Obinna Anyanwu

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College Basketball Research

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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.

CAL

Season

Ranked vs

Side

Scale

Stats

Teammate

Obinna Anyanwu

F2022-23

NotableIn defensive rebounds, Obinna Anyanwu is 3755th of 4122 players, at 0.6 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.

Cardsall 10 shown▶

Playing Time▶

Games Played27

Minutes6.511th3686/4122

Games Started0

ScoringOffense▶

Usage Rate13.3%15th3522/4122

Points1.612th3631/4122

ShootingOffense▶

Field Goals Made0.59th3750/4122

Field Goals Attempted0.74th3951/4122

Field Goal Percentage65%—

Three-Pointers Made09th3376/4122

Effective Field Goal Percentage65%—

Three-Pointers Attempted05th3685/4122

Free Throws Made0.739th2504/4122

Free Throws Attempted0.830th2865/4122

True Shooting Percentage75.2%—

Free Throw Percentage85.7%—

Two Pointers Made0.518th3375/4122

Two Pointers Attempted0.711th3651/4122

Two Point Percentage65%—

Shot ProfileOffense▶

Three-Point Attempt Rate0%—

Free Throw Rate105%—

Shot LocationsOffense▶

Paint Makes0.328th2644/3722

Paint Attempts0.522nd2902/3722

Paint Percentage64.3%—

Mid Range Makes035th2417/3722

Mid Range Attempts0.129th2649/3722

Mid Range Percentage33.3%—

PlaymakingOffense▶

Assists0.16th3872/4122

Turnovers0.481st759/4122

Assist to Turnover Ratio0.25—

Points Created by Assists0.28th3288/3586

Rebounding▶

Rebounds0.912th3646/4122

ReboundingOffense▶

Offensive Rebounds0.430th2878/4122

ReboundingDefense▶

Defensive Rebounds0.69th3755/4122

DefenseDefense▶

Steals02nd3985/4122

Blocks0.136th2648/4122

Personal Fouls0.789th448/4122

Impact▶

Plus Minus-2.512th3343/3781

Regularized Adjusted Plus-Minus-1.1124th2613/3440

ImpactOffense▶

Offensive RAPM-1.5216th2888/3440

ImpactDefense▶

Defensive RAPM0.4151st1669/3440

On Off▶

Net Rating with Him On-13.015th2873/3400

Net Rating with Him Off-21.497th104/3119

On Off Difference8.474th803/3119

Possessions with Him On247

Game log27 games

Date	Opp	MIN	PTS	FGM	FGA	FT	REB	AST	BLK	TOV	PF
March 8, 2023	@WSU	10	2	1	2	0-0	1	1	0	1	1
March 4, 2023	@ORST	2	0	0	1	0-0	0	0	0	1	2
March 2, 2023	@ORE	6	0	0	0	0-0	0	0	0	1	0
Feb 25, 2023	WSU	17	9	2	2	5-5	1	0	0	0	0
Feb 23, 2023	WASH	10	4	0	1	4-4	4	1	0	1	0
Feb 18, 2023	@UCLA#4	9	0	0	0	0-0	1	1	0	0	0
Feb 16, 2023	@USC	15	4	1	1	2-2	4	0	1	1	1
Feb 9, 2023	ARIZ#8	3	2	1	1	0-0	1	0	0	0	0
Feb 5, 2023	@UTAH	10	4	2	2	0-1	2	0	0	1	2
Feb 2, 2023	@COLO	12	4	2	2	0-0	4	0	0	2	2
Jan 28, 2023	@STAN	7	4	0	1	4-5	0	0	0	0	1
Jan 22, 2023	ORST	2	0	0	0	0-0	0	0	0	0	0
Jan 18, 2023	ORE	5	2	0	0	2-2	0	0	0	1	1
Jan 14, 2023	@WASH	2	0	0	0	0-0	0	0	0	0	0
Jan 11, 2023	@WSU	13	7	3	3	1-2	3	0	0	1	4
Jan 6, 2023	STAN	4	0	0	0	0-0	0	0	0	0	0
Dec 31, 2022	COLO	4	0	0	0	0-0	0	0	0	0	0
Dec 21, 2022	UTA	3	2	1	1	0-0	0	0	0	0	1
Dec 18, 2022	@SCU	2	0	0	0	0-0	0	0	0	1	1
Dec 10, 2022	BUT	9	0	0	1	0-0	0	0	1	0	1
Dec 7, 2022	EWU	3	0	0	0	0-0	0	0	0	0	0
Dec 4, 2022	@ARIZ#8	3	0	0	0	0-0	0	0	1	0	0
Nov 30, 2022	USC	4	0	0	0	0-0	0	0	0	0	0
Nov 26, 2022	CLEM	11	0	0	1	0-0	3	0	0	0	0
Nov 25, 2022	@TCU	6	0	0	1	0-0	0	0	0	0	0
Nov 21, 2022	TXST	3	0	0	0	0-0	1	0	0	1	1
Nov 15, 2022	@UCSD	0	0	0	0	0-0	0	0	0	0	0

By seasonPer Game2 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2022-23	27	6.5	1.6	0.9	0.1	65%	—	75.2%	—
2021-22	24	4.9	0.9	1.3	0	39.1%	0%	41.5%	—

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.