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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.

NCAT

Quavius Copeland

In personal fouls, Quavius Copeland is 542nd of 3918 players, at 0.8 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 8 shown▶
Playing Time▶
Games Played32
Minutes24.364th1410/3918
Games Started25
ScoringOffense▶
Usage Rate21.4%71st1131/3918
Points9.170th1194/3918
ShootingOffense▶
Field Goals Made3.574th1027/3918
Field Goals Attempted8.376th932/3918
Field Goal Percentage42.3%43rd1008/1753
Three-Pointers Made1.377th894/3918
Effective Field Goal Percentage50%42nd997/1753
Three-Pointers Attempted4.182nd723/3918
Three-Point Percentage31.1%15th1021/1197
Free Throws Made0.845th2157/3918
Free Throws Attempted136th2491/3918
True Shooting Percentage52.3%30th1233/1753
Free Throw Percentage84.4%—
Two Pointers Made2.271st1153/3918
Two Pointers Attempted4.268th1269/3918
Two Point Percentage53.4%—
Shot ProfileOffense▶
Three-Point Attempt Rate49.8%65th607/1753
Free Throw Rate12.1%3rd1693/1753
PlaymakingOffense▶
Assists1.976th925/3918
Turnovers1.244th2196/3918
Assist to Turnover Ratio1.5481st606/3105
Rebounding▶
Rebounds1.931st2684/3918
Rebound Rate5%8th2807/3064
ReboundingOffense▶
Offensive Rebounds0.324th2952/3918
ReboundingDefense▶
Defensive Rebounds1.636th2503/3918
DefenseDefense▶
Steals0.870th1167/3918
Blocks06th3420/3918
Personal Fouls0.886th542/3918
Impact▶
Box Plus-Minus0.331st2114/3064
Value over Replacement0.538th1883/3064
Player Efficiency Rating13.647th1638/3064
Win Shares0.851st1513/3064
Estimated Wins0.638th1885/3064
Win Shares per 48 Minutes0.0445th1691/3064
Possessions Played1,320
ImpactOffense▶
Offensive Box Plus-Minus0.444th1719/3064
Box Creation2.672nd858/3064
Assist Percentage15.673rd814/3064
Offensive Rebound Percentage1.716th2553/3064
Turnover Percentage12.379th639/3064
Offensive Rating102.747th1603/3064
Offensive Win Shares0.452nd1464/3064
ImpactDefense▶
Defensive Box Plus-Minus-0.120th2439/3064
Defensive Rating104.538th1884/3064
Defensive Rebound Percentage8.18th2801/3064
Steal Percentage1.962nd1105/3064
Block Percentage0.03rd2853/3064
Defensive Win Shares0.345th1687/3064
32 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
NCATMarch 15, 2019NCCUNCCU21636020-0201010
NCATMarch 13, 2019COPPCOPP3214511242-2520031
NCATMarch 7, 2019NCCUNCCU3012512240-1645010
NCATMarch 2, 2019FAMUFAMU2214711040-0021030
NCATFeb 25, 2019SAVSAV12213010-0102021
NCATFeb 23, 2019SCSTSCST19848010-0320040
NCATFeb 18, 2019@NORFNORF23315140-0420011
NCATFeb 16, 2019@HOWHOW8001000-0010002
NCATFeb 11, 2019UMESUMES12001010-0100000
NCATFeb 9, 2019DSUDSU11002010-0410001
NCATFeb 4, 2019@BCUBCU22528150-0211021
NCATFeb 2, 2019@FAMUFAMU15003020-0000021
NCATJan 26, 2019@NCCUNCCU28628042-2130010
NCATJan 21, 2019COPPCOPP20527150-0120001
NCATJan 19, 2019MORGMORG21206032-2230011
NCATJan 14, 2019@UMESUMES4011410142-2223001
NCATJan 12, 2019@DSUDSU3222810680-0130011
NCATJan 8, 2019MATCMATC20739150-0381010
NCATJan 5, 2019@SCSTSCST3618812032-2221041
NCATDec 28, 2018@ECUECU17006040-0210000
NCATDec 21, 2018@MINNMINN3419717263-4221010
NCATDec 19, 2018@VTVT#133216612381-1131011
NCATDec 15, 2018@TNSTTNST38251017362-4001003
NCATDec 8, 2018GRNBGRNB2214610250-0420022
NCATDec 1, 2018PRESPRES22427030-0211003
NCATNov 29, 2018CCSUCCSU2716510482-2110021
NCATNov 21, 2018@MSMMSM291958465-6422010
NCATNov 19, 2018@MRSHMRSH22826262-2030030
NCATNov 14, 2018@HOFHOF30625250-0330002
NCATNov 12, 2018@MDMD11736130-0011000
NCATNov 10, 2018@WAKEWAKE3210412032-2122010
NCATNov 6, 2018UNCGUNCG3713516380-0011011

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.