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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.

FDU

Tyler Jones

In points, Tyler Jones is 3432nd of 3918 players, at 1.6 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 7 shown▶
Playing Time▶
Games Played27
Minutes6.712th3459/3918
Games Started0
ScoringOffense▶
Usage Rate15.8%30th2757/3918
Points1.612th3432/3918
ShootingOffense▶
Field Goals Made0.511th3486/3918
Field Goals Attempted1.19th3559/3918
Field Goal Percentage45.2%—
Three-Pointers Made0.444th2191/3918
Effective Field Goal Percentage61.3%—
Three-Pointers Attempted0.731st2689/3918
Three-Point Percentage55.6%—
Free Throws Made0.213th3412/3918
Free Throws Attempted0.39th3549/3918
True Shooting Percentage63.7%—
Free Throw Percentage75%—
Two Pointers Made0.15th3715/3918
Two Pointers Attempted0.57th3633/3918
Two Point Percentage30.8%—
Shot ProfileOffense▶
Three-Point Attempt Rate58.1%—
Free Throw Rate25.8%—
PlaymakingOffense▶
Assists0.741st2304/3918
Turnovers0.863rd1447/3918
Assist to Turnover Ratio0.86—
Rebounding▶
Rebounds0.66th3694/3918
ReboundingOffense▶
Offensive Rebounds0.17th3620/3918
ReboundingDefense▶
Defensive Rebounds0.46th3662/3918
DefenseDefense▶
Steals0.546th2121/3918
Blocks06th3420/3918
Personal Fouls0.983rd678/3918
27 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
FDUMarch 21, 2019@GONZGONZ#14000000-0100011
FDUMarch 19, 2019@PVPV6002010-0000000
FDUMarch 12, 2019@SFPASFPA3000000-0000000
FDUMarch 9, 2019RMURMU3000000-0000000
FDUMarch 6, 2019WAGWAG8004010-0231032
FDUMarch 2, 2019@CCSUCCSU3000000-0000000
FDUFeb 28, 2019@MSMMSM4000000-0110010
FDUFeb 23, 2019WAGWAG3000000-0000011
FDUFeb 21, 2019SHUSHU3000000-0010000
FDUFeb 16, 2019BRYBRY4000000-0000001
FDUFeb 14, 2019SFPASFPA2000000-1100001
FDUFeb 9, 2019@SFBKSFBK6311110-0000010
FDUJan 12, 2019@WAGWAG13622220-0111012
FDUJan 10, 2019CCSUCCSU16524130-1220022
FDUJan 5, 2019@SFPASFPA9311110-0112010
FDUJan 3, 2019@RMURMU21414012-2134021
FDUDec 29, 2018@USFUSF3000000-0000011
FDUDec 21, 2018@MASSMASS3000000-0000001
FDUDec 19, 2018SPUSPU2000000-0000000
FDUDec 15, 2018NJITNJIT8312120-0210001
FDUDec 12, 2018ARMYARMY11313120-0121011
FDUNov 27, 2018@PROVPROV8211000-0001011
FDUNov 25, 2018LAFLAF4001010-0010000
FDUNov 21, 2018@PRINPRIN4311110-0001021
FDUNov 16, 2018NEWNEW7200002-2111012
FDUNov 14, 2018QUNYQUNY131035222-2001022
FDUNov 9, 2018@RUTGRUTG10000000-0120014

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.