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Team tables split by side of the ball, and the Side control hides the half you are not reading. The roster is everyone who played that season, so a transfer appears under the program he actually played for rather than the one he is at now. There is no game-type control because the tables hold regular-season games only. A dash means no number for that cell, or a zero in a roster column that counts.

UTC

Silvio De Sousa

Silvio De Sousa sits 41st of 3077 players in win shares per 48 minutes, at 0.24.

94th beats 94% of the Players; 1 is the best of however many the row says. Higher is always better, whichever way the stat runs. Red to green by where the placing sits. A stat with no better end is left unpainted.

all 8 shown▶
Playing Time▶
Games Played28
Minutes2051st2014/4069
Games Started26
ScoringOffense▶
Usage Rate27.7%94th235/4069
Points1180th805/4069
ShootingOffense▶
Field Goals Made4.688th500/4069
Field Goals Attempted874th1045/4069
Field Goal Percentage57.4%96th91/2009
Three-Pointers Made0.232nd2780/4069
Effective Field Goal Percentage58.5%92nd171/2009
Three-Pointers Attempted0.731st2813/4069
Three-Point Percentage26.3%—
Free Throws Made1.673rd1112/4069
Free Throws Attempted2.577th923/4069
True Shooting Percentage60.4%87th255/2009
Free Throw Percentage64.8%18th1028/1258
Two Pointers Made4.495th201/4069
Two Pointers Attempted7.391st386/4069
Two Point Percentage60.3%91st130/1452
Shot ProfileOffense▶
Three-Point Attempt Rate8.5%11th1780/2009
Free Throw Rate31.8%63rd748/2009
PlaymakingOffense▶
Assists0.949th2058/4069
Turnovers1.529th2900/4069
Assist to Turnover Ratio0.5818th2637/3229
Rebounding▶
Rebounds6.996th184/4069
Rebound Rate23.3%100th15/3081
ReboundingOffense▶
Offensive Rebounds2.396th177/4069
ReboundingDefense▶
Defensive Rebounds4.592nd325/4069
DefenseDefense▶
Steals0.869th1278/4069
Blocks195th210/4069
Personal Fouls2.86th3824/4069
Impact▶
Box Plus-Minus6.991st281/3081
Value over Replacement1.575th772/3081
Player Efficiency Rating29.899th26/3081
Win Shares3.390th304/3081
Estimated Wins1.678th690/3081
Win Shares per 48 Minutes0.2499th41/3077
Possessions Played886
ImpactOffense▶
Offensive Box Plus-Minus3.686th444/3081
Box Creation2.876th747/3081
Assist Percentage8.938th1904/3081
Offensive Rebound Percentage16.399th42/3081
Turnover Percentage14.658th1297/3081
Offensive Rating114.985th462/3077
Offensive Win Shares1.986th442/3081
ImpactDefense▶
Defensive Box Plus-Minus3.386th429/3081
Defensive Rating89.597th79/3081
Defensive Rebound Percentage29.899th26/3081
Steal Percentage2.579th602/3081
Block Percentage6.495th161/3081
Defensive Win Shares1.489th330/3081
28 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UTCMarch 18, 2022@ILLILL#2018847000-2430014
UTCMarch 7, 2022FURFUR3017710003-51400112
UTCMarch 6, 2022WOFWOF211246004-4532134
UTCMarch 5, 2022CITCIT13212000-0601004
UTCFeb 26, 2022SAMSAM18948021-2700104
UTCFeb 23, 2022@ETSUETSU14634000-0400012
UTCFeb 2, 2022@SAMSAM23846000-0710033
UTCJan 29, 2022@CITCIT10214010-0420115
UTCJan 26, 2022WOFWOF15836002-4211014
UTCJan 22, 2022@VMIVMI1713510112-2121013
UTCJan 20, 2022@UNCGUNCG261546116-71111002
UTCJan 15, 2022FURFUR2211510120-0700001
UTCJan 12, 2022@WCUWCU22636000-01102345
UTCJan 8, 2022CITCIT2315714011-41421330
UTCDec 30, 2021ETSUETSU211369001-31300223
UTCDec 22, 2021MTSUMTSU22625012-2303244
UTCDec 18, 2021@MURMUR19737011-2400122
UTCDec 15, 2021@BELBEL2715611112-2911023
UTCDec 12, 2021TWUTWU1320811113-3603210
UTCDec 8, 2021@UNCAUNCA221458004-8301224
UTCDec 5, 2021@LIPLIP1911410013-4711302
UTCNov 30, 2021@TNTCTNTC2417811011-11111233
UTCNov 27, 2021COFCCOFC262178017-8610311
UTCNov 23, 2021COVCOV2014712020-0921121
UTCNov 20, 2021@VCUVCU2815716021-31000013
UTCNov 16, 2021TNTCTNTC18636000-1111111
UTCNov 14, 2021UNCAUNCA191157001-2831033
UTCNov 9, 2021@LMULMU11523001-2500004
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2021-22UTC2820116.90.957.4%26.3%60.4%6.9
2019-20KU178.62.830.147.1%66.7%52.2%—

About College Basketball Research

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Every number the site holds for a Division I team and the players who played for it, in one place. Pick a team and a season and read it. Nothing here needs an account.

Where the numbers come from

The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.