Emilio Gustave
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 21 | ROKPrinceton Rays | 237 | .252/.342/.417 | 6 | 5 | 40 | — | .172/.239/.274 |
| 2017 | 22 | ATB | 116 | .238/.298/.410 | 5 | 5 | 42 | — | .185/.228/.315 |
| 2018 | 23 | A/INTL2 orgs | 416 | .231/.297/.314 | 3 | 9 | 33 | — | .179/.230/.249 |
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 | 20 | ROK | DSL Rays | — | 110 | 94 | 21 | 6 | 1 | 0 | 11 | 27 | 5 | 5 | 4 | 223 | 336 | 309 | 645 | 85 | 313 | 25 | 10 | 303 | 20 | — | — | — | — | — | — |
| 2016 | 21 | ROK | Princeton Rays | — | 237 | 206 | 52 | 12 | 2 | 6 | 22 | 70 | 6 | 5 | 2 | 252 | 342 | 417 | 759 | 165 | 346 | 30 | 9 | 337 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A | Bowling Green Hot Rods | — | 116 | 105 | 25 | 3 | 0 | 5 | 8 | 32 | 1 | 5 | 3 | 238 | 298 | 410 | 708 | 171 | 290 | 28 | 7 | 310 | 42 | — | — | — | — | — | — |
| 2018 | 23 | A | Bowling Green Hot Rods | — | 377 | 339 | 76 | 14 | 4 | 3 | 22 | 101 | 8 | 5 | 4 | 224 | 287 | 316 | 603 | 91 | 307 | 27 | 6 | 270 | 26 | — | — | — | — | — | — |
| 2018 | 23 | INTL | Dominican Republic | — | 39 | 34 | 10 | 0 | 0 | 0 | 4 | 16 | 1 | 4 | 2 | 294 | 385 | 294 | 679 | 556 | 41 | 10 | 322 | 104 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2015 | 20 | ROK MLE | DSL Rays | — | 110 | 97 | 15 | 4 | 1 | 0 | 8 | 33 | 5 | 5 | 4 | 155 | 255 | 216 | 471 | 62 | 212 | 30 | 7 | 198 | 20 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Princeton Rays | — | 237 | 215 | 37 | 8 | 1 | 4 | 13 | 99 | 6 | 5 | 2 | 172 | 239 | 274 | 514 | 102 | 275 | 42 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Bowling Green Hot Rods | — | 116 | 108 | 20 | 2 | 0 | 4 | 5 | 45 | 1 | 5 | 3 | 185 | 228 | 315 | 543 | 130 | 259 | 39 | 4 | 231 | 42 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | Bowling Green Hot Rods | — | 377 | 346 | 62 | 10 | 4 | 2 | 15 | 137 | 8 | 5 | 4 | 179 | 230 | 249 | 479 | 69 | 270 | 36 | 4 | 207 | 26 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | DSL Rays | — | 110 | 97 | 15 | 4 | 1 | 0 | 8 | 33 | 5 | 5 | 4 | 155 | 255 | 216 | 471 | 62 | 234 | 30 | 7 | 198 | 20 | — | — | — | — | — | — |
| 2015 | 20 | ROK RAW | DSL Rays | — | 110 | 94 | 21 | 6 | 1 | 0 | 11 | 27 | 5 | 5 | 4 | 223 | 336 | 309 | 645 | 85 | 313 | 25 | 10 | 303 | 20 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Princeton Rays | — | 237 | 215 | 37 | 8 | 1 | 4 | 13 | 99 | 6 | 5 | 2 | 172 | 239 | 274 | 514 | 102 | 287 | 42 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2016 | 21 | ROK RAW | Princeton Rays | — | 237 | 206 | 52 | 12 | 2 | 6 | 22 | 70 | 6 | 5 | 2 | 252 | 342 | 417 | 759 | 165 | 346 | 30 | 9 | 337 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Bowling Green Hot Rods | — | 116 | 108 | 20 | 2 | 0 | 4 | 5 | 45 | 1 | 5 | 3 | 185 | 228 | 315 | 543 | 130 | 267 | 39 | 4 | 231 | 42 | — | — | — | — | — | — |
| 2017 | 22 | A RAW | Bowling Green Hot Rods | — | 116 | 105 | 25 | 3 | 0 | 5 | 8 | 32 | 1 | 5 | 3 | 238 | 298 | 410 | 708 | 171 | 290 | 28 | 7 | 310 | 42 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | 2 teams | — | 416 | 382 | 67 | 11 | 4 | 2 | 17 | 151 | 9 | 9 | 6 | 175 | 228 | 241 | 469 | 65 | 280 | 36 | 4 | 207 | 26 | — | — | — | — | — | — |
| 2018 | 23 | A RAW | 2 teams | — | 416 | 373 | 86 | 14 | 4 | 3 | 26 | 117 | 9 | 9 | 6 | 231 | 297 | 314 | 610 | 83 | 324 | 28 | 6 | 275 | 26 | — | — | — | — | — | — |
| 2015 | 20 | ROK MLE | DSL Rays | — | 110 | 96 | 15 | 4 | 1 | 0 | 8 | 33 | 5 | 5 | 4 | 156 | 255 | 219 | 473 | 62 | 212 | 30 | 7 | 198 | 20 | — | — | — | — | — | — |
| 2016 | 21 | ROK MLE | Princeton Rays | — | 237 | 216 | 37 | 8 | 1 | 4 | 13 | 99 | 6 | 5 | 2 | 171 | 239 | 273 | 512 | 102 | 275 | 42 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2017 | 22 | A MLE | Bowling Green Hot Rods | — | 116 | 109 | 20 | 2 | 0 | 4 | 5 | 45 | 1 | 5 | 3 | 183 | 228 | 312 | 540 | 128 | 259 | 39 | 4 | 231 | 42 | — | — | — | — | — | — |
| 2018 | 23 | A MLE | 2 teams | — | 416 | 387 | 67 | 11 | 4 | 2 | 17 | 151 | 9 | 9 | 6 | 173 | 228 | 238 | 466 | 65 | 270 | 36 | 4 | 207 | 26 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 879 | 802 | 139 | 25 | 6 | 10 | 43 | 328 | 21 | 24 | 15 | 173 | 234 | 257 | 491 | 84 | 274 | 37 | 5 | 215 | 31 | -72 | -1 | +0 | +3 | +19 | -5.2 | |
| / 162G | — | MLE | — | 650 | 593 | 101 | 18 | 4 | 7 | 32 | 243 | 16 | 18 | 11 | 170 | 232 | 250 | 482 | 79 | 270 | 37 | 5 | 215 | 31 | -53 | -1 | +0 | +2 | +14 | -3.8 | |
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.
