Mason Auer
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 21 | A+/A/INTL2 orgs | 607 | .282/.368/.485 | 18 | 56 | 92 | — | .235/.301/.386 |
| 2023 | 22 | AATB | 511 | .205/.292/.348 | 11 | 47 | 37 | — | .168/.231/.272 |
| 2024 | 23 | AATB | 331 | .190/.267/.325 | 6 | 23 | 32 | — | .162/.221/.274 |
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 | 20 | ROK | FCL Rays | — | 41 | 34 | 9 | 2 | 0 | 0 | 6 | 7 | 1 | 10 | 1 | 265 | 390 | 324 | 714 | 59 | 333 | 17 | 15 | 337 | 47 | — | — | — | — | — | — |
| 2022 | 21 | A+ | Bowling Green Hot Rods | — | 259 | 226 | 65 | 8 | 3 | 11 | 24 | 62 | 6 | 24 | 4 | 288 | 371 | 496 | 867 | 208 | 346 | 24 | 9 | 379 | 83 | — | — | — | — | — | — |
| 2022 | 21 | A | Charleston RiverDogs | — | 270 | 232 | 68 | 13 | 9 | 4 | 31 | 48 | 3 | 24 | 3 | 293 | 383 | 478 | 862 | 185 | 348 | 18 | 11 | 376 | 93 | — | — | — | — | — | — |
| 2022 | 21 | INTL | Mesa Solar Sox | — | 78 | 70 | 16 | 4 | 2 | 3 | 7 | 23 | 1 | 8 | 3 | 229 | 308 | 471 | 779 | 243 | 295 | 29 | 9 | 341 | 117 | — | — | — | — | — | — |
| 2023 | 22 | AA | Montgomery Biscuits | — | 511 | 454 | 93 | 18 | 7 | 11 | 49 | 184 | 7 | 47 | 11 | 205 | 292 | 348 | 640 | 143 | 315 | 36 | 10 | 290 | 37 | — | — | — | — | — | — |
| 2024 | 23 | AA | Montgomery Biscuits | — | 331 | 295 | 56 | 14 | 4 | 6 | 25 | 87 | 6 | 23 | 7 | 190 | 267 | 325 | 592 | 136 | 244 | 26 | 8 | 265 | 32 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2021 | 20 | ROK MLE | FCL Rays | — | 41 | 37 | 7 | 1 | 0 | 0 | 3 | 10 | 1 | 10 | 1 | 189 | 268 | 216 | 485 | 27 | 266 | 24 | 7 | 238 | 47 | — | — | — | — | — | — |
| 2022 | 21 | A+ MLE | Bowling Green Hot Rods | — | 259 | 236 | 54 | 6 | 3 | 9 | 14 | 81 | 6 | 24 | 4 | 229 | 289 | 394 | 683 | 165 | 287 | 31 | 5 | 291 | 83 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | Charleston RiverDogs | — | 270 | 241 | 58 | 10 | 7 | 3 | 22 | 66 | 3 | 24 | 3 | 241 | 312 | 378 | 690 | 137 | 308 | 24 | 8 | 305 | 93 | — | — | — | — | — | — |
| 2023 | 22 | AA MLE | Montgomery Biscuits | — | 511 | 471 | 79 | 15 | 5 | 8 | 32 | 220 | 7 | 47 | 11 | 168 | 231 | 272 | 503 | 104 | 288 | 43 | 6 | 223 | 37 | — | — | — | — | — | — |
| 2024 | 23 | AA MLE | Montgomery Biscuits | — | 331 | 303 | 49 | 13 | 3 | 5 | 17 | 106 | 6 | 23 | 7 | 162 | 221 | 274 | 495 | 112 | 217 | 32 | 5 | 215 | 32 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | FCL Rays | — | 41 | 37 | 7 | 1 | 0 | 0 | 3 | 10 | 1 | 10 | 1 | 189 | 268 | 216 | 485 | 27 | 259 | 24 | 7 | 238 | 47 | — | — | — | — | — | — |
| 2021 | 20 | ROK RAW | FCL Rays | — | 41 | 34 | 9 | 2 | 0 | 0 | 6 | 7 | 1 | 10 | 1 | 265 | 390 | 324 | 714 | 59 | 333 | 17 | 15 | 337 | 47 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | 3 teams | — | 607 | 548 | 130 | 18 | 12 | 15 | 42 | 169 | 10 | 56 | 10 | 237 | 303 | 396 | 699 | 159 | 310 | 28 | 7 | 298 | 88 | — | — | — | — | — | — |
| 2022 | 21 | A RAW | 3 teams | — | 607 | 528 | 149 | 25 | 14 | 18 | 62 | 133 | 10 | 56 | 10 | 282 | 368 | 485 | 853 | 203 | 341 | 22 | 10 | 372 | 88 | — | — | — | — | — | — |
