J.V. Martinez
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 20 | ACIN | 507 | .238/.329/.361 | 8 | 1 | 44 | — | .180/.250/.268 |
| 2021 | 22 | A+/INTL2 orgs | 330 | .252/.327/.398 | 7 | 0 | 60 | — | .203/.267/.337 |
| 2022 | 23 | A+CIN | 208 | .249/.314/.402 | 4 | 1 | 40 | — | .186/.237/.289 |
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) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK | DSL Rojos | — | 82 | 64 | 18 | 5 | 0 | 0 | 9 | 13 | 7 | 0 | 1 | 281 | 425 | 359 | 784 | 78 | 340 | 16 | 11 | 361 | 56 | — | — | — | — | — | — |
| 2017 | 18 | ROK | AZL Reds | — | 164 | 141 | 31 | 10 | 1 | 0 | 13 | 43 | 9 | 2 | 1 | 220 | 325 | 305 | 630 | 85 | 313 | 26 | 8 | 294 | 24 | — | — | — | — | — | — |
| 2018 | 19 | ROK | Billings Mustangs | — | 216 | 189 | 51 | 10 | 1 | 8 | 20 | 44 | 2 | 0 | 1 | 270 | 346 | 460 | 806 | 190 | 307 | 20 | 9 | 349 | 58 | — | — | — | — | — | — |
| 2019 | 20 | A | Dayton Dragons | — | 507 | 441 | 105 | 22 | 4 | 8 | 51 | 112 | 10 | 1 | 2 | 238 | 329 | 361 | 689 | 122 | 301 | 22 | 10 | 313 | 44 | — | — | — | — | — | — |
| 2021 | 22 | A+ | Dayton Dragons | — | 303 | 269 | 68 | 16 | 3 | 7 | 25 | 64 | 6 | 0 | 0 | 253 | 330 | 413 | 743 | 160 | 303 | 21 | 8 | 329 | 60 | — | — | — | — | — | — |
| 2021 | 22 | INTL | Bravos de Margarita | — | 27 | 25 | 6 | 0 | 0 | 0 | 0 | 9 | 2 | 0 | 0 | 240 | 296 | 240 | 536 | 375 | 33 | 0 | 256 | 59 | — | — | — | — | — | — | |
| 2022 | 23 | A+ | Dayton Dragons | — | 208 | 189 | 47 | 15 | 1 | 4 | 15 | 57 | 3 | 1 | 0 | 249 | 314 | 402 | 716 | 153 | 333 | 27 | 7 | 319 | 40 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2016 | 17 | ROK MLE | DSL Rojos | — | 82 | 67 | 12 | 3 | 0 | 0 | 6 | 16 | 7 | 0 | 1 | 179 | 312 | 224 | 536 | 45 | 219 | 20 | 7 | 251 | 56 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Reds | — | 164 | 146 | 23 | 7 | 1 | 0 | 8 | 62 | 9 | 2 | 1 | 158 | 245 | 219 | 465 | 62 | 256 | 38 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Billings Mustangs | — | 216 | 197 | 40 | 7 | 1 | 6 | 12 | 63 | 2 | 0 | 1 | 203 | 256 | 340 | 596 | 137 | 251 | 29 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | Dayton Dragons | — | 507 | 462 | 83 | 17 | 3 | 6 | 33 | 160 | 10 | 1 | 2 | 180 | 250 | 268 | 518 | 89 | 257 | 32 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | Dayton Dragons | — | 303 | 276 | 56 | 13 | 3 | 6 | 18 | 88 | 6 | 0 | 0 | 203 | 267 | 337 | 604 | 134 | 261 | 29 | 6 | 257 | 60 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Dayton Dragons | — | 208 | 194 | 36 | 9 | 1 | 3 | 10 | 69 | 3 | 1 | 0 | 186 | 237 | 289 | 525 | 103 | 262 | 33 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Rojos | — | 82 | 67 | 12 | 3 | 0 | 0 | 6 | 16 | 7 | 0 | 1 | 179 | 312 | 224 | 536 | 45 | 226 | 20 | 7 | 251 | 56 | — | — | — | — | — | — |
