Victor Padron
| Year | Age | Lvl / Team | PA | AVG/OBP/SLG | HR | SB | wRC+ | WAR | MLE AVG/OBP/SLG |
|---|---|---|---|---|---|---|---|---|---|
| 2014 | 20 | ROKGCL Tigers | 139 | .226/.388/.255 | 0 | 5 | 44 | — | .188/.291/.205 |
| 2015 | 21 | ADET | 38 | .200/.243/.257 | 0 | 0 | 14 | — | .194/.216/.250 |
| 2016 | 22 | ADET | 44 | .135/.273/.135 | 0 | 1 | -6 | — | .103/.205/.103 |
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) | |||||||||||||||||||||||||||||||
| 2012 | 18 | ROK | VSL Tigers | — | 54 | 44 | 12 | 1 | 1 | 0 | 9 | 4 | 1 | 3 | 0 | 273 | 407 | 341 | 748 | 68 | 300 | 7 | 17 | 351 | 49 | — | — | — | — | — | — |
| 2013 | 19 | ROK | VSL Tigers | — | 241 | 214 | 73 | 6 | 0 | 0 | 24 | 28 | 0 | 23 | 8 | 341 | 408 | 369 | 777 | 28 | 392 | 12 | 10 | 353 | 52 | — | — | — | — | — | — |
| 2014 | 20 | ROK | GCL Tigers | — | 139 | 106 | 24 | 3 | 0 | 0 | 28 | 19 | 0 | 5 | 3 | 226 | 388 | 255 | 643 | 28 | 273 | 14 | 20 | 305 | 44 | — | — | — | — | — | — |
| 2015 | 21 | A | West Michigan Whitecaps | — | 38 | 35 | 7 | 2 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 200 | 243 | 257 | 500 | 57 | 233 | 13 | 5 | 223 | 14 | — | — | — | — | — | — |
| 2016 | 22 | A | West Michigan Whitecaps | — | 44 | 37 | 5 | 0 | 0 | 0 | 7 | 12 | 0 | 1 | 0 | 135 | 273 | 135 | 408 | 200 | 27 | 16 | 214 | -6 | — | — | — | — | — | — | |
| ▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents) | |||||||||||||||||||||||||||||||
| 2012 | 18 | ROK MLE | VSL Tigers | — | 54 | 47 | 9 | 1 | 1 | 0 | 6 | 5 | 1 | 3 | 0 | 191 | 296 | 255 | 552 | 64 | 202 | 9 | 11 | 241 | 49 | — | — | — | — | — | — |
| 2013 | 19 | ROK MLE | VSL Tigers | — | 241 | 221 | 53 | 4 | 0 | 0 | 17 | 34 | 0 | 23 | 8 | 240 | 294 | 258 | 552 | 18 | 276 | 14 | 7 | 245 | 52 | — | — | — | — | — | — |
| 2014 | 20 | ROK MLE | GCL Tigers | — | 139 | 117 | 22 | 2 | 0 | 0 | 17 | 27 | 0 | 5 | 3 | 188 | 291 | 205 | 496 | 17 | 230 | 19 | 12 | 233 | 44 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | West Michigan Whitecaps | — | 38 | 36 | 7 | 2 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 194 | 216 | 250 | 466 | 56 | 214 | 18 | 3 | 189 | 14 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | West Michigan Whitecaps | — | 44 | 39 | 4 | 0 | 0 | 0 | 5 | 17 | 0 | 1 | 0 | 103 | 205 | 103 | 307 | 178 | 39 | 11 | 159 | -6 | — | — | — | — | — | — | |
| 2012 | 18 | ROK MLE | VSL Tigers | — | 54 | 47 | 9 | 1 | 1 | 0 | 6 | 5 | 1 | 3 | 0 | 191 | 296 | 255 | 552 | 64 | 214 | 9 | 11 | 241 | 49 | — | — | — | — | — | — |
| 2012 | 18 | ROK RAW | VSL Tigers | — | 54 | 44 | 12 | 1 | 1 | 0 | 9 | 4 | 1 | 3 | 0 | 273 | 407 | 341 | 748 | 68 | 300 | 7 | 17 | 351 | 49 | — | — | — | — | — | — |
