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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.

UNCO

Matej Drgon

Matej Drgon ranks 518th of 3918 players in personal fouls, 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 Played24
Minutes8.918th3207/3918
Games Started0
ScoringOffense▶
Usage Rate26.1%91st355/3918
Points4.943rd2240/3918
ShootingOffense▶
Field Goals Made1.844th2180/3918
Field Goals Attempted3.840th2343/3918
Field Goal Percentage48.4%—
Three-Pointers Made171st1147/3918
Effective Field Goal Percentage62.1%—
Three-Pointers Attempted2.361st1539/3918
Three-Point Percentage46.3%—
Free Throws Made0.212th3446/3918
Free Throws Attempted0.412th3425/3918
True Shooting Percentage62.1%—
Free Throw Percentage55.6%—
Two Pointers Made0.831st2691/3918
Two Pointers Attempted1.529th2783/3918
Two Point Percentage51.4%—
Shot ProfileOffense▶
Three-Point Attempt Rate59.3%—
Free Throw Rate9.9%—
Shot LocationsOffense▶
Paint Makes019th2569/3186
Paint Attempts011th2841/3186
Paint Percentage100%—
Mid Range Makes023rd1712/3186
Mid Range Attempts06th2772/3186
PlaymakingOffense▶
Assists0.315th3300/3918
Turnovers0.676th944/3918
Assist to Turnover Ratio0.43—
Rebounding▶
Rebounds1.524th2993/3918
ReboundingOffense▶
Offensive Rebounds0.215th3324/3918
ReboundingDefense▶
Defensive Rebounds1.330th2745/3918
DefenseDefense▶
Steals0.17th3639/3918
Blocks0.247th2050/3918
Personal Fouls0.887th518/3918
Impact▶
Plus Minus0.163rd1293/3458
24 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UNCOMarch 14, 2019SUUSUU10202022-3310020
UNCOMarch 9, 2019NAUNAU2211000-0010002
UNCOMarch 7, 2019@SUUSUU16627240-0200010
UNCOMarch 2, 2019IDSTIDST91045230-0301021
UNCOFeb 28, 2019WEBWEB11637020-0300102
UNCOFeb 25, 2019@MONTMONT9212000-0000020
UNCOFeb 16, 2019@EWUEWU201047230-0310021
UNCOFeb 14, 2019@IDHOIDHO13525140-1200102
UNCOFeb 9, 2019SACSAC7834230-0000001
UNCOFeb 7, 2019PRSTPRST6312120-0000000
UNCOFeb 4, 2019MTSTMTST2002020-0000000
UNCOJan 26, 2019@NAUNAU91149340-0200101
UNCOJan 24, 2019SUUSUU9413131-2011001
UNCOJan 21, 2019@IDSTIDST141248470-1200001
UNCOJan 12, 2019MONTMONT3000000-0100000
UNCODec 17, 2018@NMSUNMSU3311110-0000020
UNCODec 15, 2018@USDUSD8213000-0100010
UNCODec 11, 2018JWJW171466220-0400101
UNCODec 1, 2018@WYOWYO5002020-0100000
UNCONov 28, 2018@DENDEN3311110-0000000
UNCONov 24, 2018@TTUTTU#37000000-0000001
UNCONov 21, 2018@UIWUIW5001000-0000010
UNCONov 13, 2018PEPPPEPP1512410272-2400012
UNCONov 9, 2018COLCCOLC11313120-0620003

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.