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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.

SCU

Henrik Jadersten

Henrik Jadersten is 2593rd of 2747 players in points created by assists, at 0.1 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 Played30
Minutes12.729th2763/3918
Games Started1
ScoringOffense▶
Usage Rate19.1%56th1744/3918
Points3.532nd2673/3918
ShootingOffense▶
Field Goals Made1.434th2585/3918
Field Goals Attempted2.729th2782/3918
Field Goal Percentage50.6%—
Three-Pointers Made0.446th2112/3918
Effective Field Goal Percentage58%—
Three-Pointers Attempted140th2366/3918
Three-Point Percentage38.7%—
Free Throws Made0.422nd3072/3918
Free Throws Attempted0.415th3334/3918
True Shooting Percentage60.5%—
Free Throw Percentage84.6%—
Two Pointers Made138th2444/3918
Two Pointers Attempted1.731st2687/3918
Two Point Percentage58%—
Shot ProfileOffense▶
Three-Point Attempt Rate38.3%—
Free Throw Rate16%—
Shot LocationsOffense▶
Paint Makes016th2677/3186
Paint Attempts0.116th2651/3186
Paint Percentage50%—
Mid Range Makes023rd1712/3186
Mid Range Attempts06th2772/3186
PlaymakingOffense▶
Assists0.318th3191/3918
Turnovers0.673rd1057/3918
Assist to Turnover Ratio0.4714th2663/3105
Points Created by Assists0.15th2593/2747
Rebounding▶
Rebounds2.135th2540/3918
Rebound Rate9.3%48th1573/3064
ReboundingOffense▶
Offensive Rebounds0.651st1907/3918
ReboundingDefense▶
Defensive Rebounds1.432nd2648/3918
DefenseDefense▶
Steals0.112th3439/3918
Blocks0.471st1140/3918
Personal Fouls1.943rd2228/3918
Impact▶
Box Plus-Minus0.634th2024/3064
Value over Replacement0.330th2138/3064
Player Efficiency Rating12.841st1803/3064
Win Shares0.027th2246/3064
Estimated Wins0.430th2150/3064
Plus Minus0.164th1256/3458
Win Shares per 48 Minutes0.0027th2222/3064
Possessions Played680
ImpactOffense▶
Offensive Box Plus-Minus-0.928th2218/3064
Box Creation0.46th2887/3064
Assist Percentage5.112th2678/3064
Offensive Rebound Percentage5.860th1226/3064
Turnover Percentage18.035th1983/3064
Offensive Rating107.765th1067/3064
Offensive Win Shares0.451st1490/3064
ImpactDefense▶
Defensive Box Plus-Minus1.558th1284/3064
Defensive Rating112.95th2910/3064
Defensive Rebound Percentage12.740th1837/3064
Steal Percentage0.63rd2929/3064
Block Percentage2.674th778/3064
Defensive Win Shares-0.49th2789/3064
30 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
SCUMarch 8, 2019USDUSD15213010-1100113
SCUMarch 2, 2019@PORTPORT10002000-0110002
SCUFeb 28, 2019@LMULMU17312120-0600103
SCUFeb 23, 2019SFSF10211000-0010010
SCUFeb 16, 2019PACPAC12313130-0210001
SCUFeb 14, 2019SMCSMC13623230-0100011
SCUFeb 9, 2019@SFSF11526120-0300011
SCUFeb 7, 2019@PEPPPEPP4212010-0100013
SCUFeb 2, 2019PORTPORT12002010-0200222
SCUJan 26, 2019LMULMU12947120-0300005
SCUJan 24, 2019GONZGONZ#110002010-0300211
SCUJan 19, 2019@PACPAC13723112-2200111
SCUJan 17, 2019@SMCSMC13213000-0000011
SCUJan 12, 2019@BYUBYU23313021-2300004
SCUJan 10, 2019PEPPPEPP21211000-0301113
SCUJan 5, 2019@GONZGONZ#18001000-0010022
SCUJan 3, 2019USDUSD20524110-0402100
SCUDec 29, 2018@WSUWSU4200002-2000001
SCUDec 21, 2018IDHOIDHO6211000-0210002
SCUDec 18, 2018USCUSC20215020-0600012
SCUDec 13, 2018MVSUMVSU8733001-1310022
SCUDec 9, 2018SONSON9000000-0310001
SCUDec 7, 2018IDSTIDST211046012-2200013
SCUDec 1, 2018NAUNAU20724132-2210014
SCUNov 29, 2018JKSTJKST4000000-0000000
SCUNov 26, 2018@CALCAL22423010-0210113
SCUNov 24, 2018@SJSUSJSU271779221-1400002
SCUNov 20, 2018MINNMINN8311110-0001103
SCUNov 18, 2018@WASHWASH1000000-0100002
SCUNov 15, 2018UCIUCI6001010-0200000

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.