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How to read this page

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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.

UNO

Mathok Majok

Mathok Majok comes in 3593rd of 4184 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 Played16
Minutes4.95th3967/4184
Games Started0
ScoringOffense▶
Usage Rate18.3%50th2092/4184
Points2.216th3520/4184
ShootingOffense▶
Field Goals Made0.919th3408/4184
Field Goals Attempted1.28th3834/4184
Field Goal Percentage73.7%—
Three-Pointers Made08th3550/4184
Effective Field Goal Percentage73.7%—
Three-Pointers Attempted04th3846/4184
Free Throws Made0.423rd3234/4184
Free Throws Attempted0.827th3041/4184
True Shooting Percentage70.8%—
Free Throw Percentage53.8%—
Two Pointers Made0.933rd2804/4184
Two Pointers Attempted1.222nd3273/4184
Two Point Percentage73.7%—
Shot ProfileOffense▶
Three-Point Attempt Rate0%—
Free Throw Rate68.4%—
Shot LocationsOffense▶
Paint Makes0.316th3239/3850
Paint Attempts0.39th3498/3850
Paint Percentage80%—
Mid Range Makes0.145th2072/3850
Mid Range Attempts0.134th2523/3850
Mid Range Percentage50%—
PlaymakingOffense▶
Assists01st4123/4184
Turnovers0.294th250/4184
Assist to Turnover Ratio0.00—
Rebounding▶
Rebounds1.623rd3235/4184
ReboundingOffense▶
Offensive Rebounds0.854th1905/4184
ReboundingDefense▶
Defensive Rebounds0.814th3593/4184
DefenseDefense▶
Steals0.19th3802/4184
Blocks0.787th534/4184
Personal Fouls0.889th472/4184
Impact▶
Plus Minus-1.232nd2654/3879
16 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UNOMarch 9, 2026@AMCCAMCC1000000-0000000
UNOFeb 7, 2026RGVRGV5411002-4100101
UNOFeb 2, 2026@ETAMETAM2100001-2000000
UNOJan 31, 2026NWSTNWST1000000-0000000
UNOJan 24, 2026@MCNMCN2001000-0001000
UNOJan 17, 2026SFASFA3211000-0200001
UNOJan 12, 2026@SELASELA4211000-1200001
UNOJan 5, 2026ETAMETAM1001000-0000001
UNOJan 3, 2026@NWSTNWST5211000-0000102
UNODec 31, 2025@AMCCAMCC12311001-2600421
UNODec 13, 2025@HOUHOU#59634000-0300001
UNODec 8, 2025UIWUIW11312001-2200201
UNODec 6, 2025HCUHCU7311001-1200100
UNODec 3, 2025@MEMMEM2000000-0000100
UNONov 26, 2025@TTUTTU#1611945001-1601112
UNONov 18, 2025@PEPPPEPP2000000-0100001
By seasonPer game3 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2025-26UNO164.92.21.6073.7%—70.8%—
2024-25ORU1980.81.80.235.3%0%40%—
2023-24MASS83.80.810100%—87.2%—

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.