Jose Sibrian

PosC
B/TR/R
Born1998-10-24
Age (2027)28
No MLB projection yet. Career stats below are historical.
Overview
INTLPROSPECT
MLB%0%
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
202324ACarolina Mudc…244.278/.361/.4819074—.215/.286/.352
202425A+DET52.152/.250/.19600-7—.128/.212/.170
202526INTLTigres de Ara…110.316/.368/.40812115—
Contract
No contract data on file.
Skills · percentileMiLB Statcast 2024 A+
Z-Con%77
BB%25
K%18
Whiff%11
wRC+10
ISO10

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
201617 ROKDSL Brewers — 133116 25500 9216 00 216305259564 43260 167 265 9 — — — — — —
201819 ROKHelena Brewers — 140127 25501 7286 00 197271260531 63245 205 250 7 — — — — — —
202122 ACarolina Mudcats — 1818 6200 050 00 333333444778 111462 280 344 47 — — — — — —
202122 ROKACL Brewers Blue — 9386 18300 4173 00 209269244513 35261 184 241 -7 — — — — — —
202223 ACarolina Mudcats — 245217 531302 21367 00 244331332662 88285 159 306 47 — — — — — —
202223 INTLCardenales de Lara — 2625 9001 120 00 360385480865 120364 84 385 147 — — — — — —
202324 ACarolina Mudcats — 244212 591609 184110 00 278361481842 203303 177 369 74 — — — — — —
202425 A+West Michigan Whitecaps — 5246 7200 4172 00 152250196446 43241 338 218 -7 — — — — — —
202526 INTLTigres de Aragua — 11098 31601 5233 20 316368408776 92405 215 338 115 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201617 ROK MLEDSL Brewers — 133119 17300 6266 00 143221168389 25178 205 181 9 — — — — — —
201819 ROK MLEHelena Brewers — 140130 19301 4406 00 146207192399 46204 293 178 7 — — — — — —
202122 A MLECarolina Mudcats — 1818 4100 070 00 222222278500 56390 390 238 47 — — — — — —
202122 ROK MLEACL Brewers Blue — 9387 12200 3243 00 138194161354 23192 263 158 -7 — — — — — —
202223 A MLECarolina Mudcats — 245224 441001 14507 00 196265254520 58248 206 237 47 — — — — — —
202324 A MLECarolina Mudcats — 244219 471206 125610 00 215286352638 137247 235 277 74 — — — — — —
202425 A+ MLEWest Michigan Whitecaps — 5247 6200 3232 00 128212170382 43211 446 158 -7 — — — — — —
201617 ROK MLEDSL Brewers — 133119 17300 6266 00 143221168389 25181 205 181 9 — — — — — —
201617 ROK RAWDSL Brewers — 133116 25500 9216 00 216305259564 43260 167 265 9 — — — — — —
201819 ROK MLEHelena Brewers — 140130 19301 4406 00 146207192399 46202 293 178 7 — — — — — —
201819 ROK RAWHelena Brewers — 140127 25501 7286 00 197271260531 63245 205 250 7 — — — — — —
202122 ROK MLE2 teams — 111105 17300 3313 00 162207190398 29230 283 171 2 — — — — — —
202122 ROK RAW2 teams — 111104 24500 4223 00 231279279558 48293 204 258 2 — — — — — —
202223 A MLE2 teams — 271248 481101 16567 00 194262250512 56246 216 237 47 — — — — — —
202223 A RAW2 teams — 271242 621303 22387 00 256336347683 91294 148 314 47 — — — — — —
202324 A MLECarolina Mudcats — 244219 471206 125610 00 215286352638 137256 235 277 74 — — — — — —
202324 A RAWCarolina Mudcats — 244212 591609 184110 00 278361481842 203303 177 369 74 — — — — — —
202425 A+ MLEWest Michigan Whitecaps — 5247 6200 3232 00 128212170382 43250 446 158 -7 — — — — — —
202425 A+ RAWWest Michigan Whitecaps — 5246 7200 4172 00 152250196446 43241 338 218 -7 — — — — — —
202526 INTL MLETigres de Aragua — 11098 31601 5233 20 316368408776 92405 215 — — — — — — — —
202526 INTL RAWTigres de Aragua — 11098 31601 5233 20 316368408776 92405 215 338 115 — — — — — —
201617 ROK MLEDSL Brewers — 133120 17300 6266 00 142221167388 25178 205 181 9 — — — — — —
201819 ROK MLEHelena Brewers — 140129 19301 4406 00 147207194401 47204 293 178 7 — — — — — —
202122 ROK MLE2 teams — 111104 17300 3313 00 163207192400 29224 283 171 2 — — — — — —
202223 A MLE2 teams — 271246 481101 16567 00 195262252514 57248 216 237 47 — — — — — —
202324 A MLECarolina Mudcats — 244220 471206 125610 00 214286350636 136247 235 277 74 — — — — — —
202425 A+ MLEWest Michigan Whitecaps — 5247 6200 3232 00 128212170382 43211 446 158 -7 — — — — — —
▸ Model inputs — neutral MLE (past 3 seasons)
202425 A+ MLEWest Michigan Whitecaps — 5247 6200 3232 00 128212170382 43211 446 158 -7 — — — — — —
▸ Career Totals
Career— MLE — 1061966 1854009 4925537 20 192258261518 69249 245 196 19 -102 +0 +0 +19 +23 -6.1
/ 162G— MLE — 650592 1142506 3015623 10 193259265524 73250 245 196 19 -63 +0 +0 +12 +14 -3.8

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.

