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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

Matt Knowling

Matt Knowling comes in 3498th of 4163 players in three-pointers made, 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.

all 8 shown▶
Playing Time▶
Games Played27
Minutes18.144th2314/4163
Games Started5
ScoringOffense▶
Usage Rate9.1%3rd4049/4163
Points326th3099/4163
ShootingOffense▶
Field Goals Made1.331st2881/4163
Field Goals Attempted2.323rd3203/4163
Field Goal Percentage57.1%—
Three-Pointers Made08th3498/4163
Effective Field Goal Percentage57.1%—
Three-Pointers Attempted011th3721/4163
Three-Point Percentage0.0%—
Free Throws Made0.420th3324/4163
Free Throws Attempted0.622nd3258/4163
True Shooting Percentage58.2%—
Free Throw Percentage58.8%—
Two Pointers Made1.348th2156/4163
Two Pointers Attempted2.342nd2400/4163
Two Point Percentage58.1%—
Shot ProfileOffense▶
Three-Point Attempt Rate1.6%—
Free Throw Rate27.0%—
PlaymakingOffense▶
Assists1.260th1670/4163
Turnovers0.578th925/4163
Assist to Turnover Ratio2.5496th129/3307
Rebounding▶
Rebounds2.647th2206/4163
Rebound Rate9.9%53rd1515/3223
ReboundingOffense▶
Offensive Rebounds0.643rd2364/4163
ReboundingDefense▶
Defensive Rebounds251st2045/4163
DefenseDefense▶
Steals0.436th2653/4163
Blocks0.578th901/4163
Personal Fouls1.746th2266/4163
Impact▶
Box Plus-Minus5.079th665/3223
Value over Replacement0.953rd1495/3223
Player Efficiency Rating10.821st2548/3223
Win Shares0.639th1962/3223
Estimated Wins1.054th1468/3223
Win Shares per 48 Minutes0.0547th1689/3223
Possessions Played718
ImpactOffense▶
Offensive Box Plus-Minus0.954th1483/3223
Box Creation0.59th2930/3223
Assist Percentage11.553rd1488/3223
Offensive Rebound Percentage5.152nd1531/3223
Turnover Percentage15.936th2047/3223
Offensive Rating118.283rd557/3223
Offensive Win Shares0.552nd1547/3223
ImpactDefense▶
Defensive Box Plus-Minus4.193rd235/3223
Defensive Rating110.025th2410/3223
Defensive Rebound Percentage14.554th1482/3223
Steal Percentage1.427th2282/3223
Block Percentage3.381st616/3223
Defensive Win Shares0.123rd2474/3223
27 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
USCApril 3, 2025VILLVILL32002000-0420000
USCApril 1, 2025TULNTULN34734001-2621112
USCMarch 13, 2025@PURPUR#15291155001-1510001
USCMarch 12, 2025@RUTGRUTG9211000-0100001
USCMarch 8, 2025@UCLAUCLA#1832213010-0622231
USCMarch 5, 2025WASHWASH21213000-0611102
USCMarch 1, 2025@OREORE17411002-2001001
USCFeb 26, 2025OSUOSU5001000-0110001
USCFeb 23, 2025@RUTGRUTG7000000-0100001
USCFeb 20, 2025@MDMD#96000000-0200001
USCFeb 15, 2025MINNMINN15000000-0020004
USCFeb 11, 2025PSUPSU16211000-0130114
USCFeb 7, 2025@PURPUR#154000000-0000001
USCFeb 4, 2025@NUNU32735001-2510011
USCFeb 1, 2025MSUMSU#131000000-0000002
USCDec 22, 2024SOUSOU8000000-0200012
USCDec 18, 2024CSUNCSUN17212000-0111104
USCDec 15, 2024MTSTMTST18313001-2412012
USCDec 7, 2024@WASHWASH20212000-0310101
USCDec 4, 2024OREORE18000000-0010202
USCNov 29, 2024@UNMUNM11214000-0201002
USCNov 28, 2024SMCSMC13001000-0100000
USCNov 24, 2024GRAMGRAM24634000-1230012
USCNov 20, 2024SJSUSJSU371256002-2851230
USCNov 17, 2024CALCAL19214000-0620113
USCNov 7, 2024IDSTIDST15315001-4100003
USCNov 4, 2024UTCUTC281366001-1241103
By seasonPer game4 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2024-25USC2718.132.61.257.1%0.0%58.2%5.0
2023-24YALE2828.211.64.92.656.7%14.3%58.4%5.9
2022-23YALE2427.313.64.82.462.5%33.3%63.6%7.9
2021-22YALE3121.67.241.460.5%50.0%63.2%5.3

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.