Dave Kasanganay

Every number the site holds for a team or a player, in one place.

New here?

How to read this page

College Basketball Research

▶

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.

ECU

Season

Ranked vs

Side

Scale

Stats

Teammate

Dave Kasanganay

G2022-23

Of noteDave Kasanganay sits 3386th of 3722 players in paint makes, 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.

Cardsall 10 shown▶

Playing Time▶

Games Played21

Minutes8.316th3447/4122

Games Started6

ScoringOffense▶

Usage Rate11.7%8th3802/4122

Points1.410th3719/4122

ShootingOffense▶

Field Goals Made0.59th3760/4122

Field Goals Attempted1.412th3640/4122

Field Goal Percentage33.3%—

Three-Pointers Made0.236th2637/4122

Effective Field Goal Percentage41.7%—

Three-Pointers Attempted0.834th2716/4122

Three-Point Percentage29.4%—

Free Throws Made0.214th3545/4122

Free Throws Attempted0.311th3644/4122

True Shooting Percentage45.3%—

Free Throw Percentage71.4%—

Two Pointers Made0.28th3803/4122

Two Pointers Attempted0.69th3747/4122

Two Point Percentage38.5%—

Shot ProfileOffense▶

Three-Point Attempt Rate56.7%—

Free Throw Rate23.3%—

Shot LocationsOffense▶

Paint Makes0.19th3386/3722

Paint Attempts0.210th3347/3722

Paint Percentage40%—

Mid Range Makes0.153rd1756/3722

Mid Range Attempts0.240th2233/3722

Mid Range Percentage50%—

PlaymakingOffense▶

Assists0.317th3420/4122

Turnovers0.485th599/4122

Assist to Turnover Ratio0.75—

Points Created by Assists0.419th2885/3586

Rebounding▶

Rebounds0.65th3912/4122

ReboundingOffense▶

Offensive Rebounds03rd4005/4122

ReboundingDefense▶

Defensive Rebounds0.58th3790/4122

DefenseDefense▶

Steals0.544th2304/4122

Blocks019th3344/4122

Personal Fouls0.885th615/4122

Impact▶

Plus Minus0.763rd1408/3781

Regularized Adjusted Plus-Minus1.1159th1396/3440

ImpactOffense▶

Offensive RAPM-1.2121st2733/3440

ImpactDefense▶

Defensive RAPM2.3388th418/3440

On Off▶

Net Rating with Him On19.693rd230/3400

Net Rating with Him Off-0.856th1376/3119

On Off Difference20.493rd209/3119

Possessions with Him On218

Game log21 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TOV	PF
March 10, 2023	@HOU#3	2	0	0	0	0	0	0-0	1	0	0	0	0	0
March 9, 2023	@USF	21	10	3	7	3	4	1-1	0	0	1	0	0	2
March 5, 2023	@UCF	13	0	0	2	0	1	0-0	1	0	2	0	0	0
March 3, 2023	@TULN	8	0	0	1	0	0	0-0	0	0	0	0	0	1
March 1, 2023	TULN	20	3	1	6	0	5	1-2	5	1	2	0	1	2
Feb 25, 2023	HOU#3	2	0	0	0	0	0	0-0	0	0	0	0	1	1
Feb 21, 2023	@TLSA	20	2	0	1	0	1	2-2	0	2	2	0	1	5
Feb 15, 2023	CIN	0	0	0	0	0	0	0-0	0	0	0	0	0	0
Feb 1, 2023	@USF	5	0	0	1	0	0	0-0	0	0	0	0	0	0
Jan 11, 2023	@CIN	3	0	0	0	0	0	0-0	0	0	0	0	0	0
Dec 21, 2022	HPU	0	0	0	0	0	0	0-0	0	0	0	0	0	0
Dec 6, 2022	@UNCW	0	0	0	0	0	0	0-0	0	0	0	0	0	0
Dec 2, 2022	CAM	2	0	0	0	0	0	0-0	1	0	0	0	0	0
Nov 29, 2022	SCST	16	0	0	3	0	1	0-0	1	0	0	1	1	1
Nov 26, 2022	@ODU	11	1	0	1	0	1	1-2	0	0	0	0	1	2
Nov 23, 2022	UTA	7	0	0	0	0	0	0-0	0	0	0	0	1	0
Nov 22, 2022	@TOL	9	2	1	1	0	0	0-0	0	1	0	0	0	1
Nov 21, 2022	INST	14	5	2	3	1	2	0-0	2	0	2	0	2	2
Nov 16, 2022	HAMP	15	7	3	3	1	1	0-0	1	1	1	0	0	0
Nov 12, 2022	PRES	6	0	0	1	0	1	0-0	0	1	0	0	0	0
Nov 8, 2022	MER	1	0	0	0	0	0	0-0	0	0	0	0	0	0

By seasonPer game3 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2022-23	21	8.3	1.4	0.6	0.3	33.3%	29.4%	45.3%	—
2021-22	5	5	0.8	0.4	0	16.7%	25%	29.1%	—
2019-20	15	10.3	3.1	1.4	0.5	41.3%	38.5%	48.6%	—

About College Basketball Research

▶

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.