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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.

UND

Conner Avants

Conner Avants sits 96th of 924 players in two point percentage, at 60.7%.

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.

all 9 shown▶
Playing Time▶
Games Played24
Minutes24.163rd1432/3918
Games Started24
ScoringOffense▶
Usage Rate23.4%81st740/3918
Points11.882nd712/3918
ShootingOffense▶
Field Goals Made4.687th509/3918
Field Goals Attempted7.672nd1090/3918
Field Goal Percentage60.7%97th47/1753
Three-Pointers Made09th3247/3918
Effective Field Goal Percentage60.7%94th108/1753
Three-Pointers Attempted05th3505/3918
Free Throws Made2.587th529/3918
Free Throws Attempted3.587th517/3918
True Shooting Percentage64.2%95th84/1753
Free Throw Percentage71.8%47th691/1296
Two Pointers Made4.696th171/3918
Two Pointers Attempted7.692nd314/3918
Two Point Percentage60.7%90th96/924
Shot ProfileOffense▶
Three-Point Attempt Rate0%1st1708/1753
Free Throw Rate46.4%86th253/1753
Shot LocationsOffense▶
Paint Makes0.359th1302/3186
Paint Attempts0.353rd1479/3186
Paint Percentage75%—
Mid Range Makes063rd1162/3186
Mid Range Attempts0.373rd849/3186
Mid Range Percentage12.5%—
PlaymakingOffense▶
Assists1.568th1229/3918
Turnovers1.823rd2997/3918
Assist to Turnover Ratio0.8640th1853/3105
Points Created by Assists0.341st1609/2747
Rebounding▶
Rebounds5.285th595/3918
Rebound Rate13.7%78th673/3064
ReboundingOffense▶
Offensive Rebounds1.379th825/3918
ReboundingDefense▶
Defensive Rebounds3.986th546/3918
DefenseDefense▶
Steals180th777/3918
Blocks0.474th1005/3918
Personal Fouls1.851st1900/3918
Impact▶
Box Plus-Minus4.979th631/3064
Value over Replacement1.266th1037/3064
Player Efficiency Rating23.795th155/3064
Win Shares2.279th642/3064
Estimated Wins1.264th1110/3064
Plus Minus-1.68th3190/3458
Win Shares per 48 Minutes0.1589th329/3064
Possessions Played1,013
ImpactOffense▶
Offensive Box Plus-Minus2.876th742/3064
Box Creation1.958th1297/3064
Assist Percentage12.660th1216/3064
Offensive Rebound Percentage6.966th1019/3064
Turnover Percentage16.050th1530/3064
Offensive Rating114.584th486/3064
Offensive Win Shares1.681st576/3064
ImpactDefense▶
Defensive Box Plus-Minus2.171st887/3064
Defensive Rating99.968th963/3064
Defensive Rebound Percentage20.584th477/3064
Steal Percentage2.377th649/3064
Block Percentage1.862nd1124/3064
Defensive Win Shares0.664th1110/3064
24 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UNDMarch 9, 2019@OMAOMA18523001-2301031
UNDMarch 2, 2019@SDAKSDAK2512510002-4920101
UNDFeb 28, 2019@PFWPFW21847000-0402221
UNDFeb 23, 2019DENDEN191159001-1522013
UNDJan 19, 2019@NDSUNDSU311259002-3511024
UNDJan 16, 2019SDSTSDST17426000-0102011
UNDJan 12, 2019WIUWIU2221711007-8300042
UNDJan 10, 2019OMAOMA2924812008-10601203
UNDJan 5, 2019@DENDEN201478000-0311000
UNDJan 3, 2019@ORUORU2521810005-7610104
UNDDec 29, 2018PFWPFW21414002-2521141
UNDDec 22, 2018@UNIUNI331968007-10511044
UNDDec 18, 2018@MARQMARQ226310000-0231011
UNDDec 14, 2018MYSUMYSU20635000-0220002
UNDDec 9, 2018MILWMILW3112510002-41130013
UNDDec 5, 2018@RGVRGV23403004-4331010
UNDDec 1, 2018IDHOIDHO30723003-7813051
UNDNov 27, 2018@MTSTMTST34613004-4721043
UNDNov 24, 2018@UVUUVU3420913002-2832022
UNDNov 20, 2018CUNECUNE2722912004-6742120
UNDNov 17, 2018MNMOMNMO15845000-0300110
UNDNov 14, 2018@UKUK#8231459004-6220023
UNDNov 10, 2018@MILWMILW261469002-3720011
UNDNov 6, 2018NRLNNRLN12944001-2911111

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.