Andy Atwood
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 25 | A+/ACWS | 212 | .259/.351/.395 | 5 | 11 | 48 | — | .188/.256/.273 |
| 2023 | 26 | AA/A+CWS | 182 | .213/.271/.287 | 0 | 7 | 5 | — | .161/.209/.215 |
| 2024 | 27 | INTLSydney Blue S… | 70 | .233/.292/.317 | 0 | 2 | 61 | — |
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) | |||||||||||||||||||||||||||||||
| 2022 | 25 | A+ | Winston-Salem Dash | — | 70 | 66 | 14 | 4 | 0 | 0 | 4 | 22 | 0 | 2 | 1 | 212 | 257 | 273 | 530 | 61 | 318 | 31 | 6 | 243 | -4 | — | — | — | — | — | — |
| 2022 | 25 | A | Kannapolis Cannon Ballers | — | 142 | 119 | 34 | 4 | 1 | 5 | 18 | 21 | 4 | 9 | 3 | 286 | 397 | 462 | 859 | 176 | 309 | 15 | 13 | 383 | 73 | — | — | — | — | — | — |
| 2023 | 26 | AA | Birmingham Barons | — | 50 | 44 | 6 | 0 | 0 | 0 | 3 | 19 | 1 | 2 | 0 | 136 | 208 | 136 | 345 | 231 | 38 | 6 | 165 | -31 | — | — | — | — | — | — | |
| 2023 | 26 | A+ | Winston-Salem Dash | — | 132 | 120 | 29 | 10 | 1 | 0 | 6 | 30 | 3 | 5 | 0 | 242 | 295 | 342 | 636 | 100 | 315 | 23 | 5 | 281 | 19 | — | — | — | — | — | — |
| 2024 | 27 | INTL | Sydney Blue Sox | — | 70 | 60 | 14 | 5 | 0 | 0 | 4 | 11 | 1 | 2 | 0 | 233 | 292 | 317 | 609 | 83 | 275 | 16 | 6 | 258 | 61 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2022 | 25 | A+ MLE | Winston-Salem Dash | — | 70 | 68 | 10 | 2 | 0 | 0 | 2 | 30 | 0 | 2 | 1 | 147 | 171 | 176 | 348 | 29 | 269 | 43 | 3 | 162 | -4 | — | — | — | — | — | — |
| 2022 | 25 | A MLE | Kannapolis Cannon Ballers | — | 142 | 125 | 26 | 3 | 1 | 3 | 12 | 29 | 4 | 9 | 3 | 208 | 298 | 320 | 618 | 112 | 243 | 20 | 8 | 276 | 73 | — | — | — | — | — | — |
| 2023 | 26 | AA MLE | Birmingham Barons | — | 50 | 45 | 5 | 0 | 0 | 0 | 2 | 25 | 1 | 2 | 0 | 111 | 167 | 111 | 278 | 193 | 50 | 4 | 122 | -31 | — | — | — | — | — | — | |
| 2023 | 26 | A+ MLE | Winston-Salem Dash | — | 132 | 122 | 22 | 7 | 1 | 0 | 4 | 41 | 3 | 5 | 0 | 180 | 225 | 254 | 479 | 74 | 241 | 31 | 3 | 196 | 19 | — | — | — | — | — | — |
| 2022 | 25 | A MLE | 2 teams | — | 212 | 193 | 37 | 6 | 1 | 3 | 14 | 60 | 4 | 11 | 4 | 192 | 261 | 280 | 540 | 88 | 260 | 28 | 7 | 238 | 47 | — | — | — | — | — | — |
| 2022 | 25 | A RAW | 2 teams | — | 212 | 185 | 48 | 8 | 1 | 5 | 22 | 43 | 4 | 11 | 4 | 259 | 351 | 395 | 745 | 135 | 312 | 20 | 10 | 337 | 47 | — | — | — | — | — | — |
| 2023 | 26 | A+ MLE | 2 teams | — | 182 | 167 | 26 | 7 | 1 | 0 | 6 | 66 | 4 | 7 | 0 | 156 | 203 | 210 | 413 | 54 | 250 | 36 | 3 | 176 | 5 | — | — | — | — | — | — |
| 2023 | 26 | A+ RAW | 2 teams | — | 182 | 164 | 35 | 10 | 1 | 0 | 9 | 49 | 4 | 7 | 0 | 213 | 271 | 287 | 558 | 73 | 297 | 27 | 5 | 249 | 5 | — | — | — | — | — | — |
| 2024 | 27 | INTL MLE | Sydney Blue Sox | — | 70 | 60 | 14 | 5 | 0 | 0 | 4 | 11 | 1 | 2 | 0 | 233 | 292 | 317 | 609 | 83 | 275 | 16 | 6 | — | — | — | — | — | — | — | — |
| 2024 | 27 | INTL RAW | Sydney Blue Sox | — | 70 | 60 | 14 | 5 | 0 | 0 | 4 | 11 | 1 | 2 | 0 | 233 | 292 | 317 | 609 | 83 | 275 | 16 | 6 | 258 | 61 | — | — | — | — | — | — |
| 2022 | 25 | A MLE | 2 teams | — | 212 | 192 | 37 | 6 | 1 | 3 | 14 | 60 | 4 | 11 | 4 | 193 | 261 | 281 | 542 | 89 | 252 | 28 | 7 | 238 | 47 | — | — | — | — | — | — |
| 2023 | 26 | A+ MLE | 2 teams | — | 182 | 170 | 26 | 7 | 1 | 0 | 6 | 66 | 4 | 7 | 0 | 153 | 203 | 206 | 409 | 53 | 228 | 36 | 3 | 176 | 5 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 464 | 420 | 77 | 18 | 2 | 3 | 24 | 137 | 9 | 20 | 4 | 183 | 243 | 257 | 500 | 74 | 259 | 30 | 5 | 178 | 7 | -52 | +2 | +0 | +2 | +10 | -3.8 | |
| / 162G | — | MLE | — | 650 | 588 | 108 | 25 | 3 | 4 | 34 | 192 | 13 | 28 | 6 | 184 | 244 | 257 | 501 | 73 | 260 | 30 | 5 | 178 | 7 | -72 | +3 | +0 | +2 | +14 | -5.4 | |
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.
