Hector Martinez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2016 | 19 | ROKGCL Tigers We… | 160 | .310/.367/.352 | 0 | 7 | 48 | — | .236/.285/.270 |
| 2018 | 21 | ROKGCL Tigers We… | 104 | .366/.385/.624 | 3 | 5 | 77 | — | .245/.260/.412 |
| 2019 | 22 | ADET | 83 | .195/.244/.351 | 3 | 0 | 28 | — | .154/.195/.269 |
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 Tigers | — | 195 | 181 | 49 | 15 | 1 | 2 | 7 | 47 | 5 | 4 | 6 | 271 | 316 | 398 | 714 | 127 | 356 | 24 | 4 | 316 | 19 | — | — | — | — | — | — |
| 2015 | 18 | ROK | DSL Tigers | — | 241 | 223 | 75 | 11 | 6 | 5 | 9 | 41 | 7 | 5 | 8 | 336 | 381 | 507 | 887 | 170 | 391 | 17 | 4 | 388 | 51 | — | — | — | — | — | — |
| 2016 | 19 | ROK | GCL Tigers West | — | 160 | 145 | 45 | 4 | 1 | 0 | 8 | 35 | 5 | 7 | 7 | 310 | 367 | 352 | 719 | 41 | 409 | 22 | 5 | 326 | 48 | — | — | — | — | — | — |
| 2018 | 21 | ROK | GCL Tigers West | — | 104 | 101 | 37 | 11 | 3 | 3 | 2 | 27 | 1 | 5 | 1 | 366 | 385 | 624 | 1.008 | 257 | 479 | 26 | 2 | 437 | 77 | — | — | — | — | — | — |
| 2019 | 22 | A | West Michigan Whitecaps | — | 83 | 77 | 15 | 3 | 0 | 3 | 2 | 23 | 3 | 0 | 0 | 195 | 244 | 351 | 595 | 156 | 231 | 28 | 2 | 263 | 28 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2014 | 17 | ROK MLE | DSL Tigers | — | 195 | 183 | 32 | 9 | 1 | 1 | 5 | 57 | 5 | 4 | 6 | 175 | 218 | 251 | 469 | 77 | 237 | 29 | 3 | 196 | 19 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Tigers | — | 241 | 226 | 49 | 7 | 4 | 2 | 6 | 50 | 7 | 5 | 8 | 217 | 259 | 310 | 569 | 93 | 259 | 21 | 2 | 244 | 51 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Tigers West | — | 160 | 148 | 35 | 3 | 1 | 0 | 5 | 50 | 5 | 7 | 7 | 236 | 285 | 270 | 555 | 34 | 346 | 31 | 3 | 239 | 48 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | GCL Tigers West | — | 104 | 102 | 25 | 7 | 2 | 2 | 1 | 39 | 1 | 5 | 1 | 245 | 260 | 412 | 671 | 167 | 376 | 38 | 1 | 282 | 77 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | West Michigan Whitecaps | — | 83 | 78 | 12 | 3 | 0 | 2 | 1 | 29 | 3 | 0 | 0 | 154 | 195 | 269 | 464 | 115 | 206 | 35 | 1 | 210 | 28 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Tigers | — | 195 | 183 | 32 | 9 | 1 | 1 | 5 | 57 | 5 | 4 | 6 | 175 | 218 | 251 | 469 | 77 | 248 | 29 | 3 | 196 | 19 | — | — | — | — | — | — |
| 2014 | 17 | ROK RAW | DSL Tigers | — | 195 | 181 | 49 | 15 | 1 | 2 | 7 | 47 | 5 | 4 | 6 | 271 | 316 | 398 | 714 | 127 | 356 | 24 | 4 | 316 | 19 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Tigers | — | 241 | 226 | 49 | 7 | 4 | 2 | 6 | 50 | 7 | 5 | 8 | 217 | 259 | 310 | 569 | 93 | 267 | 21 | 2 | 244 | 51 | — | — | — | — | — | — |
