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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.

UPST

Thomas Sheida

In personal fouls, Thomas Sheida is 22nd of 4050 players, at 0.1 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 Played12
Minutes2.82nd3981/4050
Games Started0
ScoringOffense▶
Usage Rate23.4%81st759/4050
Points1.914th3464/4050
ShootingOffense▶
Field Goals Made0.816th3393/4050
Field Goals Attempted1.17th3763/4050
Field Goal Percentage69.2%—
Three-Pointers Made0.445th2205/4050
Effective Field Goal Percentage88.5%—
Three-Pointers Attempted0.627th2939/4050
Three-Point Percentage71.4%—
Free Throws Made01st3941/4050
Free Throws Attempted01st3982/4050
True Shooting Percentage88.5%—
Two Pointers Made0.311th3591/4050
Two Pointers Attempted0.56th3782/4050
Two Point Percentage66.7%—
Shot ProfileOffense▶
Three-Point Attempt Rate53.8%—
Free Throw Rate0%—
Shot LocationsOffense▶
Paint Makes01st3614/3689
Paint Attempts0.12nd3622/3689
Paint Percentage0%—
Mid Range Makes013th2748/3689
Mid Range Attempts05th3316/3689
PlaymakingOffense▶
Assists0.423rd3113/4050
Turnovers0.392nd323/4050
Assist to Turnover Ratio1.67—
Rebounding▶
Rebounds0.42nd3958/4050
ReboundingOffense▶
Offensive Rebounds01st3980/4050
ReboundingDefense▶
Defensive Rebounds0.44th3874/4050
DefenseDefense▶
Steals0.15th3826/4050
Blocks05th3655/4050
Personal Fouls0.199th22/4050
Impact▶
Plus Minus-0.344th2069/3724
12 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UPSTFeb 24, 2024@WINWIN2000000-0000010
UPSTFeb 17, 2024GWEBGWEB7311110-0100010
UPSTFeb 10, 2024UNCAUNCA1000000-0000000
UPSTJan 31, 2024@PRESPRES0000000-0000000
UPSTJan 24, 2024HPUHPU1000000-0000000
UPSTJan 3, 2024@UNCAUNCA4001000-0110000
UPSTDec 30, 2023COKRCOKR6524120-0120001
UPSTDec 16, 2023WCUWCU1000000-0000000
UPSTNov 25, 2023VRHSVRHS3312120-0220000
UPSTNov 12, 2023CUCU61044220-0001000
UPSTNov 10, 2023@VANVAN0000000-0000000
UPSTNov 6, 2023@SCSC2211000-0000010
By seasonPer game4 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2023-24UPST122.81.90.40.469.2%71.4%88.5%—
2022-23UPST184.60.70.30.821.4%22.2%35.1%—
2021-22UPST41.80.50.5050%0%50%—
2020-21UPST62.200.20.50%—0%—

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.