2023 A+Winston-Salem Dash · 132 PAwOBA .278 → .196 (−82)K% 22.7% → 31.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.73% | ÷0.948 | ×1.310 | — | — | 31.40% |
| BB% (unintentional) /PA | 4.55% | ÷0.943 | ×0.600 | — | ×0.958 | 2.77% |
| HBP% /PA | 2.27% | — | ×0.770 | — | ×0.958 | 1.68% |
| Singles /BIP | 20.00% | ÷1.011 | ×0.870 | ×0.971 | ×0.958 | 16.02% |
| Doubles /BIP | 11.11% | ÷1.030 | ×0.780 | ×0.971 | ×0.958 | 7.83% |
| Triples /BIP | 1.11% | ÷1.008 | ×0.850 | ×0.971 | ×0.958 | 0.87% |
| Home runs /BIP | 0.00% | ÷1.017 | ×0.880 | — | ×0.958 | 0.00% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 103, 1B 102, 2B 106, 3B 102, K 90, BB 89 — applied at half strength. Age: age 27 vs a level average of 22.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.971.
Result: wOBA .278 → .196; ISO .100 → .068; BABIP .315 → .241. 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 AABirmingham Barons · 50 PAwOBA .165 → .122 (−43)K% 38.0% → 49.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 38.00% | ÷0.938 | ×1.220 | — | — | 49.45% |
| BB% (unintentional) /PA | 6.00% | ÷0.995 | ×0.680 | — | ×0.978 | 4.01% |
| HBP% /PA | 2.00% | — | ×0.840 | — | ×0.978 | 1.64% |
| Singles /BIP | 24.00% | ÷1.069 | ×0.920 | — | ×0.978 | 20.20% |
| Doubles /BIP | 0.00% | ÷0.961 | ×0.910 | — | ×0.978 | 0.00% |
| Triples /BIP | 0.00% | ÷0.967 | ×0.880 | — | ×0.978 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.013 | ×0.800 | — | ×0.978 | 0.00% |
Factors used: league row SL. Park (home-season share, regressed): HR 103, 1B 114, 2B 92, 3B 93, K 88, BB 99 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).
Result: wOBA .165 → .122; ISO .000 → .000; BABIP .231 → .193. 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 AKannapolis Cannon Ballers · 142 PAwOBA .376 → .276 (−100)K% 14.8% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 14.79% | ÷0.972 | ×1.360 | — | — | 20.68% |
| BB% (unintentional) /PA | 12.68% | ÷1.021 | ×0.690 | — | ×0.960 | 8.23% |
| HBP% /PA | 2.82% | — | ×0.780 | — | ×0.960 | 2.11% |
| Singles /BIP | 24.49% | ÷1.050 | ×0.920 | ×0.962 | ×0.960 | 19.83% |
| Doubles /BIP | 4.08% | ÷0.976 | ×0.830 | ×0.962 | ×0.960 | 3.20% |
| Triples /BIP | 1.02% | ÷1.150 | ×0.910 | ×0.962 | ×0.960 | 0.75% |
| Home runs /BIP | 5.10% | ÷1.172 | ×0.800 | — | ×0.960 | 3.34% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 134, 1B 110, 2B 95, 3B 130, K 94, BB 104 — applied at half strength. Age: age 26 vs a level average of 22.0 → −4.0% on BB/HBP/hit rates (4.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.962.
Result: wOBA .376 → .276; ISO .176 → .121; BABIP .309 → .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).
2022 A+Winston-Salem Dash · 70 PAwOBA .236 → .162 (−75)K% 31.4% → 43.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 31.43% | ÷0.953 | ×1.310 | — | — | 43.20% |
| BB% (unintentional) /PA | 5.71% | ÷1.037 | ×0.600 | — | ×0.968 | 3.20% |
| HBP% /PA | 0.00% | — | ×0.770 | — | ×0.968 | 0.00% |
| Singles /BIP | 22.73% | ÷0.956 | ×0.870 | ×1.013 | ×0.968 | 20.28% |
| Doubles /BIP | 9.09% | ÷1.056 | ×0.780 | ×1.013 | ×0.968 | 6.58% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.850 | ×1.013 | ×0.968 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.955 | ×0.880 | — | ×0.968 | 0.00% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 91, 1B 91, 2B 111, 3B 130, K 91, BB 107 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.
Result: wOBA .236 → .162; ISO .061 → .037; BABIP .318 → .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).
Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .