Frank Veliz
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2019 | 19 | ROKFCL Tigers Ea… | 102 | .207/.303/.264 | 0 | 5 | 16 | — | .156/.232/.200 |
| 2021 | 21 | ROKFCL Tigers We… | 178 | .228/.311/.329 | 2 | 4 | 16 | — | .157/.209/.229 |
| 2022 | 22 | A/ROKDET | 103 | .200/.294/.322 | 2 | 0 | 13 | — | .149/.216/.255 |
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) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK | DSL Tigers | — | 95 | 82 | 18 | 0 | 2 | 0 | 9 | 19 | 4 | 1 | 0 | 220 | 326 | 268 | 595 | 49 | 286 | 20 | 9 | 283 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK | DSL Tigers 2 | — | 236 | 206 | 58 | 7 | 1 | 1 | 18 | 40 | 8 | 16 | 7 | 282 | 362 | 340 | 702 | 58 | 339 | 17 | 8 | 320 | 30 | — | — | — | — | — | — |
| 2019 | 19 | ROK | FCL Tigers East | — | 102 | 87 | 18 | 3 | 1 | 0 | 8 | 18 | 4 | 5 | 1 | 207 | 303 | 264 | 567 | 57 | 254 | 18 | 8 | 261 | 16 | — | — | — | — | — | — |
| 2021 | 21 | ROK | FCL Tigers West | — | 178 | 158 | 36 | 6 | 2 | 2 | 18 | 48 | 1 | 4 | 3 | 228 | 311 | 329 | 640 | 101 | 312 | 27 | 10 | 292 | 16 | — | — | — | — | — | — |
| 2022 | 22 | A | Lakeland Flying Tigers | — | 60 | 53 | 11 | 3 | 1 | 1 | 5 | 21 | 1 | 0 | 0 | 208 | 288 | 358 | 647 | 151 | 323 | 35 | 8 | 287 | 18 | — | — | — | — | — | — |
| 2022 | 22 | ROK | FCL Tigers | — | 43 | 37 | 7 | 0 | 0 | 1 | 5 | 11 | 1 | 0 | 0 | 189 | 302 | 270 | 573 | 81 | 240 | 26 | 12 | 273 | 5 | — | — | — | — | — | — |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2017 | 17 | ROK MLE | DSL Tigers | — | 95 | 85 | 12 | 0 | 1 | 0 | 6 | 23 | 4 | 1 | 0 | 141 | 232 | 165 | 396 | 24 | 192 | 24 | 6 | 188 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | DSL Tigers 2 | — | 236 | 212 | 39 | 4 | 1 | 0 | 12 | 49 | 8 | 16 | 7 | 184 | 254 | 212 | 467 | 28 | 225 | 21 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | FCL Tigers East | — | 102 | 90 | 14 | 2 | 1 | 0 | 5 | 26 | 4 | 5 | 1 | 156 | 232 | 200 | 432 | 44 | 201 | 25 | 5 | 192 | 16 | — | — | — | — | — | — |
| 2021 | 21 | ROK MLE | FCL Tigers West | — | 178 | 166 | 26 | 4 | 1 | 2 | 10 | 68 | 1 | 4 | 3 | 157 | 209 | 229 | 438 | 72 | 245 | 38 | 6 | 192 | 16 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | Lakeland Flying Tigers | — | 60 | 55 | 9 | 2 | 1 | 1 | 3 | 29 | 1 | 0 | 0 | 164 | 220 | 291 | 511 | 127 | 281 | 48 | 5 | 195 | 18 | — | — | — | — | — | — |
| 2022 | 22 | ROK MLE | FCL Tigers | — | 43 | 39 | 5 | 0 | 0 | 1 | 3 | 16 | 1 | 0 | 0 | 128 | 209 | 205 | 414 | 77 | 185 | 37 | 7 | 176 | 5 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Tigers | — | 95 | 85 | 12 | 0 | 1 | 0 | 6 | 23 | 4 | 1 | 0 | 141 | 232 | 165 | 396 | 24 | 194 | 24 | 6 | 188 | 13 | — | — | — | — | — | — |
| 2017 | 17 | ROK RAW | DSL Tigers | — | 95 | 82 | 18 | 0 | 2 | 0 | 9 | 19 | 4 | 1 | 0 | 220 | 326 | 268 | 595 | 49 | 286 | 20 | 9 | 283 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | DSL Tigers 2 | — | 236 | 212 | 39 | 4 | 1 | 0 | 12 | 49 | 8 | 16 | 7 | 184 | 254 | 212 | 467 | 28 | 235 | 21 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2018 | 18 | ROK RAW | DSL Tigers 2 | — | 236 | 206 | 58 | 7 | 1 | 1 | 18 | 40 | 8 | 16 | 7 | 282 | 362 | 340 | 702 | 58 | 339 | 17 | 8 | 320 | 30 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | FCL Tigers East | — | 102 | 90 | 14 | 2 | 1 | 0 | 5 | 26 | 4 | 5 | 1 | 156 | 232 | 200 | 432 | 44 | 212 | 25 | 5 | 192 | 16 | — | — | — | — | — | — |