| 2016 | 17 | ROK RAW | DSL Rojos | — | 82 | 64 | 18 | 5 | 0 | 0 | 9 | 13 | 7 | 0 | 1 | 281 | 425 | 359 | 784 | 78 | 340 | 16 | 11 | 361 | 56 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Reds | — | 164 | 146 | 23 | 7 | 1 | 0 | 8 | 62 | 9 | 2 | 1 | 158 | 245 | 219 | 465 | 62 | 271 | 38 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2017 | 18 | ROK RAW | AZL Reds | — | 164 | 141 | 31 | 10 | 1 | 0 | 13 | 43 | 9 | 2 | 1 | 220 | 325 | 305 | 630 | 85 | 313 | 26 | 8 | 294 | 24 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Billings Mustangs | — | 216 | 197 | 40 | 7 | 1 | 6 | 12 | 63 | 2 | 0 | 1 | 203 | 256 | 340 | 596 | 137 | 260 | 29 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2018 | 19 | ROK RAW | Billings Mustangs | — | 216 | 189 | 51 | 10 | 1 | 8 | 20 | 44 | 2 | 0 | 1 | 270 | 346 | 460 | 806 | 190 | 307 | 20 | 9 | 349 | 58 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | Dayton Dragons | — | 507 | 462 | 83 | 17 | 3 | 6 | 33 | 160 | 10 | 1 | 2 | 180 | 250 | 268 | 518 | 89 | 259 | 32 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2019 | 20 | A RAW | Dayton Dragons | — | 507 | 441 | 105 | 22 | 4 | 8 | 51 | 112 | 10 | 1 | 2 | 238 | 329 | 361 | 689 | 122 | 301 | 22 | 10 | 313 | 44 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 330 | 300 | 61 | 14 | 3 | 6 | 19 | 95 | 8 | 0 | 0 | 203 | 269 | 330 | 599 | 127 | 272 | 29 | 6 | 257 | 60 | — | — | — | — | — | — |
| 2021 | 22 | A+ RAW | 2 teams | — | 330 | 294 | 74 | 16 | 3 | 7 | 25 | 73 | 8 | 0 | 0 | 252 | 327 | 398 | 725 | 146 | 309 | 22 | 8 | 323 | 60 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Dayton Dragons | — | 208 | 194 | 36 | 9 | 1 | 3 | 10 | 69 | 3 | 1 | 0 | 186 | 237 | 289 | 525 | 103 | 268 | 33 | 5 | 228 | 40 | — | — | — | — | — | — |
| 2022 | 23 | A+ RAW | Dayton Dragons | — | 208 | 189 | 47 | 15 | 1 | 4 | 15 | 57 | 3 | 1 | 0 | 249 | 314 | 402 | 716 | 153 | 333 | 27 | 7 | 319 | 40 | — | — | — | — | — | — |
| 2016 | 17 | ROK MLE | DSL Rojos | — | 82 | 69 | 12 | 3 | 0 | 0 | 6 | 16 | 7 | 0 | 1 | 174 | 312 | 217 | 530 | 43 | 219 | 20 | 7 | 251 | 56 | — | — | — | — | — | — |
| 2017 | 18 | ROK MLE | AZL Reds | — | 164 | 146 | 23 | 7 | 1 | 0 | 8 | 62 | 9 | 2 | 1 | 158 | 245 | 219 | 465 | 62 | 256 | 38 | 5 | 203 | 24 | — | — | — | — | — | — |
| 2018 | 19 | ROK MLE | Billings Mustangs | — | 216 | 200 | 40 | 7 | 1 | 6 | 12 | 63 | 2 | 0 | 1 | 200 | 256 | 335 | 591 | 135 | 251 | 29 | 6 | 254 | 58 | — | — | — | — | — | — |
