Vance Vizcaino

PosCF
B/TL/R
Born1994-08-01
Age (2027)32
No MLB projection yet. Career stats below are historical.
Overview
AAALAST SEASON 2021
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201823A+/A2 orgs326.232/.299/.3112334—.198/.243/.267
201924AACOL342.266/.342/.40873257—.210/.265/.302
202126AAA/AA2 orgs150.235/.322/.3333451—.195/.255/.261
Contract
No contract data on file.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.
basis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral
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.

YearAge LvlTeam MLB% PAAB H2B3BHR BBSOHBP SBCS AVGOBPSLGOPS ISOBABIP K%BB% wOBAwRC+ BATRUNFLDPOSREP WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
201621 ROKBurlington Royals — 213185 49520 17344 169 265340314653 49318 168 293 38 — — — — — —
201722 ALexington Legends — 171149 47900 17360 118 315383376759 60409 2110 338 89 — — — — — —
201722 ROKIdaho Falls Chukars — 9687 25522 7201 103 287347460807 172348 217 353 52 — — — — — —
201823 A+Wilmington Blue Rocks — 265241 58921 17622 22 241296307603 66317 236 271 34 — — — — — —
201823 ALexington Legends — 6152 10211 8101 13 192311327638 135220 1613 295 36 — — — — — —
201924 AAHartford Yard Goats — 342304 811447 33942 329 266342408750 141363 2710 334 57 — — — — — —
202126 AAAIowa Cubs — 9687 22400 6342 31 253316299615 46415 356 282 46 — — — — — —
202126 AATennessee Smokies — 5445 9003 871 12 200333400733 200171 1315 333 59 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201621 ROK MLEBurlington Royals — 213191 40410 11484 169 209267241508 31259 235 224 38 — — — — — —
201722 A MLELexington Legends — 171156 46800 11490 118 295341346687 51405 296 300 89 — — — — — —
201722 ROK MLEIdaho Falls Chukars — 9690 17311 4291 103 189232278509 89276 304 245 52 — — — — — —
201823 A+ MLEWilmington Blue Rocks — 265248 51721 10872 22 206242262504 56296 334 219 34 — — — — — —
201823 A MLELexington Legends — 6155 9211 5131 13 164246291537 127189 218 222 36 — — — — — —
201924 AA MLEHartford Yard Goats — 342315 66944 221142 329 210265302567 92309 336 253 57 — — — — — —
202126 AAA MLEIowa Cubs — 9689 19300 4402 31 213263247510 34389 424 236 46 — — — — — —
202126 AA MLETennessee Smokies — 5449 8002 491 12 163241286526 122159 177 256 59 — — — — — —
201621 ROK MLEBurlington Royals — 213191 40410 11484 169 209267241508 31274 235 224 38 — — — — — —
201621 ROK RAWBurlington Royals — 213185 49520 17344 169 265340314653 49318 168 293 38 — — — — — —
201722 A MLE2 teams — 267246 641111 15781 2111 260305325631 65371 296 280 76 — — — — — —
201722 A RAW2 teams — 267236 721422 24561 2111 305370407777 102387 219 344 76 — — — — — —
201823 A+ MLE2 teams — 326303 59922 151013 35 195240257497 63282 315 220 35 — — — — — —
201823 A+ RAW2 teams — 326293 681132 25723 35 232299311610 78299 228 276 35 — — — — — —
201924 AA MLEHartford Yard Goats — 342315 66944 221142 329 210265302567 92313 336 253 57 — — — — — —
201924 AA RAWHartford Yard Goats — 342304 811447 33942 329 266342408750 141363 2710 334 57 — — — — — —
202126 AAA MLE2 teams — 150138 27302 8483 43 196255261516 65284 325 243 51 — — — — — —
202126 AAA RAW2 teams — 150132 31403 14413 43 235322333655 98318 279 300 51 — — — — — —
201621 ROK MLEBurlington Royals — 213196 40410 11484 169 204267235502 31259 235 224 38 — — — — — —
201722 A MLE2 teams — 267249 641111 15781 2111 257305321627 64359 296 280 76 — — — — — —
201823 A+ MLE2 teams — 326305 59922 151013 35 193240256496 62276 315 220 35 — — — — — —
201924 AA MLEHartford Yard Goats — 342315 66944 221142 329 210265302567 92309 336 253 57 — — — — — —
202126 AAA MLE2 teams — 150138 27302 8483 43 196255261516 65306 325 243 51 — — — — — —
▸ Career Totals
Career— MLE — 12981193 2563689 7138913 7637 215266281547 66307 305 244 51 -75 +0 +0 +5 +28 -4.3
/ 162G— MLE — 650597 1291845 361957 3819 216269285554 69308 306 244 51 -38 +0 +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 AAAIowa Cubs · 96 PAwOBA .275 → .236 (−39)K% 35.4% → 41.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA35.42%÷1.032×1.200——41.18%
BB% (unintentional) /PA6.25%÷1.023×0.690—×1.0034.23%
HBP% /PA2.08%—×0.940—×1.0031.96%
Singles /BIP33.96%÷1.039×0.930×1.050×1.00332.01%
Doubles /BIP7.55%÷0.963×0.830×1.050×1.0036.85%
Triples /BIP0.00%÷0.988×0.920×1.050×1.0030.00%
Home runs /BIP0.00%÷1.081×0.700—×1.0030.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 116, 1B 108, 2B 93, 3B 98, K 106, BB 105 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .275 → .236; ISO .046 → .040; BABIP .415 → .389. 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 AATennessee Smokies · 54 PAwOBA .318 → .256 (−62)K% 13.0% → 16.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.96%÷0.990×1.220——15.98%
BB% (unintentional) /PA12.96%÷1.066×0.690—×0.9788.21%
HBP% /PA1.85%—×0.850—×0.9781.54%
Singles /BIP15.79%÷0.970×0.940—×0.97814.97%
Doubles /BIP0.00%÷1.015×0.870—×0.9780.00%
Triples /BIP0.00%÷1.150×0.920—×0.9780.00%
Home runs /BIP7.89%÷1.050×0.780—×0.9785.74%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 110, 1B 94, 2B 103, 3B 130, K 98, BB 113 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average).

