Daniel Cabrera
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 23 | AA/A+DET | 514 | .237/.312/.351 | 8 | 7 | 59 | — | .211/.265/.307 |
| 2023 | 24 | AA/ADET | 269 | .239/.368/.312 | 1 | 5 | 71 | — | .229/.316/.297 |
| 2024 | 25 | AADET | 27 | .200/.231/.360 | 1 | 0 | 36 | — | .200/.231/.360 |
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) | |||||||||||||||||||||||||||||||
| 2021 | 22 | AA | Erie SeaWolves | — | 71 | 69 | 12 | 2 | 0 | 4 | 1 | 18 | 1 | 1 | 0 | 174 | 197 | 377 | 574 | 203 | 170 | 25 | 1 | 250 | 19 | — | — | — | — | — | — |
| 2021 | 22 | A+ | West Michigan Whitecaps | — | 422 | 380 | 92 | 19 | 6 | 9 | 34 | 95 | 0 | 7 | 4 | 242 | 303 | 395 | 698 | 153 | 294 | 23 | 8 | 306 | 55 | — | — | — | — | — | — |
| 2022 | 23 | AA | Erie SeaWolves | — | 400 | 355 | 73 | 14 | 3 | 5 | 40 | 80 | 2 | 6 | 0 | 206 | 290 | 304 | 594 | 99 | 249 | 20 | 10 | 272 | 45 | — | — | — | — | — | — |
| 2022 | 23 | A+ | West Michigan Whitecaps | — | 114 | 104 | 36 | 6 | 1 | 3 | 8 | 16 | 0 | 1 | 0 | 346 | 393 | 510 | 902 | 163 | 379 | 14 | 7 | 392 | 108 | — | — | — | — | — | — |
| 2023 | 24 | AA | Erie SeaWolves | — | 237 | 199 | 47 | 10 | 1 | 1 | 32 | 36 | 1 | 3 | 1 | 236 | 342 | 312 | 653 | 75 | 279 | 15 | 14 | 301 | 65 | — | — | — | — | — | — |
| 2023 | 24 | A | Lakeland Flying Tigers | — | 32 | 19 | 5 | 1 | 0 | 0 | 12 | 4 | 1 | 2 | 0 | 263 | 562 | 316 | 878 | 53 | 333 | 12 | 38 | 438 | 116 | — | — | — | — | — | — |
| 2024 | 25 | AA | Erie SeaWolves | — | 27 | 25 | 5 | 1 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 200 | 231 | 360 | 591 | 160 | 200 | 19 | 4 | 251 | 36 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 22 | AA MLE | Erie SeaWolves | — | 71 | 69 | 10 | 2 | 0 | 3 | 1 | 21 | 1 | 1 | 0 | 145 | 169 | 304 | 473 | 159 | 162 | 30 | 1 | 197 | 19 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | West Michigan Whitecaps | — | 422 | 393 | 79 | 16 | 5 | 8 | 23 | 134 | 0 | 7 | 4 | 201 | 245 | 328 | 573 | 127 | 269 | 32 | 5 | 250 | 55 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | Erie SeaWolves | — | 400 | 367 | 69 | 12 | 3 | 4 | 28 | 98 | 2 | 6 | 0 | 188 | 249 | 270 | 519 | 82 | 239 | 24 | 7 | 234 | 45 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | West Michigan Whitecaps | — | 114 | 107 | 31 | 5 | 1 | 3 | 5 | 21 | 0 | 1 | 0 | 290 | 321 | 439 | 761 | 150 | 328 | 18 | 4 | 328 | 108 | — | — | — | — | — | — |
| 2023 | 24 | AA MLE | Erie SeaWolves | — | 237 | 212 | 48 | 10 | 1 | 1 | 21 | 46 | 1 | 3 | 1 | 226 | 299 | 297 | 596 | 71 | 274 | 19 | 9 | 265 | 65 | — | — | — | — | — | — |
| 2023 | 24 | A MLE | Lakeland Flying Tigers | — | 32 | 24 | 6 | 1 | 0 | 0 | 7 | 6 | 1 | 2 | 0 | 250 | 438 | 292 | 729 | 42 | 300 | 19 | 22 | 340 | 116 | — | — | — | — | — | — |
