles /BIP | 5.90% | ÷0.992 | ×0.810 | ×1.013 | ×0.988 | 4.82% |
| Triples /BIP | 1.74% | ÷1.150 | ×0.850 | ×1.013 | ×0.988 | 1.28% |
| Home runs /BIP | 1.39% | ÷0.867 | ×0.800 | — | ×0.988 | 1.27% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 73, 1B 107, 2B 98, 3B 130, K 95, BB 95 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .319 → .267; ISO .115 → .096; BABIP .299 → .258. 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 A+Lansing Lugnuts · 475 PAwOBA .290 → .249 (−41)K% 10.1% → 13.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 10.11% | ÷0.938 | ×1.270 | — | — | 13.69% |
| BB% (unintentional) /PA | 4.63% | ÷1.036 | ×0.710 | — | ×0.998 | 3.17% |
| HBP% /PA | 1.68% | — | ×0.790 | — | ×0.998 | 1.33% |
| Singles /BIP | 24.81% | ÷0.991 | ×0.920 | ×0.984 | ×0.998 | 22.63% |
| Doubles /BIP | 4.39% | ÷0.946 | ×0.810 | ×0.984 | ×0.998 | 3.70% |
| Triples /BIP | 0.52% | ÷1.150 | ×0.850 | ×0.984 | ×0.998 | 0.38% |
| Home runs /BIP | 0.78% | ÷1.209 | ×0.800 | — | ×0.998 | 0.51% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 142, 1B 98, 2B 89, 3B 130, K 88, BB 107 — 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 ×0.984.
Result: wOBA .290 → .249; ISO .069 → .053; BABIP .294 → .264. 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 AStockton Ports · 423 PAwOBA .318 → .270 (−48)K% 17.0% → 22.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.02% | ÷1.049 | ×1.360 | — | — | 22.06% |
| BB% (unintentional) /PA | 8.04% | ÷1.029 | ×0.690 | — | — | 5.39% |
| HBP% /PA | 3.07% | — | ×0.780 | — | — | 2.40% |
| Singles /BIP | 22.37% | ÷0.967 | ×0.920 | ×1.019 | — | 21.69% |
| Doubles /BIP | 8.14% | ÷1.092 | ×0.830 | ×1.019 | — | 6.30% |
| Triples /BIP | 0.68% | ÷1.030 | ×0.910 | ×1.019 | — | 0.61% |
| Home runs /BIP | 1.69% | ÷1.003 | ×0.800 | — | — | 1.35% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 93, 2B 118, 3B 106, K 110, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.
Result: wOBA .318 → .270; ISO .117 → .094; BABIP .315 → .288. 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 AStockton Ports · 291 PAwOBA .279 → .236 (−43)K% 23.4% → 31.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.37% | ÷1.020 | ×1.360 | — | — | 31.14% |
| BB% (unintentional) /PA | 11.00% | ÷1.028 | ×0.690 | — | ×1.015 | 7.49% |
| HBP% /PA | 1.72% | — | ×0.780 | — | ×1.015 | 1.36% |
| Singles /BIP | 17.51% | ÷0.971 | ×0.920 | ×1.021 | ×1.015 | 17.19% |
| Doubles /BIP | 8.47% | ÷0.981 | ×0.830 | ×1.021 | ×1.015 | 7.43% |
| Triples /BIP | 1.69% | ÷0.902 | ×0.910 | ×1.021 | ×1.015 | 1.77% |
| Home runs /BIP | 1.13% | ÷1.165 | ×0.800 | — | ×1.015 | 0.79% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 133, 1B 94, 2B 96, 3B 80, K 104, BB 106 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.021.
Result: wOBA .279 → .236; ISO .110 → .095; BABIP .277 → .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).
2018 ROKAZL Athletics · 186 PAwOBA .298 → .208 (−90)K% 27.4% → 39.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.42% | ÷1.000 | ×1.440 | — | — | 39.48% |
| BB% (unintentional) /PA | 12.37% | ÷1.000 | ×0.620 | — | ×1.022 | 7.84% |
| HBP% /PA | 2.15% | — | ×0.720 | — | ×1.022 | 1.58% |
| Singles /BIP | 20.95% | ÷1.000 | ×0.820 | ×1.008 | ×1.022 | 17.71% |
| Doubles /BIP | 7.62% | ÷1.000 | ×0.720 | ×1.008 | ×1.022 | 5.65% |
| Triples /BIP | 2.86% | ÷1.000 | ×0.720 | ×1.008 | ×1.022 | 2.12% |
| Home runs /BIP | 0.95% | ÷1.000 | ×0.780 | — | ×1.022 | 0.76% |
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 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 ×1.008.
Result: wOBA .298 → .208; ISO .109 → .074; BABIP .311 → .251. 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).