Austin Green
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 25 | AADET | 323 | .259/.312/.350 | 3 | 0 | 53 | — | .233/.271/.302 |
| 2016 | 26 | AADET | 198 | .231/.263/.344 | 4 | 0 | 36 | — | .202/.227/.293 |
| 2017 | 27 | A+DET | 56 | .231/.273/.327 | 1 | 1 | 17 | — | .170/.200/.208 |
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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.
| 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) | |||||||||||||||||||||||||||||||
| 2013 | 23 | A | West Michigan Whitecaps | — | 36 | 31 | 10 | 4 | 0 | 1 | 4 | 6 | 1 | 0 | 0 | 323 | 417 | 548 | 965 | 226 | 375 | 17 | 11 | 424 | 113 | — | — | — | — | — | — |
| 2014 | 24 | A+ | Lakeland Flying Tigers | — | 433 | 403 | 106 | 17 | 3 | 15 | 20 | 73 | 6 | 2 | 2 | 263 | 308 | 432 | 739 | 169 | 286 | 17 | 5 | 324 | 64 | — | — | — | — | — | — |
| 2015 | 25 | AA | Erie SeaWolves | — | 323 | 294 | 76 | 14 | 2 | 3 | 20 | 56 | 3 | 0 | 1 | 259 | 312 | 350 | 663 | 92 | 308 | 17 | 6 | 295 | 53 | — | — | — | — | — | — |
| 2016 | 26 | AA | Erie SeaWolves | — | 198 | 186 | 43 | 9 | 0 | 4 | 6 | 31 | 2 | 0 | 0 | 231 | 263 | 344 | 607 | 113 | 253 | 16 | 3 | 266 | 36 | — | — | — | — | — | — |
| 2017 | 27 | A+ | Lakeland Flying Tigers | — | 56 | 52 | 12 | 0 | 1 | 1 | 3 | 9 | 0 | 1 | 0 | 231 | 273 | 327 | 600 | 96 | 262 | 16 | 5 | 265 | 17 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2013 | 23 | A MLE | West Michigan Whitecaps | — | 36 | 32 | 8 | 3 | 0 | 1 | 3 | 8 | 1 | 0 | 0 | 250 | 333 | 438 | 771 | 188 | 325 | 22 | 8 | 335 | 113 | — | — | — | — | — | — |
| 2014 | 24 | A+ MLE | Lakeland Flying Tigers | — | 433 | 408 | 90 | 16 | 2 | 12 | 15 | 105 | 6 | 2 | 2 | 221 | 259 | 358 | 617 | 137 | 260 | 24 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2015 | 25 | AA MLE | Erie SeaWolves | — | 323 | 301 | 70 | 11 | 2 | 2 | 13 | 71 | 3 | 0 | 1 | 233 | 271 | 302 | 574 | 70 | 284 | 22 | 4 | 247 | 53 | — | — | — | — | — | — |
| 2016 | 26 | AA MLE | Erie SeaWolves | — | 198 | 188 | 38 | 8 | 0 | 3 | 4 | 38 | 2 | 0 | 0 | 202 | 227 | 293 | 519 | 90 | 226 | 19 | 2 | 221 | 36 | — | — | — | — | — | — |
| 2017 | 27 | A+ MLE | Lakeland Flying Tigers | — | 56 | 53 | 9 | 0 | 1 | 0 | 2 | 13 | 0 | 1 | 0 | 170 | 200 | 208 | 408 | 38 | 225 | 23 | 4 | 193 | 17 | — | — | — | — | — | — |
| 2013 | 23 | A MLE | West Michigan Whitecaps | — | 36 | 32 | 8 | 3 | 0 | 1 | 3 | 8 | 1 | 0 | 0 | 250 | 333 | 438 | 771 | 188 | 304 | 22 | 8 | 335 | 113 | — | — | — | — | — | — |
| 2013 | 23 | A RAW | West Michigan Whitecaps | — | 36 | 31 | 10 | 4 | 0 | 1 | 4 | 6 | 1 | 0 | 0 | 323 | 417 | 548 | 965 | 226 | 375 | 17 | 11 | 424 | 113 | — | — | — | — | — | — |
| 2014 | 24 | A+ MLE | Lakeland Flying Tigers | — | 433 | 408 | 90 | 16 | 2 | 12 | 15 | 105 | 6 | 2 | 2 | 221 | 259 | 358 | 617 | 137 | 265 | 24 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2014 | 24 | A+ RAW | Lakeland Flying Tigers | — | 433 | 403 | 106 | 17 | 3 | 15 | 20 | 73 | 6 | 2 | 2 | 263 | 308 | 432 | 739 | 169 | 286 | 17 | 5 | 324 | 64 | — | — | — | — | — | — |
