Andy Sugilio
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2018 | 21 | ACIN | 387 | .278/.312/.380 | 5 | 12 | 61 | — | .246/.268/.332 |
| 2019 | 22 | A+CIN | 485 | .294/.332/.360 | 3 | 23 | 51 | — | .235/.266/.281 |
| 2021 | 24 | AASF | 167 | .250/.309/.303 | 1 | 5 | 52 | — | .237/.279/.282 |
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) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK | DSL Rojos | — | 174 | 158 | 41 | 2 | 2 | 0 | 12 | 32 | 1 | 4 | 5 | 259 | 316 | 297 | 613 | 38 | 323 | 18 | 7 | 278 | 15 | — | — | — | — | — | — |
| 2015 | 18 | ROK | DSL Reds | — | 260 | 228 | 62 | 10 | 8 | 1 | 25 | 34 | 1 | 8 | 4 | 272 | 346 | 399 | 746 | 127 | 311 | 13 | 10 | 327 | 37 | — | — | — | — | — | — |
| 2016 | 19 | ROK | AZL Reds | — | 116 | 104 | 23 | 3 | 2 | 0 | 8 | 27 | 2 | 6 | 0 | 221 | 289 | 288 | 578 | 67 | 295 | 23 | 7 | 262 | 13 | — | — | — | — | — | — |
| 2017 | 20 | ROK | Billings Mustangs | — | 254 | 235 | 81 | 13 | 4 | 3 | 17 | 33 | 1 | 20 | 4 | 345 | 391 | 472 | 864 | 128 | 390 | 13 | 7 | 383 | 79 | — | — | — | — | — | — |
| 2018 | 21 | A | Dayton Dragons | — | 387 | 363 | 101 | 14 | 4 | 5 | 17 | 61 | 1 | 12 | 7 | 278 | 312 | 380 | 693 | 102 | 318 | 16 | 4 | 305 | 61 | — | — | — | — | — | — |
| 2019 | 22 | A+ | Daytona Tortugas | — | 485 | 456 | 134 | 11 | 5 | 3 | 24 | 92 | 2 | 23 | 11 | 294 | 332 | 360 | 692 | 66 | 361 | 19 | 5 | 311 | 51 | — | — | — | — | — | — |
| 2021 | 24 | AA | Richmond Flying Squirrels | — | 167 | 152 | 38 | 5 | 0 | 1 | 11 | 41 | 2 | 5 | 3 | 250 | 309 | 303 | 612 | 53 | 333 | 25 | 7 | 279 | 52 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK MLE | DSL Rojos | — | 174 | 162 | 28 | 1 | 1 | 0 | 8 | 39 | 1 | 4 | 5 | 173 | 216 | 191 | 408 | 19 | 227 | 22 | 5 | 190 | 15 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Reds | — | 260 | 236 | 42 | 6 | 5 | 0 | 17 | 42 | 1 | 8 | 4 | 178 | 236 | 246 | 482 | 68 | 212 | 16 | 7 | 223 | 37 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Reds | — | 116 | 107 | 17 | 2 | 1 | 0 | 5 | 39 | 2 | 6 | 0 | 159 | 211 | 196 | 407 | 37 | 246 | 34 | 4 | 188 | 13 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | Billings Mustangs | — | 254 | 242 | 64 | 9 | 3 | 2 | 10 | 47 | 1 | 20 | 4 | 264 | 296 | 351 | 648 | 87 | 320 | 19 | 4 | 285 | 79 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Dayton Dragons | — | 387 | 370 | 91 | 12 | 4 | 4 | 10 | 84 | 1 | 12 | 7 | 246 | 268 | 332 | 600 | 86 | 297 | 22 | 3 | 259 | 61 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Daytona Tortugas | — | 485 | 463 | 109 | 9 | 3 | 2 | 17 | 132 | 2 | 23 | 11 | 235 | 266 | 281 | 546 | 45 | 321 | 27 | 4 | 243 | 51 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Richmond Flying Squirrels | — | 167 | 156 | 37 | 4 | 0 | 1 | 7 | 50 | 2 | 5 | 3 | 237 | 279 | 282 | 561 | 45 | 330 | 30 | 4 | 245 | 52 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Rojos | — | 174 | 162 | 28 | 1 | 1 | 0 | 8 | 39 | 1 | 4 | 5 | 173 | 216 | 191 | 408 | 19 | 226 | 22 | 5 | 190 | 15 | — | — | — | — | — | — |
