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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.

TAR

Dior Johnson

Dior Johnson is 3754th of 4163 players in offensive rebounds, at 0.2 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 10 shown▶
Playing Time▶
Games Played35
Minutes8.516th3483/4163
Games Started0
ScoringOffense▶
Usage Rate18.3%49th2113/4163
Points2.925th3124/4163
ShootingOffense▶
Field Goals Made1.125th3112/4163
Field Goals Attempted2.424th3155/4163
Field Goal Percentage45.9%—
Three-Pointers Made0.231st2844/4163
Effective Field Goal Percentage50.0%—
Three-Pointers Attempted0.729th2971/4163
Three-Point Percentage30.4%—
Free Throws Made0.528th3005/4163
Free Throws Attempted0.619th3350/4163
True Shooting Percentage54.9%—
Free Throw Percentage90.0%—
Two Pointers Made0.934th2733/4163
Two Pointers Attempted1.833rd2779/4163
Two Point Percentage51.6%—
Shot ProfileOffense▶
Three-Point Attempt Rate27.1%—
Free Throw Rate23.5%—
Shot LocationsOffense▶
Paint Makes0.428th2728/3803
Paint Attempts0.827th2766/3803
Paint Percentage53.6%—
Mid Range Makes0.269th1168/3803
Mid Range Attempts0.461st1497/3803
Mid Range Percentage46.2%—
PlaymakingOffense▶
Assists0.846th2264/4163
Turnovers0.672nd1180/4163
Assist to Turnover Ratio1.45—
Points Created by Assists1.446th1979/3696
Rebounding▶
Rebounds112th3646/4163
ReboundingOffense▶
Offensive Rebounds0.210th3754/4163
ReboundingDefense▶
Defensive Rebounds0.816th3507/4163
DefenseDefense▶
Steals0.324th3146/4163
Blocks06th3690/4163
Personal Fouls0.789th446/4163
Impact▶
Plus Minus-131st2645/3842
Regularized Adjusted Plus-Minus0.7754th1654/3635
ImpactOffense▶
Offensive RAPM1.4674th939/3635
ImpactDefense▶
Defensive RAPM-0.6928th2616/3635
On Off▶
Net Rating with Him On-11.516th3000/3579
Net Rating with Him Off-1.255th1555/3443
On Off Difference-10.325th2583/3443
Possessions with Him On332
35 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UCFApril 6, 2025NEBNEB18214020-0301002
UCFApril 5, 2025@VILLVILL221357350-0200001
UCFApril 3, 2025@CINCIN9423000-0100002
UCFApril 1, 2025ORSTORST18846000-0041021
UCFMarch 12, 2025@KUKU#213001010-0010000
UCFMarch 11, 2025@UTAHUTAH5000000-0000020
UCFMarch 8, 2025@WVUWVU5001000-0010000
UCFMarch 5, 2025OKSTOKST7101011-2200000
UCFMarch 1, 2025@TCUTCU6313110-0000000
UCFFeb 26, 2025KSUKSU12522001-1311002
UCFFeb 23, 2025UTAHUTAH2002000-0100010
UCFFeb 19, 2025@OKSTOKST7822113-3310032
UCFFeb 11, 2025ISUISU#117212000-0010000
UCFFeb 8, 2025@BAYBAY15213010-0011011
UCFFeb 5, 2025CINCIN11625022-2100000
UCFFeb 1, 2025BYUBYU#143001010-0100010
UCFJan 28, 2025@KUKU#215001010-0000000
UCFJan 25, 2025TCUTCU7001000-0020000
UCFJan 21, 2025@ISUISU#1110524120-0100031
UCFJan 18, 2025HOUHOU#16212000-0200000
UCFJan 14, 2025@ASUASU5000000-0000000
UCFJan 11, 2025@ARIZARIZ#107212000-0110003
UCFJan 8, 2025COLOCOLO7000000-0020002
UCFJan 5, 2025KUKU#216625002-2100000
UCFDec 21, 2024JAXJAX10424000-0130010
UCFDec 14, 2024TLSATLSA10412012-2221003
UCFDec 8, 2024TARTAR8213010-0012010
UCFDec 1, 2024CBUCBU7000000-0200002
UCFNov 27, 2024MILWMILW17946110-0221021
UCFNov 24, 2024LSULSU8412012-2000000
UCFNov 22, 2024@WISWIS#12131134005-6142010
UCFNov 19, 2024TNTCTNTC4003000-0410010
UCFNov 12, 2024FAUFAU9001000-0110011
UCFNov 8, 2024PFWPFW2000000-0000000
UCFNov 4, 2024TA&MTA&M#235002010-0000000
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2025-26TAR2026.2243.31.651.8%53.8%65.6%13.6
2024-25UCF358.52.910.845.9%30.4%54.9%—

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.