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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.

IND

Caitlin Clark

Caitlin Clark ranks 1st of 139 players in assists, at 8.4 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 7 shown▶
Playing Time▶
Games Played40
Minutes35.499th2/139
Games Started40
ScoringOffense▶
Points19.296th7/139
ShootingOffense▶
Three-Pointers Made3100th1/139
Three-Pointers Attempted8.9100th1/139
Three Point Percentage34.4%51st26/52
Field Goals Made689th16/139
Field Goals Attempted14.592nd12/139
Field Goal Percentage41.7%41st49/82
Free Throws Made4.196th6/139
Free Throws Attempted4.592nd12/139
Free Throw Percentage90.6%96th3/52
PlaymakingOffense▶
Assists8.4100th1/139
Turnovers5.60th139/139
Assist Rate39.1%99th2/117
Turnover Rate25.3%4th112/117
Box Creation8.8100th1/117
Rebounding▶
Rebounds5.785th22/139
Rebound Rate9.4%59th49/117
ReboundingOffense▶
Offensive Rebounds0.321st109/139
Offensive Rebound Rate1.2%6th109/117
ReboundingDefense▶
Defensive Rebounds5.390th14/139
Defensive Rebound Rate17.3%66th40/117
DefenseDefense▶
Steals1.388th17/139
Blocks0.782nd25/139
Personal Fouls2.812th122/139
Steal Rate1.9%56th47/117
Block Rate1.7%63rd41/117
Impact▶
Plus Minus-1.643rd79/139
Box Plus Minus1.676th29/117
Value over Replacement1.688th15/117
Player Efficiency Rating18.984th19/117
Win Shares3.279th25/117
Estimated Wins4.288th15/117
Possessions Played2,851
ImpactOffense▶
Offensive Box Plus Minus3.092nd10/117
Offensive Rating102.654th53/116
ImpactDefense▶
Defensive Box Plus Minus-1.417th97/117
Defensive Rating107.927th86/117
40 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
INDSep 19, 2024@WSHWSH20825232-2581030
INDSep 15, 2024DALDAL363510226149-9283051
INDSep 13, 2024LVLV3418718282-4891064
INDSep 11, 2024LVLV38166221103-3360053
INDSep 8, 2024ATLATL45267174138-85120093
INDSep 6, 2024MINMIN36258215104-4880172
INDSep 4, 2024LALA40248174104-410103071
INDSep 1, 2024@DALDAL372810195113-44121073
INDAug 30, 2024@CHICHI32318145910-114121033
INDAug 28, 2024CONCON38197173122-2551172
INDAug 26, 2024@ATLATL3719614493-3772124
INDAug 24, 2024@MINMIN3823818384-4581074
INDAug 18, 2024SEASEA36239193102-2591253
INDAug 16, 2024PHXPHX36298164119-105100052
INDJuly 17, 2024@DALDAL40241019292-36190061
INDJuly 14, 2024@MINMIN37175172115-5362063
INDJuly 12, 2024PHXPHX3820816272-26131262
INDJuly 10, 2024WSHWSH38297145910-115135355
INDJuly 6, 2024NYNY38197173122-212132043
INDJuly 2, 2024@LVLV3813412174-46111065
INDJune 30, 2024@PHXPHX39154142105-69120063
INDJune 27, 2024@SEASEA381549374-5670161
INDJune 23, 2024@CHICHI4017511592-36134054
INDJune 21, 2024@ATLATL3516612480-1470174
INDJune 19, 2024WSHWSH3718612264-41264062
INDJune 16, 2024CHICHI3723711376-6890253
INDJune 13, 2024ATLATL357311160-0460271
INDJune 10, 2024@CONCON221038252-2021034
INDJune 7, 2024@WSHWSH39308157137-8864083
INDJune 2, 2024@NYNY293110170-0252132
INDJune 1, 2024CHICHI3711411291-1861052
INDMay 30, 2024SEASEA4020617385-5390172
INDMay 28, 2024LALA343071631013-15563375
INDMay 25, 2024@LVLV29828252-2571062
INDMay 24, 2024@LALA3711414291-21084122
INDMay 22, 2024@SEASEA3321616287-9770230
INDMay 20, 2024CONCON2717511374-4350255
INDMay 18, 2024@NYNY34229174100-0681083
INDMay 16, 2024NYNY30928174-4760135
INDMay 14, 2024@CONCON32205154116-60320104
By seasonPer Game3 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026IND4031.122.348.344.5%36.1%31.3%3.8
2025IND1331.116.558.836.7%27.9%28.7%1.4
2024IND4035.419.25.78.441.7%34.4%—1.6

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.