| 2019 | 19 | ROK RAW | FCL Tigers East | — | 102 | 87 | 18 | 3 | 1 | 0 | 8 | 18 | 4 | 5 | 1 | 207 | 303 | 264 | 567 | 57 | 254 | 18 | 8 | 261 | 16 | — | — | — | — | — | — |
| 2021 | 21 | ROK MLE | FCL Tigers West | — | 178 | 166 | 26 | 4 | 1 | 2 | 10 | 68 | 1 | 4 | 3 | 157 | 209 | 229 | 438 | 72 | 247 | 38 | 6 | 192 | 16 | — | — | — | — | — | — |
| 2021 | 21 | ROK RAW | FCL Tigers West | — | 178 | 158 | 36 | 6 | 2 | 2 | 18 | 48 | 1 | 4 | 3 | 228 | 311 | 329 | 640 | 101 | 312 | 27 | 10 | 292 | 16 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | 2 teams | — | 103 | 94 | 13 | 2 | 1 | 1 | 6 | 45 | 2 | 0 | 0 | 138 | 206 | 213 | 419 | 74 | 250 | 44 | 6 | 187 | 13 | — | — | — | — | — | — |
| 2022 | 22 | A RAW | 2 teams | — | 103 | 90 | 18 | 3 | 1 | 2 | 10 | 32 | 2 | 0 | 0 | 200 | 294 | 322 | 616 | 122 | 286 | 31 | 10 | 281 | 13 | — | — | — | — | — | — |
| 2017 | 17 | ROK MLE | DSL Tigers | — | 95 | 85 | 12 | 0 | 1 | 0 | 6 | 23 | 4 | 1 | 0 | 141 | 232 | 165 | 396 | 24 | 192 | 24 | 6 | 188 | 13 | — | — | — | — | — | — |
| 2018 | 18 | ROK MLE | DSL Tigers 2 | — | 236 | 214 | 39 | 4 | 1 | 0 | 12 | 49 | 8 | 16 | 7 | 182 | 254 | 210 | 465 | 28 | 225 | 21 | 5 | 212 | 30 | — | — | — | — | — | — |
| 2019 | 19 | ROK MLE | FCL Tigers East | — | 102 | 92 | 14 | 2 | 1 | 0 | 5 | 26 | 4 | 5 | 1 | 152 | 232 | 196 | 428 | 43 | 201 | 25 | 5 | 192 | 16 | — | — | — | — | — | — |
| 2021 | 21 | ROK MLE | FCL Tigers West | — | 178 | 165 | 26 | 4 | 1 | 2 | 10 | 68 | 1 | 4 | 3 | 158 | 209 | 230 | 439 | 73 | 245 | 38 | 6 | 192 | 16 | — | — | — | — | — | — |
| 2022 | 22 | A MLE | 2 teams | — | 103 | 94 | 13 | 2 | 1 | 1 | 6 | 45 | 2 | 0 | 0 | 138 | 206 | 213 | 419 | 74 | 241 | 44 | 6 | 187 | 13 | — | — | — | — | — | — |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 714 | 647 | 104 | 12 | 5 | 3 | 39 | 211 | 19 | 26 | 11 | 161 | 230 | 209 | 438 | 48 | 230 | 30 | 5 | 197 | 20 | -68 | +1 | +0 | +8 | +15 | -4.5 | |
| / 162G | — | MLE | — | 650 | 589 | 95 | 11 | 5 | 3 | 36 | 192 | 17 | 24 | 10 | 161 | 231 | 212 | 443 | 51 | 231 | 30 | 6 | 197 | 20 | -62 | +1 | +0 | +7 | +14 | -4.1 | |
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 ALakeland Flying Tigers · 60 PAwOBA .279 → .195 (−84)K% 35.0% → 48.5%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 35.00% | ÷0.982 | ×1.360 | — | — | 48.48% |
| BB% (unintentional) /PA | 8.33% | ÷0.998 | ×0.690 | — | ×0.990 | 5.70% |
| HBP% /PA | 1.67% | — | ×0.780 | — | ×0.990 | 1.29% |
| Singles /BIP | 18.75% | ÷1.009 | ×0.920 | — | ×0.990 | 16.93% |
| Doubles /BIP | 9.38% | ÷0.974 | ×0.830 | — | ×0.990 | 7.91% |
| Triples /BIP | 3.12% | ÷1.039 | ×0.910 | — | ×0.990 | 2.71% |
| Home runs /BIP | 3.12% | ÷1.279 | ×0.800 | — | ×0.990 | 1.94% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 102, 2B 95, 3B 108, K 96, BB 100 — 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 .279 → .195; ISO .151 → .096; BABIP .323 → .281. 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).
