Johan Munch

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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.

ORST

Season

Ranked vs

Side

Scale

Stats

Teammate

Johan Munch

F2025-26

One to noteIn field goal percentage, Johan Munch is 305th of 2133 players, at 52.7%.

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 Played31

Minutes21.155th1895/4184

Games Started23

ScoringOffense▶

Usage Rate21.3%71st1233/4184

Points7.960th1668/4184

ShootingOffense▶

Field Goals Made2.962nd1605/4184

Field Goals Attempted5.554th1920/4184

Field Goal Percentage52.7%86th305/2133

Three-Pointers Made017th3487/4184

Effective Field Goal Percentage53%58th895/2133

Three-Pointers Attempted0.318th3435/4184

Three-Point Percentage12.5%—

Free Throws Made2.178th937/4184

Free Throws Attempted3.483rd727/4184

True Shooting Percentage57%57th919/2133

Free Throw Percentage63.5%15th1117/1308

Two Pointers Made2.879th884/4184

Two Pointers Attempted5.278th934/4184

Two Point Percentage54.7%62nd553/1443

Shot ProfileOffense▶

Three-Point Attempt Rate4.7%7th1991/2133

Free Throw Rate61.5%95th110/2133

Shot LocationsOffense▶

Paint Makes2.183rd667/3850

Paint Attempts3.680th754/3850

Paint Percentage58.9%69th339/1079

Mid Range Makes0.147th2026/3850

Mid Range Attempts0.352nd1857/3850

Mid Range Percentage25%—

PlaymakingOffense▶

Assists152nd1999/4184

Turnovers1.524th3198/4184

Assist to Turnover Ratio0.6817th2792/3361

Points Created by Assists1.954th1741/3757

Rebounding▶

Rebounds5.185th627/4184

Rebound Rate16%89th344/3278

ReboundingOffense▶

Offensive Rebounds1.888th493/4184

ReboundingDefense▶

Defensive Rebounds3.381st784/4184

DefenseDefense▶

Steals0.765th1464/4184

Blocks0.789th472/4184

Personal Fouls2.78th3868/4184

Impact▶

Box Plus-Minus2.152nd1586/3278

Value over Replacement0.852nd1572/3278

Player Efficiency Rating16.668th1044/3278

Win Shares0.437th2073/3278

Estimated Wins0.953rd1551/3278

Plus Minus-0.739th2354/3879

Win Shares per 48 Minutes0.0335th2132/3278

Possessions Played1,067

Regularized Adjusted Plus-Minus0.3346th1993/3669

ImpactOffense▶

Offensive Box Plus-Minus-0.141st1941/3278

Box Creation1.642nd1903/3278

Assist Percentage11.654th1503/3278

Offensive Rebound Percentage11.788th374/3278

Turnover Percentage18.020th2602/3278

Offensive Rating103.630th2293/3278

Offensive Win Shares-0.128th2339/3278

Offensive RAPM0.9463rd1371/3669

ImpactDefense▶

Defensive Box Plus-Minus2.268th1044/3278

Defensive Rating107.556th1436/3278

Defensive Rebound Percentage19.985th478/3278

Steal Percentage2.267th1017/3278

Block Percentage4.286th434/3278

Defensive Win Shares0.658th1363/3278

Defensive RAPM-0.6130th2572/3669

On Off▶

Net Rating with Him On-16.79th3307/3623

Net Rating with Him Off-17.490th338/3520

On Off Difference0.752nd1681/3520

Possessions with Him On962

Game log31 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TOV	PF
March 9, 2026	@GONZ#15	4	2	1	1	0	0	0-0	2	0	0	0	0	0
March 8, 2026	SF	10	0	0	3	0	0	0-0	5	0	0	2	2	2
Feb 28, 2026	@SCU	28	19	6	9	0	0	7-10	4	1	1	0	1	2
Feb 25, 2026	USD	36	19	8	12	0	0	3-4	8	4	1	0	0	3
Feb 21, 2026	PEPP	35	10	5	8	0	0	0-1	12	5	2	0	3	4
Feb 15, 2026	@SEA	18	4	2	4	0	0	0-0	6	1	0	1	2	2
Feb 12, 2026	@SF	20	9	3	3	0	0	3-4	3	1	1	0	3	3
Feb 7, 2026	GONZ#15	9	2	1	3	0	0	0-0	2	0	0	0	0	4
Feb 4, 2026	WSU	27	18	8	16	0	0	2-4	15	1	3	1	0	3
Jan 31, 2026	@USD	35	15	5	10	0	0	5-8	9	2	2	1	2	4
Jan 28, 2026	@LMU	31	8	4	8	0	0	0-1	10	1	0	0	1	3
Jan 21, 2026	@SMC	30	6	2	6	0	0	2-4	6	0	1	2	2	3
Jan 17, 2026	PAC	17	7	3	5	0	0	1-2	3	0	0	1	3	2
Jan 14, 2026	LMU	18	8	2	5	0	0	4-4	2	1	3	2	2	5
Jan 10, 2026	@PORT	16	14	2	4	0	0	10-14	2	0	0	0	1	4
Jan 8, 2026	SEA	13	6	1	5	0	0	4-8	5	0	1	0	0	4
Jan 4, 2026	@WSU	13	2	1	4	0	0	0-0	3	1	0	0	0	3
Jan 2, 2026	@PAC	28	12	5	10	0	1	2-4	5	0	0	1	4	1
Dec 30, 2025	SF	15	2	1	1	0	0	0-0	2	0	0	1	2	3
Dec 28, 2025	SCU	14	2	1	1	0	0	0-0	3	1	1	0	0	2
Dec 21, 2025	@ASU	7	2	1	2	0	0	0-0	0	1	0	0	0	0
Dec 6, 2025	SUU	22	16	6	7	0	0	4-5	5	0	1	4	2	2
Dec 3, 2025	UVM	19	2	1	3	0	0	0-0	2	1	2	0	1	3
Nov 29, 2025	CBU	23	6	2	4	0	1	2-2	8	1	0	4	5	4
Nov 24, 2025	MASS	16	0	0	1	0	0	0-0	5	1	0	0	2	5
Nov 22, 2025	IONA	35	12	4	7	0	1	4-9	8	5	0	1	1	1
Nov 21, 2025	EVAN	27	6	2	6	0	1	2-2	4	1	2	0	1	2
Nov 17, 2025	@ORE	11	7	2	3	0	0	3-5	0	0	0	0	1	5
Nov 12, 2025	UNT	33	10	3	5	1	1	3-4	6	1	1	2	2	1
Nov 7, 2025	UIC	28	9	4	8	0	2	1-2	10	2	1	0	4	1
Nov 3, 2025	NDSU	15	10	3	5	0	1	4-7	3	0	0	0	0	3

By seasonPer game2 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2025-26	31	21.1	7.9	5.1	1	52.7%	12.5%	57%	2.1
2024-25	23	4.9	1.2	0.7	0.2	35%	—	49.1%	—

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.