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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.

WASH

Noah Dickerson

Noah Dickerson is 65th of 3064 players in defensive rating, at 90.6.

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 Played36
Minutes25.969th1201/3918
Games Started33
ScoringOffense▶
Usage Rate25.5%89th435/3918
Points12.384th630/3918
ShootingOffense▶
Field Goals Made480th774/3918
Field Goals Attempted7.369th1207/3918
Field Goal Percentage55.6%93rd122/1753
Three-Pointers Made09th3247/3918
Effective Field Goal Percentage55.6%77th405/1753
Three-Pointers Attempted011th3501/3918
Three-Point Percentage0%—
Free Throws Made4.398th92/3918
Free Throws Attempted6.299th46/3918
True Shooting Percentage61.7%89th196/1753
Free Throw Percentage68.8%35th837/1296
Two Pointers Made492nd306/3918
Two Pointers Attempted7.290th385/3918
Two Point Percentage55.8%74th237/924
Shot ProfileOffense▶
Three-Point Attempt Rate0.4%3rd1700/1753
Free Throw Rate85.8%100th1/1753
Shot LocationsOffense▶
Paint Makes2.399th39/3186
Paint Attempts398th72/3186
Paint Percentage77.8%94th12/187
Mid Range Makes047th1673/3186
Mid Range Attempts0.991st294/3186
Mid Range Percentage3.2%1st344/349
PlaymakingOffense▶
Assists0.949th1983/3918
Turnovers2.57th3649/3918
Assist to Turnover Ratio0.358th2869/3105
Points Created by Assists0.970th815/2747
Rebounding▶
Rebounds7.596th157/3918
Rebound Rate20.2%98th62/3064
ReboundingOffense▶
Offensive Rebounds2.496th161/3918
ReboundingDefense▶
Defensive Rebounds5.195th190/3918
DefenseDefense▶
Steals183rd666/3918
Blocks0.684th644/3918
Personal Fouls2.95th3734/3918
Impact▶
Box Plus-Minus3.869th940/3064
Value over Replacement1.575th751/3064
Player Efficiency Rating23.695th164/3064
Win Shares3.591st266/3064
Estimated Wins1.777th692/3064
Plus Minus4.999th50/3458
Win Shares per 48 Minutes0.1691st277/3064
Possessions Played1,396
Regularized Adjusted Plus-Minus5.1198th42/2231
ImpactOffense▶
Offensive Box Plus-Minus1.864th1102/3064
Box Creation2.060th1218/3064
Assist Percentage7.830th2122/3064
Offensive Rebound Percentage13.795th142/3064
Turnover Percentage20.621st2425/3064
Offensive Rating106.762nd1159/3064
Offensive Win Shares1.478th686/3064
Offensive RAPM2.1990th231/2231
ImpactDefense▶
Defensive Box Plus-Minus2.069th954/3064
Defensive Rating90.698th65/3064
Defensive Rebound Percentage26.497th91/3064
Steal Percentage2.480th570/3064
Block Percentage2.674th778/3064
Defensive Win Shares2.298th58/3064
Defensive RAPM2.9296th80/2231
On Off▶
Net Rating with Him On11.879th436/2112
Net Rating with Him Off-14.085th183/1185
On Off Difference25.894th73/1185
Possessions with Him On958
36 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
WASHMarch 24, 2019@UNCUNC#7271047002-5611222
WASHMarch 22, 2019@USUUSU3520713006-61202121
WASHMarch 16, 2019OREORE24637000-0600045
WASHMarch 15, 2019COLOCOLO28724003-71111023
WASHMarch 14, 2019USCUSC34217000-11130132
WASHMarch 9, 2019OREORE311448006-111601043
WASHMarch 6, 2019ORSTORST3522813006-101702254
WASHMarch 3, 2019@STANSTAN211239006-6501054
WASHFeb 28, 2019@CALCAL32847000-0701201
WASHFeb 23, 2019COLOCOLO22637000-1533022
WASHFeb 20, 2019UTAHUTAH251135005-6300033
WASHFeb 16, 2019@WSUWSU361878004-51020011
WASHFeb 9, 2019@ASUASU181857008-12810034
WASHFeb 7, 2019@ARIZARIZ261034004-7301033
WASHFeb 2, 2019UCLAUCLA14312001-2601210
WASHJan 30, 2019USCUSC3521710007-101421112
WASHJan 26, 2019@ORSTORST18723003-7600013
WASHJan 24, 2019@OREORE291155001-2432032
WASHJan 19, 2019CALCAL3412130010-151122033
WASHJan 17, 2019STANSTAN11312001-2200013
WASHJan 12, 2019@COLOCOLO22722003-6810054
WASHJan 10, 2019@UTAHUTAH201358003-4600014
WASHJan 5, 2019WSUWSU29424000-1112014
WASHJan 1, 2019CSUFCSUF3016511016-71233104
WASHDec 21, 2018SACSAC151245004-4100124
WASHDec 15, 2018VTVT#1325715005-7731125
WASHDec 9, 2018SEASEA251346005-6612003
WASHDec 5, 2018@GONZGONZ#1261349005-6702155
WASHDec 2, 2018UCSBUCSB3522680010-13801241
WASHNov 27, 2018EWUEWU11736001-2301012
WASHNov 21, 2018@MINNMINN32289110010-13710053
WASHNov 20, 2018TA&MTA&M31247190010-171720022
WASHNov 18, 2018SCUSCU281125007-9514273
WASHNov 12, 2018USDUSD2816513006-6811002
WASHNov 9, 2018@AUBAUB#121712610000-0501055
WASHNov 6, 2018WKUWKU231868006-8600224

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.