2024 A+West Michigan Whitecaps · 52 PAwOBA .213 → .158 (−56)K% 32.7% → 43.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA32.69%÷0.957×1.270——43.40%
BB% (unintentional) /PA7.69%÷1.026×0.710—×0.9685.15%
HBP% /PA3.85%—×0.790—×0.9682.94%
Singles /BIP17.24%÷1.021×0.920—×0.96815.04%
Doubles /BIP6.90%÷0.892×0.810—×0.9686.06%
Triples /BIP0.00%÷0.900×0.850—×0.9680.00%
Home runs /BIP0.00%÷0.889×0.800—×0.9680.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 78, 1B 104, 2B 78, 3B 80, K 91, BB 105 — applied at half strength. Age: age 26 vs a level average of 22.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average).

Result: wOBA .213 → .158; ISO .043 → .033; BABIP .241 → .211. 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).

2023 ACarolina Mudcats · 244 PAwOBA .363 → .277 (−86)K% 16.8% → 23.1%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA16.80%÷0.990×1.360——23.08%
BB% (unintentional) /PA7.38%÷1.018×0.690—×0.9704.85%
HBP% /PA4.10%—×0.780—×0.9703.10%
Singles /BIP19.88%÷1.049×0.920×1.017×0.97017.20%
Doubles /BIP9.36%÷1.090×0.830×1.017×0.9707.03%
Triples /BIP0.00%÷0.900×0.910×1.017×0.9700.00%
Home runs /BIP5.26%÷1.072×0.800—×0.9703.81%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 118, 3B 80, K 98, BB 104 — applied at half strength. Age: age 25 vs a level average of 22.0 → −3.0% on BB/HBP/hit rates (3.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.017.

Result: wOBA .363 → .277; ISO .203 → .147; BABIP .303 → .247. 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 ACarolina Mudcats · 245 PAwOBA .299 → .237 (−61)K% 14.7% → 20.5%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.69%÷0.977×1.360——20.46%
BB% (unintentional) /PA8.57%÷0.975×0.690—×0.9805.94%
HBP% /PA2.86%—×0.780—×0.9802.18%
Singles /BIP20.99%÷1.034×0.920×1.027×0.98018.80%
Doubles /BIP7.18%÷1.036×0.830×1.027×0.9805.79%
Triples /BIP0.00%÷1.150×0.910×1.027×0.9800.00%
Home runs /BIP1.10%÷1.136×0.800—×0.9800.76%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 107, 2B 107, 3B 130, K 95, BB 95 — 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 ×1.027.

Result: wOBA .299 → .237; ISO .088 → .065; BABIP .285 → .248. 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 ROKACL Brewers Blue · 93 PAwOBA .235 → .158 (−77)K% 18.3% → 26.2%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA18.28%÷1.006×1.440——26.16%
BB% (unintentional) /PA4.30%÷0.970×0.620—×0.9652.65%
HBP% /PA3.23%—×0.720—×0.9652.24%
Singles /BIP21.74%÷0.999×0.820×0.950×0.96516.36%
Doubles /BIP4.35%÷0.999×0.720×0.950×0.9652.87%
Triples /BIP0.00%÷1.050×0.720×0.950×0.9650.00%
Home runs /BIP0.00%÷0.948×0.780—×0.9650.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 100, 2B 100, 3B 110, K 101, BB 94 — 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 ×0.950.

Result: wOBA .235 → .158; ISO .035 → .021; BABIP .261 → .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).

2021 ACarolina Mudcats · 18 PAwOBA .334 → .238 (−96)K% 27.8% → 37.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA27.78%÷0.996×1.360——37.95%
BB% (unintentional) /PA0.00%÷1.017×0.690—×0.9900.00%
HBP% /PA0.00%—×0.780—×0.9900.00%
Singles /BIP30.77%÷0.990×0.920—×0.99028.31%
Doubles /BIP15.38%÷1.177×0.830—×0.99010.74%
Triples /BIP0.00%÷1.052×0.910—×0.9900.00%
Home runs /BIP0.00%÷0.974×0.800—×0.9900.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 98, 2B 135, 3B 110, K 99, BB 103 — 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 .334 → .238; ISO .111 → .067; BABIP .462 → .390. 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 ROKHelena Brewers · 140 PAwOBA .244 → .178 (−66)K% 20.0% → 28.8%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA20.00%÷1.000×1.440——28.80%
BB% (unintentional) /PA5.00%÷1.000×0.610—×0.9953.03%
HBP% /PA4.29%—×0.720—×0.9953.07%
Singles /BIP19.19%÷1.000×0.820×1.050×0.99516.44%
Doubles /BIP5.05%÷1.000×0.720×1.050×0.9953.80%
Triples /BIP0.00%÷1.000×0.720×1.050×0.9950.00%
Home runs /BIP1.01%÷1.000×0.750—×0.9950.75%

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 .244 → .178; ISO .063 → .043; BABIP .245 → .204. 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 Brewers · 133 PAwOBA .260 → .181 (−79)K% 15.8% → 19.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA15.79%÷1.000×1.220——19.26%
BB% (unintentional) /PA6.77%÷1.000×0.700—×1.0084.77%
HBP% /PA4.51%—×0.700—×1.0083.18%
Singles /BIP21.05%÷1.000×0.680×1.021×1.00814.72%
Doubles /BIP5.26%÷1.000×0.600×1.021×1.0083.25%
Triples /BIP0.00%÷1.000×0.600×1.021×1.0080.00%
Home runs /BIP0.00%÷1.000×0.470—×1.0080.00%

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 ×1.021.

Result: wOBA .260 → .181; ISO .043 → .027; BABIP .260 → .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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .