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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.

UNC

Paxson Wojcik

Paxson Wojcik places 3617th of 4050 players in points, at 1.6 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.

all 10 shown▶
Playing Time▶
Games Played32
Minutes8.315th3462/4050
Games Started3
ScoringOffense▶
Usage Rate11.7%9th3699/4050
Points1.611th3617/4050
ShootingOffense▶
Field Goals Made0.59th3673/4050
Field Goals Attempted1.512th3561/4050
Field Goal Percentage34%—
Three-Pointers Made0.233rd2697/4050
Effective Field Goal Percentage41.5%—
Three-Pointers Attempted0.936th2594/4050
Three-Point Percentage23.3%—
Free Throws Made0.420th3225/4050
Free Throws Attempted0.517th3346/4050
True Shooting Percentage46.8%—
Free Throw Percentage70.6%—
Two Pointers Made0.39th3683/4050
Two Pointers Attempted0.57th3771/4050
Two Point Percentage52.9%—
Shot ProfileOffense▶
Three-Point Attempt Rate63.8%—
Free Throw Rate36.2%—
Shot LocationsOffense▶
Paint Makes0.217th3048/3689
Paint Attempts0.39th3353/3689
Paint Percentage87.5%—
Mid Range Makes013th2748/3689
Mid Range Attempts0.126th2724/3689
Mid Range Percentage0%—
PlaymakingOffense▶
Assists0.423rd3127/4050
Turnovers0.388th465/4050
Assist to Turnover Ratio1.30—
Points Created by Assists0.831st2454/3566
Rebounding▶
Rebounds112th3535/4050
ReboundingOffense▶
Offensive Rebounds0.428th2904/4050
ReboundingDefense▶
Defensive Rebounds0.69th3670/4050
DefenseDefense▶
Steals0.16th3795/4050
Blocks05th3655/4050
Personal Fouls0.886th547/4050
Impact▶
Plus Minus-049th1902/3724
Regularized Adjusted Plus-Minus-1.3822nd2717/3478
ImpactOffense▶
Offensive RAPM-0.9427th2528/3478
ImpactDefense▶
Defensive RAPM-0.4333rd2319/3478
On Off▶
Net Rating with Him On3.059th1391/3435
Net Rating with Him Off8.629th2283/3203
On Off Difference-5.635th2066/3203
Possessions with Him On364
32 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UNCMarch 28, 2024ALAALA#1415311110-0310002
UNCMarch 23, 2024MSUMSU#184001010-0220000
UNCMarch 21, 2024WAGWAG8312120-0200000
UNCMarch 14, 2024FSUFSU9312120-2020000
UNCMarch 9, 2024@DUKEDUKE#82000000-0000001
UNCMarch 5, 2024NDND5001010-0200000
UNCMarch 2, 2024NCSUNCSU2001010-0000000
UNCFeb 24, 2024@UVAUVA2000000-0000000
UNCFeb 17, 2024VTVT3000000-0000000
UNCFeb 10, 2024@MIAMIA18002020-0300000
UNCFeb 6, 2024CLEMCLEM#2022724122-4611002
UNCJan 30, 2024@GTGT3000000-0000011
UNCJan 27, 2024@FSUFSU5211000-0100010
UNCJan 22, 2024WAKEWAKE4001000-0100002
UNCJan 20, 2024@BCBC2000000-0000000
UNCJan 17, 2024LOULOU3202022-2000000
UNCJan 13, 2024SYRSYR9002020-0110002
UNCJan 10, 2024@NCSUNCSU2000000-0000001
UNCJan 6, 2024@CLEMCLEM#2010312110-0200021
UNCJan 2, 2024@PITTPITT4000000-0000001
UNCDec 29, 2023CHSOCHSO11214030-0100011
UNCDec 20, 2023@OUOU2001010-0000000
UNCDec 16, 2023@UKUK2211000-0000002
UNCDec 5, 2023@CONNCONN#18211000-1100001
UNCDec 2, 2023FSUFSU4002010-0010000
UNCNov 29, 2023TENNTENN#73000000-0000000
UNCNov 24, 2023ARKARK20525130-0000022
UNCNov 23, 2023VILLVILL20213020-0000003
UNCNov 22, 2023UNIUNI13612004-4000000
UNCNov 17, 2023UCRUCR19202012-2222010
UNCNov 12, 2023LEHLEH12202012-2200013
UNCNov 6, 2023RADRAD21522110-0330011
By seasonPer Game5 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2023-24UNC328.31.610.434%23.3%46.8%—
2022-23BRWN2734.614.97.23.246.1%38%58.7%6.7
2021-22BRWN2727.69.631.342.1%33%53%1.3
2020-21LUC156.22.50.90.450%40%61.7%—
2019-20LUC3010.921.20.652.1%42.1%59.7%2.3

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.