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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.

PHO

Natasha Mack

Natasha Mack ranks 4th of 134 players in offensive rebound rate, at 14%.

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 Played34
Minutes18.442nd91/156
Games Started23
ScoringOffense▶
Points4.729th111/156
Points off Turnovers0.623rd121/156
Second Chance Points1.165th56/156
Fast Break Points0.214th134/156
Points in the Paint3.964th56/156
Usage Rate10.9%5th149/156
ShootingOffense▶
Three-Pointers Made04th144/156
Three-Pointers Attempted0.17th144/156
Three Point Percentage0%—
Field Goals Made2.139th96/156
Field Goals Attempted3.623rd120/156
Field Goal Percentage57.3%—
Free Throws Made0.521st122/156
Free Throws Attempted1.136th100/156
Free Throw Percentage47.2%—
Shot LocationsOffense▶
Restricted Area Makes1.159th65/156
Restricted Area Attempts1.654th73/156
Restricted Area Percentage70.9%—
Floater Range Makes0.871st46/156
Floater Range Attempts1.559th65/156
Floater Range Percentage56%—
Mid Range Makes0.132nd107/156
Mid Range Attempts0.439th95/156
Mid Range Percentage26.7%—
Above the Break Three Makes05th142/156
Above the Break Three Attempts0.16th147/156
PlaymakingOffense▶
Assists0.927th114/156
Turnovers0.492nd13/156
Assist Rate7.6%10th120/134
Turnover Rate9.7%95th8/134
Box Creation0.54th128/134
Rebounding▶
Rebounds5.886th23/156
Rebound Rate18%93rd10/134
ReboundingOffense▶
Offensive Rebounds2.395th8/156
Offensive Rebound Rate14%98th4/134
ReboundingDefense▶
Defensive Rebounds3.577th36/156
Defensive Rebound Rate22.2%85th21/134
DefenseDefense▶
Steals0.967th52/156
Blocks1.598th4/156
Personal Fouls1.658th66/156
Steal Rate2.4%82nd22/134
Block Rate7.9%100th1/134
Impact▶
Plus Minus3.983rd27/156
Box Plus Minus3.286th20/134
Value over Replacement1.077th32/134
Player Efficiency Rating19.583rd23/134
Win Shares3.175th34/134
Estimated Wins2.777th32/134
Possessions Played1,230
ImpactOffense▶
Offensive Box Plus Minus0.774th36/134
Offensive Rating122.099th2/133
ImpactDefense▶
Defensive Box Plus Minus2.597th5/134
Defensive Rating95.499th2/134
34 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
PHXSep 11, 2025@DALDAL16315001-2310010
PHXSep 9, 2025LALA15001000-0111003
PHXSep 6, 2025@CONCON22736001-2910110
PHXSep 4, 2025@WSHWSH22846000-0820301
PHXSep 2, 2025INDIND23425000-01001101
PHXAug 30, 2025NYNY29845000-21011412
PHXAug 28, 2025CHICHI281059010-11232501
PHXAug 26, 2025@LALA15424000-0302101
PHXAug 22, 2025GSGS13311001-2400201
PHXAug 21, 2025@LVLV19313001-21000101
PHXAug 19, 2025@GSGS181477000-0700101
PHXAug 17, 2025@SEASEA18212000-2300110
PHXAug 15, 2025LVLV22425000-0620122
PHXAug 10, 2025ATLATL22215000-0600302
PHXAug 7, 2025INDIND23422000-0200003
PHXAug 5, 2025CONCON8000000-0430100
PHXAug 3, 2025@CHICHI21945001-2601304
PHXAug 1, 2025@ATLATL14212000-0230400
PHXJuly 30, 2025@INDIND12424000-0311003
PHXJuly 27, 2025@WSHWSH161056000-0602212
PHXJuly 25, 2025@NYNY18944001-2201202
PHXJuly 23, 2025ATLATL19823004-4731202
PHXJuly 16, 2025@MINMIN23633000-21303000
PHXJuly 14, 2025@GSGS28414012-3913214
PHXJuly 9, 2025MINMIN16733001-1600001
PHXJuly 7, 2025DALDAL24425000-21041213
PHXJuly 3, 2025@DALDAL9000000-0201100
PHXJune 29, 2025LVLV12311001-2501102
PHXJune 27, 2025NYNY19214020-0601002
PHXJune 21, 2025@CHICHI14412002-4511030
PHXJune 19, 2025@NYNY20001000-0621314
PHXJune 18, 2025@CONCON18637000-0201204
PHXJune 15, 2025@LVLV15312001-1702111
PHXJune 11, 2025DALDAL13212000-0212212
By seasonPer Game3 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026PHO3622.78.96.71.160.3%22.2%15.1%1.9
2025PHX3418.44.75.80.957.3%0%10.9%3.2
2024PHX4015.53.851.157.3%0%—2.0

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.