Daury Arias
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 20 | ROKNYY | 217 | .228/.383/.374 | 5 | 5 | 49 | — | .162/.276/.265 |
| 2023 | 21 | ANYY | 418 | .217/.335/.318 | 6 | 11 | 47 | — | .184/.266/.258 |
| 2024 | 22 | ANYY | 199 | .171/.268/.246 | 2 | 6 | -1 | — | .121/.192/.165 |
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 | 19 | ROK | DSL Yankees 2 | — | 222 | 181 | 52 | 10 | 1 | 8 | 38 | 30 | 2 | 9 | 2 | 287 | 414 | 486 | 901 | 199 | 308 | 14 | 17 | 401 | 50 | — | — | — | — | — | — |
| 2022 | 20 | ROK | FCL Yankees | — | 217 | 171 | 39 | 10 | 0 | 5 | 34 | 39 | 9 | 5 | 4 | 228 | 383 | 374 | 757 | 146 | 262 | 18 | 16 | 347 | 49 | — | — | — | — | — | — |
| 2023 | 21 | A | Tampa Tarpons | — | 418 | 355 | 77 | 14 | 2 | 6 | 58 | 86 | 5 | 11 | 1 | 217 | 335 | 318 | 653 | 101 | 270 | 21 | 14 | 305 | 47 | — | — | — | — | — | — |
| 2024 | 22 | A | Tampa Tarpons | — | 199 | 175 | 30 | 7 | 0 | 2 | 20 | 54 | 3 | 6 | 2 | 171 | 268 | 246 | 513 | 74 | 233 | 27 | 10 | 243 | -1 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 19 | ROK MLE | DSL Yankees 2 | — | 222 | 195 | 33 | 6 | 1 | 4 | 25 | 38 | 2 | 9 | 2 | 169 | 270 | 272 | 542 | 103 | 188 | 17 | 11 | 242 | 50 | — | — | — | — | — | — |
| 2022 | 20 | ROK MLE | FCL Yankees | — | 217 | 185 | 30 | 7 | 0 | 4 | 20 | 57 | 9 | 5 | 4 | 162 | 276 | 265 | 541 | 103 | 195 | 26 | 9 | 240 | 49 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Tampa Tarpons | — | 418 | 376 | 69 | 12 | 2 | 4 | 37 | 120 | 5 | 11 | 1 | 184 | 266 | 258 | 524 | 74 | 255 | 29 | 9 | 237 | 47 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | Tampa Tarpons | — | 199 | 182 | 22 | 5 | 0 | 1 | 13 | 77 | 3 | 6 | 2 | 121 | 192 | 165 | 357 | 44 | 190 | 39 | 7 | 167 | -1 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | DSL Yankees 2 | — | 222 | 195 | 33 | 6 | 1 | 4 | 25 | 38 | 2 | 9 | 2 | 169 | 270 | 272 | 542 | 103 | 190 | 17 | 11 | 242 | 50 | — | — | — | — | — | — |
| 2021 | 19 | ROK RAW | DSL Yankees 2 | — | 222 | 181 | 52 | 10 | 1 | 8 | 38 | 30 | 2 | 9 | 2 | 287 | 414 | 486 | 901 | 199 | 308 | 14 | 17 | 401 | 50 | — | — | — | — | — | — |
| 2022 | 20 | ROK MLE | FCL Yankees | — | 217 | 185 | 30 | 7 | 0 | 4 | 20 | 57 | 9 | 5 | 4 | 162 | 276 | 265 | 541 | 103 | 205 | 26 | 9 | 240 | 49 | — | — | — | — | — | — |
| 2022 | 20 | ROK RAW | FCL Yankees | — | 217 | 171 | 39 | 10 | 0 | 5 | 34 | 39 | 9 | 5 | 4 | 228 | 383 | 374 | 757 | 146 | 262 | 18 | 16 | 347 | 49 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Tampa Tarpons | — | 418 | 376 | 69 | 12 | 2 | 4 | 37 | 120 | 5 | 11 | 1 | 184 | 266 | 258 | 524 | 74 | 258 | 29 | 9 | 237 | 47 | — | — | — | — | — | — |
| 2023 | 21 | A RAW | Tampa Tarpons | — | 418 | 355 | 77 | 14 | 2 | 6 | 58 | 86 | 5 | 11 | 1 | 217 | 335 | 318 | 653 | 101 | 270 | 21 | 14 | 305 | 47 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | Tampa Tarpons | — | 199 | 182 | 22 | 5 | 0 | 1 | 13 | 77 | 3 | 6 | 2 | 121 | 192 | 165 | 357 | 44 | 200 | 39 | 7 | 167 | -1 | — | — | — | — | — | — |
| 2024 | 22 | A RAW | Tampa Tarpons | — | 199 | 175 | 30 | 7 | 0 | 2 | 20 | 54 | 3 | 6 | 2 | 171 | 268 | 246 | 513 | 74 | 233 | 27 | 10 | 243 | -1 | — | — | — | — | — | — |
| 2021 | 19 | ROK MLE | DSL Yankees 2 | — | 222 | 193 | 33 | 6 | 1 | 4 | 25 | 38 | 2 | 9 | 2 | 171 | 270 | 275 | 545 | 104 | 188 | 17 | 11 | 242 | 50 | — | — | — | — | — | — |
| 2022 | 20 | ROK MLE | FCL Yankees | — | 217 | 186 | 30 | 7 | 0 | 4 | 20 | 57 | 9 | 5 | 4 | 161 | 276 | 263 | 539 | 102 | 195 | 26 | 9 | 240 | 49 | — | — | — | — | — | — |
| 2023 | 21 | A MLE | Tampa Tarpons | — | 418 | 373 | 69 | 12 | 2 | 4 | 37 | 120 | 5 | 11 | 1 | 185 | 266 | 260 | 526 | 75 | 255 | 29 | 9 | 237 | 47 | — | — | — | — | — | — |
| 2024 | 22 | A MLE | Tampa Tarpons | — | 199 | 181 | 22 | 5 | 0 | 1 | 13 | 77 | 3 | 6 | 2 | 122 | 192 | 166 | 358 | 44 | 190 | 39 | 7 | 167 | -1 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 22 | A MLE | Tampa Tarpons | — | 199 | 181 | 22 | 5 | 0 | 1 | 13 | 77 | 3 | 6 | 2 | 122 | 192 | 166 | 358 | 44 | 190 | 39 | 7 | 167 | -1 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1056 | 938 | 154 | 30 | 3 | 13 | 95 | 292 | 19 | 31 | 9 | 164 | 255 | 244 | 499 | 80 | 221 | 28 | 9 | 225 | 39 | -77 | +3 | +0 | +4 | +23 | -4.9 | |
| / 162G | — | MLE | — | 650 | 577 | 94 | 18 | 2 | 8 | 58 | 180 | 12 | 19 | 6 | 163 | 253 | 243 | 496 | 80 | 220 | 28 | 9 | 225 | 39 | -47 | +1 | +0 | +2 | +14 | -3.0 | |
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 ATampa Tarpons · 199 PAwOBA .238 → .167 (−72)K% 27.1% → 38.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.14% | ÷0.959 | ×1.360 | — | — | 38.49% |
| BB% (unintentional) /PA | 10.05% | ÷1.061 | ×0.690 | — | ×0.990 | 6.47% |
| HBP% /PA | 1.51% | — | ×0.780 | — | ×0.990 | 1.16% |
| Singles /BIP | 17.36% | ÷1.035 | ×0.920 | ×0.950 | ×0.990 | 14.51% |
| Doubles /BIP | 5.79% | ÷1.028 | ×0.830 | ×0.950 | ×0.990 | 4.39% |
| Triples /BIP | 0.00% | ÷0.971 | ×0.910 | ×0.950 | ×0.990 | 0.00% |
| Home runs /BIP | 1.65% | ÷0.979 | ×0.800 | — | ×0.990 | 1.34% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 96, 1B 107, 2B 106, 3B 94, K 92, BB 112 — 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 ×0.950.
Result: wOBA .238 → .167; ISO .074 → .051; BABIP .233 → .190. 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 ATampa Tarpons · 418 PAwOBA .298 → .237 (−61)K% 20.6% → 28.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.57% | ÷0.975 | ×1.360 | — | — | 28.71% |
| BB% (unintentional) /PA | 13.88% | ÷1.079 | ×0.690 | — | — | 8.87% |
| HBP% /PA | 1.20% | — | ×0.780 | — | — | 0.93% |
| Singles /BIP | 20.45% | ÷0.987 | ×0.920 | ×1.034 | — | 19.70% |
| Doubles /BIP | 5.20% | ÷0.972 | ×0.830 | ×1.034 | — | 4.60% |
| Triples /BIP | 0.74% | ÷0.900 | ×0.910 | ×1.034 | — | 0.78% |
| Home runs /BIP | 2.23% | ÷1.086 | ×0.800 | — | — | 1.64% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 97, 2B 94, 3B 80, K 95, BB 116 — 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 ×1.034.
Result: wOBA .298 → .237; ISO .101 → .080; BABIP .270 → .255. 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 ROKFCL Yankees · 217 PAwOBA .344 → .240 (−104)K% 18.0% → 26.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.97% | ÷0.990 | ×1.440 | — | — | 26.14% |
| BB% (unintentional) /PA | 15.67% | ÷1.026 | ×0.620 | — | ×0.985 | 9.33% |
| HBP% /PA | 4.15% | — | ×0.720 | — | ×0.985 | 2.94% |
| Singles /BIP | 18.18% | ÷0.983 | ×0.820 | ×0.950 | ×0.985 | 14.20% |
| Doubles /BIP | 7.58% | ÷0.974 | ×0.720 | ×0.950 | ×0.985 | 5.24% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.720 | ×0.950 | ×0.985 | 0.00% |
| Home runs /BIP | 3.79% | ÷1.066 | ×0.780 | — | ×0.985 | 2.73% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 97, 2B 95, 3B 130, K 98, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .344 → .240; ISO .146 → .105; BABIP .262 → .195. 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 DSLDSL Yankees 2 · 222 PAwOBA .391 → .242 (−149)K% 13.5% → 17.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.51% | ÷0.964 | ×1.220 | — | — | 17.11% |
| BB% (unintentional) /PA | 17.12% | ÷1.038 | ×0.700 | — | ×0.985 | 11.37% |
| HBP% /PA | 0.90% | — | ×0.700 | — | ×0.985 | 0.62% |
| Singles /BIP | 21.85% | ÷1.033 | ×0.680 | ×1.001 | ×0.985 | 14.19% |
| Doubles /BIP | 6.62% | ÷1.033 | ×0.600 | ×1.001 | ×0.985 | 3.79% |
| Triples /BIP | 0.66% | ÷0.977 | ×0.600 | ×1.001 | ×0.985 | 0.40% |
| Home runs /BIP | 5.30% | ÷1.063 | ×0.470 | — | ×0.985 | 2.31% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 113, 1B 107, 2B 107, 3B 95, K 93, BB 108 — 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 ×1.001.
Result: wOBA .391 → .242; ISO .199 → .100; BABIP .308 → .188. 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).