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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

Matisse Thybulle

Matisse Thybulle sits 5th of 3064 players in defensive rating, at 84.2.

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 Played36
Minutes31.186th531/3918
Games Started36
ScoringOffense▶
Usage Rate17.3%41st2306/3918
Points9.169th1198/3918
ShootingOffense▶
Field Goals Made3.168th1270/3918
Field Goals Attempted7.571st1127/3918
Field Goal Percentage41.5%37th1105/1753
Three-Pointers Made1.377th903/3918
Effective Field Goal Percentage50%42nd997/1753
Three-Pointers Attempted4.282nd701/3918
Three-Point Percentage30.5%13th1046/1197
Free Throws Made1.669th1202/3918
Free Throws Attempted1.961st1542/3918
True Shooting Percentage54.6%48th916/1753
Free Throw Percentage85.1%—
Two Pointers Made1.862nd1476/3918
Two Pointers Attempted3.357th1686/3918
Two Point Percentage55.5%—
Shot ProfileOffense▶
Three-Point Attempt Rate55.9%77th399/1753
Free Throw Rate24.8%32nd1184/1753
Shot LocationsOffense▶
Paint Makes1.192nd269/3186
Paint Attempts1.488th367/3186
Paint Percentage76.9%—
Mid Range Makes047th1673/3186
Mid Range Attempts0.685th487/3186
Mid Range Percentage4.8%—
PlaymakingOffense▶
Assists2.181st751/3918
Turnovers1.821st3097/3918
Assist to Turnover Ratio1.1763rd1160/3105
Points Created by Assists3.495th130/2747
Rebounding▶
Rebounds3.157th1686/3918
Rebound Rate7%29th2158/3064
ReboundingOffense▶
Offensive Rebounds0.858th1625/3918
ReboundingDefense▶
Defensive Rebounds2.357th1668/3918
DefenseDefense▶
Steals3.5100th1/3918
Blocks2.3100th20/3918
Personal Fouls2.88th3589/3918
Impact▶
Box Plus-Minus13.3100th11/3064
Value over Replacement4.9100th6/3064
Player Efficiency Rating21.289th336/3064
Win Shares4.897th80/3064
Estimated Wins5.5100th6/3064
Plus Minus4.898th56/3458
Win Shares per 48 Minutes0.1894th172/3064
Possessions Played1,689
Regularized Adjusted Plus-Minus6.1799th14/2231
ImpactOffense▶
Offensive Box Plus-Minus3.785th471/3064
Box Creation2.060th1208/3064
Assist Percentage13.264th1099/3064
Offensive Rebound Percentage3.744th1694/3064
Turnover Percentage17.539th1871/3064
Offensive Rating107.063rd1127/3064
Offensive Win Shares1.172nd843/3064
Offensive RAPM1.2477th505/2231
ImpactDefense▶
Defensive Box Plus-Minus9.6100th1/3064
Defensive Rating84.2100th5/3064
Defensive Rebound Percentage10.222nd2391/3064
Steal Percentage6.9100th1/3064
Block Percentage9.198th68/3064
Defensive Win Shares3.6100th1/3064
Defensive RAPM4.93100th5/2231
On Off▶
Net Rating with Him On8.671st602/2112
Net Rating with Him Off-21.394th74/1185
On Off Difference29.996th44/1185
Possessions with Him On1,173
36 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
WASHMarch 24, 2019@UNCUNC#736218050-0244321
WASHMarch 22, 2019@USUUSU301049240-0325344
WASHMarch 16, 2019OREORE29428040-0301102
WASHMarch 15, 2019COLOCOLO311248252-2211325
WASHMarch 14, 2019USCUSC34428040-0425111
WASHMarch 9, 2019OREORE37627260-0215332
WASHMarch 6, 2019ORSTORST36936251-2124201
WASHMarch 3, 2019@STANSTAN368410020-0214232
WASHFeb 28, 2019@CALCAL38415032-2471312
WASHFeb 23, 2019COLOCOLO2517713241-2316505
WASHFeb 20, 2019UTAHUTAH331049230-0706412
WASHFeb 16, 2019@WSUWSU349411150-0235022
WASHFeb 9, 2019@ASUASU35316150-0333224
WASHFeb 7, 2019@ARIZARIZ271558342-2225544
WASHFeb 2, 2019UCLAUCLA351448353-5437140
WASHJan 30, 2019USCUSC3417510146-7627252
WASHJan 26, 2019@ORSTORST231146023-4335033
WASHJan 24, 2019@OREORE36204042-2573144
WASHJan 19, 2019CALCAL3313510261-2432522
WASHJan 17, 2019STANSTAN23824014-4215124
WASHJan 12, 2019@COLOCOLO27914146-7211214
WASHJan 10, 2019@UTAHUTAH30424020-0330412
WASHJan 5, 2019WSUWSU301744336-6422442
WASHJan 1, 2019CSUFCSUF3113410154-4301134
WASHDec 21, 2018SACSAC3612410252-2417202
WASHDec 15, 2018VTVT#133316510591-1224003
WASHDec 9, 2018SEASEA27626032-4333323
WASHDec 5, 2018@GONZGONZ#13318611363-3242002
WASHDec 2, 2018UCSBUCSB3013510360-0326125
WASHNov 27, 2018EWUEWU22836250-0322313
WASHNov 21, 2018@MINNMINN26212010-0311314
WASHNov 20, 2018TA&MTA&M26725142-2014224
WASHNov 18, 2018SCUSCU23205042-2401202
WASHNov 12, 2018USDUSD36638030-0325112
WASHNov 9, 2018@AUBAUB#1234737140-0252222
WASHNov 6, 2018WKUWKU299310162-2601614

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.