| 2014 | 17 | ROK RAW | DSL Rojos | — | 174 | 158 | 41 | 2 | 2 | 0 | 12 | 32 | 1 | 4 | 5 | 259 | 316 | 297 | 613 | 38 | 323 | 18 | 7 | 278 | 15 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Reds | — | 260 | 236 | 42 | 6 | 5 | 0 | 17 | 42 | 1 | 8 | 4 | 178 | 236 | 246 | 482 | 68 | 213 | 16 | 7 | 223 | 37 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | DSL Reds | — | 260 | 228 | 62 | 10 | 8 | 1 | 25 | 34 | 1 | 8 | 4 | 272 | 346 | 399 | 746 | 127 | 311 | 13 | 10 | 327 | 37 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Reds | — | 116 | 107 | 17 | 2 | 1 | 0 | 5 | 39 | 2 | 6 | 0 | 159 | 211 | 196 | 407 | 37 | 246 | 34 | 4 | 188 | 13 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | AZL Reds | — | 116 | 104 | 23 | 3 | 2 | 0 | 8 | 27 | 2 | 6 | 0 | 221 | 289 | 288 | 578 | 67 | 295 | 23 | 7 | 262 | 13 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | Billings Mustangs | — | 254 | 242 | 64 | 9 | 3 | 2 | 10 | 47 | 1 | 20 | 4 | 264 | 296 | 351 | 648 | 87 | 320 | 19 | 4 | 285 | 79 | — | — | — | — | — | — |
| 2017 | 20 | ROK RAW | Billings Mustangs | — | 254 | 235 | 81 | 13 | 4 | 3 | 17 | 33 | 1 | 20 | 4 | 345 | 391 | 472 | 864 | 128 | 390 | 13 | 7 | 383 | 79 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Dayton Dragons | — | 387 | 370 | 91 | 12 | 4 | 4 | 10 | 84 | 1 | 12 | 7 | 246 | 268 | 332 | 600 | 86 | 303 | 22 | 3 | 259 | 61 | — | — | — | — | — | — |
| 2018 | 21 | A RAW | Dayton Dragons | — | 387 | 363 | 101 | 14 | 4 | 5 | 17 | 61 | 1 | 12 | 7 | 278 | 312 | 380 | 693 | 102 | 318 | 16 | 4 | 305 | 61 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Daytona Tortugas | — | 485 | 463 | 109 | 9 | 3 | 2 | 17 | 132 | 2 | 23 | 11 | 235 | 266 | 281 | 546 | 45 | 323 | 27 | 4 | 243 | 51 | — | — | — | — | — | — |
| 2019 | 22 | A+ RAW | Daytona Tortugas | — | 485 | 456 | 134 | 11 | 5 | 3 | 24 | 92 | 2 | 23 | 11 | 294 | 332 | 360 | 692 | 66 | 361 | 19 | 5 | 311 | 51 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Richmond Flying Squirrels | — | 167 | 156 | 37 | 4 | 0 | 1 | 7 | 50 | 2 | 5 | 3 | 237 | 279 | 282 | 561 | 45 | 340 | 30 | 4 | 245 | 52 | — | — | — | — | — | — |
| 2021 | 24 | AA RAW | Richmond Flying Squirrels | — | 167 | 152 | 38 | 5 | 0 | 1 | 11 | 41 | 2 | 5 | 3 | 250 | 309 | 303 | 612 | 53 | 333 | 25 | 7 | 279 | 52 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Rojos | — | 174 | 163 | 28 | 1 | 1 | 0 | 8 | 39 | 1 | 4 | 5 | 172 | 216 | 190 | 407 | 18 | 227 | 22 | 5 | 190 | 15 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Reds | — | 260 | 240 | 42 | 6 | 5 | 0 | 17 | 42 | 1 | 8 | 4 | 175 | 236 | 242 | 478 | 67 | 212 | 16 | 7 | 223 | 37 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | AZL Reds | — | 116 | 108 | 17 | 2 | 1 | 0 | 5 | 39 | 2 | 6 | 0 | 157 | 211 | 194 | 405 | 37 | 246 | 34 | 4 | 188 | 13 | — | — | — | — | — | — |
| 2017 | 20 | ROK MLE | Billings Mustangs | — | 254 | 241 | 64 | 9 | 3 | 2 | 10 | 47 | 1 | 20 | 4 | 266 | 296 | 353 | 649 | 87 | 320 | 19 | 4 | 285 | 79 | — | — | — | — | — | — |
| 2018 | 21 | A MLE | Dayton Dragons | — | 387 | 373 | 91 | 12 | 4 | 4 | 10 | 84 | 1 | 12 | 7 | 244 | 268 | 330 | 597 | 86 | 297 | 22 | 3 | 259 | 61 | — | — | — | — | — | — |
