Jay Nagle

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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.

IDST

Season

Ranked vs

Side

Scale

Stats

Teammate

Jay Nagle

F2022-23

Did you knowIn assist to turnover ratio, Jay Nagle is 418th of 3278 players, at 1.74.

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 Played32

Minutes27.574th1064/4122

Games Started29

ScoringOffense▶

Usage Rate11.4%7th3838/4122

Points544th2317/4122

ShootingOffense▶

Field Goals Made1.843rd2332/4122

Field Goals Attempted4.547th2195/4122

Field Goal Percentage40.6%—

Three-Pointers Made0.656th1820/4122

Effective Field Goal Percentage47.2%—

Three-Pointers Attempted258th1721/4122

Three-Point Percentage29.7%—

Free Throws Made0.845th2278/4122

Free Throws Attempted140th2491/4122

True Shooting Percentage50.8%—

Free Throw Percentage75.8%—

Two Pointers Made1.245th2272/4122

Two Pointers Attempted2.545th2274/4122

Two Point Percentage49.4%—

Shot ProfileOffense▶

Three-Point Attempt Rate44.8%—

Free Throw Rate23.1%—

Shot LocationsOffense▶

Paint Makes0.750th1862/3722

Paint Attempts1.247th1976/3722

Paint Percentage56.4%—

Mid Range Makes0.159th1526/3722

Mid Range Attempts0.355th1649/3722

Mid Range Percentage36.4%—

PlaymakingOffense▶

Assists1.569th1270/4122

Turnovers0.859th1700/4122

Assist to Turnover Ratio1.7487th418/3278

Points Created by Assists2.674th922/3586

Rebounding▶

Rebounds4.377th951/4122

Rebound Rate10.9%61st1229/3177

ReboundingOffense▶

Offensive Rebounds1.380th812/4122

ReboundingDefense▶

Defensive Rebounds373rd1128/4122

DefenseDefense▶

Steals0.652nd1978/4122

Blocks0.472nd1147/4122

Personal Fouls1.463rd1534/4122

Impact▶

Box Plus-Minus1.037th2013/3177

Value over Replacement0.850th1589/3177

Player Efficiency Rating10.621st2493/3177

Win Shares0.847th1670/3177

Estimated Wins0.849th1606/3177

Plus Minus-1.718th3094/3781

Win Shares per 48 Minutes0.0439th1925/3174

Possessions Played1,407

Regularized Adjusted Plus-Minus1.5466th1183/3440

ImpactOffense▶

Offensive Box Plus-Minus0.243rd1805/3177

Box Creation0.611th2817/3177

Assist Percentage9.947th1680/3177

Offensive Rebound Percentage6.665th1096/3177

Turnover Percentage14.656th1398/3177

Offensive Rating107.461st1230/3174

Offensive Win Shares0.657th1354/3177

Offensive RAPM1.8680th686/3440

ImpactDefense▶

Defensive Box Plus-Minus0.735th2054/3177

Defensive Rating106.927th2324/3177

Defensive Rebound Percentage15.459th1299/3177

Steal Percentage1.325th2298/3177

Block Percentage1.660th1239/3177

Defensive Win Shares0.130th2206/3177

Defensive RAPM-0.3235th2238/3440

On Off▶

Net Rating with Him On6.467th1112/3400

Net Rating with Him Off0.750th1561/3119

On Off Difference5.767th1028/3119

Possessions with Him On1,132

Game log32 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TOV	PF
March 6, 2023	@MONT	28	0	0	2	0	1	0-0	4	1	0	0	1	1
Feb 27, 2023	@UNCO	29	4	2	6	0	2	0-0	4	0	0	0	0	5
Feb 25, 2023	EWU	34	4	2	4	0	0	0-1	7	4	1	0	1	0
Feb 23, 2023	IDHO	31	5	2	8	0	1	1-2	5	2	1	1	2	1
Feb 18, 2023	@SAC	20	5	2	3	1	1	0-1	5	0	0	0	0	4
Feb 16, 2023	@PRST	30	9	4	5	1	2	0-0	3	2	2	0	2	1
Feb 11, 2023	MTST	22	3	1	3	1	1	0-0	5	1	0	1	1	0
Feb 9, 2023	MONT	30	4	2	4	0	1	0-0	4	0	0	0	0	0
Feb 6, 2023	@NAU	26	15	6	12	2	5	1-1	5	2	0	0	2	0
Feb 4, 2023	WEB	43	7	1	3	0	2	5-6	6	2	0	1	1	2
Jan 28, 2023	@IDHO	39	5	2	5	1	3	0-0	5	3	1	0	0	2
Jan 26, 2023	@EWU	23	2	1	4	0	1	0-0	3	1	0	1	1	2
Jan 21, 2023	PRST	35	7	3	4	1	2	0-0	3	1	1	0	2	1
Jan 19, 2023	SAC	27	4	2	2	0	0	0-0	1	1	0	1	0	2
Jan 14, 2023	@MONT	32	10	4	7	2	5	0-1	2	2	0	0	0	1
Jan 12, 2023	@MTST	30	9	3	7	3	6	0-0	3	4	0	1	0	3
Jan 7, 2023	@WEB	29	12	4	5	1	2	3-3	6	1	1	0	1	4
Dec 31, 2022	UNCO	23	3	1	3	0	0	1-2	3	1	0	0	0	2
Dec 29, 2022	NAU	23	0	0	3	0	2	0-0	7	1	1	0	3	3
Dec 20, 2022	@GCU	29	11	3	4	2	3	3-3	6	1	1	1	1	1
Dec 17, 2022	@WASH	17	0	0	3	0	0	0-0	0	1	0	0	0	0
Dec 10, 2022	STMN	19	2	1	4	0	2	0-0	4	2	1	0	1	2
Dec 6, 2022	UMW	15	2	1	2	0	1	0-0	3	0	1	0	1	0
Dec 3, 2022	SUU	20	0	0	3	0	1	0-0	2	0	0	0	0	1
Nov 29, 2022	@KC	31	2	0	6	0	2	2-2	5	3	0	1	0	0
Nov 27, 2022	@CARK	35	4	1	4	0	2	2-2	5	2	0	1	1	1
Nov 26, 2022	BCU	23	0	0	2	0	1	0-0	4	3	0	0	0	0
Nov 23, 2022	@LIN	19	11	4	8	2	5	1-1	2	1	1	0	1	0
Nov 18, 2022	DEN	28	3	1	3	0	1	1-2	5	2	2	0	1	2
Nov 14, 2022	@UTAH	34	4	1	5	0	3	2-2	8	0	1	0	0	2
Nov 10, 2022	WCLF	29	12	4	8	2	6	2-2	7	2	0	3	2	1
Nov 7, 2022	@BYU	27	1	0	1	0	0	1-2	5	1	3	0	2	1

By seasonPer game5 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2022-23	32	27.5	5	4.3	1.5	40.6%	29.7%	50.8%	1.0
2021-22	23	7.1	1.1	1	0.8	36%	30.8%	47%	—
2020-21	15	6.3	1.9	0.6	0.4	34.8%	26.3%	50.3%	—
2019-20	31	9.8	1.9	1.1	0.5	35.7%	33.3%	50.8%	1.8
2018-19	32	11.9	3.5	1.8	0.5	48.1%	44.1%	68.6%	6.2

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.