Diago Quinn

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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.

MONM

Season

2018-19

Ranked vs

Side

Scale

Stats

Teammate

Diago Quinn

C2018-19

Worth knowingDiago Quinn places 3088th of 3105 players in assist to turnover ratio, at 0.11.

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 Played35

Minutes21.856th1732/3918

Games Started22

ScoringOffense▶

Usage Rate22.5%77th902/3918

Points9.370th1162/3918

ShootingOffense▶

Field Goals Made3.269th1225/3918

Field Goals Attempted6.563rd1431/3918

Field Goal Percentage48.7%78th382/1753

Three-Pointers Made09th3247/3918

Effective Field Goal Percentage48.7%33rd1181/1753

Three-Pointers Attempted05th3505/3918

Free Throws Made2.991st357/3918

Free Throws Attempted4.292nd315/3918

True Shooting Percentage55.5%54th811/1753

Free Throw Percentage70.1%41st770/1296

Two Pointers Made3.284th609/3918

Two Pointers Attempted6.586th537/3918

Two Point Percentage48.7%37th581/924

Shot ProfileOffense▶

Three-Point Attempt Rate0%1st1708/1753

Free Throw Rate64.5%98th32/1753

Shot LocationsOffense▶

Paint Makes1.595th158/3186

Paint Attempts2.395th148/3186

Paint Percentage64.6%42nd109/187

Mid Range Makes0.182nd576/3186

Mid Range Attempts0.991st281/3186

Mid Range Percentage12.9%14th300/349

PlaymakingOffense▶

Assists0.18th3590/3918

Turnovers1.340th2361/3918

Assist to Turnover Ratio0.111st3088/3105

Points Created by Assists0.223rd2116/2747

Rebounding▶

Rebounds5.990th388/3918

Rebound Rate17%92nd243/3064

ReboundingOffense▶

Offensive Rebounds2.496th166/3918

ReboundingDefense▶

Defensive Rebounds3.582nd724/3918

DefenseDefense▶

Steals0.325th2942/3918

Blocks0.992nd326/3918

Personal Fouls2.712th3463/3918

Impact▶

Box Plus-Minus0.938th1910/3064

Value over Replacement0.746th1657/3064

Player Efficiency Rating19.182nd544/3064

Win Shares1.567th1008/3064

Estimated Wins0.848th1577/3064

Plus Minus-0.724th2630/3458

Win Shares per 48 Minutes0.0864th1109/3064

Possessions Played1,313

Regularized Adjusted Plus-Minus0.7863rd836/2231

ImpactOffense▶

Offensive Box Plus-Minus0.850th1533/3064

Box Creation1.233rd2039/3064

Assist Percentage1.51st3040/3064

Offensive Rebound Percentage13.695th147/3064

Turnover Percentage13.769th931/3064

Offensive Rating106.059th1239/3064

Offensive Win Shares0.967th1016/3064

Offensive RAPM-0.9022nd1744/2231

ImpactDefense▶

Defensive Box Plus-Minus0.125th2281/3064

Defensive Rating102.253rd1433/3064

Defensive Rebound Percentage20.584th477/3064

Steal Percentage0.75th2868/3064

Block Percentage6.193rd205/3064

Defensive Win Shares0.661st1191/3064

Defensive RAPM1.6887th283/2231

On Off▶

Net Rating with Him On-18.214th1825/2112

Net Rating with Him Off-13.684th193/1185

On Off Difference-4.637th744/1185

Possessions with Him On698

Game log35 games

Date	Opp	MIN	PTS	FGM	FGA	FT	REB	AST	STL	BLK	TOV	PF
March 11, 2019	@IONA	24	13	5	5	3-4	3	0	0	1	1	3
March 10, 2019	@CAN	21	14	5	7	4-5	10	0	0	2	1	3
March 9, 2019	@QUIN	27	12	4	6	4-7	7	0	1	0	0	2
March 7, 2019	NIA	32	14	5	12	4-7	9	0	0	3	2	2
March 1, 2019	@MAN	24	7	2	3	3-4	4	0	0	2	1	3
Feb 24, 2019	QUIN	26	5	1	5	3-4	5	0	0	3	3	3
Feb 22, 2019	CAN	21	13	5	10	3-4	8	0	1	1	1	2
Feb 17, 2019	MRST	30	16	6	14	4-6	10	0	1	1	0	2
Feb 15, 2019	@RID	31	11	4	4	3-5	12	1	0	1	0	4
Feb 9, 2019	@FAIR	23	4	2	10	0-2	9	0	0	0	0	3
Feb 7, 2019	@SPU	26	10	3	10	4-6	3	0	0	1	3	2
Feb 2, 2019	RID	22	17	4	6	9-10	7	1	0	1	1	4
Jan 31, 2019	SIE	31	10	4	4	2-2	5	0	0	0	3	4
Jan 26, 2019	@NIA	28	8	3	9	2-4	7	0	0	0	2	2
Jan 24, 2019	@CAN	22	5	1	8	3-6	8	1	1	0	0	1
Jan 20, 2019	IONA	17	5	2	4	1-3	5	0	0	1	2	5
Jan 17, 2019	FAIR	25	15	5	8	5-5	8	2	0	2	2	4
Jan 14, 2019	@SIE	36	14	6	11	2-4	9	0	0	1	0	4
Jan 12, 2019	MAN	20	8	4	5	0-1	3	0	1	0	1	5
Jan 10, 2019	@QUIN	26	10	4	9	2-4	6	0	1	0	1	4
Jan 5, 2019	SPU	30	19	5	8	9-12	8	0	1	0	1	2
Jan 3, 2019	@IONA	22	20	7	9	6-7	7	0	0	2	1	1
Dec 31, 2018	@PENN	31	19	6	14	7-9	14	0	0	2	1	3
Dec 20, 2018	YALE	22	4	2	4	0-0	2	0	0	0	3	2
Dec 8, 2018	@UALB	25	4	1	4	2-4	5	0	1	0	0	3
Dec 5, 2018	@HOF	20	13	5	8	3-4	6	0	0	2	1	1
Dec 1, 2018	@BUCK	25	6	2	6	2-2	5	0	0	2	4	3
Nov 28, 2018	@UK#8	24	8	1	3	6-8	5	0	0	1	2	2
Nov 24, 2018	PRIN	0	3	0	2	3-4	3	0	0	0	0	4
Nov 18, 2018	CSUF	13	6	2	6	2-2	2	0	0	0	2	3
Nov 16, 2018	VAL	9	4	2	4	0-0	7	0	1	0	1	2
Nov 15, 2018	@WVU	8	2	1	2	0-0	3	0	0	0	1	2
Nov 12, 2018	@JOES	9	2	1	4	0-0	2	0	0	1	1	1
Nov 9, 2018	@COLG	5	4	1	2	2-2	1	0	0	0	3	1
Nov 6, 2018	LEH	7	0	0	2	0-0	0	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.