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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.

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Season

Ranked vs

Side

Scale

Stats

Teammate

Ty-Laur Johnson

G2024-25

Stands outTy-Laur Johnson is 107th of 3223 players in steal percentage, at 3.7.

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 Played29

Minutes23.662nd1567/4163

Games Started19

ScoringOffense▶

Usage Rate20.0%62nd1593/4163

Points6.150th2074/4163

ShootingOffense▶

Field Goals Made245th2289/4163

Field Goals Attempted5.656th1816/4163

Field Goal Percentage35.0%5th2116/2220

Three-Pointers Made0.547th2199/4163

Effective Field Goal Percentage39.3%2nd2181/2220

Three-Pointers Attempted255th1855/4163

Three-Point Percentage24.1%—

Free Throws Made1.771st1225/4163

Free Throws Attempted264th1502/4163

True Shooting Percentage46.8%6th2077/2220

Free Throw Percentage83.1%—

Two Pointers Made1.552nd2001/4163

Two Pointers Attempted3.661st1614/4163

Two Point Percentage41.0%—

Shot ProfileOffense▶

Three-Point Attempt Rate35.6%41st1317/2220

Free Throw Rate36.2%65th783/2220

Shot LocationsOffense▶

Paint Makes1.159th1557/3803

Paint Attempts2.668th1200/3803

Paint Percentage41.9%—

Mid Range Makes0.381st728/3803

Mid Range Attempts0.778th844/3803

Mid Range Percentage40.0%—

PlaymakingOffense▶

Assists2.789th473/4163

Turnovers2.37th3882/4163

Assist to Turnover Ratio1.2055th1502/3307

Points Created by Assists5.190th367/3696

Rebounding▶

Rebounds1.931st2887/4163

Rebound Rate5.2%9th2935/3223

ReboundingOffense▶

Offensive Rebounds0.325th3104/4163

ReboundingDefense▶

Defensive Rebounds1.637th2629/4163

DefenseDefense▶

Steals1.594th245/4163

Blocks0.361st1602/4163

Personal Fouls2.221st3280/4163

Impact▶

Box Plus-Minus1.139th1969/3223

Value over Replacement0.743rd1820/3223

Player Efficiency Rating9.111th2853/3223

Win Shares-0.78th2965/3223

Estimated Wins0.743rd1838/3223

Plus Minus1.169th1183/3842

Win Shares per 48 Minutes-0.0410th2904/3223

Possessions Played1,154

Regularized Adjusted Plus-Minus1.0860th1463/3635

ImpactOffense▶

Offensive Box Plus-Minus-2.810th2888/3223

Box Creation2.770th964/3223

Assist Percentage21.687th402/3223

Offensive Rebound Percentage1.916th2694/3223

Turnover Percentage25.93rd3135/3223

Offensive Rating85.64th3104/3223

Offensive Win Shares-1.72nd3171/3223

Offensive RAPM0.8964th1305/3635

ImpactDefense▶

Defensive Box Plus-Minus3.991st281/3223

Defensive Rating100.782nd579/3223

Defensive Rebound Percentage8.39th2923/3223

Steal Percentage3.796th107/3223

Block Percentage1.556th1387/3223

Defensive Win Shares1.081st593/3223

Defensive RAPM0.1947th1910/3635

On Off▶

Net Rating with Him On-15.89th3237/3579

Net Rating with Him Off-8.776th833/3443

On Off Difference-7.132nd2337/3443

Possessions with Him On1,092

Game log29 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TOV	PF
March 13, 2025	UNC	15	2	0	5	0	2	2-2	0	0	1	0	0	1
March 8, 2025	GT	25	8	3	7	2	5	0-0	1	4	0	0	2	2
March 3, 2025	@DUKE#2	25	14	5	12	1	1	3-3	3	1	0	0	2	3
March 1, 2025	ND	34	2	1	3	0	0	0-0	0	4	4	0	2	2
Feb 26, 2025	UVA	23	5	2	5	0	2	1-1	1	1	1	0	3	2
Feb 22, 2025	@NCSU	23	2	1	4	0	0	0-0	0	3	0	0	1	1
Feb 15, 2025	@SMU	30	12	4	5	0	0	4-5	0	2	1	0	1	4
Feb 12, 2025	FSU	24	0	0	4	0	1	0-0	0	2	1	1	3	4
Feb 8, 2025	@CAL	38	6	2	8	0	1	2-2	1	6	4	0	2	3
Feb 5, 2025	@STAN	36	14	5	13	2	4	2-4	6	4	2	1	4	5
Feb 1, 2025	PITT	32	16	3	8	2	6	8-8	2	5	2	2	4	4
Jan 28, 2025	@LOU#24	30	8	3	10	0	2	2-2	4	3	2	0	5	4
Jan 25, 2025	DUKE#2	37	8	2	7	0	4	4-5	5	8	3	0	1	3
Jan 21, 2025	UNC	30	7	2	5	1	2	2-4	4	2	1	0	5	3
Jan 18, 2025	@VT	28	8	2	5	0	2	4-4	2	3	3	0	1	2
Jan 15, 2025	STAN	32	8	4	9	0	1	0-0	6	3	3	0	2	4
Jan 11, 2025	@MIA	27	5	2	5	1	2	0-0	2	6	3	1	1	2
Jan 4, 2025	NCSU	38	9	2	7	1	4	4-4	3	4	1	0	3	1
Dec 31, 2024	@SYR	20	11	4	8	2	4	1-1	2	2	2	0	2	4
Dec 21, 2024	@CLEM	9	6	2	4	0	1	2-2	2	1	1	0	3	1
Dec 17, 2024	JMU	2	0	0	1	0	1	0-0	0	0	0	0	1	0
Dec 7, 2024	BC	20	4	1	2	0	1	2-4	1	4	0	0	1	3
Dec 3, 2024	@TA&M#23	3	0	0	1	0	0	0-0	0	0	0	0	2	0
Nov 29, 2024	MINN	24	2	1	5	0	2	0-0	2	4	3	0	4	0
Nov 23, 2024	DETM	14	5	2	5	1	4	0-0	2	1	1	0	2	1
Nov 19, 2024	WCU	18	0	0	5	0	2	0-0	0	3	2	1	2	3
Nov 16, 2024	@XAV	16	4	1	2	0	1	2-3	1	1	0	1	1	0
Nov 7, 2024	NCAT	16	4	1	2	0	1	2-2	1	2	1	0	4	0
Nov 4, 2024	COPP	16	7	2	6	1	2	2-3	4	0	1	1	2	3

By seasonPer game3 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2025-26	23	28	14.6	2.7	4.3	43.2%	30.9%	53.2%	4.0
2024-25	29	23.6	6.1	1.9	2.7	35.0%	24.1%	46.8%	1.1
2023-24	30	23.2	8.7	1.8	3.6	37.4%	19.4%	49.9%	1.8

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.