2022 ROKFCL Tigers · 43 PAwOBA .266 → .176 (−90)K% 25.6% → 37.9%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 25.58% | ÷0.973 | ×1.440 | — | — | 37.86% |
| BB% (unintentional) /PA | 11.63% | ÷0.978 | ×0.620 | — | ×0.965 | 7.11% |
| HBP% /PA | 2.33% | — | ×0.720 | — | ×0.965 | 1.62% |
| Singles /BIP | 23.08% | ÷1.018 | ×0.820 | — | ×0.965 | 17.94% |
| Doubles /BIP | 0.00% | ÷0.941 | ×0.720 | — | ×0.965 | 0.00% |
| Triples /BIP | 0.00% | ÷0.990 | ×0.720 | — | ×0.965 | 0.00% |
| Home runs /BIP | 3.85% | ÷0.990 | ×0.780 | — | ×0.965 | 2.93% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 104, 2B 88, 3B 98, K 95, BB 96 — 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).
Result: wOBA .266 → .176; ISO .081 → .054; BABIP .240 → .185. 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 ROKFCL Tigers West · 178 PAwOBA .286 → .192 (−94)K% 27.0% → 38.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 26.97% | ÷1.010 | ×1.440 | — | — | 38.44% |
| BB% (unintentional) /PA | 10.11% | ÷1.066 | ×0.620 | — | ×0.975 | 5.74% |
| HBP% /PA | 0.56% | — | ×0.720 | — | ×0.975 | 0.39% |
| Singles /BIP | 23.64% | ÷0.984 | ×0.820 | ×1.005 | ×0.975 | 19.30% |
| Doubles /BIP | 5.45% | ÷1.027 | ×0.720 | ×1.005 | ×0.975 | 3.75% |
| Triples /BIP | 1.82% | ÷0.949 | ×0.720 | ×1.005 | ×0.975 | 1.35% |
| Home runs /BIP | 1.82% | ÷0.906 | ×0.780 | — | ×0.975 | 1.53% |
Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 81, 1B 97, 2B 105, 3B 90, K 102, BB 113 — 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 ×1.005.
Result: wOBA .286 → .192; ISO .101 → .069; BABIP .312 → .245. 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 ROKFCL Tigers East · 102 PAwOBA .260 → .192 (−69)K% 17.6% → 25.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 17.65% | ÷1.000 | ×1.440 | — | — | 25.41% |
| BB% (unintentional) /PA | 7.84% | ÷1.000 | ×0.620 | — | ×0.995 | 4.84% |
| HBP% /PA | 3.92% | — | ×0.720 | — | ×0.995 | 2.81% |
| Singles /BIP | 20.29% | ÷1.000 | ×0.820 | — | ×0.995 | 16.55% |
| Doubles /BIP | 4.35% | ÷1.000 | ×0.720 | — | ×0.995 | 3.11% |
| Triples /BIP | 1.45% | ÷1.000 | ×0.720 | — | ×0.995 | 1.04% |
| 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).
Result: wOBA .260 → .192; ISO .057 → .041; BABIP .254 → .201. 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 DSLDSL Tigers 2 · 236 PAwOBA .314 → .212 (−102)K% 16.9% → 20.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 16.95% | ÷1.000 | ×1.220 | — | — | 20.68% |
| BB% (unintentional) /PA | 7.20% | ÷1.000 | ×0.700 | — | ×0.995 | 5.02% |
| HBP% /PA | 3.39% | — | ×0.700 | — | ×0.995 | 2.36% |
| Singles /BIP | 29.52% | ÷1.000 | ×0.680 | ×0.998 | ×0.995 | 19.94% |
| Doubles /BIP | 4.22% | ÷1.000 | ×0.600 | ×0.998 | ×0.995 | 2.51% |
| Triples /BIP | 0.60% | ÷1.000 | ×0.600 | ×0.998 | ×0.995 | 0.36% |
| Home runs /BIP | 0.60% | ÷1.000 | ×0.470 | — | ×0.995 | 0.28% |
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 ×0.998.
Result: wOBA .314 → .212; ISO .058 → .034; BABIP .339 → .225. 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 DSLDSL Tigers · 95 PAwOBA .277 → .188 (−89)K% 20.0% → 24.4%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 20.00% | ÷1.000 | ×1.220 | — | — | 24.40% |
| BB% (unintentional) /PA | 9.47% | ÷1.000 | ×0.700 | — | ×1.008 | 6.68% |
| HBP% /PA | 4.21% | — | ×0.700 | — | ×1.008 | 2.97% |
| Singles /BIP | 25.40% | ÷1.000 | ×0.680 | ×0.995 | ×1.008 | 17.32% |
| Doubles /BIP | 0.00% | ÷1.000 | ×0.600 | ×0.995 | ×1.008 | 0.00% |
| Triples /BIP | 3.17% | ÷1.000 | ×0.600 | ×0.995 | ×1.008 | 1.91% |
| 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 ×0.995.
Result: wOBA .277 → .188; ISO .049 → .029; BABIP .286 → .192. 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).