Zach Naylor

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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.

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Season

Ranked vs

Side

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Stats

Teammate

Zach Naylor

F2018-19

Of noteZach Naylor places 3695th of 3918 players in two pointers made, 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.

Cardsall 7 shown▶

Playing Time▶

Games Played19

Minutes4.66th3677/3918

Games Started0

ScoringOffense▶

Usage Rate10.9%6th3681/3918

Points0.74th3762/3918

ShootingOffense▶

Field Goals Made0.34th3753/3918

Field Goals Attempted0.63rd3781/3918

Field Goal Percentage41.7%—

Three-Pointers Made0.126th2883/3918

Effective Field Goal Percentage50%—

Three-Pointers Attempted0.424th2979/3918

Three-Point Percentage28.6%—

Free Throws Made0.16th3680/3918

Free Throws Attempted0.13rd3806/3918

True Shooting Percentage54.3%—

Free Throw Percentage100%—

Two Pointers Made0.26th3695/3918

Two Pointers Attempted0.33rd3779/3918

Two Point Percentage60%—

Shot ProfileOffense▶

Three-Point Attempt Rate58.3%—

Free Throw Rate16.7%—

PlaymakingOffense▶

Assists0.316th3277/3918

Turnovers0.390th399/3918

Assist to Turnover Ratio0.83—

Rebounding▶

Rebounds0.911th3493/3918

ReboundingOffense▶

Offensive Rebounds0.430th2754/3918

ReboundingDefense▶

Defensive Rebounds0.58th3585/3918

DefenseDefense▶

Steals0.110th3541/3918

Blocks0.121st3078/3918

Personal Fouls0.692nd303/3918

Game log19 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TOV	PF
March 5, 2019	UK#8	2	0	0	0	0	0	0-0	0	0	0	0	0	0
Feb 19, 2019	@SC	9	2	1	2	0	0	0-0	1	0	0	0	0	3
Feb 16, 2019	MIZ	1	0	0	0	0	0	0-0	0	0	0	0	1	0
Feb 13, 2019	@AUB#12	15	5	2	3	1	2	0-0	4	1	0	0	2	0
Feb 9, 2019	@UGA	1	0	0	0	0	0	0-0	0	0	0	0	0	0
Jan 22, 2019	@ALA	0	0	0	1	0	1	0-0	0	0	0	0	0	0
Jan 19, 2019	ARK	2	0	0	0	0	0	0-0	1	0	0	0	0	0
Jan 12, 2019	@MSST#23	1	0	0	0	0	0	0-0	0	0	0	0	0	0
Jan 5, 2019	@VAN	8	0	0	0	0	0	0-0	1	2	0	1	0	1
Dec 29, 2018	FGCU	11	5	2	3	1	2	0-0	3	1	1	0	1	1
Dec 21, 2018	@MTSU	3	0	0	1	0	1	0-0	1	0	0	0	0	1
Dec 16, 2018	UTC	1	2	0	1	0	0	2-2	1	0	1	0	0	0
Dec 12, 2018	SELA	8	0	0	0	0	0	0-0	1	0	0	0	1	0
Dec 1, 2018	ULM	4	0	0	0	0	0	0-0	0	0	0	0	0	1
Nov 28, 2018	USD	4	0	0	1	0	1	0-0	1	0	0	0	0	1
Nov 24, 2018	CIN	5	0	0	0	0	0	0-0	0	0	0	0	0	1
Nov 23, 2018	BAY	3	0	0	0	0	0	0-0	0	1	0	0	0	1
Nov 20, 2018	NICH	2	0	0	0	0	0	0-0	2	0	0	0	0	0
Nov 10, 2018	WMU	8	0	0	0	0	0	0-0	1	0	0	0	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.