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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.

DAV

Malcolm Wynter

In paint makes, Malcolm Wynter is 3153rd of 3347 players, at 0 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 Played23
Minutes3.82nd3634/3720
Games Started1
ScoringOffense▶
Usage Rate15.8%30th2588/3720
Points1.16th3485/3720
ShootingOffense▶
Field Goals Made0.34th3553/3720
Field Goals Attempted0.95th3548/3720
Field Goal Percentage38.1%—
Three-Pointers Made0.234th2453/3720
Effective Field Goal Percentage50%—
Three-Pointers Attempted0.526th2736/3720
Three-Point Percentage41.7%—
Free Throws Made0.211th3300/3720
Free Throws Attempted0.38th3407/3720
True Shooting Percentage54%—
Free Throw Percentage71.4%—
Two Pointers Made0.13rd3596/3720
Two Pointers Attempted0.44th3571/3720
Two Point Percentage33.3%—
Shot ProfileOffense▶
Three-Point Attempt Rate57.1%—
Free Throw Rate33.3%—
Shot LocationsOffense▶
Paint Makes06th3153/3347
Paint Attempts0.16th3140/3347
Paint Percentage33.3%—
Mid Range Makes013th2498/3347
Mid Range Attempts04th3053/3347
PlaymakingOffense▶
Assists0.211th3306/3720
Turnovers0100th13/3720
Assist to Turnover Ratio5.00—
Points Created by Assists0.12nd3149/3217
Rebounding▶
Rebounds0.31st3674/3720
ReboundingOffense▶
Offensive Rebounds0.15th3532/3720
ReboundingDefense▶
Defensive Rebounds0.21st3673/3720
DefenseDefense▶
Steals0.17th3471/3720
Blocks06th3276/3720
Personal Fouls0.399th56/3720
Impact▶
Plus Minus-0.732nd2316/3409
23 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
DAVMarch 6, 2020VCUVCU2000000-0000000
DAVFeb 25, 2020LASLAS7411111-2200000
DAVFeb 18, 2020@JOESJOES5001010-0000000
DAVFeb 14, 2020@SBUSBU3522110-0010000
DAVFeb 11, 2020FORFOR4312110-0010000
DAVFeb 1, 2020MASSMASS8002010-0010000
DAVJan 29, 2020@GWGW0000000-0000000
DAVJan 25, 2020GMUGMU0000000-0000000
DAVJan 19, 2020@FORFOR3000000-0100001
DAVJan 14, 2020RICHRICH3000000-0000000
DAVJan 8, 2020@URIURI11524120-0010001
DAVJan 5, 2020@DUQDUQ6003010-0001011
DAVDec 30, 2019@VANVAN1000000-0000001
DAVDec 10, 2019COPPCOPP9413131-2111000
DAVDec 7, 2019@NENE7311001-1000000
DAVDec 1, 2019TEMTEM0000000-0000000
DAVNov 29, 2019FAIRFAIR2000000-0100000
DAVNov 28, 2019@MARQMARQ8001000-0100001
DAVNov 22, 2019WAKEWAKE2000000-0000000
DAVNov 19, 2019NEVNEV2000000-0000000
DAVNov 16, 2019UNCWUNCW2200002-2000000
DAVNov 12, 2019@CLTCLT1000000-0000001
DAVNov 8, 2019AUBAUB1001010-0000000
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2019-20DAV233.81.10.30.238.1%41.7%54%—
2018-19DAV142.60.900.345.5%37.5%56.8%—

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.