| 2013 | 19 | ROK MLE | VSL Tigers | — | 241 | 221 | 53 | 4 | 0 | 0 | 17 | 34 | 0 | 23 | 8 | 240 | 294 | 258 | 552 | 18 | 283 | 14 | 7 | 245 | 52 | — | — | — | — | — | — |
| 2013 | 19 | ROK RAW | VSL Tigers | — | 241 | 214 | 73 | 6 | 0 | 0 | 24 | 28 | 0 | 23 | 8 | 341 | 408 | 369 | 777 | 28 | 392 | 12 | 10 | 353 | 52 | — | — | — | — | — | — |
| 2014 | 20 | ROK MLE | GCL Tigers | — | 139 | 117 | 22 | 2 | 0 | 0 | 17 | 27 | 0 | 5 | 3 | 188 | 291 | 205 | 496 | 17 | 242 | 19 | 12 | 233 | 44 | — | — | — | — | — | — |
| 2014 | 20 | ROK RAW | GCL Tigers | — | 139 | 106 | 24 | 3 | 0 | 0 | 28 | 19 | 0 | 5 | 3 | 226 | 388 | 255 | 643 | 28 | 273 | 14 | 20 | 305 | 44 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | West Michigan Whitecaps | — | 38 | 36 | 7 | 2 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 194 | 216 | 250 | 466 | 56 | 241 | 18 | 3 | 189 | 14 | — | — | — | — | — | — |
| 2015 | 21 | A RAW | West Michigan Whitecaps | — | 38 | 35 | 7 | 2 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 200 | 243 | 257 | 500 | 57 | 233 | 13 | 5 | 223 | 14 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | West Michigan Whitecaps | — | 44 | 39 | 4 | 0 | 0 | 0 | 5 | 17 | 0 | 1 | 0 | 103 | 205 | 103 | 307 | 182 | 39 | 11 | 159 | -6 | — | — | — | — | — | — | |
| 2016 | 22 | A RAW | West Michigan Whitecaps | — | 44 | 37 | 5 | 0 | 0 | 0 | 7 | 12 | 0 | 1 | 0 | 135 | 273 | 135 | 408 | 200 | 27 | 16 | 214 | -6 | — | — | — | — | — | — | |
| 2012 | 18 | ROK MLE | VSL Tigers | — | 54 | 47 | 9 | 1 | 1 | 0 | 6 | 5 | 1 | 3 | 0 | 191 | 296 | 255 | 552 | 64 | 202 | 9 | 11 | 241 | 49 | — | — | — | — | — | — |
| 2013 | 19 | ROK MLE | VSL Tigers | — | 241 | 222 | 53 | 4 | 0 | 0 | 17 | 34 | 0 | 23 | 8 | 239 | 294 | 257 | 551 | 18 | 276 | 14 | 7 | 245 | 52 | — | — | — | — | — | — |
| 2014 | 20 | ROK MLE | GCL Tigers | — | 139 | 121 | 22 | 2 | 0 | 0 | 17 | 27 | 0 | 5 | 3 | 182 | 291 | 198 | 489 | 17 | 230 | 19 | 12 | 233 | 44 | — | — | — | — | — | — |
| 2015 | 21 | A MLE | West Michigan Whitecaps | — | 38 | 37 | 7 | 2 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 189 | 216 | 243 | 459 | 54 | 214 | 18 | 3 | 189 | 14 | — | — | — | — | — | — |
| 2016 | 22 | A MLE | West Michigan Whitecaps | — | 44 | 39 | 4 | 0 | 0 | 0 | 5 | 17 | 0 | 1 | 0 | 103 | 205 | 103 | 307 | 178 | 39 | 11 | 159 | -6 | — | — | — | — | — | — | |
| ▸ Career Totals | |||||||||||||||||||||||||||||||
| Career | — | MLE | — | 516 | 460 | 95 | 9 | 1 | 0 | 46 | 90 | 1 | 32 | 11 | 207 | 280 | 230 | 511 | 24 | 256 | 17 | 9 | 230 | 42 | -36 | +2 | +0 | -6 | +11 | -2.9 | |
| / 162G | — | MLE | — | 650 | 579 | 119 | 11 | 1 | 0 | 58 | 113 | 1 | 40 | 14 | 206 | 279 | 228 | 507 | 22 | 255 | 17 | 9 | 230 | 42 | -45 | +2 | +0 | -7 | +14 | -3.6 | |
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.
