Every player
New here?

How to read this page

▶

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.

COR

Troy Whiteside

In value over replacement, Troy Whiteside is 2914th of 3064 players, at -0.2.

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
Minutes11.726th2899/3918
Games Started15
ScoringOffense▶
Usage Rate15.9%31st2715/3918
Points2.522nd3041/3918
ShootingOffense▶
Field Goals Made125th2931/3918
Field Goals Attempted2.728th2809/3918
Field Goal Percentage37.7%—
Three-Pointers Made0.338th2415/3918
Effective Field Goal Percentage42.8%—
Three-Pointers Attempted1.141st2330/3918
Three-Point Percentage25%—
Free Throws Made0.213th3395/3918
Free Throws Attempted0.517th3226/3918
True Shooting Percentage43.5%—
Free Throw Percentage46.2%—
Two Pointers Made0.729th2784/3918
Two Pointers Attempted1.630th2751/3918
Two Point Percentage46.3%—
Shot ProfileOffense▶
Three-Point Attempt Rate40.6%—
Free Throw Rate18.8%—
Shot LocationsOffense▶
Paint Makes05th2851/3186
Paint Attempts010th2861/3186
Paint Percentage0%—
Mid Range Makes023rd1712/3186
Mid Range Attempts06th2772/3186
PlaymakingOffense▶
Assists0.426th2894/3918
Turnovers0.772nd1100/3918
Assist to Turnover Ratio0.6525th2312/3105
Points Created by Assists0.113th2375/2747
Rebounding▶
Rebounds113th3388/3918
Rebound Rate5.5%13th2660/3064
ReboundingOffense▶
Offensive Rebounds0.14th3741/3918
ReboundingDefense▶
Defensive Rebounds0.919th3191/3918
DefenseDefense▶
Steals0.441st2305/3918
Blocks0.251st1899/3918
Personal Fouls1.659th1609/3918
Impact▶
Box Plus-Minus-4.53rd2978/3064
Value over Replacement-0.25th2914/3064
Player Efficiency Rating4.31st3020/3064
Win Shares-0.611th2722/3064
Estimated Wins-0.25th2897/3064
Plus Minus-0.529th2440/3458
Win Shares per 48 Minutes-0.085th2901/3064
Possessions Played520
ImpactOffense▶
Offensive Box Plus-Minus-5.81st3035/3064
Box Creation0.58th2804/3064
Assist Percentage7.226th2252/3064
Offensive Rebound Percentage0.94th2928/3064
Turnover Percentage18.531st2090/3064
Offensive Rating73.11st3031/3064
Offensive Win Shares-0.98th2805/3064
ImpactDefense▶
Defensive Box Plus-Minus1.353rd1446/3064
Defensive Rating101.160th1219/3064
Defensive Rebound Percentage9.718th2496/3064
Steal Percentage2.170th852/3064
Block Percentage1.761st1181/3064
Defensive Win Shares0.340th1817/3064
26 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
CORMarch 9, 2019DARTDART4001010-0100001
CORMarch 8, 2019HARVHARV1000000-0100010
CORMarch 2, 2019@BRWNBRWN4001010-0001000
CORMarch 1, 2019@YALEYALE5001000-0000001
CORFeb 22, 2019@PRINPRIN1000000-0000000
CORFeb 16, 2019YALEYALE5001010-0010001
CORFeb 15, 2019BRWNBRWN5000000-0001000
CORFeb 9, 2019@HARVHARV4000000-0000001
CORJan 26, 2019@COLUCOLU6211000-0000001
CORJan 19, 2019COLUCOLU11002000-0210021
CORJan 9, 2019@TOWTOW8211000-0220003
CORJan 4, 2019JWUJWU14523001-1112112
CORJan 2, 2019@WAKEWAKE9214020-0201011
CORDec 30, 2018NAVYNAVY22426020-0220112
CORDec 22, 2018@SMUSMU9100001-2000012
CORDec 19, 2018@TOLTOL19316130-0011112
CORDec 17, 2018LONGLONG19727241-2200012
CORDec 16, 2018@NIANIA20313120-0200013
CORDec 1, 2018@SYRSYR7001010-0100023
CORNov 28, 2018@LAFLAF26314011-2510002
CORNov 20, 2018@CONNCONN19834220-0211003
CORNov 17, 2018@NJITNJIT12522001-2001002
CORNov 15, 2018DELDEL11214020-0100010
CORNov 11, 2018COLGCOLG21636010-2101123
CORNov 8, 2018NYCANYCA16526130-0112122
CORNov 6, 2018@BINGBING25735021-2000003

About College Basketball Research

▶

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.