| 2015 | 18 | ROK RAW | DSL Tigers | — | 241 | 223 | 75 | 11 | 6 | 5 | 9 | 41 | 7 | 5 | 8 | 336 | 381 | 507 | 887 | 170 | 391 | 17 | 4 | 388 | 51 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Tigers West | — | 160 | 148 | 35 | 3 | 1 | 0 | 5 | 50 | 5 | 7 | 7 | 236 | 285 | 270 | 555 | 34 | 357 | 31 | 3 | 239 | 48 | — | — | — | — | — | — |
| 2016 | 19 | ROK RAW | GCL Tigers West | — | 160 | 145 | 45 | 4 | 1 | 0 | 8 | 35 | 5 | 7 | 7 | 310 | 367 | 352 | 719 | 41 | 409 | 22 | 5 | 326 | 48 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | GCL Tigers West | — | 104 | 102 | 25 | 7 | 2 | 2 | 1 | 39 | 1 | 5 | 1 | 245 | 260 | 412 | 671 | 167 | 377 | 38 | 1 | 282 | 77 | — | — | — | — | — | — |
| 2018 | 21 | ROK RAW | GCL Tigers West | — | 104 | 101 | 37 | 11 | 3 | 3 | 2 | 27 | 1 | 5 | 1 | 366 | 385 | 624 | 1.008 | 257 | 479 | 26 | 2 | 437 | 77 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | West Michigan Whitecaps | — | 83 | 78 | 12 | 3 | 0 | 2 | 1 | 29 | 3 | 0 | 0 | 154 | 195 | 269 | 464 | 115 | 208 | 35 | 1 | 210 | 28 | — | — | — | — | — | — |
| 2019 | 22 | A RAW | West Michigan Whitecaps | — | 83 | 77 | 15 | 3 | 0 | 3 | 2 | 23 | 3 | 0 | 0 | 195 | 244 | 351 | 595 | 156 | 231 | 28 | 2 | 263 | 28 | — | — | — | — | — | — |
| 2014 | 17 | ROK MLE | DSL Tigers | — | 195 | 183 | 32 | 9 | 1 | 1 | 5 | 57 | 5 | 4 | 6 | 175 | 218 | 251 | 469 | 77 | 237 | 29 | 3 | 196 | 19 | — | — | — | — | — | — |
| 2015 | 18 | ROK MLE | DSL Tigers | — | 241 | 226 | 49 | 7 | 4 | 2 | 6 | 50 | 7 | 5 | 8 | 217 | 259 | 310 | 569 | 93 | 259 | 21 | 2 | 244 | 51 | — | — | — | — | — | — |
| 2016 | 19 | ROK MLE | GCL Tigers West | — | 160 | 149 | 35 | 3 | 1 | 0 | 5 | 50 | 5 | 7 | 7 | 235 | 285 | 268 | 553 | 34 | 346 | 31 | 3 | 239 | 48 | — | — | — | — | — | — |
| 2018 | 21 | ROK MLE | GCL Tigers West | — | 104 | 101 | 25 | 7 | 2 | 2 | 1 | 39 | 1 | 5 | 1 | 248 | 260 | 416 | 675 | 168 | 376 | 38 | 1 | 282 | 77 | — | — | — | — | — | — |
| 2019 | 22 | A MLE | West Michigan Whitecaps | — | 83 | 79 | 12 | 3 | 0 | 2 | 1 | 29 | 3 | 0 | 0 | 152 | 195 | 266 | 461 | 114 | 206 | 35 | 1 | 210 | 28 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 783 | 737 | 153 | 29 | 8 | 7 | 18 | 225 | 21 | 21 | 22 | 208 | 247 | 297 | 545 | 90 | 287 | 29 | 2 | 232 | 43 | -53 | -5 | +0 | +3 | +17 | -3.8 | |
| / 162G | — | MLE | — | 650 | 612 | 127 | 24 | 7 | 6 | 15 | 187 | 17 | 17 | 18 | 208 | 247 | 299 | 546 | 92 | 287 | 29 | 2 | 232 | 43 | -44 | -4 | +0 | +2 | +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.