2016 AWest Michigan Whitecaps · 44 PAwOBA .210 → .159 (−51)K% 27.3% → 37.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 27.27% | ÷0.983 | ×1.360 | — | — | 37.73% |
| BB% (unintentional) /PA | 15.91% | ÷0.957 | ×0.690 | — | — | 11.47% |
| HBP% /PA | 0.00% | — | ×0.780 | — | — | 0.00% |
| Singles /BIP | 20.00% | ÷1.036 | ×0.920 | — | — | 17.76% |
| Doubles /BIP | 0.00% | ÷1.013 | ×0.830 | — | — | 0.00% |
| Triples /BIP | 0.00% | ÷1.056 | ×0.910 | — | — | 0.00% |
| Home runs /BIP | 0.00% | ÷0.770 | ×0.800 | — | — | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 54, 1B 107, 2B 103, 3B 111, K 97, BB 91 — 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).
Result: wOBA .210 → .159; ISO .000 → .000; BABIP .200 → .178. 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 AWest Michigan Whitecaps · 38 PAwOBA .218 → .189 (−29)K% 13.2% → 18.3%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.16% | ÷0.977 | ×1.360 | — | — | 18.32% |
| BB% (unintentional) /PA | 5.26% | ÷1.006 | ×0.690 | — | ×1.015 | 3.67% |
| HBP% /PA | 0.00% | — | ×0.780 | — | ×1.015 | 0.00% |
| Singles /BIP | 16.67% | ÷0.996 | ×0.920 | — | ×1.015 | 15.63% |
| Doubles /BIP | 6.67% | ÷0.969 | ×0.830 | — | ×1.015 | 5.79% |
| Triples /BIP | 0.00% | ÷1.128 | ×0.910 | — | ×1.015 | 0.00% |
| Home runs /BIP | 0.00% | ÷0.954 | ×0.800 | — | ×1.015 | 0.00% |
Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 99, 2B 94, 3B 126, K 95, BB 101 — 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).
Result: wOBA .218 → .189; ISO .057 → .049; BABIP .233 → .214. 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 ROKGCL Tigers · 139 PAwOBA .301 → .233 (−68)K% 13.7% → 19.7%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 13.67% | ÷1.000 | ×1.440 | — | — | 19.68% |
| BB% (unintentional) /PA | 20.14% | ÷1.000 | ×0.620 | — | ×0.995 | 12.43% |
| HBP% /PA | 0.00% | — | ×0.720 | — | ×0.995 | 0.00% |
| Singles /BIP | 24.14% | ÷1.000 | ×0.820 | ×1.050 | ×0.995 | 20.68% |
| Doubles /BIP | 3.45% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 2.59% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.720 | ×1.050 | ×0.995 | 0.00% |
| 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 .301 → .233; ISO .028 → .023; BABIP .273 → .230. 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).
2013 DSLVSL Tigers · 241 PAwOBA .344 → .245 (−99)K% 11.6% → 14.2%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 11.62% | ÷1.000 | ×1.220 | — | — | 14.17% |
| BB% (unintentional) /PA | 9.96% | ÷1.000 | ×0.700 | — | ×0.995 | 6.94% |
| HBP% /PA | 0.00% | — | ×0.700 | — | ×0.995 | 0.00% |
| Singles /BIP | 36.02% | ÷1.000 | ×0.680 | ×1.050 | ×0.995 | 25.59% |
| Doubles /BIP | 3.23% | ÷1.000 | ×0.600 | ×1.050 | ×0.995 | 2.02% |
| Triples /BIP | 0.00% | ÷1.000 | ×0.600 | ×1.050 | ×0.995 | 0.00% |
| Home runs /BIP | 0.00% | ÷1.000 | ×0.470 | — | ×0.995 | 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 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 ×1.050.
Result: wOBA .344 → .245; ISO .028 → .018; BABIP .392 → .276. 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).
2012 DSLVSL Tigers · 54 PAwOBA .343 → .241 (−102)K% 7.4% → 9.0%
| Component | Raw | Park ÷ | Level factor × | GB/FB × | Age × | = MLE |
|---|---|---|---|---|---|---|
| K% /PA | 7.41% | ÷1.000 | ×1.220 | — | — | 9.04% |
| BB% (unintentional) /PA | 16.67% | ÷1.000 | ×0.700 | — | ×1.008 | 11.75% |
| HBP% /PA | 1.85% | — | ×0.700 | — | ×1.008 | 1.31% |
| Singles /BIP | 25.00% | ÷1.000 | ×0.680 | — | ×1.008 | 17.13% |
| Doubles /BIP | 2.50% | ÷1.000 | ×0.600 | — | ×1.008 | 1.51% |
| Triples /BIP | 2.50% | ÷1.000 | ×0.600 | — | ×1.008 | 1.51% |
| 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).
Result: wOBA .343 → .241; ISO .068 → .043; BABIP .300 → .202. 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).