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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.

NY

Ivana Dojkic

Ivana Dojkic sits 132nd of 139 players in rebounds, at 0.8 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 Played26
Minutes1014th120/139
Games Started0
ScoringOffense▶
Points3.321st110/139
ShootingOffense▶
Three-Pointers Made0.654th65/139
Three-Pointers Attempted1.646th75/139
Three Point Percentage38.1%—
Field Goals Made114th119/139
Field Goals Attempted2.818th114/139
Field Goal Percentage33.8%—
Free Throws Made0.841st82/139
Free Throws Attempted137th88/139
Free Throw Percentage77.8%—
PlaymakingOffense▶
Assists0.820th112/139
Turnovers0.587th19/139
Assist Rate11.5%33rd79/117
Turnover Rate14%59th48/117
Box Creation1.741st70/117
Rebounding▶
Rebounds0.85th132/139
Rebound Rate4.9%13th101/117
ReboundingOffense▶
Offensive Rebounds0.320th111/139
Offensive Rebound Rate4.1%55th53/117
ReboundingDefense▶
Defensive Rebounds0.54th133/139
Defensive Rebound Rate5.7%0th117/117
DefenseDefense▶
Steals0.318th114/139
Blocks09th127/139
Personal Fouls186th19/139
Steal Rate1.8%47th58/117
Block Rate0.3%8th107/117
Impact▶
Plus Minus0.463rd52/139
Box Plus Minus-2.622nd92/117
Value over Replacement-0.122nd91/117
Player Efficiency Rating9.418th96/117
Win Shares0.626th87/117
Estimated Wins-0.122nd91/117
Possessions Played509
ImpactOffense▶
Offensive Box Plus Minus-2.423rd90/117
Offensive Rating100.546th62/116
ImpactDefense▶
Defensive Box Plus Minus-0.339th72/117
Defensive Rating102.257th50/117
26 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
NYSep 17, 2024@WSHWSH3000000-0010000
NYSep 12, 2024@DALDAL6713114-4311000
NYSep 10, 2024@DALDAL7214010-0001001
NYAug 24, 2024CONCON5001010-0000000
NYAug 22, 2024DALDAL6001010-0000010
NYAug 20, 2024DALDAL14523120-0131011
NYAug 17, 2024@LVLV6002010-0100003
NYAug 15, 2024@LALA19735110-0132022
NYJuly 16, 2024CONCON21729162-2311011
NYJuly 13, 2024@CHICHI181245232-3201001
NYJuly 11, 2024CHICHI5001010-0000000
NYJune 23, 2024@ATLATL17614004-4010002
NYJune 22, 2024LALA25003020-0041021
NYJune 20, 2024LALA251237363-4220002
NYJune 18, 2024@PHXPHX7315120-0200011
NYJune 15, 2024@LVLV8414131-2110000
NYJune 9, 2024WSHWSH8312110-0000001
NYJune 8, 2024@CONCON2000000-0000000
NYJune 6, 2024@ATLATL5001010-0000000
NYJune 2, 2024INDIND4312110-0110002
NYMay 31, 2024WSHWSH8313011-2100012
NYMay 25, 2024@MINMIN2100001-2000000
NYMay 23, 2024CHICHI5312120-0100100
NYMay 18, 2024INDIND11312120-0000031
NYMay 16, 2024@INDIND14514122-2110014
NYMay 14, 2024@WSHWSH8101011-2211011

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.