| 2024 | 25 | AA MLE | Erie SeaWolves | — | 27 | 25 | 5 | 1 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 200 | 231 | 360 | 591 | 160 | 184 | 22 | 4 | 221 | 36 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 493 | 462 | 90 | 18 | 5 | 11 | 24 | 155 | 1 | 8 | 4 | 195 | 236 | 327 | 563 | 132 | 262 | 31 | 5 | 242 | 50 | — | — | — | — | — | — |
| 2021 | 22 | A+ RAW | 2 teams | — | 493 | 449 | 104 | 21 | 6 | 13 | 35 | 113 | 1 | 8 | 4 | 232 | 287 | 392 | 679 | 160 | 277 | 23 | 7 | 298 | 50 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | 2 teams | — | 514 | 474 | 100 | 17 | 4 | 7 | 33 | 119 | 2 | 7 | 0 | 211 | 265 | 308 | 573 | 97 | 263 | 23 | 6 | 255 | 59 | — | — | — | — | — | — |
| 2022 | 23 | AA RAW | 2 teams | — | 514 | 459 | 109 | 20 | 4 | 8 | 48 | 96 | 2 | 7 | 0 | 237 | 312 | 351 | 663 | 113 | 281 | 19 | 9 | 298 | 59 | — | — | — | — | — | — |
| 2023 | 24 | AA MLE | 2 teams | — | 269 | 236 | 54 | 11 | 1 | 1 | 28 | 52 | 2 | 5 | 1 | 229 | 316 | 297 | 612 | 68 | 285 | 19 | 10 | 274 | 72 | — | — | — | — | — | — |
| 2023 | 24 | AA RAW | 2 teams | — | 269 | 218 | 52 | 11 | 1 | 1 | 44 | 40 | 2 | 5 | 1 | 239 | 368 | 312 | 680 | 73 | 283 | 15 | 16 | 317 | 72 | — | — | — | — | — | — |
| 2024 | 25 | AA MLE | Erie SeaWolves | — | 27 | 25 | 5 | 1 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 200 | 231 | 360 | 591 | 160 | 211 | 22 | 4 | 221 | 36 | — | — | — | — | — | — |
| 2024 | 25 | AA RAW | Erie SeaWolves | — | 27 | 25 | 5 | 1 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 200 | 231 | 360 | 591 | 160 | 200 | 19 | 4 | 251 | 36 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 493 | 465 | 90 | 18 | 5 | 11 | 24 | 155 | 1 | 8 | 4 | 194 | 236 | 325 | 561 | 131 | 254 | 31 | 5 | 242 | 50 | — | — | — | — | — | — |
| 2022 | 23 | AA MLE | 2 teams | — | 514 | 474 | 100 | 17 | 4 | 7 | 33 | 119 | 2 | 7 | 0 | 211 | 265 | 308 | 573 | 97 | 259 | 23 | 6 | 255 | 59 | — | — | — | — | — | — |
| 2023 | 24 | AA MLE | 2 teams | — | 269 | 237 | 54 | 11 | 1 | 1 | 28 | 52 | 2 | 5 | 1 | 228 | 316 | 295 | 611 | 68 | 277 | 19 | 10 | 274 | 72 | — | — | — | — | — | — |
| 2024 | 25 | AA MLE | Erie SeaWolves | — | 27 | 26 | 5 | 1 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 192 | 231 | 346 | 577 | 154 | 184 | 22 | 4 | 221 | 36 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 25 | AA MLE | Erie SeaWolves | — | 27 | 26 | 5 | 1 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 192 | 231 | 346 | 577 | 154 | 184 | 22 | 4 | 221 | 36 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1303 | 1197 | 249 | 47 | 10 | 20 | 86 | 332 | 5 | 20 | 5 | 208 | 264 | 314 | 578 | 106 | 266 | 25 | 7 | 253 | 58 | -66 | +2 | +0 | -8 | +28 | -4.4 | |
| / 162G | — | MLE | — | 650 | 597 | 124 | 23 | 5 | 10 | 43 | 166 | 2 | 10 | 2 | 208 | 263 | 313 | 576 | 106 | 266 | 26 | 7 | 253 | 58 | -33 | +1 | +0 | -4 | +14 | -2.2 | |
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.
