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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.

RMU

Malik Petteway

Malik Petteway places 117th of 3186 players in paint makes, at 1.7 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 Played35
Minutes18.847th2063/3918
Games Started1
ScoringOffense▶
Usage Rate27.2%94th253/3918
Points9.371st1153/3918
ShootingOffense▶
Field Goals Made3.573rd1065/3918
Field Goals Attempted7.168th1237/3918
Field Goal Percentage48.4%77th400/1753
Three-Pointers Made017th3240/3918
Effective Field Goal Percentage48.6%32nd1196/1753
Three-Pointers Attempted011th3494/3918
Three-Point Percentage100%—
Free Throws Made2.485th597/3918
Free Throws Attempted3.889th429/3918
True Shooting Percentage53%36th1128/1753
Free Throw Percentage63.2%18th1063/1296
Two Pointers Made3.487th501/3918
Two Pointers Attempted7.190th407/3918
Two Point Percentage48.2%34th608/924
Shot ProfileOffense▶
Three-Point Attempt Rate0.4%3rd1697/1753
Free Throw Rate53.2%93rd126/1753
Shot LocationsOffense▶
Paint Makes1.796th117/3186
Paint Attempts2.295th153/3186
Paint Percentage74.4%85th29/187
Mid Range Makes0.598th62/3186
Mid Range Attempts299th46/3186
Mid Range Percentage24.6%53rd165/349
PlaymakingOffense▶
Assists0.426th2874/3918
Turnovers1.243rd2226/3918
Assist to Turnover Ratio0.357th2873/3105
Points Created by Assists0.552nd1312/2747
Rebounding▶
Rebounds5.184th613/3918
Rebound Rate18.1%95th152/3064
ReboundingOffense▶
Offensive Rebounds1.889th419/3918
ReboundingDefense▶
Defensive Rebounds3.378th860/3918
DefenseDefense▶
Steals1.187th527/3918
Blocks1.194th225/3918
Personal Fouls2.88th3585/3918
Impact▶
Box Plus-Minus3.264th1103/3064
Value over Replacement1.059th1265/3064
Player Efficiency Rating23.895th150/3064
Win Shares1.975th753/3064
Estimated Wins1.160th1224/3064
Plus Minus1.389th385/3458
Win Shares per 48 Minutes0.1382nd544/3064
Possessions Played1,056
Regularized Adjusted Plus-Minus2.7289th257/2231
ImpactOffense▶
Offensive Box Plus-Minus0.748th1585/3064
Box Creation1.854th1418/3064
Assist Percentage5.514th2612/3064
Offensive Rebound Percentage12.492nd240/3064
Turnover Percentage12.180th594/3064
Offensive Rating102.346th1657/3064
Offensive Win Shares0.451st1490/3064
Offensive RAPM-0.1841st1307/2231
ImpactDefense▶
Defensive Box Plus-Minus2.679th637/3064
Defensive Rating90.798th68/3064
Defensive Rebound Percentage24.395th167/3064
Steal Percentage3.798th60/3064
Block Percentage6.794th171/3064
Defensive Win Shares1.592nd231/3064
Defensive RAPM2.9096th81/2231
On Off▶
Net Rating with Him On12.080th426/2112
Net Rating with Him Off3.244th658/1185
On Off Difference8.870th353/1185
Possessions with Him On703
35 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
RMUMarch 24, 2019PRESPRES14313110-0400201
RMUMarch 19, 2019CORCOR19216000-1710122
RMUMarch 9, 2019@FDUFDU12424000-0300024
RMUMarch 6, 2019SFBKSFBK22825004-8704222
RMUMarch 2, 2019@WAGWAG9213000-1100023
RMUFeb 28, 2019@SHUSHU18425000-0101011
RMUFeb 23, 2019SFBKSFBK16526001-2301012
RMUFeb 21, 2019LIULIU19837002-4511003
RMUFeb 16, 2019@SFPASFPA10734001-2100114
RMUFeb 14, 2019@MSMMSM24524001-4212025
RMUFeb 9, 2019CCSUCCSU241657006-8700134
RMUFeb 7, 2019BRYBRY16826004-6310013
RMUFeb 2, 2019@FDUFDU2817513007-8700204
RMUJan 31, 2019SFPASFPA2313410005-7411125
RMUJan 26, 2019WAGWAG141359003-3500112
RMUJan 24, 2019SHUSHU14215000-0700033
RMUJan 21, 2019@CCSUCCSU2711511001-2932223
RMUJan 19, 2019@BRYBRY191447006-8904101
RMUJan 12, 2019@LIULIU2410410002-4302013
RMUJan 10, 2019@SFBKSFBK2113511003-4614301
RMUJan 5, 2019MSMMSM221148003-61012125
RMUJan 3, 2019FDUFDU1713510003-7502323
RMUDec 29, 2018HOODHOOD161889002-41010122
RMUDec 21, 2018@LOULOU#202310513000-1623503
RMUDec 15, 2018@RIDRID20514003-6502112
RMUDec 8, 2018SIESIE23947001-1400104
RMUDec 5, 2018@CANCAN22505005-10801122
RMUDec 1, 2018@DREXDREX16214000-0202213
RMUNov 28, 2018YSUYSU1916612004-7611000
RMUNov 23, 2018@PURPUR#9181048002-2300024
RMUNov 19, 2018@STETSTET2117711003-3302112
RMUNov 17, 2018MVSUMVSU24261011006-61100024
RMUNov 14, 2018MTALMTAL13924005-6602103
RMUNov 9, 2018@MOSTMOST13311001-2510220
RMUNov 6, 2018@USCUSC19847000-0100104

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.