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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.

GT

Mouhamed Sylla

In defensive rebounds, Mouhamed Sylla is 123rd of 4184 players, at 5.2 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 Played16
Minutes21.456th1853/4184
Games Started15
ScoringOffense▶
Usage Rate22.5%77th945/4184
Points9.670th1272/4184
ShootingOffense▶
Field Goals Made4.181st805/4184
Field Goals Attempted7.168th1348/4184
Field Goal Percentage57.9%94th120/2133
Three-Pointers Made0.119th3371/4184
Effective Field Goal Percentage58.3%85th323/2133
Three-Pointers Attempted0.318th3438/4184
Three-Point Percentage25%—
Free Throws Made1.358th1755/4184
Free Throws Attempted3.179th882/4184
True Shooting Percentage56.8%55th962/2133
Free Throw Percentage42.9%0th1304/1308
Two Pointers Made4.192nd328/4184
Two Pointers Attempted6.989th475/4184
Two Point Percentage59.1%80th291/1443
Shot ProfileOffense▶
Three-Point Attempt Rate3.5%6th2006/2133
Free Throw Rate43%75th541/2133
Shot LocationsOffense▶
Paint Makes2.384th603/3850
Paint Attempts3.781st719/3850
Paint Percentage61%78th233/1079
Mid Range Makes0.272nd1078/3850
Mid Range Attempts0.461st1473/3850
Mid Range Percentage50%—
PlaymakingOffense▶
Assists0.634th2757/4184
Turnovers1.426th3090/4184
Assist to Turnover Ratio0.436th3147/3361
Points Created by Assists1.135th2441/3757
Rebounding▶
Rebounds7.296th150/4184
Rebound Rate20.2%98th68/3278
ReboundingOffense▶
Offensive Rebounds292nd338/4184
ReboundingDefense▶
Defensive Rebounds5.297th123/4184
DefenseDefense▶
Steals0.865th1430/4184
Blocks1.295th199/4184
Personal Fouls2.225th3115/4184
Impact▶
Box Plus-Minus4.171st951/3278
Value over Replacement0.645th1806/3278
Player Efficiency Rating19.986th460/3278
Win Shares0.333rd2186/3278
Estimated Wins0.643rd1864/3278
Plus Minus0.560th1557/3879
Win Shares per 48 Minutes0.0441st1940/3278
Possessions Played610
Regularized Adjusted Plus-Minus0.8053rd1740/3669
ImpactOffense▶
Offensive Box Plus-Minus1.561st1266/3278
Box Creation1.537th2047/3278
Assist Percentage6.318th2683/3278
Offensive Rebound Percentage11.688th388/3278
Turnover Percentage14.544th1816/3278
Offensive Rating99.419th2665/3278
Offensive Win Shares-0.322nd2539/3278
Offensive RAPM1.5672nd1016/3669
ImpactDefense▶
Defensive Box Plus-Minus2.676th801/3278
Defensive Rating100.888th387/3278
Defensive Rebound Percentage28.299th36/3278
Steal Percentage2.059th1267/3278
Block Percentage6.494th186/3278
Defensive Win Shares0.662nd1249/3278
Defensive RAPM-0.7727th2659/3669
On Off▶
Net Rating with Him On1.856th1598/3623
Net Rating with Him Off-29.198th71/3520
On Off Difference30.998th80/3520
Possessions with Him On342
16 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
GTJan 24, 2026CLEMCLEM8102001-2310002
GTJan 10, 2026@MIAMIA2001000-0000000
GTDec 31, 2025@DUKEDUKE#313846000-0320212
GTDec 28, 2025FAMUFAMU131148003-4800210
GTDec 20, 2025LAFLAF14838002-3511021
GTDec 16, 2025MRSTMRST2514710000-0811012
GTDec 6, 2025MONMMONM2213610001-4901124
GTDec 3, 2025MSSTMSST261257012-5510102
GTNov 29, 2025@DRKEDRKE14522001-5110104
GTNov 28, 2025@DEPDEP241057000-0702110
GTNov 23, 2025WGAWGA291358003-51102114
GTNov 18, 2025GASOGASO261244113-61101132
GTNov 14, 2025@UGAUGA24729013-7800125
GTNov 10, 2025SELASELA3716812000-21000203
GTNov 7, 2025BRYBRY311059000-01131431
GTNov 3, 2025UMESUMES3414611012-61503263

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.