Result: wOBA .318 → .256; ISO .200 → .153; BABIP .171 → .159. 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 AAHartford Yard Goats · 342 PAwOBA .325 → .253 (−73)K% 27.5% → 33.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.49%÷1.007×1.220——33.30%
BB% (unintentional) /PA9.36%÷1.042×0.700—×0.9986.27%
HBP% /PA0.58%—×0.850—×0.9980.50%
Singles /BIP26.67%÷1.029×0.970×0.950×0.99823.84%
Doubles /BIP6.67%÷1.178×0.860×0.950×0.9984.61%
Triples /BIP1.90%÷0.900×0.950×0.950×0.9981.91%
Home runs /BIP3.33%÷1.190×0.780—×0.9982.18%

Factors used: league row EL. Park (home-season share, regressed): HR 138, 1B 106, 2B 136, 3B 80, K 101, BB 108 — 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 ×0.950.

Result: wOBA .325 → .253; ISO .141 → .101; BABIP .363 → .309. 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 A+Wilmington Blue Rocks · 265 PAwOBA .266 → .219 (−48)K% 23.4% → 32.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA23.40%÷1.010×1.420——32.89%
BB% (unintentional) /PA6.42%÷1.077×0.630—×0.9883.71%
HBP% /PA0.75%—×0.860—×0.9880.64%
Singles /BIP25.70%÷1.021×0.940×1.050×0.98824.54%
Doubles /BIP5.03%÷1.005×0.830×1.050×0.9884.31%
Triples /BIP1.12%÷0.965×0.800×1.050×0.9880.96%
Home runs /BIP0.56%÷0.773×0.900—×0.9880.64%

Factors used: league row CAR. Park (home-season share, regressed): HR 55, 1B 104, 2B 101, 3B 93, K 102, BB 115 — 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 ×1.050.

Result: wOBA .266 → .219; ISO .066 → .056; BABIP .317 → .296. 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 ALexington Legends · 61 PAwOBA .288 → .222 (−67)K% 16.4% → 22.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.39%÷1.000×1.340——21.97%
BB% (unintentional) /PA13.11%÷1.016×0.660—×0.9808.35%
HBP% /PA1.64%—×0.770—×0.9801.24%
Singles /BIP14.29%÷1.047×0.920×1.050×0.98012.92%
Doubles /BIP4.76%÷1.112×0.820×1.050×0.9803.61%
Triples /BIP2.38%÷1.150×0.940×1.050×0.9802.00%
Home runs /BIP2.38%÷1.051×0.820—×0.9801.82%

Factors used: league row SAL. Park (home-season share, regressed): HR 110, 1B 109, 2B 122, 3B 130, K 100, BB 103 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .288 → .222; ISO .135 → .105; BABIP .220 → .189. 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 ALexington Legends · 171 PAwOBA .334 → .300 (−34)K% 21.1% → 28.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA21.05%÷0.991×1.340——28.47%
BB% (unintentional) /PA9.94%÷1.053×0.660—×0.9906.17%
HBP% /PA0.00%—×0.770—×0.9900.00%
Singles /BIP33.63%÷0.936×0.920×1.050×0.99034.35%
Doubles /BIP7.96%÷0.982×0.820×1.050×0.9906.91%
Triples /BIP0.00%÷1.125×0.940×1.050×0.9900.00%
Home runs /BIP0.00%÷1.062×0.820—×0.9900.00%

Factors used: league row SAL. Park (home-season share, regressed): HR 112, 1B 87, 2B 96, 3B 125, K 98, BB 111 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .334 → .300; ISO .060 → .052; BABIP .409 → .405. 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 ROKIdaho Falls Chukars · 96 PAwOBA .347 → .245 (−102)K% 20.8% → 30.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.83%÷1.000×1.440——30.00%
BB% (unintentional) /PA7.29%÷1.000×0.610—×0.9654.29%
HBP% /PA1.04%—×0.720—×0.9650.72%
Singles /BIP23.88%÷1.000×0.820×1.050×0.96519.84%
Doubles /BIP7.46%÷1.000×0.720×1.050×0.9655.44%
Triples /BIP2.99%÷1.000×0.720×1.050×0.9652.18%
Home runs /BIP2.99%÷1.000×0.750—×0.9652.16%

Factors used: league row PIO. Park (home-season share, regressed): no park row on file (treated as neutral) — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .347 → .245; ISO .172 → .117; BABIP .348 → .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).

2016 ROKBurlington Royals · 213 PAwOBA .290 → .224 (−67)K% 16.0% → 22.7%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.96%÷1.000×1.420——22.67%
BB% (unintentional) /PA7.98%÷1.000×0.640—×0.9754.98%
HBP% /PA1.88%—×0.740—×0.9751.35%
Singles /BIP27.81%÷1.000×0.840×1.013×0.97523.07%
Doubles /BIP3.31%÷1.000×0.740×1.013×0.9752.42%
Triples /BIP1.32%÷1.000×0.740×1.013×0.9750.97%
Home runs /BIP0.00%÷1.000×0.800—×0.9750.00%

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 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 ×1.013.

Result: wOBA .290 → .224; ISO .049 → .036; BABIP .318 → .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).