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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.

LUC

Bruno Skokna

Bruno Skokna ranks 3285th of 3720 players in defensive rebounds, at 0.8 per game.

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 9 shown▶
Playing Time▶
Games Played21
Minutes7.812th3282/3720
Games Started1
ScoringOffense▶
Usage Rate15.2%26th2747/3720
Points1.712th3288/3720
ShootingOffense▶
Field Goals Made0.612th3277/3720
Field Goals Attempted1.511th3300/3720
Field Goal Percentage40.6%—
Three-Pointers Made0.125th2792/3720
Effective Field Goal Percentage43.8%—
Three-Pointers Attempted0.732nd2547/3720
Three-Point Percentage13.3%—
Free Throws Made0.419th3002/3720
Free Throws Attempted0.413th3228/3720
True Shooting Percentage50.1%—
Free Throw Percentage88.9%—
Two Pointers Made0.519th3022/3720
Two Pointers Attempted0.812th3267/3720
Two Point Percentage64.7%—
Shot ProfileOffense▶
Three-Point Attempt Rate46.9%—
Free Throw Rate28.1%—
Shot LocationsOffense▶
Paint Makes06th3141/3347
Paint Attempts02nd3276/3347
Paint Percentage100%—
Mid Range Makes013th2498/3347
Mid Range Attempts04th3053/3347
PlaymakingOffense▶
Assists0.425th2801/3720
Turnovers0.489th419/3720
Assist to Turnover Ratio1.13—
Rebounding▶
Rebounds0.98th3421/3720
ReboundingOffense▶
Offensive Rebounds0.15th3519/3720
ReboundingDefense▶
Defensive Rebounds0.812th3285/3720
DefenseDefense▶
Steals0.220th2983/3720
Blocks019th2995/3720
Personal Fouls0.890th373/3720
Impact▶
Plus Minus051st1665/3409
21 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
LUCFeb 25, 2020DRKEDRKE4213020-0010001
LUCFeb 22, 2020@MOSTMOST7001000-0000001
LUCFeb 19, 2020ILSTILST14524120-0120001
LUCFeb 9, 2020VALVAL4000000-0120000
LUCFeb 5, 2020@INSTINST15315031-2202011
LUCFeb 1, 2020BRADBRAD0000000-0000000
LUCJan 26, 2020@UNIUNI5000000-0110000
LUCJan 22, 2020INSTINST2000000-0000000
LUCJan 19, 2020@ILSTILST2000000-0000000
LUCJan 16, 2020SIUSIU5000000-0120000
LUCJan 11, 2020EVANEVAN15933003-3210011
LUCDec 22, 2019DAVDAV0000000-0000002
LUCDec 7, 2019QUIQUI10413022-2201102
LUCDec 3, 2019@BALLBALL1000000-0000001
LUCNov 26, 2019CSUCSU11002020-0000000
LUCNov 25, 2019@USFUSF2000000-0000000
LUCNov 20, 2019IUINIUIN8000000-0100022
LUCNov 16, 2019JOESJOES12213020-0101001
LUCNov 12, 2019COPPCOPP12001000-0000011
LUCNov 8, 2019@FURFUR17213010-0500032
LUCNov 5, 2019UCDUCD18934112-2101000
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2019-20LUC217.81.70.90.440.6%13.3%50.1%—
2018-19LUC3219.93.51.60.836%25.7%45.4%-0.4

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.