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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.

SMC

Kristers Zoriks

Kristers Zoriks comes in 439th of 3720 players in turnovers, at 0.4 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 Played23
Minutes11.824th2837/3720
Games Started1
ScoringOffense▶
Usage Rate14.6%21st2921/3720
Points3.731st2551/3720
ShootingOffense▶
Field Goals Made1.228th2683/3720
Field Goals Attempted2.423rd2875/3720
Field Goal Percentage50%—
Three-Pointers Made0.760th1471/3720
Effective Field Goal Percentage65.2%—
Three-Pointers Attempted1.343rd2117/3720
Three-Point Percentage56.7%—
Free Throws Made0.630th2620/3720
Free Throws Attempted0.826th2739/3720
True Shooting Percentage67.3%—
Free Throw Percentage72.2%—
Two Pointers Made0.517th3094/3720
Two Pointers Attempted1.119th3024/3720
Two Point Percentage42.3%—
Shot ProfileOffense▶
Three-Point Attempt Rate53.6%—
Free Throw Rate32.1%—
Shot LocationsOffense▶
Paint Makes0.335th2157/3347
Paint Attempts0.734th2216/3347
Paint Percentage53.3%—
Mid Range Makes013th2498/3347
Mid Range Attempts0.352nd1602/3347
Mid Range Percentage0%—
PlaymakingOffense▶
Assists0.741st2189/3720
Turnovers0.488th439/3720
Assist to Turnover Ratio1.8992nd231/3075
Points Created by Assists1.560th1277/3217
Rebounding▶
Rebounds112th3287/3720
Rebound Rate6.3%19th2411/3007
ReboundingOffense▶
Offensive Rebounds02nd3630/3720
ReboundingDefense▶
Defensive Rebounds118th3040/3720
DefenseDefense▶
Steals0.439th2282/3720
Blocks06th3276/3720
Personal Fouls0.987th475/3720
Impact▶
Box Plus-Minus6.689th341/3007
Value over Replacement0.747th1595/3007
Player Efficiency Rating16.567th981/3007
Win Shares1.055th1343/3007
Estimated Wins0.850th1503/3007
Plus Minus494th212/3409
Win Shares per 48 Minutes0.1588th357/3007
Possessions Played435
Regularized Adjusted Plus-Minus0.8258th1306/3141
ImpactOffense▶
Offensive Box Plus-Minus3.785th449/3007
Box Creation2.370th904/3007
Assist Percentage11.253rd1406/3007
Offensive Rebound Percentage0.51st2962/3007
Turnover Percentage11.188th359/3007
Offensive Rating128.499th25/3007
Offensive Win Shares0.967th1000/3007
Offensive RAPM1.8983rd535/3141
ImpactDefense▶
Defensive Box Plus-Minus2.983rd514/3007
Defensive Rating102.238th1863/3007
Defensive Rebound Percentage11.932nd2035/3007
Steal Percentage2.375th706/3007
Block Percentage0.04th2796/3007
Defensive Win Shares0.128th2164/3007
Defensive RAPM-1.0621st2468/3141
On Off▶
Net Rating with Him On6.767th1028/3082
Net Rating with Him Off11.020th2145/2699
On Off Difference-4.337th1688/2699
Possessions with Him On419
23 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
SMCMarch 10, 2020@GONZGONZ#311001000-0000000
SMCMarch 9, 2020@BYUBYU#178212000-0100021
SMCFeb 29, 2020@GONZGONZ#312314130-0110001
SMCFeb 27, 2020@SCUSCU19524110-1111000
SMCFeb 22, 2020USDUSD15737140-0011003
SMCFeb 15, 2020PACPAC5211000-1200000
SMCFeb 8, 2020GONZGONZ#32000000-0001011
SMCJan 30, 2020PORTPORT4622220-0010000
SMCJan 18, 2020@PEPPPEPP0000000-0000010
SMCJan 4, 2020@PACPAC15314110-0000002
SMCDec 28, 2019SEASEA11312011-2101002
SMCDec 18, 2019@ASUASU12201002-2221012
SMCDec 14, 2019@CALCAL14001010-0201011
SMCDec 8, 2019DAYDAY#4271458222-2312011
SMCDec 5, 2019NIUNIU241034232-2111012
SMCDec 1, 2019OMAOMA301146340-0220001
SMCNov 29, 2019USUUSU14301013-4011000
SMCNov 24, 2019SONSON19624240-0350001
SMCNov 23, 2019LEHLEH1300003-4000000
SMCNov 17, 2019CPCP13623230-0100011
SMCNov 14, 2019LBSULBSU3000000-0100000
SMCNov 11, 2019WINWIN4000000-0100000
SMCNov 5, 2019@WISWIS#199001000-0210001

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.