Matheus Silveira

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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.

PORT

Season

Ranked vs

Side

Scale

Stats

Teammate

Matheus Silveira

C2021-22

Stands outMatheus Silveira places 2720th of 3679 players in mid range makes, at 0 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 Played27

Minutes7.814th3492/4069

Games Started3

ScoringOffense▶

Usage Rate24.9%87th544/4069

Points3.935th2646/4069

ShootingOffense▶

Field Goals Made1.741st2413/4069

Field Goals Attempted2.931st2821/4069

Field Goal Percentage57%—

Three-Pointers Made09th3356/4069

Effective Field Goal Percentage57%—

Three-Pointers Attempted05th3689/4069

Free Throws Made0.634th2679/4069

Free Throws Attempted0.935th2653/4069

True Shooting Percentage58.6%—

Free Throw Percentage62.5%—

Two Pointers Made1.757th1745/4069

Two Pointers Attempted2.951st1996/4069

Two Point Percentage57%—

Shot ProfileOffense▶

Three-Point Attempt Rate0%—

Free Throw Rate30.4%—

Shot LocationsOffense▶

Paint Makes0.322nd2857/3679

Paint Attempts0.521st2913/3679

Paint Percentage53.8%—

Mid Range Makes013th2720/3679

Mid Range Attempts0.120th2941/3679

Mid Range Percentage0%—

PlaymakingOffense▶

Assists0.210th3654/4069

Turnovers0.765th1426/4069

Assist to Turnover Ratio0.25—

Points Created by Assists0.11st3509/3532

Rebounding▶

Rebounds1.729th2889/4069

ReboundingOffense▶

Offensive Rebounds0.964th1484/4069

ReboundingDefense▶

Defensive Rebounds0.918th3334/4069

DefenseDefense▶

Steals03rd3951/4069

Blocks0.368th1255/4069

Personal Fouls1.368th1313/4069

Impact▶

Plus Minus051st1819/3729

Regularized Adjusted Plus-Minus1.1561st1336/3426

ImpactOffense▶

Offensive RAPM-1.1024th2606/3426

ImpactDefense▶

Defensive RAPM2.2586th470/3426

On Off▶

Net Rating with Him On-20.36th3156/3372

Net Rating with Him Off-1.957th1345/3124

On Off Difference-18.49th2839/3124

Possessions with Him On114

Game log27 games

Date	Opp	MIN	PTS	FGM	FGA	FT	REB	AST	STL	BLK	TOV	PF
March 26, 2022	@SUU	1	0	0	1	0-0	0	0	0	0	0	0
March 19, 2022	UNO	10	4	2	6	0-0	5	0	0	0	0	5
March 5, 2022	@SCU	5	2	1	1	0-1	0	0	0	0	1	0
Feb 26, 2022	@SCU	1	0	0	0	0-0	0	0	0	0	0	0
Feb 19, 2022	PEPP	10	4	2	2	0-0	0	1	0	1	1	2
Feb 17, 2022	USD	2	2	1	1	0-0	0	0	0	0	0	1
Feb 15, 2022	BHL	10	6	3	5	0-1	3	1	0	0	2	2
Feb 5, 2022	SF#23	3	0	0	0	0-0	0	0	0	0	0	1
Feb 3, 2022	SMC#19	3	0	0	1	0-0	0	0	0	0	0	1
Jan 17, 2022	@LMU	0	0	0	0	0-0	0	0	0	0	1	0
Jan 15, 2022	@PEPP	6	2	1	3	0-0	2	0	0	1	1	4
Jan 13, 2022	@USD	8	8	3	5	2-2	3	0	0	0	1	0
Dec 22, 2021	@UCD	12	6	3	7	0-1	3	0	0	0	0	0
Dec 19, 2021	@MTST	8	2	1	3	0-0	1	0	0	0	0	1
Dec 17, 2021	SJSU	7	7	3	4	1-2	3	1	0	0	0	1
Dec 15, 2021	@ORE	11	2	0	1	2-2	2	0	0	1	1	2
Dec 13, 2021	CP	11	8	4	7	0-0	2	1	0	0	0	2
Dec 3, 2021	VMI	8	2	1	1	0-0	0	0	0	0	3	2
Nov 28, 2021	@UIW	11	6	2	4	2-2	6	1	0	0	3	0
Nov 27, 2021	SEMO	15	7	3	5	1-2	5	0	1	1	0	2
Nov 26, 2021	@MTST	13	1	0	1	1-2	2	0	0	0	0	2
Nov 23, 2021	@PRST	19	13	6	11	1-3	7	0	0	3	2	2
Nov 20, 2021	MORG	12	8	3	3	2-2	0	0	0	1	1	0
Nov 18, 2021	UAPB	7	2	1	1	0-0	0	0	0	0	0	0
Nov 13, 2021	ALCN	3	2	0	0	2-2	1	0	0	0	0	0
Nov 11, 2021	WLMT	12	11	5	6	1-2	2	0	0	1	2	2
Nov 9, 2021	@ASU	3	0	0	0	0-0	0	0	0	0	1	2

By seasonPer game3 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2021-22	27	7.8	3.9	1.7	0.2	57%	—	58.6%	—
2019-20	24	6.7	1.8	1.3	0.1	64.5%	—	62.1%	—
2018-19	7	9.1	2.4	2.1	0.4	53.3%	—	49.4%	—

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.