| 2023 | 22 | AA MLE | Montgomery Biscuits | — | 511 | 471 | 79 | 15 | 5 | 8 | 32 | 220 | 7 | 47 | 11 | 168 | 231 | 272 | 503 | 104 | 291 | 43 | 6 | 223 | 37 | — | — | — | — | — | — |
| 2023 | 22 | AA RAW | Montgomery Biscuits | — | 511 | 454 | 93 | 18 | 7 | 11 | 49 | 184 | 7 | 47 | 11 | 205 | 292 | 348 | 640 | 143 | 315 | 36 | 10 | 290 | 37 | — | — | — | — | — | — |
| 2024 | 23 | AA MLE | Montgomery Biscuits | — | 331 | 303 | 49 | 13 | 3 | 5 | 17 | 106 | 6 | 23 | 7 | 162 | 221 | 274 | 495 | 112 | 226 | 32 | 5 | 215 | 32 | — | — | — | — | — | — |
| 2024 | 23 | AA RAW | Montgomery Biscuits | — | 331 | 295 | 56 | 14 | 4 | 6 | 25 | 87 | 6 | 23 | 7 | 190 | 267 | 325 | 592 | 136 | 244 | 26 | 8 | 265 | 32 | — | — | — | — | — | — |
| 2021 | 20 | ROK MLE | FCL Rays | — | 41 | 37 | 7 | 1 | 0 | 0 | 3 | 10 | 1 | 10 | 1 | 189 | 268 | 216 | 485 | 27 | 266 | 24 | 7 | 238 | 47 | — | — | — | — | — | — |
| 2022 | 21 | A MLE | 3 teams | — | 607 | 550 | 130 | 18 | 12 | 15 | 42 | 169 | 10 | 56 | 10 | 236 | 303 | 395 | 698 | 158 | 298 | 28 | 7 | 298 | 88 | — | — | — | — | — | — |
| 2023 | 22 | AA MLE | Montgomery Biscuits | — | 511 | 467 | 79 | 15 | 5 | 8 | 32 | 220 | 7 | 47 | 11 | 169 | 231 | 274 | 505 | 105 | 288 | 43 | 6 | 223 | 37 | — | — | — | — | — | — |
| 2024 | 23 | AA MLE | Montgomery Biscuits | — | 331 | 305 | 49 | 13 | 3 | 5 | 17 | 106 | 6 | 23 | 7 | 161 | 221 | 272 | 493 | 111 | 217 | 32 | 5 | 215 | 32 | — | — | — | — | — | — |
| ▸ Model inputs — neutral MLE (past 3 seasons) | |||||||||||||||||||||||||||||||
| 2024 | 23 | AA MLE | Montgomery Biscuits | — | 331 | 305 | 49 | 13 | 3 | 5 | 17 | 106 | 6 | 23 | 7 | 161 | 221 | 272 | 493 | 111 | 217 | 32 | 5 | 215 | 32 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1490 | 1359 | 265 | 47 | 20 | 28 | 94 | 505 | 24 | 136 | 29 | 195 | 259 | 321 | 580 | 126 | 283 | 34 | 6 | 252 | 57 | -76 | +16 | +0 | -9 | +32 | -3.8 | |
| / 162G | — | MLE | — | 650 | 593 | 116 | 21 | 9 | 12 | 41 | 220 | 10 | 59 | 13 | 196 | 259 | 322 | 581 | 126 | 284 | 34 | 6 | 252 | 57 | -33 | +7 | +0 | -4 | +14 | -1.7 | |
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 AAMontgomery Biscuits · 331 PAwOBA .261 → .215 (−46)K% 26.3% → 32.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.28% | ÷0.999 | ×1.220 | — | — | 32.10% |
| BB% (unintentional) /PA | 7.55% | ÷1.022 | ×0.680 | — | ×1.027 | 5.16% |
| HBP% /PA | 1.81% | — | ×0.840 | — | ×1.027 | 1.56% |
| Singles /BIP | 15.38% | ÷1.008 | ×0.920 | ×0.956 | ×1.027 | 13.78% |
| Doubles /BIP | 6.73% | ÷0.972 | ×0.910 | ×0.956 | ×1.027 | 6.18% |
| Triples /BIP | 1.92% | ÷1.115 | ×0.880 | ×0.956 | ×1.027 | 1.49% |
| Home runs /BIP | 2.88% | ÷0.958 | ×0.800 | — | ×1.027 | 2.47% |
Factors used: league row SL. Park (home-season share, regressed): HR 92, 1B 102, 2B 94, 3B 123, K 100, BB 104 — 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 ×0.956.