2024 AAErie SeaWolves · 27 PAwOBA .253 → .221 (−32)K% 18.5% → 22.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.52% | ÷1.009 | ×1.220 | — | — | 22.39% |
| BB% (unintentional) /PA | 3.70% | ÷1.086 | ×0.700 | — | ×0.988 | 2.36% |
| HBP% /PA | 0.00% | — | ×0.850 | — | ×0.988 | 0.00% |
| Singles /BIP | 15.00% | ÷0.992 | ×0.970 | — | ×0.988 | 14.49% |
| Doubles /BIP | 5.00% | ÷1.036 | ×0.860 | — | ×0.988 | 4.10% |
| Triples /BIP | 0.00% | ÷0.945 | ×0.950 | — | ×0.988 | 0.00% |
| Home runs /BIP | 5.00% | ÷0.941 | ×0.780 | — | ×0.988 | 4.09% |
Factors used: league row EL. Park (home-season share, regressed): HR 88, 1B 98, 2B 107, 3B 89, K 102, BB 117 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).
Result: wOBA .253 → .221; ISO .160 → .133; BABIP .200 → .184. 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 AAErie SeaWolves · 237 PAwOBA .298 → .265 (−32)K% 15.2% → 19.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.19% | ÷0.944 | ×1.220 | — | — | 19.64% |
| BB% (unintentional) /PA | 13.50% | ÷1.063 | ×0.700 | — | ×0.998 | 8.88% |
| HBP% /PA | 0.42% | — | ×0.850 | — | ×0.998 | 0.36% |
| Singles /BIP | 21.47% | ÷1.002 | ×0.970 | ×1.029 | ×0.998 | 21.36% |
| Doubles /BIP | 6.13% | ÷0.924 | ×0.860 | ×1.029 | ×0.998 | 5.87% |
| Triples /BIP | 0.61% | ÷1.145 | ×0.950 | ×1.029 | ×0.998 | 0.52% |
| Home runs /BIP | 0.61% | ÷1.055 | ×0.780 | — | ×0.998 | 0.45% |
Factors used: league row EL. Park (home-season share, regressed): HR 111, 1B 100, 2B 85, 3B 129, K 89, BB 113 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.
Result: wOBA .298 → .265; ISO .075 → .070; BABIP .279 → .274. 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 ALakeland Flying Tigers · 32 PAwOBA .422 → .340 (−82)K% 12.5% → 17.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.50% | ÷0.975 | ×1.360 | — | — | 17.43% |
| BB% (unintentional) /PA | 34.38% | ÷1.089 | ×0.690 | — | ×0.970 | 21.14% |
| HBP% /PA | 3.12% | — | ×0.780 | — | ×0.970 | 2.36% |
| Singles /BIP | 26.67% | ÷0.957 | ×0.920 | — | ×0.970 | 24.87% |
| Doubles /BIP | 6.67% | ÷1.056 | ×0.830 | — | ×0.970 | 5.08% |
| Triples /BIP | 0.00% | ÷1.020 | ×0.910 | — | ×0.970 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.216 | ×0.800 | — | ×0.970 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 143, 1B 91, 2B 111, 3B 104, K 95, BB 118 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average).
Result: wOBA .422 → .340; ISO .053 → .051; BABIP .333 → .300. 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 AAErie SeaWolves · 400 PAwOBA .266 → .234 (−32)K% 20.0% → 24.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷0.995 | ×1.220 | — | — | 24.51% |
| BB% (unintentional) /PA | 9.75% | ÷0.992 | ×0.700 | — | ×1.012 | 6.96% |
| HBP% /PA | 0.50% | — | ×0.850 | — | ×1.012 | 0.43% |
| Singles /BIP | 18.55% | ÷1.042 | ×0.970 | ×1.041 | ×1.012 | 18.20% |
| Doubles /BIP | 5.09% | ÷1.042 | ×0.860 | ×1.041 | ×1.012 | 4.43% |
| Triples /BIP | 1.09% | ÷0.900 | ×0.950 | ×1.041 | ×1.012 | 1.21% |
| Home runs /BIP | 1.82% | ÷0.926 | ×0.780 | — | ×1.012 | 1.55% |
Factors used: league row EL. Park (home-season share, regressed): HR 85, 1B 108, 2B 108, 3B 80, K 99, BB 98 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.041.
Result: wOBA .266 → .234; ISO .099 → .088; BABIP .249 → .239. 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 A+West Michigan Whitecaps · 114 PAwOBA .388 → .328 (−60)K% 14.0% → 18.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.04% | ÷0.956 | ×1.270 | — | — | 18.64% |
| BB% (unintentional) /PA | 7.02% | ÷1.024 | ×0.710 | — | ×0.988 | 4.81% |
| HBP% /PA | 0.00% | — | ×0.790 | — | ×0.988 | 0.00% |
| Singles /BIP | 29.55% | ÷1.031 | ×0.920 | ×0.982 | ×0.988 | 25.58% |
| Doubles /BIP | 6.82% | ÷0.876 | ×0.810 | ×0.982 | ×0.988 | 6.12% |
| Triples /BIP | 1.14% | ÷1.150 | ×0.850 | ×0.982 | ×0.988 | 0.82% |
| Home runs /BIP | 3.41% | ÷0.847 | ×0.800 | — | ×0.988 | 3.18% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 69, 1B 106, 2B 75, 3B 130, K 91, BB 105 — 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 ×0.982.
Result: wOBA .388 → .328; ISO .163 → .145; BABIP .379 → .328. 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 A+West Michigan Whitecaps · 422 PAwOBA .301 → .250 (−51)K% 22.5% → 31.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.51% | ÷0.959 | ×1.350 | — | — | 31.69% |
| BB% (unintentional) /PA | 7.82% | ÷1.000 | ×0.710 | — | ×0.998 | 5.54% |
| HBP% /PA | 0.00% | — | ×0.810 | — | ×0.998 | 0.00% |
| Singles /BIP | 20.35% | ÷1.001 | ×0.910 | ×1.024 | ×0.998 | 18.91% |
| Doubles /BIP | 6.67% | ÷0.935 | ×0.830 | ×1.024 | ×0.998 | 6.05% |
| Triples /BIP | 2.11% | ÷1.009 | ×0.820 | ×1.024 | ×0.998 | 1.75% |
| Home runs /BIP | 3.16% | ÷0.841 | ×0.830 | — | ×0.998 | 3.11% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 68, 1B 100, 2B 87, 3B 102, K 92, BB 100 — 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 ×1.024.
Result: wOBA .301 → .250; ISO .153 → .132; BABIP .294 → .269. 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 AAErie SeaWolves · 71 PAwOBA .242 → .197 (−45)K% 25.4% → 30.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.35% | ÷1.026 | ×1.220 | — | — | 30.13% |
| BB% (unintentional) /PA | 1.41% | ÷0.945 | ×0.690 | — | ×1.027 | 1.06% |
| HBP% /PA | 1.41% | — | ×0.850 | — | ×1.027 | 1.23% |
| Singles /BIP | 11.76% | ÷1.030 | ×0.940 | ×1.030 | ×1.027 | 11.36% |
| Doubles /BIP | 3.92% | ÷0.935 | ×0.870 | ×1.030 | ×1.027 | 3.86% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×1.030 | ×1.027 | 0.00% |
| Home runs /BIP | 7.84% | ÷1.055 | ×0.780 | — | ×1.027 | 5.96% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 111, 1B 106, 2B 87, 3B 130, K 105, BB 89 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.030.
Result: wOBA .242 → .197; ISO .203 → .151; BABIP .170 → .162. 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).