| 2015 | 25 | AA MLE | Erie SeaWolves | — | 323 | 301 | 70 | 11 | 2 | 2 | 13 | 71 | 3 | 0 | 1 | 233 | 271 | 302 | 574 | 70 | 296 | 22 | 4 | 247 | 53 | — | — | — | — | — | — |
| 2015 | 25 | AA RAW | Erie SeaWolves | — | 323 | 294 | 76 | 14 | 2 | 3 | 20 | 56 | 3 | 0 | 1 | 259 | 312 | 350 | 663 | 92 | 308 | 17 | 6 | 295 | 53 | — | — | — | — | — | — |
| 2016 | 26 | AA MLE | Erie SeaWolves | — | 198 | 188 | 38 | 8 | 0 | 3 | 4 | 38 | 2 | 0 | 0 | 202 | 227 | 293 | 519 | 90 | 233 | 19 | 2 | 221 | 36 | — | — | — | — | — | — |
| 2016 | 26 | AA RAW | Erie SeaWolves | — | 198 | 186 | 43 | 9 | 0 | 4 | 6 | 31 | 2 | 0 | 0 | 231 | 263 | 344 | 607 | 113 | 253 | 16 | 3 | 266 | 36 | — | — | — | — | — | — |
| 2017 | 27 | A+ MLE | Lakeland Flying Tigers | — | 56 | 53 | 9 | 0 | 1 | 0 | 2 | 13 | 0 | 1 | 0 | 170 | 200 | 208 | 408 | 38 | 225 | 23 | 4 | 193 | 17 | — | — | — | — | — | — |
| 2017 | 27 | A+ RAW | Lakeland Flying Tigers | — | 56 | 52 | 12 | 0 | 1 | 1 | 3 | 9 | 0 | 1 | 0 | 231 | 273 | 327 | 600 | 96 | 262 | 16 | 5 | 265 | 17 | — | — | — | — | — | — |
| 2013 | 23 | A MLE | West Michigan Whitecaps | — | 36 | 32 | 8 | 3 | 0 | 1 | 3 | 8 | 1 | 0 | 0 | 250 | 333 | 438 | 771 | 188 | 325 | 22 | 8 | 335 | 113 | — | — | — | — | — | — |
| 2014 | 24 | A+ MLE | Lakeland Flying Tigers | — | 433 | 409 | 90 | 16 | 2 | 12 | 15 | 105 | 6 | 2 | 2 | 220 | 259 | 357 | 616 | 137 | 260 | 24 | 3 | 263 | 64 | — | — | — | — | — | — |
| 2015 | 25 | AA MLE | Erie SeaWolves | — | 323 | 304 | 70 | 11 | 2 | 2 | 13 | 71 | 3 | 0 | 1 | 230 | 271 | 299 | 571 | 69 | 284 | 22 | 4 | 247 | 53 | — | — | — | — | — | — |
| 2016 | 26 | AA MLE | Erie SeaWolves | — | 198 | 190 | 38 | 8 | 0 | 3 | 4 | 38 | 2 | 0 | 0 | 200 | 227 | 289 | 516 | 89 | 226 | 19 | 2 | 221 | 36 | — | — | — | — | — | — |
| 2017 | 27 | A+ MLE | Lakeland Flying Tigers | — | 56 | 54 | 9 | 0 | 1 | 0 | 2 | 13 | 0 | 1 | 0 | 167 | 200 | 204 | 404 | 37 | 225 | 23 | 4 | 193 | 17 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1046 | 982 | 215 | 38 | 5 | 18 | 37 | 235 | 12 | 3 | 3 | 219 | 256 | 323 | 579 | 104 | 267 | 22 | 4 | 249 | 55 | -57 | -1 | +0 | +19 | +23 | -1.6 | |
| / 162G | — | MLE | — | 650 | 610 | 134 | 24 | 3 | 11 | 23 | 146 | 7 | 2 | 2 | 220 | 256 | 323 | 579 | 103 | 269 | 22 | 4 | 249 | 55 | -35 | -0 | +0 | +12 | +14 | -1.0 | |
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.
2017 A+Lakeland Flying Tigers · 56 PAwOBA .258 → .193 (−65)K% 16.1% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.07% | ÷0.995 | ×1.420 | — | — | 22.95% |
| BB% (unintentional) /PA | 5.36% | ÷1.138 | ×0.750 | — | ×0.958 | 3.38% |
| HBP% /PA | 0.00% | — | ×0.930 | — | ×0.958 | 0.00% |
| Singles /BIP | 23.26% | ÷1.012 | ×0.920 | ×1.012 | ×0.958 | 20.50% |
| Doubles /BIP | 0.00% | ÷0.918 | ×0.960 | ×1.012 | ×0.958 | 0.00% |
| Triples /BIP | 2.33% | ÷1.039 | ×0.810 | ×1.012 | ×0.958 | 1.76% |
| Home runs /BIP | 2.33% | ÷1.747 | ×0.880 | — | ×0.958 | 1.12% |
Factors used: league row FSL. Park (home-season share, regressed): HR 249, 1B 102, 2B 84, 3B 108, K 99, BB 128 — 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 ×1.012.
