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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 for the team that season, not who is on it now. Players are identified by name here rather than by number, which is what the source offers. A dash means no number for that cell, or a zero in a roster column that counts.

LAS

Cameron Brink

Cameron Brink is 185th of 187 players in personal fouls, at 3.6 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 8 shown▶
Playing Time▶
Games Played31
Minutes19.251st93/187
Games Started1
ScoringOffense▶
Points9.564th68/187
Points off Turnovers1.763rd69/187
Second Chance Points1.782nd35/187
Fast Break Points0.543rd107/187
Points in the Paint4.368th61/187
Usage Rate23.4%85th29/187
ShootingOffense▶
Three-Pointers Made0.961st73/187
Three-Pointers Attempted2.965th67/187
Three Point Percentage31.5%26th68/92
Field Goals Made3.363rd70/187
Field Goals Attempted7.160th75/187
Field Goal Percentage46.4%64th43/119
Free Throws Made2.170th56/187
Free Throws Attempted2.771st55/187
Free Throw Percentage77.1%34th49/74
Shot LocationsOffense▶
Restricted Area Makes1.568th61/187
Restricted Area Attempts2.368th61/187
Restricted Area Percentage63.4%—
Floater Range Makes0.770th57/187
Floater Range Attempts1.459th78/187
Floater Range Percentage52.4%—
Mid Range Makes0.259th77/187
Mid Range Attempts0.659th77/187
Mid Range Percentage38.9%—
Above the Break Three Makes0.754th86/187
Above the Break Three Attempts2.361st74/187
PlaymakingOffense▶
Assists1.550th94/187
Turnovers2.49th171/187
Assist Rate12.6%46th87/160
Turnover Rate22.6%5th152/160
Box Creation2.964th58/160
Rebounding▶
Rebounds585th28/187
Rebound Rate15.7%86th22/160
ReboundingOffense▶
Offensive Rebounds1.585th29/187
Offensive Rebound Rate9.1%87th22/160
ReboundingDefense▶
Defensive Rebounds3.581st36/187
Defensive Rebound Rate22.4%85th24/160
DefenseDefense▶
Steals0.649th96/187
Blocks1.899th3/187
Personal Fouls3.61st185/187
Steal Rate1.6%38th94/160
Block Rate8.4%99th2/160
Impact▶
Plus Minus-1.444th106/187
Box Plus Minus-1.836th103/160
Value over Replacement0.036th102/160
Player Efficiency Rating15.963rd60/160
Win Shares0.630th112/160
Estimated Wins0.136th102/160
Possessions Played1,223
ImpactOffense▶
Offensive Box Plus Minus-3.114th138/160
Offensive Rating96.816th135/160
ImpactDefense▶
Defensive Box Plus Minus1.385th25/160
Defensive Rating106.075th40/160
31 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
LASSep 17, 2026@DALDAL249416031-2512422
LASAug 30, 2026@SEASEA2811315164-4621243
LASAug 28, 2026WASWAS261359122-2520222
LASAug 24, 2026ATLATL251559144-5823525
LASAug 22, 2026CONCON12733110-0130046
LASAug 20, 2026ATLATL271439385-6741033
LASAug 13, 2026@NYLNYL19946130-0721323
LASAug 11, 2026PHOPHO16736031-1510223
LASAug 9, 2026GSVGSV22736130-2702124
LASAug 6, 2026@MINMIN251258121-4850313
LASAug 5, 2026@CHICHI141136015-5610335
LASAug 2, 2026@PORPOR21739130-0520214
LASJuly 28, 2026NYLNYL191159130-0620133
LASJuly 22, 2026PHOPHO19529150-0430132
LASJuly 19, 2026@DALDAL211039232-2611305
LASJuly 17, 2026@CHICHI19926144-4600245
LASJuly 15, 2026@MINMIN151035133-4101021
LASJune 15, 2026@GSVGSV151045012-5200111
LASJune 13, 2026@PHOPHO22924243-3921202
LASJune 10, 2026@SEASEA181557243-3610215
LASJune 7, 2026PORPOR10203002-2001124
LASJune 5, 2026DALDAL151037143-4500134
LASJune 2, 2026LVALVA259310142-2830213
LASMay 30, 2026@CONCON18214010-0431154
LASMay 29, 2026@WASWAS171657234-4211124
LASMay 23, 2026@LVALVA2416711250-1801166
LASMay 21, 2026@PHOPHO191236125-6511364
LASMay 17, 2026TORTOR18734011-2220216
LASMay 15, 2026TORTOR161036014-6311113
LASMay 13, 2026INDIND191146023-4511333
LASMay 10, 2026LVALVA8000000-0300033
By seasonPer game3 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026LAS3119.29.551.546.4%31.5%23.4%-1.8
2025LA1912.95.14.30.542.7%29.4%19.7%—
2024LA1522.17.55.31.739.8%32.3%—-1.8

About WNBA Research

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Every number the site holds for a WNBA team and the players who played for it, in one place. Pick a team, a season and a set of games, 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.