2018 ABowling Green Hot Rods · 377 PAwOBA .265 → .207 (−58)K% 26.8% → 36.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.79% | ÷1.000 | ×1.360 | — | — | 36.45% |
| BB% (unintentional) /PA | 5.84% | ÷0.991 | ×0.690 | — | ×0.990 | 4.02% |
| HBP% /PA | 2.12% | — | ×0.780 | — | ×0.990 | 1.64% |
| Singles /BIP | 23.11% | ÷1.004 | ×0.920 | ×0.995 | ×0.990 | 20.85% |
| Doubles /BIP | 5.88% | ÷1.057 | ×0.830 | ×0.995 | ×0.990 | 4.55% |
| Triples /BIP | 1.68% | ÷0.900 | ×0.910 | ×0.995 | ×0.990 | 1.67% |
| Home runs /BIP | 1.26% | ÷1.037 | ×0.800 | — | ×0.990 | 0.96% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 101, 2B 111, 3B 80, K 100, BB 98 — 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 ×0.995.
Result: wOBA .265 → .207; ISO .091 → .069; BABIP .307 → .270. 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).
2017 ABowling Green Hot Rods · 116 PAwOBA .304 → .231 (−73)K% 27.6% → 38.6%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.59% | ÷0.973 | ×1.360 | — | — | 38.57% |
| BB% (unintentional) /PA | 6.90% | ÷1.013 | ×0.690 | — | — | 4.70% |
| HBP% /PA | 0.86% | — | ×0.780 | — | — | 0.67% |
| Singles /BIP | 23.29% | ÷0.978 | ×0.920 | ×0.993 | — | 21.74% |
| Doubles /BIP | 4.11% | ÷1.086 | ×0.830 | ×0.993 | — | 3.12% |
| Triples /BIP | 0.00% | ÷1.121 | ×0.910 | ×0.993 | — | 0.00% |
| Home runs /BIP | 6.85% | ÷0.985 | ×0.800 | — | — | 5.56% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 97, 1B 96, 2B 117, 3B 124, K 95, BB 103 — 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 ×0.993.
Result: wOBA .304 → .231; ISO .171 → .123; BABIP .290 → .259. 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 ROKPrinceton Rays · 237 PAwOBA .331 → .228 (−103)K% 29.5% → 41.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 29.54% | ÷1.000 | ×1.420 | — | — | 41.94% |
| BB% (unintentional) /PA | 8.86% | ÷1.000 | ×0.640 | — | ×0.985 | 5.59% |
| HBP% /PA | 2.53% | — | ×0.740 | — | ×0.985 | 1.85% |
| Singles /BIP | 23.53% | ÷1.000 | ×0.840 | ×1.008 | ×0.985 | 19.62% |
| Doubles /BIP | 8.82% | ÷1.000 | ×0.740 | ×1.008 | ×0.985 | 6.48% |
| Triples /BIP | 1.47% | ÷1.000 | ×0.740 | ×1.008 | ×0.985 | 1.08% |
| Home runs /BIP | 4.41% | ÷1.000 | ×0.800 | — | ×0.985 | 3.48% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.008.
Result: wOBA .331 → .228; ISO .165 → .111; BABIP .346 → .275. 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 DSLDSL Rays · 110 PAwOBA .296 → .198 (−98)K% 24.5% → 29.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.55% | ÷1.000 | ×1.220 | — | — | 29.95% |
| BB% (unintentional) /PA | 10.00% | ÷1.000 | ×0.700 | — | ×0.985 | 6.89% |
| HBP% /PA | 4.55% | — | ×0.700 | — | ×0.985 | 3.13% |
| Singles /BIP | 20.90% | ÷1.000 | ×0.680 | ×1.050 | ×0.985 | 14.70% |
| Doubles /BIP | 8.96% | ÷1.000 | ×0.600 | ×1.050 | ×0.985 | 5.56% |
| Triples /BIP | 1.49% | ÷1.000 | ×0.600 | ×1.050 | ×0.985 | 0.93% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.985 | 0.00% |
Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.050.
Result: wOBA .296 → .198; ISO .085 → .052; BABIP .313 → .212. 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 — .