Brian Holberton

PosC
B/TL/R
Born1992-06-10
Age (2027)35
No MLB projection yet. Career stats below are historical.
Overview
A+LAST SEASON 2015
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201321ROKGreeneville A…150.225/.380/.4005264—.176/.280/.305
201422AKC334.253/.331/.3806059—.212/.271/.306
201523A+Lancaster Jet…236.244/.333/.3934170—.215/.281/.340
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. 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)
201321 ROKGreeneville Astros — 150120 27605 26214 21 225380400780 175234 1417 358 64 — — — — — —
201422 AQuad Cities River Bandits — 334297 751816 33422 01 253331380712 128276 1310 320 59 — — — — — —
201523 A+Lancaster JetHawks — 236201 491234 25252 12 244333393726 149253 1111 316 70 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201321 ROK MLEGreeneville Astros — 150131 23504 15304 21 176280305585 130191 2010 263 64 — — — — — —
201422 A MLEQuad Cities River Bandits — 334307 651514 23572 01 212271306577 94244 177 256 59 — — — — — —
201523 A+ MLELancaster JetHawks — 236209 451024 17362 12 215281340620 124226 157 271 70 — — — — — —
201321 ROK MLEGreeneville Astros — 150131 23504 15304 21 176280305585 130196 2010 263 64 — — — — — —
201321 ROK RAWGreeneville Astros — 150120 27605 26214 21 225380400780 175234 1417 358 64 — — — — — —
201422 A MLEQuad Cities River Bandits — 334307 651514 23572 01 212271306577 94247 177 256 59 — — — — — —
201422 A RAWQuad Cities River Bandits — 334297 751816 33422 01 253331380712 128276 1310 320 59 — — — — — —
201523 A+ MLELancaster JetHawks — 236209 451024 17362 12 215281340620 124234 157 271 70 — — — — — —
201523 A+ RAWLancaster JetHawks — 236201 491234 25252 12 244333393726 149253 1111 316 70 — — — — — —
201321 ROK MLEGreeneville Astros — 150130 23504 15304 21 177280308588 131191 2010 263 64 — — — — — —
201422 A MLEQuad Cities River Bandits — 334306 651514 23572 01 212271307578 95244 177 256 59 — — — — — —
201523 A+ MLELancaster JetHawks — 236215 451024 17362 12 209281330611 121226 157 271 70 — — — — — —
▸ Career Totals
Career— MLE — 720647 13330312 551238 34 206276317593 111233 178 262 64 -31 -1 +0 +13 +16 -0.4
/ 162G— MLE — 650584 12027311 501117 34 205276318595 113233 178 262 64 -28 -1 +0 +12 +14 -0.3

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.

2015 A+Lancaster JetHawks · 236 PAwOBA .316 → .271 (−45)K% 10.6% → 15.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA10.59%÷0.924×1.340——15.37%
BB% (unintentional) /PA10.59%÷1.031×0.710—×0.9987.28%
HBP% /PA0.85%—×0.790—×0.9980.67%
Singles /BIP17.05%÷0.985×0.910×1.020×0.99816.03%
Doubles /BIP6.82%÷1.005×0.820×1.020×0.9985.66%
Triples /BIP1.70%÷1.150×0.760×1.020×0.9981.15%
Home runs /BIP2.27%÷0.964×0.920—×0.9982.17%

Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, BB 106 — 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 ×1.020.

Result: wOBA .316 → .271; ISO .149 → .130; BABIP .253 → .226. 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 AQuad Cities River Bandits · 334 PAwOBA .313 → .256 (−57)K% 12.6% → 17.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.57%÷1.004×1.360——17.04%
BB% (unintentional) /PA9.88%÷1.005×0.690——6.78%
HBP% /PA0.60%—×0.780——0.47%
Singles /BIP19.61%÷1.003×0.920×0.995—17.90%
Doubles /BIP7.06%÷0.999×0.830×0.995—5.83%
Triples /BIP0.39%÷1.013×0.910×0.995—0.35%
Home runs /BIP2.35%÷1.084×0.800——1.74%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 117, 1B 101, 2B 100, 3B 103, K 101, BB 101 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .313 → .256; ISO .128 → .100; BABIP .276 → .244. 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 ROKGreeneville Astros · 150 PAwOBA .345 → .263 (−82)K% 14.0% → 19.9%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA14.00%÷1.000×1.420——19.88%
BB% (unintentional) /PA16.00%÷1.000×0.640—×0.98510.09%
HBP% /PA2.67%—×0.740—×0.9851.94%
Singles /BIP16.16%÷1.000×0.840×1.033×0.98513.81%
Doubles /BIP6.06%÷1.000×0.740×1.033×0.9854.56%
Triples /BIP0.00%÷1.000×0.740×1.033×0.9850.00%
Home runs /BIP5.05%÷1.000×0.800—×0.9853.98%

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 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.033.

Result: wOBA .345 → .263; ISO .175 → .140; BABIP .234 → .191. 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).