Ray Kowalski

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

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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.

DEN

Season

Ranked vs

Side

Scale

Stats

Teammate

Ray Kowalski

G2019-20

Cardsall 7 shown▶

Playing Time▶

Games Played10

Minutes8.8

Games Started0

ScoringOffense▶

Usage Rate59.9%

Points2.7

ShootingOffense▶

Field Goals Made1

Field Goals Attempted1.7

Field Goal Percentage58.8%

Three-Pointers Made0.5

Effective Field Goal Percentage73.5%

Three-Pointers Attempted1.1

Three-Point Percentage45.5%

Free Throws Made0.2

Free Throws Attempted0.5

True Shooting Percentage70.3%

Free Throw Percentage40%

Two Pointers Made0.5

Two Pointers Attempted0.6

Two Point Percentage83.3%

Shot ProfileOffense▶

Three-Point Attempt Rate64.7%

Free Throw Rate29.4%

PlaymakingOffense▶

Assists0.1

Turnovers0.4

Assist to Turnover Ratio0.25

Rebounding▶

Rebounds0.7

ReboundingOffense▶

Offensive Rebounds0

ReboundingDefense▶

Defensive Rebounds0.7

DefenseDefense▶

Steals0.4

Blocks0.1

Personal Fouls1.1

Game log10 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TOV	PF
Dec 29, 2019	NDSU	3	0	0	1	0	1	0-0	0	0	0	0	0	0
Dec 21, 2019	WYO	3	0	0	1	0	0	0-0	0	0	0	0	0	1
Dec 17, 2019	@UNCO	17	7	3	3	1	1	0-1	3	0	1	0	0	3
Dec 14, 2019	AF	12	10	4	5	2	3	0-0	2	0	0	0	0	1
Dec 8, 2019	@UCLA	3	1	0	1	0	1	1-2	0	0	0	0	0	0
Nov 30, 2019	SEMO	4	0	0	1	0	1	0-0	0	0	0	0	0	0
Nov 29, 2019	CSUF	6	3	1	1	1	1	0-0	0	0	0	0	0	1
Nov 23, 2019	@UCR	13	0	0	0	0	0	0-0	0	0	1	0	2	3
Nov 16, 2019	WCOL	15	0	0	1	0	1	0-0	0	0	1	0	1	1
Nov 12, 2019	@USU	12	6	2	3	1	2	1-2	2	1	1	1	1	1

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.