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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.

DAL

Kitija Laksa

In defensive rebound rate, Kitija Laksa is 132nd of 134 players, at 5.4%.

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 Played33
Minutes18.946th85/156
Games Started5
ScoringOffense▶
Points5.941st93/156
Points off Turnovers137th97/156
Second Chance Points0.310th141/156
Fast Break Points0.644th88/156
Points in the Paint0.89th142/156
Usage Rate14.3%23rd120/156
ShootingOffense▶
Three-Pointers Made1.268th51/156
Three-Pointers Attempted3.673rd42/156
Three Point Percentage31.7%26th54/73
Field Goals Made235th101/156
Field Goals Attempted5.542nd90/156
Field Goal Percentage36.7%9th97/107
Free Throws Made0.838th97/156
Free Throws Attempted134th103/156
Free Throw Percentage81.3%—
Shot LocationsOffense▶
Restricted Area Makes0.313th136/156
Restricted Area Attempts0.35th147/156
Restricted Area Percentage81.8%—
Floater Range Makes0.219th127/156
Floater Range Attempts0.514th134/156
Floater Range Percentage33.3%—
Mid Range Makes0.474th42/156
Mid Range Attempts169th49/156
Mid Range Percentage41.2%—
Above the Break Three Makes0.864th57/156
Above the Break Three Attempts372nd45/156
PlaymakingOffense▶
Assists0.619th126/156
Turnovers0.685th24/156
Assist Rate5.3%3rd130/134
Turnover Rate8.9%98th3/134
Box Creation0.54th128/134
Rebounding▶
Rebounds1.214th135/156
Rebound Rate3.7%3rd130/134
ReboundingOffense▶
Offensive Rebounds0.322nd121/156
Offensive Rebound Rate2%20th105/134
ReboundingDefense▶
Defensive Rebounds0.912th138/156
Defensive Rebound Rate5.4%2nd132/134
DefenseDefense▶
Steals0.419th127/156
Blocks0.234th104/156
Personal Fouls1.567th51/156
Steal Rate1%7th123/134
Block Rate0.9%32nd89/134
Impact▶
Plus Minus-2.825th117/156
Box Plus Minus-3.814th116/134
Value over Replacement-0.316th113/134
Player Efficiency Rating7.412th118/134
Win Shares0.627th98/134
Estimated Wins-0.916th113/134
Possessions Played1,232
ImpactOffense▶
Offensive Box Plus Minus-2.619th108/134
Offensive Rating98.732nd90/133
ImpactDefense▶
Defensive Box Plus Minus-1.220th108/134
Defensive Rating108.032nd92/134
33 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
PHXSep 11, 2025@DALDAL24835240-0110014
PHXSep 9, 2025LALA16302013-3110012
PHXAug 22, 2025GSGS2001010-0000100
PHXAug 21, 2025@LVLV7002020-0000000
PHXAug 17, 2025@SEASEA6000000-0200012
PHXAug 7, 2025INDIND3301003-3100000
PHXAug 3, 2025@CHICHI13413022-2101110
PHXAug 1, 2025@ATLATL14002020-0100000
PHXJuly 30, 2025@INDIND9001010-0000000
PHXJuly 27, 2025@WSHWSH111347243-3000000
PHXJuly 25, 2025@NYNY18003010-0201012
PHXJuly 23, 2025ATLATL12202012-2101011
PHXJuly 16, 2025@MINMIN30527140-1211105
PHXJuly 14, 2025@GSGS18005050-0200013
PHXJuly 9, 2025MINMIN19216040-0100001
PHXJuly 7, 2025DALDAL246210270-0000001
PHXJuly 3, 2025@DALDAL17216030-0000013
PHXJune 29, 2025LVLV20527130-0010001
PHXJune 27, 2025NYNY2713610150-0100004
PHXJune 21, 2025@CHICHI281138372-3131022
PHXJune 19, 2025@NYNY2813511360-0111001
PHXJune 18, 2025@CONCON2311410261-1200111
PHXJune 15, 2025@LVLV18428050-0320011
PHXJune 11, 2025DALDAL271458470-0110103
PHXJune 7, 2025SEASEA31936350-0110000
PHXJune 5, 2025GSGS26625240-2401011
PHXJune 3, 2025@MINMIN251049260-0001010
PHXJune 1, 2025@LALA291535237-7211013
PHXMay 30, 2025MINMIN22214020-0230111
PHXMay 27, 2025CHICHI241869363-5011001
PHXMay 25, 2025WSHWSH16835240-0000000
PHXMay 23, 2025@SEASEA15003010-0400001
PHXMay 21, 2025LALA23939380-0342034
By seasonPer Game2 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026DAL49.831.8025%16.7%22.5%—
2025PHX3318.95.91.20.636.7%31.7%14.3%-3.8

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.