Gage Green
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2015 | 22 | A/ROK2 orgs | 274 | .339/.418/.483 | 4 | 12 | 80 | — | .254/.310/.355 |
| 2016 | 23 | ALAD | 371 | .210/.306/.305 | 7 | 11 | 34 | — | .178/.256/.258 |
| 2017 | 24 | ALAD | 107 | .213/.282/.298 | 0 | 0 | 26 | — | .177/.233/.240 |
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) | |||||||||||||||||||||||||||||||
| 2015 | 22 | A | Great Lakes Loons | — | 16 | 13 | 2 | 1 | 0 | 0 | 2 | 4 | 1 | 1 | 0 | 154 | 312 | 231 | 543 | 77 | 222 | 25 | 12 | 270 | 21 | — | — | — | — | — | — |
| 2015 | 22 | ROK | Ogden Raptors | — | 258 | 223 | 78 | 15 | 3 | 4 | 24 | 39 | 5 | 11 | 3 | 350 | 425 | 498 | 922 | 148 | 402 | 15 | 9 | 401 | 84 | — | — | — | — | — | — |
| 2016 | 23 | A | Great Lakes Loons | — | 371 | 315 | 66 | 7 | 1 | 7 | 32 | 88 | 12 | 11 | 9 | 210 | 306 | 305 | 611 | 95 | 266 | 24 | 9 | 276 | 34 | — | — | — | — | — | — |
| 2017 | 24 | A | Great Lakes Loons | — | 107 | 94 | 20 | 8 | 0 | 0 | 6 | 18 | 3 | 0 | 0 | 213 | 282 | 298 | 579 | 85 | 250 | 17 | 6 | 257 | 26 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 22 | A MLE | Great Lakes Loons | — | 16 | 14 | 2 | 1 | 0 | 0 | 1 | 5 | 1 | 1 | 0 | 143 | 250 | 214 | 464 | 71 | 187 | 31 | 6 | 199 | 21 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | Ogden Raptors | — | 258 | 234 | 61 | 11 | 2 | 3 | 13 | 56 | 5 | 11 | 3 | 261 | 313 | 363 | 677 | 103 | 311 | 22 | 5 | 293 | 84 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Great Lakes Loons | — | 371 | 325 | 58 | 6 | 1 | 6 | 22 | 121 | 12 | 11 | 9 | 178 | 256 | 258 | 515 | 80 | 238 | 33 | 6 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 24 | A MLE | Great Lakes Loons | — | 107 | 96 | 17 | 6 | 0 | 0 | 4 | 25 | 3 | 0 | 0 | 177 | 233 | 240 | 473 | 62 | 210 | 23 | 4 | 207 | 26 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | 2 teams | — | 274 | 248 | 62 | 11 | 2 | 3 | 14 | 61 | 6 | 12 | 3 | 250 | 306 | 347 | 653 | 97 | 314 | 22 | 5 | 288 | 81 | — | — | — | — | — | — |
| 2015 | 22 | ROK RAW | 2 teams | — | 274 | 236 | 80 | 16 | 3 | 4 | 26 | 43 | 6 | 12 | 3 | 339 | 418 | 483 | 901 | 144 | 394 | 16 | 9 | 394 | 81 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Great Lakes Loons | — | 371 | 325 | 58 | 6 | 1 | 6 | 22 | 121 | 12 | 11 | 9 | 178 | 256 | 258 | 515 | 80 | 260 | 33 | 6 | 218 | 34 | — | — | — | — | — | — |
| 2016 | 23 | A RAW | Great Lakes Loons | — | 371 | 315 | 66 | 7 | 1 | 7 | 32 | 88 | 12 | 11 | 9 | 210 | 306 | 305 | 611 | 95 | 266 | 24 | 9 | 276 | 34 | — | — | — | — | — | — |
| 2017 | 24 | A MLE | Great Lakes Loons | — | 107 | 96 | 17 | 6 | 0 | 0 | 4 | 25 | 3 | 0 | 0 | 177 | 233 | 240 | 473 | 62 | 227 | 23 | 4 | 207 | 26 | — | — | — | — | — | — |
| 2017 | 24 | A RAW | Great Lakes Loons | — | 107 | 94 | 20 | 8 | 0 | 0 | 6 | 18 | 3 | 0 | 0 | 213 | 282 | 298 | 579 | 85 | 250 | 17 | 6 | 257 | 26 | — | — | — | — | — | — |
| 2015 | 22 | ROK MLE | 2 teams | — | 274 | 252 | 62 | 11 | 2 | 3 | 14 | 61 | 6 | 12 | 3 | 246 | 306 | 341 | 647 | 95 | 304 | 22 | 5 | 288 | 81 | — | — | — | — | — | — |
| 2016 | 23 | A MLE | Great Lakes Loons | — | 371 | 334 | 58 | 6 | 1 | 6 | 22 | 121 | 12 | 11 | 9 | 174 | 256 | 251 | 508 | 78 | 238 | 33 | 6 | 218 | 34 | — | — | — | — | — | — |
| 2017 | 24 | A MLE | Great Lakes Loons | — | 107 | 99 | 17 | 6 | 0 | 0 | 4 | 25 | 3 | 0 | 0 | 172 | 233 | 232 | 465 | 61 | 210 | 23 | 4 | 207 | 26 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 752 | 669 | 137 | 23 | 3 | 9 | 40 | 207 | 21 | 23 | 12 | 205 | 271 | 288 | 560 | 84 | 276 | 28 | 5 | 242 | 50 | -45 | -0 | +0 | -8 | +16 | -3.8 | |
| / 162G | — | MLE | — | 650 | 578 | 119 | 20 | 3 | 8 | 35 | 179 | 18 | 20 | 10 | 206 | 273 | 292 | 565 | 87 | 278 | 28 | 5 | 242 | 50 | -39 | +0 | +0 | -7 | +14 | -3.2 | |
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.