Result: wOBA .258 → .193; ISO .096 → .055; BABIP .262 → .225. 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).
2016 AAErie SeaWolves · 198 PAwOBA .263 → .221 (−41)K% 15.7% → 19.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.66% | ÷0.998 | ×1.220 | — | — | 19.14% |
| BB% (unintentional) /PA | 3.03% | ÷1.027 | ×0.700 | — | ×0.988 | 2.04% |
| HBP% /PA | 1.01% | — | ×0.850 | — | ×0.988 | 0.85% |
| Singles /BIP | 19.35% | ÷1.045 | ×0.970 | ×0.990 | ×0.988 | 17.59% |
| Doubles /BIP | 5.81% | ÷0.973 | ×0.860 | ×0.990 | ×0.988 | 5.02% |
| Triples /BIP | 0.00% | ÷1.127 | ×0.950 | ×0.990 | ×0.988 | 0.00% |
| Home runs /BIP | 2.58% | ÷1.095 | ×0.780 | — | ×0.988 | 1.82% |
Factors used: league row EL. Park (home-season share, regressed): HR 119, 1B 109, 2B 95, 3B 125, K 100, BB 105 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.
Result: wOBA .263 → .221; ISO .113 → .087; BABIP .253 → .226. 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).
2015 AAErie SeaWolves · 323 PAwOBA .289 → .247 (−42)K% 17.3% → 22.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.34% | ÷0.959 | ×1.220 | — | — | 22.05% |
| BB% (unintentional) /PA | 6.19% | ÷1.077 | ×0.700 | — | ×0.998 | 4.01% |
| HBP% /PA | 0.93% | — | ×0.850 | — | ×0.998 | 0.79% |
| Singles /BIP | 23.95% | ÷0.995 | ×0.970 | ×0.991 | ×0.998 | 23.09% |
| Doubles /BIP | 5.88% | ÷1.095 | ×0.860 | ×0.991 | ×0.998 | 4.57% |
| Triples /BIP | 0.84% | ÷1.074 | ×0.950 | ×0.991 | ×0.998 | 0.74% |
| Home runs /BIP | 1.26% | ÷1.100 | ×0.780 | — | ×0.998 | 0.89% |
Factors used: league row EL. Park (home-season share, regressed): HR 120, 1B 99, 2B 119, 3B 115, K 92, BB 115 — 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 ×0.991.
Result: wOBA .289 → .247; ISO .092 → .070; BABIP .308 → .284. 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).
2014 A+Lakeland Flying Tigers · 433 PAwOBA .318 → .263 (−54)K% 16.9% → 24.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.86% | ÷0.991 | ×1.420 | — | — | 24.16% |
| BB% (unintentional) /PA | 4.62% | ÷1.017 | ×0.750 | — | ×0.988 | 3.36% |
| HBP% /PA | 1.39% | — | ×0.930 | — | ×0.988 | 1.27% |
| Singles /BIP | 21.52% | ÷1.010 | ×0.920 | ×1.006 | ×0.988 | 19.49% |
| Doubles /BIP | 5.15% | ÷0.963 | ×0.960 | ×1.006 | ×0.988 | 5.11% |
| Triples /BIP | 0.91% | ÷1.123 | ×0.810 | ×1.006 | ×0.988 | 0.65% |
| Home runs /BIP | 4.55% | ÷1.032 | ×0.880 | — | ×0.988 | 3.83% |
Factors used: league row FSL. Park (home-season share, regressed): HR 106, 1B 102, 2B 93, 3B 125, K 98, BB 103 — 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 ×1.006.
Result: wOBA .318 → .263; ISO .169 → .137; BABIP .286 → .260. 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).
2013 AWest Michigan Whitecaps · 36 PAwOBA .413 → .335 (−78)K% 16.7% → 22.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.67% | ÷0.990 | ×1.360 | — | — | 22.90% |
| BB% (unintentional) /PA | 11.11% | ÷0.977 | ×0.690 | — | ×0.990 | 7.77% |
| HBP% /PA | 2.78% | — | ×0.780 | — | ×0.990 | 2.15% |
| Singles /BIP | 20.00% | ÷1.048 | ×0.920 | — | ×0.990 | 17.38% |
| Doubles /BIP | 16.00% | ÷0.936 | ×0.830 | — | ×0.990 | 14.05% |
| Triples /BIP | 0.00% | ÷0.900 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 4.00% | ÷0.931 | ×0.800 | — | ×0.990 | 3.40% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 110, 2B 87, 3B 80, K 98, BB 95 — 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).
Result: wOBA .413 → .335; ISO .226 → .189; BABIP .375 → .325. 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).