| 2019 | 20 | A MLE | Dayton Dragons | — | 507 | 459 | 83 | 17 | 3 | 6 | 33 | 160 | 10 | 1 | 2 | 181 | 250 | 270 | 520 | 89 | 257 | 32 | 7 | 233 | 44 | — | — | — | — | — | — |
| 2021 | 22 | A+ MLE | 2 teams | — | 330 | 300 | 61 | 14 | 3 | 6 | 19 | 95 | 8 | 0 | 0 | 203 | 269 | 330 | 599 | 127 | 261 | 29 | 6 | 257 | 60 | — | — | — | — | — | — |
| 2022 | 23 | A+ MLE | Dayton Dragons | — | 208 | 193 | 36 | 9 | 1 | 3 | 10 | 69 | 3 | 1 | 0 | 187 | 237 | 290 | 527 | 104 | 262 | 33 | 5 | 228 | 40 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 1507 | 1366 | 255 | 57 | 9 | 21 | 88 | 465 | 39 | 4 | 5 | 187 | 256 | 288 | 544 | 101 | 263 | 31 | 6 | 238 | 47 | -94 | -1 | +0 | +5 | +33 | -5.9 | |
| / 162G | — | MLE | — | 650 | 589 | 110 | 25 | 4 | 9 | 38 | 201 | 17 | 2 | 2 | 187 | 256 | 289 | 545 | 102 | 263 | 31 | 6 | 238 | 47 | -41 | -0 | +0 | +2 | +14 | -2.5 | |
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.
2022 A+Dayton Dragons · 208 PAwOBA .310 → .228 (−82)K% 27.4% → 33.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.40% | ÷1.047 | ×1.270 | — | — | 33.23% |
| BB% (unintentional) /PA | 6.73% | ÷0.958 | ×0.710 | — | ×0.988 | 4.93% |
| HBP% /PA | 1.44% | — | ×0.790 | — | ×0.988 | 1.13% |
| Singles /BIP | 20.45% | ÷1.002 | ×0.920 | ×0.968 | ×0.988 | 17.95% |
| Doubles /BIP | 11.36% | ÷1.217 | ×0.810 | ×0.968 | ×0.988 | 7.23% |
| Triples /BIP | 0.76% | ÷1.028 | ×0.850 | ×0.968 | ×0.988 | 0.60% |
| Home runs /BIP | 3.03% | ÷1.058 | ×0.800 | — | ×0.988 | 2.26% |
Factors used: league row Midwest League. Park (home-season share, regressed): HR 112, 1B 100, 2B 143, 3B 106, K 109, BB 92 — 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 ×0.968.
Result: wOBA .310 → .228; ISO .153 → .102; BABIP .333 → .262. 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).
2021 A+Dayton Dragons · 303 PAwOBA .324 → .257 (−67)K% 21.1% → 28.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 21.12% | ÷0.986 | ×1.350 | — | — | 28.92% |
| BB% (unintentional) /PA | 8.25% | ÷1.008 | ×0.710 | — | ×0.998 | 5.80% |
| HBP% /PA | 1.98% | — | ×0.810 | — | ×0.998 | 1.60% |
| Singles /BIP | 20.49% | ÷1.061 | ×0.910 | ×1.018 | ×0.998 | 17.85% |
| Doubles /BIP | 7.80% | ÷1.011 | ×0.830 | ×1.018 | ×0.998 | 6.51% |
| Triples /BIP | 1.46% | ÷0.900 | ×0.820 | ×1.018 | ×0.998 | 1.35% |
| Home runs /BIP | 3.41% | ÷0.960 | ×0.830 | — | ×0.998 | 2.95% |
Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 92, 1B 112, 2B 102, 3B 80, K 97, BB 102 — 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 ×1.018.