Result: wOBA .261 → .215; ISO .136 → .114; BABIP .244 → .217. 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 AAMontgomery Biscuits · 511 PAwOBA .282 → .223 (−59)K% 36.0% → 43.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 36.01% | ÷1.022 | ×1.220 | — | — | 43.00% |
| BB% (unintentional) /PA | 9.39% | ÷1.072 | ×0.680 | — | ×1.042 | 6.21% |
| HBP% /PA | 1.37% | — | ×0.840 | — | ×1.042 | 1.20% |
| Singles /BIP | 21.11% | ÷0.949 | ×0.920 | ×0.950 | ×1.042 | 20.25% |
| Doubles /BIP | 6.67% | ÷1.030 | ×0.910 | ×0.950 | ×1.042 | 5.83% |
| Triples /BIP | 2.59% | ÷1.150 | ×0.880 | ×0.950 | ×1.042 | 1.96% |
| Home runs /BIP | 4.07% | ÷1.087 | ×0.800 | — | ×1.042 | 3.12% |
Factors used: league row SL. Park (home-season share, regressed): HR 117, 1B 90, 2B 106, 3B 130, K 104, BB 114 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .282 → .223; ISO .143 → .107; 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).
2022 ACharleston RiverDogs · 270 PAwOBA .372 → .305 (−67)K% 17.8% → 24.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.78% | ÷0.985 | ×1.360 | — | — | 24.56% |
| BB% (unintentional) /PA | 11.48% | ÷0.983 | ×0.690 | — | ×1.015 | 8.18% |
| HBP% /PA | 1.11% | — | ×0.780 | — | ×1.015 | 0.88% |
| Singles /BIP | 22.83% | ÷0.970 | ×0.920 | ×0.971 | ×1.015 | 21.32% |
| Doubles /BIP | 7.07% | ÷1.066 | ×0.830 | ×0.971 | ×1.015 | 5.42% |
| Triples /BIP | 4.89% | ÷1.053 | ×0.910 | ×0.971 | ×1.015 | 4.16% |
| Home runs /BIP | 2.17% | ÷0.943 | ×0.800 | — | ×1.015 | 1.87% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 94, 2B 113, 3B 111, K 97, BB 97 — 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 ×0.971.
Result: wOBA .372 → .305; ISO .185 → .150; BABIP .348 → .308. 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+Bowling Green Hot Rods · 259 PAwOBA .373 → .291 (−81)K% 23.9% → 31.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.94% | ÷1.002 | ×1.310 | — | — | 31.30% |
| BB% (unintentional) /PA | 9.27% | ÷1.038 | ×0.600 | — | ×1.027 | 5.50% |
| HBP% /PA | 2.32% | — | ×0.770 | — | ×1.027 | 1.83% |
| Singles /BIP | 26.22% | ÷1.011 | ×0.870 | ×0.964 | ×1.027 | 22.34% |
| Doubles /BIP | 4.88% | ÷1.079 | ×0.780 | ×0.964 | ×1.027 | 3.49% |
| Triples /BIP | 1.83% | ÷0.900 | ×0.850 | ×0.964 | ×1.027 | 1.71% |
| Home runs /BIP | 6.71% | ÷1.020 | ×0.880 | — | ×1.027 | 5.94% |
Factors used: league row South Atlantic League. Park (home-season share, regressed): HR 104, 1B 102, 2B 116, 3B 80, K 100, BB 108 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.964.
Result: wOBA .373 → .291; ISO .208 → .174; BABIP .346 → .287. 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 ROKFCL Rays · 41 PAwOBA .321 → .238 (−82)K% 17.1% → 24.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.07% | ÷1.005 | ×1.440 | — | — | 24.45% |
| BB% (unintentional) /PA | 12.20% | ÷0.999 | ×0.620 | — | ×0.995 | 7.53% |
| HBP% /PA | 2.44% | — | ×0.720 | — | ×0.995 | 1.75% |
| Singles /BIP | 25.93% | ÷0.990 | ×0.820 | — | ×0.995 | 21.36% |
| Doubles /BIP | 7.41% | ÷1.006 | ×0.720 | — | ×0.995 | 5.27% |
| Triples /BIP | 0.00% | ÷1.065 | ×0.720 | — | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.948 | ×0.780 | — | ×0.995 | 0.00% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 98, 2B 101, 3B 113, K 101, BB 100 — 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 .321 → .238; ISO .059 → .042; BABIP .333 → .266. 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 — .