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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.

PENN

Kuba Mijakowski

Kuba Mijakowski sits 164th of 3918 players in personal fouls, at 0.4 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 7 shown▶
Playing Time▶
Games Played19
Minutes4.76th3669/3918
Games Started0
ScoringOffense▶
Usage Rate20.6%65th1364/3918
Points1.916th3291/3918
ShootingOffense▶
Field Goals Made0.614th3362/3918
Field Goals Attempted1.615th3346/3918
Field Goal Percentage40%—
Three-Pointers Made0.655th1769/3918
Effective Field Goal Percentage58.3%—
Three-Pointers Attempted1.548th2031/3918
Three-Point Percentage39.3%—
Free Throws Made0.16th3680/3918
Free Throws Attempted0.13rd3806/3918
True Shooting Percentage59.9%—
Free Throw Percentage100%—
Two Pointers Made0.12nd3831/3918
Two Pointers Attempted0.11st3868/3918
Two Point Percentage50%—
Shot ProfileOffense▶
Three-Point Attempt Rate93.3%—
Free Throw Rate6.7%—
PlaymakingOffense▶
Assists0.213th3411/3918
Turnovers0.390th399/3918
Assist to Turnover Ratio0.67—
Rebounding▶
Rebounds0.912th3451/3918
ReboundingOffense▶
Offensive Rebounds0.325th2941/3918
ReboundingDefense▶
Defensive Rebounds0.611th3480/3918
DefenseDefense▶
Steals0.15th3735/3918
Blocks06th3420/3918
Personal Fouls0.496th164/3918
19 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
PENNMarch 16, 2019@HARVHARV0000000-0100000
PENNMarch 8, 2019YALEYALE1000000-0000000
PENNMarch 1, 2019@HARVHARV2002020-0000000
PENNFeb 23, 2019CORCOR1000000-0000000
PENNFeb 9, 2019@YALEYALE1000000-0000000
PENNFeb 2, 2019@COLUCOLU3000000-0000010
PENNFeb 1, 2019@CORCOR9314130-0700011
PENNJan 26, 2019@JOESJOES12315150-0000001
PENNJan 19, 2019@TEMTEM201446462-2211012
PENNJan 5, 2019@PRINPRIN0000000-0100000
PENNDec 31, 2018MONMMONM16527160-0430012
PENNDec 29, 2018@TOLTOL2000000-0000000
PENNDec 8, 2018@LASLAS1000000-0000010
PENNNov 27, 2018@DSUDSU8002020-0300010
PENNNov 24, 2018STKNSTKN4622220-0000000
PENNNov 19, 2018ORSTORST6311110-0000001
PENNNov 18, 2018@KSUKSU#141000000-0000000
PENNNov 13, 2018LAFLAF2311110-0000000
PENNNov 9, 2018RICERICE0000000-0000000

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.