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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.

MORG

David McCullough

David McCullough comes in 2770th of 3174 players in offensive rating, at 91.1.

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 Played19
Minutes18.346th2212/4122
Games Started12
ScoringOffense▶
Usage Rate17.2%41st2446/4122
Points5.648th2163/4122
ShootingOffense▶
Field Goals Made1.844th2308/4122
Field Goals Attempted4.244th2325/4122
Field Goal Percentage44.3%—
Three-Pointers Made0.337th2581/4122
Effective Field Goal Percentage47.5%—
Three-Pointers Attempted0.834th2734/4122
Three-Point Percentage33.3%—
Free Throws Made1.672nd1164/4122
Free Throws Attempted2.473rd1094/4122
True Shooting Percentage53.6%—
Free Throw Percentage68.9%30th814/1168
Two Pointers Made1.654th1885/4122
Two Pointers Attempted3.457th1791/4122
Two Point Percentage46.9%—
Shot ProfileOffense▶
Three-Point Attempt Rate19%—
Free Throw Rate57%—
Shot LocationsOffense▶
Paint Makes0.327th2709/3722
Paint Attempts0.625th2803/3722
Paint Percentage54.5%—
Mid Range Makes0.138th2286/3722
Mid Range Attempts0.128th2683/3722
Mid Range Percentage50%—
PlaymakingOffense▶
Assists0.848th2126/4122
Turnovers1.627th3025/4122
Assist to Turnover Ratio0.5315th2794/3278
Points Created by Assists0.12nd3496/3586
Rebounding▶
Rebounds3.362nd1582/4122
Rebound Rate11.3%64th1143/3177
ReboundingOffense▶
Offensive Rebounds0.755th1859/4122
ReboundingDefense▶
Defensive Rebounds2.665th1462/4122
DefenseDefense▶
Steals0.979th851/4122
Blocks0.790th423/4122
Personal Fouls1.939th2518/4122
Impact▶
Box Plus-Minus-1.415th2689/3177
Value over Replacement0.114th2729/3177
Player Efficiency Rating11.830th2209/3177
Win Shares0.436th2039/3177
Estimated Wins0.114th2734/3177
Plus Minus-0.440th2272/3781
Win Shares per 48 Minutes0.0443rd1808/3174
Possessions Played638
Regularized Adjusted Plus-Minus0.4849th1747/3440
ImpactOffense▶
Offensive Box Plus-Minus-3.57th2963/3177
Box Creation1.232nd2155/3177
Assist Percentage7.831st2173/3177
Offensive Rebound Percentage4.751st1541/3177
Turnover Percentage23.38th2918/3177
Offensive Rating91.113th2770/3174
Offensive Win Shares-0.419th2565/3177
Offensive RAPM-0.6533rd2317/3440
ImpactDefense▶
Defensive Box Plus-Minus2.167th1033/3177
Defensive Rating93.494th178/3177
Defensive Rebound Percentage18.075th795/3177
Steal Percentage2.887th366/3177
Block Percentage4.389th355/3177
Defensive Win Shares0.868th995/3177
Defensive RAPM1.1367th1126/3440
On Off▶
Net Rating with Him On-10.121st2685/3400
Possessions with Him On140
19 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
MORGMarch 9, 2023@UMESUMES17203002-2801014
MORGMarch 2, 2023COPPCOPP19426010-2300100
MORGFeb 27, 2023@UMESUMES221447016-7921054
MORGFeb 25, 2023DSUDSU17735011-4201210
MORGFeb 4, 2023DSUDSU10427010-0113011
MORGJan 30, 2023UMESUMES31815115-6211212
MORGJan 28, 2023@DSUDSU26314110-0320241
MORGJan 23, 2023NORFNORF21202012-2420115
MORGJan 21, 2023@HOWHOW21104021-4101032
MORGJan 18, 2023HARTHART25613014-5501101
MORGJan 14, 2023@COPPCOPP5000000-0000110
MORGJan 9, 2023SCSTSCST5000000-0100003
MORGNov 23, 2022@LMULMU12422000-1201002
MORGNov 20, 2022QUCQUC26936013-4301021
MORGNov 18, 2022UVUUVU9000000-0100012
MORGNov 15, 2022@AKRAKR23736110-0720312
MORGNov 12, 2022@VCUVCU11102011-2401011
MORGNov 10, 2022PSGAPSGA201878222-2343152
MORGNov 7, 2022@XAVXAV#20281669004-4323023

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.