Pearse McGuinn

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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.

STO

Season

Ranked vs

Side

Scale

Stats

Teammate

Pearse McGuinn

F2025-26

One to notePearse McGuinn ranks 367th of 4184 players in personal fouls, at 0.6 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 10 shown▶

Playing Time▶

Games Played25

Minutes9.318th3428/4184

Games Started1

ScoringOffense▶

Usage Rate17.8%47th2226/4184

Points2.721st3316/4184

ShootingOffense▶

Field Goals Made121st3310/4184

Field Goals Attempted2.422nd3252/4184

Field Goal Percentage40.7%—

Three-Pointers Made0.228th3022/4184

Effective Field Goal Percentage44.1%—

Three-Pointers Attempted0.627th3038/4184

Three-Point Percentage25%—

Free Throws Made0.631st2878/4184

Free Throws Attempted0.825th3143/4184

True Shooting Percentage49.7%—

Free Throw Percentage78.9%—

Two Pointers Made0.830th2924/4184

Two Pointers Attempted1.733rd2805/4184

Two Point Percentage46.5%—

Shot ProfileOffense▶

Three-Point Attempt Rate27.1%—

Free Throw Rate32.2%—

Shot LocationsOffense▶

Paint Makes0.744th2168/3850

Paint Attempts1.445th2105/3850

Paint Percentage50%—

Mid Range Makes014th2741/3850

Mid Range Attempts0.133rd2581/3850

Mid Range Percentage0%—

PlaymakingOffense▶

Assists0.315th3564/4184

Turnovers0.670th1229/4184

Assist to Turnover Ratio0.47—

Points Created by Assists0.413th3264/3757

Rebounding▶

Rebounds1.624th3191/4184

ReboundingOffense▶

Offensive Rebounds0.647th2207/4184

ReboundingDefense▶

Defensive Rebounds118th3411/4184

DefenseDefense▶

Steals01st4084/4184

Blocks0.244th2318/4184

Personal Fouls0.691st367/4184

Impact▶

Plus Minus-1.329th2738/3879

Regularized Adjusted Plus-Minus-1.4821st2901/3669

ImpactOffense▶

Offensive RAPM-2.765th3477/3669

ImpactDefense▶

Defensive RAPM1.2869th1132/3669

On Off▶

Net Rating with Him On-6.330th2543/3623

Net Rating with Him Off-6.169th1092/3520

On Off Difference-0.250th1770/3520

Possessions with Him On335

Game log25 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	BLK	TOV	PF
March 7, 2026	@MERC	2	0	0	0	0	0	0-0	0	0	0	0	0
Feb 26, 2026	SFPA	3	4	2	2	0	0	0-0	1	0	1	0	0
Feb 19, 2026	@NHVN	6	0	0	1	0	0	0-0	2	0	0	0	1
Feb 5, 2026	@FDU	5	0	0	0	0	0	0-2	1	0	0	0	1
Jan 31, 2026	@LEM	3	0	0	0	0	0	0-0	0	0	0	0	2
Jan 26, 2026	CCSU	2	0	0	0	0	0	0-0	0	0	0	1	0
Jan 19, 2026	@SFPA	7	0	0	0	0	0	0-0	2	0	0	0	0
Jan 17, 2026	@MERC	1	0	0	0	0	0	0-0	0	0	0	1	0
Jan 10, 2026	CHST	5	0	0	0	0	0	0-0	0	0	0	2	0
Jan 8, 2026	@CCSU	6	0	0	0	0	0	0-0	0	1	0	1	0
Jan 4, 2026	@WAG	7	0	0	1	0	0	0-0	2	0	0	0	0
Jan 2, 2026	NHVN	16	2	1	4	0	0	0-0	1	2	0	1	1
Dec 22, 2025	@SYR	12	4	1	4	0	1	2-2	5	0	0	0	0
Dec 17, 2025	@UNH	10	3	1	2	1	2	0-0	2	0	0	2	0
Dec 12, 2025	VTSJ	9	4	1	3	0	1	2-2	2	1	0	0	3
Dec 2, 2025	@BRY	10	2	1	3	0	0	0-0	3	1	0	0	0
Nov 30, 2025	@QUIN	9	0	0	1	0	0	0-0	1	1	0	0	0
Nov 26, 2025	UML	30	11	3	11	2	6	3-3	2	1	1	1	0
Nov 21, 2025	LAF	12	2	1	4	0	0	0-0	3	0	1	1	0
Nov 17, 2025	@ISU#7	24	6	2	6	1	4	1-2	2	0	0	4	4
Nov 15, 2025	L-MD	12	6	2	2	0	0	2-2	2	0	1	1	1
Nov 14, 2025	@FAIR	7	2	1	2	0	0	0-0	1	0	0	0	0
Nov 11, 2025	@URI	11	2	1	2	0	1	0-0	0	0	0	0	1
Nov 7, 2025	@DEP	7	0	0	1	0	1	0-0	1	0	0	0	2
Nov 3, 2025	THMC	16	19	7	10	0	0	5-6	7	0	0	0	0

By seasonPer game2 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2025-26	25	9.3	2.7	1.6	0.3	40.7%	25%	49.7%	—
2024-25	15	5.8	1.5	1.1	0.3	36.8%	0%	44.2%	—

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.