2017 AGreat Lakes Loons · 107 PAwOBA .260 → .207 (−53)K% 16.8% → 23.1%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.82% | ÷0.990 | ×1.360 | — | — | 23.11% |
| BB% (unintentional) /PA | 5.61% | ÷1.048 | ×0.690 | — | ×0.970 | 3.58% |
| HBP% /PA | 2.80% | — | ×0.780 | — | ×0.970 | 2.12% |
| Singles /BIP | 15.79% | ÷0.965 | ×0.920 | ×0.963 | ×0.970 | 14.06% |
| Doubles /BIP | 10.53% | ÷1.013 | ×0.830 | ×0.963 | ×0.970 | 8.06% |
| Triples /BIP | 0.00% | ÷1.013 | ×0.910 | ×0.963 | ×0.970 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.970 | ×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 94, 1B 93, 2B 103, 3B 103, K 98, BB 110 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.963.
Result: wOBA .260 → .207; ISO .085 → .065; BABIP .250 → .210. 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 AGreat Lakes Loons · 371 PAwOBA .271 → .218 (−53)K% 23.7% → 32.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.72% | ÷0.990 | ×1.360 | — | — | 32.57% |
| BB% (unintentional) /PA | 8.63% | ÷1.011 | ×0.690 | — | ×0.980 | 5.77% |
| HBP% /PA | 3.23% | — | ×0.780 | — | ×0.980 | 2.47% |
| Singles /BIP | 22.47% | ÷0.977 | ×0.920 | ×0.984 | ×0.980 | 20.39% |
| Doubles /BIP | 3.08% | ÷0.961 | ×0.830 | ×0.984 | ×0.980 | 2.57% |
| Triples /BIP | 0.44% | ÷0.900 | ×0.910 | ×0.984 | ×0.980 | 0.43% |
| Home runs /BIP | 3.08% | ÷0.960 | ×0.800 | — | ×0.980 | 2.52% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 95, 2B 92, 3B 80, K 98, BB 102 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.
Result: wOBA .271 → .218; ISO .095 → .077; BABIP .266 → .238. 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 ROKOgden Raptors · 258 PAwOBA .395 → .293 (−102)K% 15.1% → 21.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.12% | ÷1.000 | ×1.440 | — | — | 21.77% |
| BB% (unintentional) /PA | 8.53% | ÷1.000 | ×0.610 | — | ×0.965 | 5.02% |
| HBP% /PA | 1.94% | — | ×0.720 | — | ×0.965 | 1.35% |
| Singles /BIP | 30.43% | ÷1.000 | ×0.820 | ×1.014 | ×0.965 | 24.42% |
| Doubles /BIP | 8.15% | ÷1.000 | ×0.720 | ×1.014 | ×0.965 | 5.74% |
| Triples /BIP | 1.63% | ÷1.000 | ×0.720 | ×1.014 | ×0.965 | 1.15% |
| Home runs /BIP | 2.17% | ÷1.000 | ×0.750 | — | ×0.965 | 1.57% |
Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.
Result: wOBA .395 → .293; ISO .148 → .106; BABIP .402 → .311. 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 AGreat Lakes Loons · 16 PAwOBA .264 → .199 (−65)K% 25.0% → 32.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.00% | ÷1.039 | ×1.360 | — | — | 32.71% |
| BB% (unintentional) /PA | 12.50% | ÷1.028 | ×0.690 | — | ×0.990 | 8.31% |
| HBP% /PA | 6.25% | — | ×0.780 | — | ×0.990 | 4.83% |
| Singles /BIP | 11.11% | ÷1.028 | ×0.920 | — | ×0.990 | 9.85% |
| Doubles /BIP | 11.11% | ÷1.026 | ×0.830 | — | ×0.990 | 8.90% |
| Triples /BIP | 0.00% | ÷0.978 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.894 | ×0.800 | — | ×0.990 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 106, 2B 105, 3B 96, K 108, BB 106 — 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 .264 → .199; ISO .077 → .059; BABIP .222 → .187. 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).