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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.

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Crisshawn Clark

Crisshawn Clark comes in 2902nd of 3064 players in value over replacement, 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 10 shown▶
Playing Time▶
Games Played16
Minutes16.540th2345/3918
Games Started1
ScoringOffense▶
Usage Rate18.1%48th2056/3918
Points3.430th2731/3918
ShootingOffense▶
Field Goals Made1.126th2889/3918
Field Goals Attempted4.345th2162/3918
Field Goal Percentage24.6%—
Three-Pointers Made0.656th1700/3918
Effective Field Goal Percentage31.9%—
Three-Pointers Attempted2.463rd1451/3918
Three-Point Percentage25.6%—
Free Throws Made0.635th2529/3918
Free Throws Attempted0.829th2771/3918
True Shooting Percentage36.1%—
Free Throw Percentage76.9%—
Two Pointers Made0.417th3258/3918
Two Pointers Attempted1.935th2538/3918
Two Point Percentage23.3%—
Shot ProfileOffense▶
Three-Point Attempt Rate56.5%—
Free Throw Rate18.8%—
Shot LocationsOffense▶
Paint Makes0.141st1876/3186
Paint Attempts0.461st1233/3186
Paint Percentage28.6%—
Mid Range Makes0.170th941/3186
Mid Range Attempts0.371st907/3186
Mid Range Percentage20%—
PlaymakingOffense▶
Assists0.843rd2218/3918
Turnovers0.960th1553/3918
Assist to Turnover Ratio0.8640th1853/3105
Points Created by Assists0.972nd776/2747
Rebounding▶
Rebounds2.647th2078/3918
Rebound Rate10.1%55th1381/3064
ReboundingOffense▶
Offensive Rebounds0.755th1773/3918
ReboundingDefense▶
Defensive Rebounds1.946th2098/3918
DefenseDefense▶
Steals0.436th2479/3918
Blocks06th3420/3918
Personal Fouls1.369th1209/3918
Impact▶
Box Plus-Minus-4.82nd2995/3064
Value over Replacement-0.25th2902/3064
Player Efficiency Rating4.21st3023/3064
Win Shares-1.07th2862/3064
Estimated Wins-0.25th2909/3064
Plus Minus-3.11st3419/3458
Win Shares per 48 Minutes-0.151st3019/3064
Possessions Played441
Regularized Adjusted Plus-Minus-2.1012th1970/2231
ImpactOffense▶
Offensive Box Plus-Minus-3.75th2908/3064
Box Creation0.613th2662/3064
Assist Percentage9.441st1782/3064
Offensive Rebound Percentage5.356th1331/3064
Turnover Percentage15.851st1485/3064
Offensive Rating74.41st3020/3064
Offensive Win Shares-0.99th2796/3064
Offensive RAPM-0.7824th1689/2231
ImpactDefense▶
Defensive Box Plus-Minus-1.17th2840/3064
Defensive Rating109.415th2609/3064
Defensive Rebound Percentage14.855th1386/3064
Steal Percentage1.435th1895/3064
Block Percentage0.03rd2853/3064
Defensive Win Shares-0.119th2482/3064
Defensive RAPM-1.3216th1876/2231
On Off▶
Net Rating with Him On14.585th318/2112
Net Rating with Him Off-21.794th71/1185
On Off Difference36.298th24/1185
Possessions with Him On221
16 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
PORTMarch 7, 2019@USDUSD17312110-0302021
PORTMarch 2, 2019SCUSCU22837250-0100011
PORTFeb 28, 2019@SMCSMC18625022-2311000
PORTFeb 23, 2019@PEPPPEPP22313120-0330012
PORTFeb 21, 2019@USDUSD11100001-2200012
PORTFeb 16, 2019SFSF11003020-0220000
PORTFeb 9, 2019LMULMU9001000-0321020
PORTFeb 7, 2019BYUBYU19315140-0300011
PORTFeb 2, 2019@SCUSCU19318130-0610011
PORTJan 31, 2019PEPPPEPP26626260-0411013
PORTJan 26, 2019@PACPAC22213020-1010003
PORTJan 24, 2019@SFSF7003000-0200000
PORTJan 19, 2019GONZGONZ#116512122-2000012
PORTJan 17, 2019USDUSD16629032-2200022
PORTJan 12, 2019PACPAC17305033-4510003
PORTJan 10, 2019@BYUBYU12527140-0301010

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.