Result: wOBA .324 → .257; ISO .160 → .130; BABIP .303 → .261. 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 ADayton Dragons · 507 PAwOBA .305 → .233 (−71)K% 22.1% → 31.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 22.09% | ÷0.953 | ×1.360 | — | — | 31.53% |
| BB% (unintentional) /PA | 9.86% | ÷1.044 | ×0.690 | — | ×1.015 | 6.61% |
| HBP% /PA | 1.97% | — | ×0.780 | — | ×1.015 | 1.56% |
| Singles /BIP | 21.58% | ÷1.033 | ×0.920 | ×0.950 | ×1.015 | 18.54% |
| Doubles /BIP | 6.69% | ÷0.950 | ×0.830 | ×0.950 | ×1.015 | 5.63% |
| Triples /BIP | 1.22% | ÷1.024 | ×0.910 | ×0.950 | ×1.015 | 1.04% |
| Home runs /BIP | 2.43% | ÷0.950 | ×0.800 | — | ×1.015 | 2.08% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 107, 2B 90, 3B 105, K 91, BB 109 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.
Result: wOBA .305 → .233; ISO .122 → .097; BABIP .301 → .257. 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 ROKBillings Mustangs · 216 PAwOBA .345 → .254 (−91)K% 20.4% → 29.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.37% | ÷1.000 | ×1.440 | — | — | 29.33% |
| BB% (unintentional) /PA | 9.26% | ÷1.000 | ×0.610 | — | ×0.995 | 5.62% |
| HBP% /PA | 0.93% | — | ×0.720 | — | ×0.995 | 0.66% |
| Singles /BIP | 22.07% | ÷1.000 | ×0.820 | ×1.050 | ×0.995 | 18.91% |
| Doubles /BIP | 6.90% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 5.19% |
| Triples /BIP | 0.69% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 0.52% |
| Home runs /BIP | 5.52% | ÷1.000 | ×0.750 | — | ×0.995 | 4.12% |
Factors used: league row PIO. 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 .345 → .254; ISO .190 → .137; BABIP .307 → .251. 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 ROKAZL Reds · 164 PAwOBA .286 → .203 (−83)K% 26.2% → 37.8%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.22% | ÷1.000 | ×1.440 | — | — | 37.76% |
| BB% (unintentional) /PA | 7.32% | ÷1.000 | ×0.620 | — | ×1.008 | 4.57% |
| HBP% /PA | 5.49% | — | ×0.720 | — | ×1.008 | 3.98% |
| Singles /BIP | 20.41% | ÷1.000 | ×0.820 | ×1.036 | ×1.008 | 17.46% |
| Doubles /BIP | 10.20% | ÷1.000 | ×0.720 | ×1.036 | ×1.008 | 7.67% |
| Triples /BIP | 1.02% | ÷1.000 | ×0.720 | ×1.036 | ×1.008 | 0.77% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.780 | — | ×1.008 | 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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.
Result: wOBA .286 → .203; ISO .085 → .057; BABIP .313 → .256. 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 DSLDSL Rojos · 82 PAwOBA .362 → .251 (−111)K% 15.9% → 19.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 15.85% | ÷1.000 | ×1.220 | — | — | 19.34% |
| BB% (unintentional) /PA | 10.98% | ÷1.000 | ×0.700 | — | ×1.008 | 7.74% |
| HBP% /PA | 8.54% | — | ×0.700 | — | ×1.008 | 6.02% |
| Singles /BIP | 25.49% | ÷1.000 | ×0.680 | ×0.971 | ×1.008 | 16.96% |
| Doubles /BIP | 9.80% | ÷1.000 | ×0.600 | ×0.971 | ×1.008 | 5.76% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×0.971 | ×1.008 | 0.00% |
| 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 ×0.971.
Result: wOBA .362 → .251; ISO .078 → .049; BABIP .340 → .219. 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 — .