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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

Matty McConnell

In steals, Matty McConnell is 51st of 3918 players, at 1.9 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
Minutes30.183rd661/3918
Games Started35
ScoringOffense▶
Usage Rate19.4%58th1665/3918
Points10.677th897/3918
ShootingOffense▶
Field Goals Made3.573rd1065/3918
Field Goals Attempted8.779th827/3918
Field Goal Percentage39.7%24th1337/1753
Three-Pointers Made1.684th624/3918
Effective Field Goal Percentage48.7%33rd1180/1753
Three-Pointers Attempted4.585th607/3918
Three-Point Percentage35.3%46th650/1197
Free Throws Made2.181st756/3918
Free Throws Attempted3.182nd707/3918
True Shooting Percentage52.8%34th1165/1753
Free Throw Percentage69.4%38th804/1296
Two Pointers Made1.963rd1429/3918
Two Pointers Attempted4.369th1227/3918
Two Point Percentage44.3%—
Shot ProfileOffense▶
Three-Point Attempt Rate51.1%68th555/1753
Free Throw Rate35.4%63rd641/1753
Shot LocationsOffense▶
Paint Makes190th321/3186
Paint Attempts1.993rd225/3186
Paint Percentage53.8%—
Mid Range Makes0.182nd576/3186
Mid Range Attempts0.684th499/3186
Mid Range Percentage20%—
PlaymakingOffense▶
Assists2.989th419/3918
Turnovers1.435th2555/3918
Assist to Turnover Ratio2.0093rd192/3105
Points Created by Assists3.294th153/2747
Rebounding▶
Rebounds4.781st761/3918
Rebound Rate10.6%57th1297/3064
ReboundingOffense▶
Offensive Rebounds1.276th919/3918
ReboundingDefense▶
Defensive Rebounds3.581st743/3918
DefenseDefense▶
Steals1.999th51/3918
Blocks0.471st1130/3918
Personal Fouls2.519th3175/3918
Impact▶
Box Plus-Minus5.684th483/3064
Value over Replacement2.389th342/3064
Player Efficiency Rating17.072nd872/3064
Win Shares2.886th420/3064
Estimated Wins2.589th341/3064
Plus Minus1.187th437/3458
Win Shares per 48 Minutes0.1279th635/3064
Possessions Played1,661
Regularized Adjusted Plus-Minus0.6460th902/2231
ImpactOffense▶
Offensive Box Plus-Minus2.370th933/3064
Box Creation3.080th607/3064
Assist Percentage20.286th419/3064
Offensive Rebound Percentage5.054th1394/3064
Turnover Percentage13.571st889/3064
Offensive Rating107.464th1090/3064
Offensive Win Shares1.274th784/3064
Offensive RAPM-1.1318th1827/2231
ImpactDefense▶
Defensive Box Plus-Minus3.489th335/3064
Defensive Rating96.186th427/3064
Defensive Rebound Percentage16.766th1036/3064
Steal Percentage3.697th73/3064
Block Percentage1.659th1232/3064
Defensive Win Shares1.694th195/3064
Defensive RAPM1.7688th263/2231
On Off▶
Net Rating with Him On10.176th504/2112
Net Rating with Him Off0.052nd563/1185
On Off Difference10.173rd319/1185
Possessions with Him On1,078
35 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
RMUMarch 24, 2019PRESPRES3010410032-2334005
RMUMarch 19, 2019CORCOR3927919594-6703002
RMUMarch 9, 2019@FDUFDU3417716370-0142012
RMUMarch 6, 2019SFBKSFBK40215141310-10713221
RMUMarch 2, 2019@WAGWAG33936142-3510013
RMUFeb 28, 2019@SHUSHU20528120-0232001
RMUFeb 23, 2019SFBKSFBK231245014-4630054
RMUFeb 21, 2019LIULIU3512414262-3531103
RMUFeb 16, 2019@SFPASFPA321349253-4341024
RMUFeb 14, 2019@MSMMSM24315130-0333024
RMUFeb 9, 2019CCSUCCSU33839042-4515004
RMUFeb 7, 2019BRYBRY31416141-4541112
RMUFeb 2, 2019@FDUFDU3610412260-0840015
RMUJan 31, 2019SFPASFPA3524711476-11812022
RMUJan 26, 2019WAGWAG31818046-61212014
RMUJan 24, 2019SHUSHU301968354-6632123
RMUJan 21, 2019@CCSUCCSU291235353-7712011
RMUJan 19, 2019@BRYBRY301359033-5551032
RMUJan 12, 2019@LIULIU27318150-0520021
RMUJan 10, 2019@SFBKSFBK304210050-0110112
RMUJan 5, 2019MSMMSM3311411370-0830122
RMUJan 3, 2019FDUFDU261546245-7112111
RMUDec 29, 2018HOODHOOD161768461-1352123
RMUDec 21, 2018@LOULOU#2034317130-0433001
RMUDec 15, 2018@RIDRID15312011-3212122
RMUDec 8, 2018SIESIE311658234-5202011
RMUDec 5, 2018@CANCAN28524011-3334115
RMUDec 1, 2018@DREXDREX3714511252-3441103
RMUNov 28, 2018YSUYSU3412410133-4542013
RMUNov 23, 2018@PURPUR#922727152-2220022
RMUNov 19, 2018@STETSTET3112410480-0443010
RMUNov 17, 2018MVSUMVSU30526130-1433122
RMUNov 14, 2018MTALMTAL271238264-4373012
RMUNov 9, 2018@MOSTMOST33629260-0653042
RMUNov 6, 2018@USCUSC34006040-01072032

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.