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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.

USC

Quinton Adlesh

Quinton Adlesh ranks 2778th of 3007 players in box creation, at 0.4.

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 Played29
Minutes11.924th2825/3720
Games Started3
ScoringOffense▶
Usage Rate11.1%6th3498/3720
Points1.913th3222/3720
ShootingOffense▶
Field Goals Made0.611th3305/3720
Field Goals Attempted2.118th3055/3720
Field Goal Percentage28.3%—
Three-Pointers Made0.652nd1767/3720
Effective Field Goal Percentage41.7%—
Three-Pointers Attempted1.649th1902/3720
Three-Point Percentage34%—
Free Throws Made0.29th3391/3720
Free Throws Attempted0.25th3516/3720
True Shooting Percentage43.9%—
Free Throw Percentage83.3%—
Two Pointers Made01st3682/3720
Two Pointers Attempted0.45th3535/3720
Two Point Percentage7.7%—
Shot ProfileOffense▶
Three-Point Attempt Rate78.3%—
Free Throw Rate10%—
PlaymakingOffense▶
Assists0.635th2417/3720
Turnovers0.678th819/3720
Assist to Turnover Ratio1.0659th1273/3075
Rebounding▶
Rebounds110th3340/3720
Rebound Rate5%8th2742/3007
ReboundingOffense▶
Offensive Rebounds0.18th3406/3720
ReboundingDefense▶
Defensive Rebounds0.813th3225/3720
DefenseDefense▶
Steals0.440th2240/3720
Blocks0.125th2768/3720
Personal Fouls0.985th550/3720
Impact▶
Box Plus-Minus1.747th1602/3007
Value over Replacement0.430th2090/3007
Player Efficiency Rating5.02nd2934/3007
Win Shares0.128th2170/3007
Estimated Wins0.430th2096/3007
Win Shares per 48 Minutes0.0129th2121/3007
Possessions Played576
ImpactOffense▶
Offensive Box Plus-Minus-2.214th2577/3007
Box Creation0.48th2778/3007
Assist Percentage9.139th1812/3007
Offensive Rebound Percentage1.513th2575/3007
Turnover Percentage21.318th2474/3007
Offensive Rating84.88th2765/3007
Offensive Win Shares-0.422nd2341/3007
ImpactDefense▶
Defensive Box Plus-Minus3.994th173/3007
Defensive Rating96.376th714/3007
Defensive Rebound Percentage8.18th2757/3007
Steal Percentage2.375th706/3007
Block Percentage0.736th1868/3007
Defensive Win Shares0.550th1487/3007
29 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
USCMarch 7, 2020UCLAUCLA6001000-0000000
USCFeb 29, 2020ASUASU19623230-0002033
USCFeb 23, 2020@UTAHUTAH27315140-0520011
USCFeb 15, 2020WSUWSU10001000-0211001
USCFeb 13, 2020WASHWASH7002010-0100010
USCFeb 8, 2020@ASUASU4001010-0100011
USCFeb 6, 2020@ARIZARIZ#1213001010-0140012
USCFeb 1, 2020COLOCOLO11001010-0000002
USCJan 30, 2020UTAHUTAH4000000-0000000
USCJan 25, 2020@ORSTORST3000000-0000000
USCJan 23, 2020@OREORE#1812313130-0100000
USCJan 18, 2020STANSTAN4000000-0000001
USCJan 16, 2020CALCAL14312120-0011002
USCJan 11, 2020@UCLAUCLA2000000-0000010
USCJan 5, 2020@WASHWASH12200002-2110000
USCJan 2, 2020@WSUWSU16100001-2100202
USCDec 29, 2019FGCUFGCU11002020-0012000
USCDec 21, 2019LSULSU2001000-0010002
USCDec 15, 2019LBSULBSU11002020-0012011
USCDec 6, 2019@TCUTCU7311110-0000000
USCDec 1, 2019HARVHARV201248460-0111011
USCNov 29, 2019@MARQMARQ9002020-0010000
USCNov 28, 2019@FAIRFAIR21201012-2300011
USCNov 22, 2019TEMTEM8002020-0200000
USCNov 19, 2019PEPPPEPP20313120-0230010
USCNov 16, 2019@NEVNEV14003020-0210002
USCNov 12, 2019SDSTSDST20627250-0001010
USCNov 8, 2019PORTPORT21934330-0401021
USCNov 5, 2019FAMUFAMU17214030-0102024
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2019-20USC2911.91.910.628.3%34%43.9%1.7
2018-19COLU2831.413.52.62.542.7%37.2%53.7%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.