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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.

RID

Zocko Littleton Jr.

Zocko Littleton Jr. ranks 99th of 4163 players in personal fouls, at 0.3 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 Played20
Minutes56th3919/4163
Games Started0
ScoringOffense▶
Usage Rate16.4%36th2655/4163
Points0.84th4008/4163
ShootingOffense▶
Field Goals Made0.35th3966/4163
Field Goals Attempted1.310th3732/4163
Field Goal Percentage23.1%—
Three-Pointers Made0.128th3010/4163
Effective Field Goal Percentage28.8%—
Three-Pointers Attempted0.730th2927/4163
Three-Point Percentage21.4%—
Free Throws Made02nd4024/4163
Free Throws Attempted01st4056/4163
True Shooting Percentage28.8%—
Two Pointers Made0.15th3962/4163
Two Pointers Attempted0.69th3784/4163
Two Point Percentage25.0%—
Shot ProfileOffense▶
Three-Point Attempt Rate53.8%—
Free Throw Rate0.0%—
Shot LocationsOffense▶
Paint Makes01st3716/3803
Paint Attempts0.11st3776/3803
Paint Percentage0.0%—
Mid Range Makes014th2705/3803
Mid Range Attempts0.245th2083/3803
Mid Range Percentage0.0%—
PlaymakingOffense▶
Assists0.15th3946/4163
Turnovers0.293rd264/4163
Assist to Turnover Ratio0.50—
Points Created by Assists0.36th3454/3696
Rebounding▶
Rebounds0.32nd4075/4163
ReboundingOffense▶
Offensive Rebounds0.12nd4072/4163
ReboundingDefense▶
Defensive Rebounds0.33rd4049/4163
DefenseDefense▶
Steals0.320th3295/4163
Blocks06th3690/4163
Personal Fouls0.398th99/4163
Impact▶
Plus Minus0.356th1705/3842
20 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
RIDMarch 12, 2025@QUINQUIN2000000-0000000
RIDMarch 6, 2025CANCAN12424020-0101011
RIDFeb 28, 2025@MRMKMRMK2000000-0100001
RIDFeb 21, 2025FAIRFAIR14213020-0201002
RIDFeb 16, 2025@SPUSPU2311110-0001010
RIDFeb 8, 2025SIESIE2000000-0000010
RIDFeb 6, 2025@SHUSHU6312110-0000001
RIDFeb 2, 2025MRMKMRMK3001000-0000000
RIDJan 25, 2025@QUINQUIN1000000-0000000
RIDJan 23, 2025IONAIONA1000000-0000000
RIDJan 18, 2025@MRSTMRST3001010-0000000
RIDJan 16, 2025MSMMSM2001000-0000000
RIDJan 12, 2025@NIANIA10000000-0000000
RIDJan 10, 2025@CANCAN3001010-0000000
RIDDec 22, 2024@NCSUNCSU1000000-0000000
RIDDec 14, 2024STBKSTBK15316130-0102000
RIDNov 27, 2024@VILLVILL3001000-0000000
RIDNov 19, 2024@IOWAIOWA3000000-0010000
RIDNov 9, 2024@COPPCOPP6001010-0000010
RIDNov 4, 2024@UCLAUCLA#189004020-0110000
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2024-25RID2050.80.30.123.1%21.4%28.8%—
2022-23APP85.520.90.837.5%22.2%47.4%—

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.