| 2019 | 22 | A+ MLE | Daytona Tortugas | — | 485 | 463 | 109 | 9 | 3 | 2 | 17 | 132 | 2 | 23 | 11 | 235 | 266 | 281 | 546 | 45 | 321 | 27 | 4 | 243 | 51 | — | — | — | — | — | — |
| 2021 | 24 | AA MLE | Richmond Flying Squirrels | — | 167 | 156 | 37 | 4 | 0 | 1 | 7 | 50 | 2 | 5 | 3 | 237 | 279 | 282 | 561 | 45 | 330 | 30 | 4 | 245 | 52 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1843 | 1736 | 388 | 43 | 17 | 9 | 74 | 433 | 10 | 78 | 34 | 224 | 259 | 283 | 543 | 60 | 290 | 23 | 4 | 241 | 49 | -111 | +2 | +0 | +7 | +40 | -6.4 | |
| / 162G | — | MLE | — | 650 | 612 | 137 | 15 | 6 | 3 | 26 | 153 | 4 | 28 | 12 | 224 | 260 | 283 | 543 | 59 | 291 | 24 | 4 | 241 | 49 | -39 | +1 | +0 | +2 | +14 | -2.2 | |
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.
2021 AARichmond Flying Squirrels · 167 PAwOBA .274 → .245 (−29)K% 24.6% → 29.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.55% | ÷1.004 | ×1.220 | — | — | 29.84% |
| BB% (unintentional) /PA | 6.59% | ÷1.134 | ×0.690 | — | ×0.998 | 4.00% |
| HBP% /PA | 1.20% | — | ×0.850 | — | ×0.998 | 1.02% |
| Singles /BIP | 28.83% | ÷0.970 | ×0.940 | ×1.050 | ×0.998 | 29.28% |
| Doubles /BIP | 4.50% | ÷1.098 | ×0.870 | ×1.050 | ×0.998 | 3.74% |
| Triples /BIP | 0.00% | ÷1.150 | ×0.920 | ×1.050 | ×0.998 | 0.00% |
| Home runs /BIP | 0.90% | ÷0.923 | ×0.780 | — | ×0.998 | 0.76% |
Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 94, 2B 120, 3B 130, K 101, BB 127 — 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 ×1.050.
Result: wOBA .274 → .245; ISO .053 → .043; BABIP .333 → .330. 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).
2019 A+Daytona Tortugas · 485 PAwOBA .303 → .243 (−60)K% 19.0% → 27.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.97% | ÷0.985 | ×1.420 | — | — | 27.35% |
| BB% (unintentional) /PA | 4.74% | ÷1.016 | ×0.750 | — | ×0.998 | 3.49% |
| HBP% /PA | 0.41% | — | ×0.930 | — | ×0.998 | 0.38% |
| Singles /BIP | 31.59% | ÷0.965 | ×0.920 | ×0.950 | ×0.998 | 28.55% |
| Doubles /BIP | 3.02% | ÷1.042 | ×0.960 | ×0.950 | ×0.998 | 2.64% |
| Triples /BIP | 1.37% | ÷1.150 | ×0.810 | ×0.950 | ×0.998 | 0.92% |
| Home runs /BIP | 0.82% | ÷1.101 | ×0.880 | — | ×0.998 | 0.66% |
Factors used: league row FSL. Park (home-season share, regressed): HR 120, 1B 93, 2B 108, 3B 130, K 97, BB 103 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .303 → .243; ISO .066 → .047; BABIP .361 → .321. 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).
2018 ADayton Dragons · 387 PAwOBA .300 → .259 (−41)K% 15.8% → 21.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.76% | ÷0.987 | ×1.360 | — | — | 21.71% |
| BB% (unintentional) /PA | 4.13% | ÷1.097 | ×0.690 | — | — | 2.60% |
| HBP% /PA | 0.26% | — | ×0.780 | — | — | 0.20% |
| Singles /BIP | 25.83% | ÷1.019 | ×0.920 | ×1.038 | — | 24.22% |
| Doubles /BIP | 4.64% | ÷0.942 | ×0.830 | ×1.038 | — | 4.24% |
| Triples /BIP | 1.32% | ÷0.900 | ×0.910 | ×1.038 | — | 1.39% |
| Home runs /BIP | 1.66% | ÷1.103 | ×0.800 | — | — | 1.20% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 121, 1B 104, 2B 88, 3B 80, K 97, BB 119 — 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 ×1.038.
Result: wOBA .300 → .259; ISO .102 → .085; BABIP .318 → .297. 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 ROKBillings Mustangs · 254 PAwOBA .373 → .285 (−88)K% 13.0% → 18.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 12.99% | ÷1.000 | ×1.440 | — | — | 18.71% |
| BB% (unintentional) /PA | 6.30% | ÷1.000 | ×0.610 | — | ×0.985 | 3.78% |
| HBP% /PA | 0.39% | — | ×0.720 | — | ×0.985 | 0.28% |
| Singles /BIP | 30.20% | ÷1.000 | ×0.820 | ×1.048 | ×0.985 | 25.56% |
| Doubles /BIP | 6.44% | ÷1.000 | ×0.720 | ×1.048 | ×0.985 | 4.78% |
| Triples /BIP | 1.98% | ÷1.000 | ×0.720 | ×1.048 | ×0.985 | 1.47% |
| Home runs /BIP | 1.49% | ÷1.000 | ×0.750 | — | ×0.985 | 1.10% |
Factors used: league row PIO. 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 ×1.048.
Result: wOBA .373 → .285; ISO .128 → .092; BABIP .390 → .320. 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 ROKAZL Reds · 116 PAwOBA .258 → .188 (−70)K% 23.3% → 33.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 23.28% | ÷1.000 | ×1.440 | — | — | 33.52% |
| BB% (unintentional) /PA | 6.90% | ÷1.000 | ×0.620 | — | ×0.995 | 4.25% |
| HBP% /PA | 1.72% | — | ×0.720 | — | ×0.995 | 1.24% |
| Singles /BIP | 23.38% | ÷1.000 | ×0.820 | ×1.050 | ×0.995 | 20.03% |
| Doubles /BIP | 3.90% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 2.93% |
| Triples /BIP | 2.60% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 1.95% |
| Home runs /BIP | 0.00% | ÷1.000 | ×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): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.
Result: wOBA .258 → .188; ISO .067 → .047; BABIP .295 → .246. 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 Reds · 260 PAwOBA .322 → .223 (−99)K% 13.1% → 16.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.08% | ÷1.000 | ×1.220 | — | — | 15.95% |
| BB% (unintentional) /PA | 9.62% | ÷1.000 | ×0.700 | — | ×0.995 | 6.70% |
| HBP% /PA | 0.38% | — | ×0.700 | — | ×0.995 | 0.27% |
| Singles /BIP | 22.16% | ÷1.000 | ×0.680 | ×1.048 | ×0.995 | 15.71% |
| Doubles /BIP | 5.15% | ÷1.000 | ×0.600 | ×1.048 | ×0.995 | 3.22% |
| Triples /BIP | 4.12% | ÷1.000 | ×0.600 | ×1.048 | ×0.995 | 2.58% |
| Home runs /BIP | 0.52% | ÷1.000 | ×0.470 | — | ×0.995 | 0.24% |
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 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.
Result: wOBA .322 → .223; ISO .127 → .080; BABIP .311 → .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).
2014 DSLDSL Rojos · 174 PAwOBA .270 → .190 (−80)K% 18.4% → 22.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 18.39% | ÷1.000 | ×1.220 | — | — | 22.44% |
| BB% (unintentional) /PA | 6.32% | ÷1.000 | ×0.700 | — | ×1.008 | 4.46% |
| HBP% /PA | 0.57% | — | ×0.700 | — | ×1.008 | 0.41% |
| Singles /BIP | 29.37% | ÷1.000 | ×0.680 | ×1.040 | ×1.008 | 20.93% |
| Doubles /BIP | 1.59% | ÷1.000 | ×0.600 | ×1.040 | ×1.008 | 1.00% |
| Triples /BIP | 1.59% | ÷1.000 | ×0.600 | ×1.040 | ×1.008 | 1.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×1.008 | 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.
Result: wOBA .270 → .190; ISO .038 → .024; BABIP .323 → .227. 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).