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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.

MTSU

TJ Massenburg

TJ Massenburg places 3773rd of 3918 players in steals, at 0 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 Played26
Minutes5.38th3616/3918
Games Started0
ScoringOffense▶
Usage Rate9.5%3rd3807/3918
Points0.85th3733/3918
ShootingOffense▶
Field Goals Made0.36th3691/3918
Field Goals Attempted0.63rd3785/3918
Field Goal Percentage50%—
Three-Pointers Made09th3247/3918
Effective Field Goal Percentage50%—
Three-Pointers Attempted05th3505/3918
Free Throws Made0.211th3496/3918
Free Throws Attempted0.413th3414/3918
True Shooting Percentage51.5%—
Free Throw Percentage50%—
Two Pointers Made0.312th3434/3918
Two Pointers Attempted0.610th3518/3918
Two Point Percentage50%—
Shot ProfileOffense▶
Three-Point Attempt Rate0%—
Free Throw Rate62.5%—
Shot LocationsOffense▶
Paint Makes05th2851/3186
Paint Attempts02nd3050/3186
Mid Range Makes062nd1192/3186
Mid Range Attempts0.142nd1826/3186
Mid Range Percentage33.3%—
PlaymakingOffense▶
Assists0.14th3743/3918
Turnovers0.392nd307/3918
Assist to Turnover Ratio0.29—
Rebounding▶
Rebounds1.218th3228/3918
ReboundingOffense▶
Offensive Rebounds0.539th2392/3918
ReboundingDefense▶
Defensive Rebounds0.815th3343/3918
DefenseDefense▶
Steals04th3773/3918
Blocks0.366th1348/3918
Personal Fouls0.594th235/3918
Impact▶
Plus Minus-0.628th2487/3458
26 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
MTSUMarch 13, 2019@UABUAB1000000-0000000
MTSUMarch 9, 2019UTEPUTEP10000000-0200101
MTSUMarch 6, 2019@UTEPUTEP2000000-0000000
MTSUMarch 3, 2019@RICERICE3000000-0000010
MTSUFeb 23, 2019CLTCLT2211000-0100000
MTSUFeb 16, 2019@MRSHMRSH7000000-0100001
MTSUFeb 14, 2019@WKUWKU1000000-0000000
MTSUFeb 9, 2019ODUODU9212000-0000101
MTSUFeb 7, 2019CLTCLT0000000-0000000
MTSUFeb 2, 2019@UABUAB2211000-0200000
MTSUJan 26, 2019@UNTUNT10212000-0200001
MTSUJan 19, 2019UTEPUTEP3000000-0000002
MTSUJan 12, 2019@LTLT5000000-0010100
MTSUJan 10, 2019@USMUSM5100001-4100000
MTSUJan 5, 2019FAUFAU2000000-0100000
MTSUDec 21, 2018MISSMISS6000000-0200112
MTSUDec 15, 2018@TOLTOL1000000-0000000
MTSUDec 8, 2018MURMUR3000000-0200000
MTSUDec 5, 2018@VANVAN17213000-0300010
MTSUDec 1, 2018LIPLIP7000000-0200001
MTSUNov 22, 2018@BUTBUT2000000-0000000
MTSUNov 21, 2018@UVAUVA#23001000-0000100
MTSUNov 16, 2018CHSOCHSO10511003-4300012
MTSUNov 12, 2018@BELBEL4001000-0200100
MTSUNov 9, 2018MILGMILG14524001-2501021
MTSUNov 6, 2018LMCRLMCR9000000-0310211

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.