2019 AWest Michigan Whitecaps · 83 PAwOBA .259 → .210 (−48)K% 27.7% → 35.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.71% | ÷1.063 | ×1.360 | — | — | 35.46% |
| BB% (unintentional) /PA | 2.41% | ÷0.974 | ×0.690 | — | ×0.990 | 1.69% |
| HBP% /PA | 3.61% | — | ×0.780 | — | ×0.990 | 2.79% |
| Singles /BIP | 16.67% | ÷1.025 | ×0.920 | — | ×0.990 | 14.81% |
| Doubles /BIP | 5.56% | ÷0.885 | ×0.830 | — | ×0.990 | 5.16% |
| Triples /BIP | 0.00% | ÷0.904 | ×0.910 | — | ×0.990 | 0.00% |
| Home runs /BIP | 5.56% | ÷0.895 | ×0.800 | — | ×0.990 | 4.91% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 79, 1B 105, 2B 77, 3B 81, K 113, 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 .259 → .210; ISO .156 → .129; BABIP .231 → .206. 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 ROKGCL Tigers West · 104 PAwOBA .424 → .282 (−142)K% 26.0% → 37.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.96% | ÷1.000 | ×1.440 | — | — | 37.38% |
| BB% (unintentional) /PA | 1.92% | ÷1.000 | ×0.620 | — | ×0.975 | 1.16% |
| HBP% /PA | 0.96% | — | ×0.720 | — | ×0.975 | 0.68% |
| Singles /BIP | 27.03% | ÷1.000 | ×0.820 | ×1.044 | ×0.975 | 22.56% |
| Doubles /BIP | 14.86% | ÷1.000 | ×0.720 | ×1.044 | ×0.975 | 10.89% |
| Triples /BIP | 4.05% | ÷1.000 | ×0.720 | ×1.044 | ×0.975 | 2.97% |
| Home runs /BIP | 4.05% | ÷1.000 | ×0.780 | — | ×0.975 | 3.08% |
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 22 vs a level average of 19.5 → −2.5% on BB/HBP/hit rates (2.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.044.
Result: wOBA .424 → .282; ISO .257 → .163; BABIP .479 → .376. 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 ROKGCL Tigers West · 160 PAwOBA .318 → .239 (−79)K% 21.9% → 31.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.88% | ÷1.000 | ×1.440 | — | — | 31.50% |
| BB% (unintentional) /PA | 5.00% | ÷1.000 | ×0.620 | — | ×0.995 | 3.08% |
| HBP% /PA | 3.12% | — | ×0.720 | — | ×0.995 | 2.24% |
| Singles /BIP | 36.36% | ÷1.000 | ×0.820 | ×1.050 | ×0.995 | 31.15% |
| Doubles /BIP | 3.64% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 2.74% |
| Triples /BIP | 0.91% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 0.68% |
| 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 .318 → .239; ISO .041 → .029; BABIP .409 → .346. 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 Tigers · 241 PAwOBA .381 → .244 (−137)K% 17.0% → 20.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.01% | ÷1.000 | ×1.220 | — | — | 20.76% |
| BB% (unintentional) /PA | 3.73% | ÷1.000 | ×0.700 | — | ×0.995 | 2.60% |
| HBP% /PA | 2.90% | — | ×0.700 | — | ×0.995 | 2.02% |
| Singles /BIP | 29.12% | ÷1.000 | ×0.680 | ×1.025 | ×0.995 | 20.19% |
| Doubles /BIP | 6.04% | ÷1.000 | ×0.600 | ×1.025 | ×0.995 | 3.70% |
| Triples /BIP | 3.30% | ÷1.000 | ×0.600 | ×1.025 | ×0.995 | 2.02% |
| Home runs /BIP | 2.75% | ÷1.000 | ×0.470 | — | ×0.995 | 1.28% |
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 ×1.025.
Result: wOBA .381 → .244; ISO .170 → .093; BABIP .391 → .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).
2014 DSLDSL Tigers · 195 PAwOBA .308 → .196 (−112)K% 24.1% → 29.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 24.10% | ÷1.000 | ×1.220 | — | — | 29.41% |
| BB% (unintentional) /PA | 3.59% | ÷1.000 | ×0.700 | — | ×1.008 | 2.53% |
| HBP% /PA | 2.56% | — | ×0.700 | — | ×1.008 | 1.81% |
| Singles /BIP | 23.13% | ÷1.000 | ×0.680 | ×1.018 | ×1.008 | 16.14% |
| Doubles /BIP | 11.19% | ÷1.000 | ×0.600 | ×1.018 | ×1.008 | 6.89% |
| Triples /BIP | 0.75% | ÷1.000 | ×0.600 | ×1.018 | ×1.008 | 0.46% |
| Home runs /BIP | 1.49% | ÷1.000 | ×0.470 | — | ×1.008 | 0.71% |
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 ×1.018.
Result: wOBA .308 → .196; ISO .127 → .071; BABIP .356 → .237. 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).