Sherman Lacrus

PosC
B/TR/R
Born1993-12-23
Age (2027)33
No MLB projection yet. Career stats below are historical.
Overview
ALAST SEASON 2016
YearAgeLvl / TeamPAAVG/OBP/SLGHRSBwRC+WARMLE AVG/OBP/SLG
201319ROKTEX220.330/.444/.4133864—.226/.333/.269
201420ROKAZL Rangers183.263/.374/.4083260—.199/.279/.292
201622ATEX189.231/.301/.3202539—.191/.247/.254
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)
201319 ROKDSL Rangers — 220179 59413 211816 84 330444413858 84350 810 389 64 — — — — — —
201420 ROKAZL Rangers — 183152 40923 24223 23 263374408782 145282 1213 347 60 — — — — — —
201622 AHickory Crawdads — 189169 39712 13344 53 231301320621 89274 187 281 39 — — — — — —
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
201319 ROK MLEDSL Rangers — 220186 42311 142216 84 226333269602 43230 106 263 64 — — — — — —
201420 ROK MLEAZL Rangers — 183161 32712 15323 23 199279292571 93219 178 257 60 — — — — — —
201622 A MLEHickory Crawdads — 189173 33611 9464 53 191247254502 64243 245 226 39 — — — — — —
201319 ROK MLEDSL Rangers — 220186 42311 142216 84 226333269602 43248 106 263 64 — — — — — —
201319 ROK RAWDSL Rangers — 220179 59413 211816 84 330444413858 84350 810 389 64 — — — — — —
201420 ROK MLEAZL Rangers — 183161 32712 15323 23 199279292571 93229 178 257 60 — — — — — —
201420 ROK RAWAZL Rangers — 183152 40923 24223 23 263374408782 145282 1213 347 60 — — — — — —
201622 A MLEHickory Crawdads — 189173 33611 9464 53 191247254502 64250 245 226 39 — — — — — —
201622 A RAWHickory Crawdads — 189169 39712 13344 53 231301320621 89274 187 281 39 — — — — — —
201319 ROK MLEDSL Rangers — 220188 42311 142216 84 223333266599 43230 106 263 64 — — — — — —
201420 ROK MLEAZL Rangers — 183163 32712 15323 23 196279288568 92219 178 257 60 — — — — — —
201622 A MLEHickory Crawdads — 189174 33611 9464 53 190247253500 63243 245 226 39 — — — — — —
▸ Career Totals
Career— MLE — 592520 1071634 3810023 1510 206289271560 65243 176 249 55 -32 -1 +0 +11 +13 -1.0
/ 162G— MLE — 650571 1171834 4211025 1611 205288268556 63242 176 249 55 -35 -1 +0 +12 +14 -1.1

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.

2016 AHickory Crawdads · 189 PAwOBA .276 → .226 (−51)K% 18.0% → 24.4%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA17.99%÷0.990×1.340——24.36%
BB% (unintentional) /PA6.88%÷0.972×0.660—×0.9904.63%
HBP% /PA2.12%—×0.770—×0.9901.61%
Singles /BIP21.48%÷1.041×0.920×1.008×0.99018.94%
Doubles /BIP5.19%÷0.907×0.820×1.008×0.9904.68%
Triples /BIP0.74%÷0.900×0.940×1.008×0.9900.77%
Home runs /BIP1.48%÷1.100×0.820—×0.9901.09%

Factors used: league row SAL. Park (home-season share, regressed): HR 120, 1B 108, 2B 81, 3B 80, K 98, BB 94 — 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 ×1.008.

Result: wOBA .276 → .226; ISO .089 → .074; BABIP .274 → .243. 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 ROKAZL Rangers · 183 PAwOBA .346 → .257 (−89)K% 12.0% → 17.3%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA12.02%÷1.000×1.440——17.31%
BB% (unintentional) /PA13.11%÷1.000×0.620—×0.9858.01%
HBP% /PA1.64%—×0.720—×0.9851.16%
Singles /BIP20.00%÷1.000×0.820×1.000×0.98516.15%
Doubles /BIP6.92%÷1.000×0.720×1.000×0.9854.91%
Triples /BIP1.54%÷1.000×0.720×1.000×0.9851.09%
Home runs /BIP2.31%÷1.000×0.780—×0.9851.77%

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 ×1.000.

Result: wOBA .346 → .257; ISO .145 → .110; BABIP .282 → .219. 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 DSLDSL Rangers · 220 PAwOBA .382 → .263 (−118)K% 8.2% → 10.0%
ComponentRawPark ÷Level factor ×GB/FB ×Age ×= MLE
K% /PA8.18%÷1.000×1.220——9.98%
BB% (unintentional) /PA9.09%÷1.000×0.700—×0.9856.27%
HBP% /PA7.27%—×0.700—×0.9855.01%
Singles /BIP31.68%÷1.000×0.680×1.003×0.98521.28%
Doubles /BIP2.48%÷1.000×0.600×1.003×0.9851.47%
Triples /BIP0.62%÷1.000×0.600×1.003×0.9850.37%
Home runs /BIP1.86%÷1.000×0.470—×0.9850.86%

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 20 vs a level average of 18.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .382 → .263; ISO .084 → .046; BABIP .350 → .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).