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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

Antonio Gillespie

Antonio Gillespie sits 3677th of 3918 players in defensive rebounds, at 0.4 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 9 shown▶
Playing Time▶
Games Played23
Minutes1433rd2612/3918
Games Started10
ScoringOffense▶
Usage Rate15.5%28th2836/3918
Points3.532nd2665/3918
ShootingOffense▶
Field Goals Made1.332nd2681/3918
Field Goals Attempted4.344th2176/3918
Field Goal Percentage29.6%—
Three-Pointers Made168th1266/3918
Effective Field Goal Percentage40.8%—
Three-Pointers Attempted3.373rd1070/3918
Three-Point Percentage29.3%8th1104/1197
Free Throws Made03rd3794/3918
Free Throws Attempted0.25th3733/3918
True Shooting Percentage40.6%—
Free Throw Percentage25%—
Two Pointers Made0.312th3443/3918
Two Pointers Attempted118th3190/3918
Two Point Percentage30.4%—
Shot ProfileOffense▶
Three-Point Attempt Rate76.5%—
Free Throw Rate4.1%—
Shot LocationsOffense▶
Paint Makes05th2851/3186
Paint Attempts02nd3050/3186
Mid Range Makes023rd1712/3186
Mid Range Attempts023rd2441/3186
Mid Range Percentage0%—
PlaymakingOffense▶
Assists0.529th2767/3918
Turnovers0.486th558/3918
Assist to Turnover Ratio1.2265th1067/3105
Rebounding▶
Rebounds0.79th3583/3918
Rebound Rate3.1%0th3050/3064
ReboundingOffense▶
Offensive Rebounds0.324th2985/3918
ReboundingDefense▶
Defensive Rebounds0.46th3677/3918
DefenseDefense▶
Steals0.438th2423/3918
Blocks020th3132/3918
Personal Fouls1.368th1267/3918
Impact▶
Box Plus-Minus-3.75th2912/3064
Value over Replacement-0.27th2857/3064
Player Efficiency Rating4.72nd3006/3064
Win Shares-0.415th2614/3064
Estimated Wins-0.27th2848/3064
Plus Minus-0.532nd2363/3458
Win Shares per 48 Minutes-0.0510th2763/3064
Possessions Played592
ImpactOffense▶
Offensive Box Plus-Minus-2.810th2762/3064
Box Creation0.35th2908/3064
Assist Percentage6.420th2444/3064
Offensive Rebound Percentage2.427th2202/3064
Turnover Percentage8.397th88/3064
Offensive Rating87.810th2748/3064
Offensive Win Shares-0.420th2449/3064
ImpactDefense▶
Defensive Box Plus-Minus-0.810th2745/3064
Defensive Rating108.418th2499/3064
Defensive Rebound Percentage4.10th3059/3064
Steal Percentage1.541st1742/3064
Block Percentage0.317th2472/3064
Defensive Win Shares-0.120th2431/3064
23 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
MORGMarch 12, 2019@COPPCOPP15625230-0110002
MORGMarch 7, 2019COPPCOPP14004030-0100011
MORGMarch 4, 2019@UMESUMES11526130-0110000
MORGMarch 2, 2019@DSUDSU190010090-0100001
MORGFeb 25, 2019HOWHOW17315150-0110113
MORGFeb 23, 2019NORFNORF16102021-3000012
MORGFeb 11, 2019@SAVSAV3410411280-1424023
MORGFeb 9, 2019@SCSTSCST3417610580-0200002
MORGFeb 2, 2019@COPPCOPP17624240-0000001
MORGJan 28, 2019FAMUFAMU2000000-0000000
MORGJan 15, 2019@HOWHOW10314140-0110001
MORGJan 12, 2019SCSTSCST2001000-0000000
MORGJan 7, 2019SAVSAV11623230-0000011
MORGJan 5, 2019UMESUMES4003030-0000000
MORGDec 29, 2018@CSUNCSUN10311110-0210013
MORGDec 22, 2018@ODUODU26313120-0012012
MORGDec 17, 2018WUDEWUDE14217030-0002012
MORGDec 8, 2018@TOWTOW8311110-0000001
MORGDec 5, 2018BINGBING9003030-0120001
MORGDec 3, 2018@UVAUVA#216315140-0001001
MORGNov 28, 2018@GMUGMU5001000-0000001
MORGNov 25, 2018MSMMSM12525140-0110002
MORGNov 20, 2018NAVYNAVY15524120-0100001

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.