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WNBA Research

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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.

ATL

Season

Games

Ranked vs

Side

Scale

Stats

Teammate

Sika Kone

F2026 · Regular Season

Stands outIn blocks, Sika Kone is 174th of 185 players, at 0 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.

Cardsall 8 shown▶

Playing Time▶

Games Played34

Minutes5.12nd181/185

Games Started1

ScoringOffense▶

Points1.94th178/185

Points off Turnovers0.411th164/185

Second Chance Points0.424th140/185

Fast Break Points0.217th154/185

Points in the Paint0.912th163/185

Usage Rate19.4%65th66/185

ShootingOffense▶

Three-Pointers Made0.215th157/185

Three-Pointers Attempted0.918th152/185

Three Point Percentage20.7%—

Field Goals Made0.64th178/185

Field Goals Attempted1.84th177/185

Field Goal Percentage34.4%—

Free Throws Made0.416th155/185

Free Throws Attempted0.616th155/185

Free Throw Percentage71.4%—

Shot LocationsOffense▶

Restricted Area Makes0.419th150/185

Restricted Area Attempts0.617th153/185

Restricted Area Percentage68.4%—

Floater Range Makes0.14th177/185

Floater Range Attempts0.23rd180/185

Floater Range Percentage28.6%—

Mid Range Makes07th161/185

Mid Range Attempts0.222nd144/185

Mid Range Percentage0.0%—

Above the Break Three Makes0.115th157/185

Above the Break Three Attempts0.617th154/185

PlaymakingOffense▶

Assists0.20th185/185

Turnovers0.397th6/185

Rebounding▶

Rebounds1.110th167/185

ReboundingOffense▶

Offensive Rebounds0.432nd127/185

ReboundingDefense▶

Defensive Rebounds0.67th172/185

DefenseDefense▶

Steals0.12nd182/185

Blocks03rd174/185

Personal Fouls189th19/185

Impact▶

Plus Minus-0.354th85/185

Game log34 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	TO	PF
Sep 23, 2026	@NYL	1	0	0	0	0	0	0-0	0	0	0	0	0
Sep 19, 2026	CHI	6	4	2	4	0	0	0-0	2	0	0	1	3
Sep 17, 2026	CON	7	5	2	3	1	1	0-0	2	1	0	0	1
Aug 30, 2026	MIN	1	0	0	1	0	0	0-0	0	0	0	0	0
Aug 28, 2026	POR	2	0	0	1	0	1	0-0	0	0	0	0	0
Aug 20, 2026	@LAS	7	6	2	2	1	1	1-2	1	0	0	0	4
Aug 13, 2026	@CON	6	0	0	1	0	1	0-0	1	0	0	0	2
Aug 10, 2026	TOR	1	0	0	0	0	0	0-0	0	0	0	0	0
Aug 5, 2026	PHO	1	0	0	0	0	0	0-0	0	0	0	0	0
Aug 3, 2026	LVA	3	0	0	0	0	0	0-0	1	0	0	0	0
July 17, 2026	@TOR	1	0	0	0	0	0	0-0	0	0	0	0	0
July 13, 2026	LAS	4	0	0	2	0	2	0-0	1	0	0	1	1
July 11, 2026	POR	17	11	3	8	1	4	4-4	5	0	0	0	5
July 9, 2026	SEA	11	0	0	3	0	3	0-0	0	0	0	1	3
July 4, 2026	GSV	6	4	1	2	1	1	1-2	0	0	1	0	0
July 2, 2026	@WAS	13	0	0	2	0	2	0-0	2	0	0	1	2
June 27, 2026	@SEA	14	6	2	5	0	2	2-2	2	2	0	0	1
June 24, 2026	@GSV	12	4	1	3	0	1	2-2	3	1	0	1	3
June 22, 2026	TOR	1	0	0	0	0	0	0-0	0	0	0	0	2
June 20, 2026	IND	2	0	0	2	0	1	0-0	0	1	0	0	0
June 18, 2026	@IND	5	3	1	1	0	0	1-4	1	0	0	1	0
June 14, 2026	@TOR	2	0	0	1	0	1	0-0	1	0	0	0	0
June 11, 2026	NYL	3	2	1	2	0	0	0-0	1	0	0	0	0
June 9, 2026	@CHI	1	0	0	0	0	0	0-0	0	0	0	0	0
June 6, 2026	WAS	12	9	3	6	1	3	2-3	6	2	1	1	3
June 4, 2026	@IND	1	2	0	0	0	0	2-2	1	0	0	0	0
June 2, 2026	CON	3	0	0	1	0	0	0-0	0	0	0	0	0
May 29, 2026	@POR	5	0	0	1	0	0	0-0	0	0	0	1	1
May 27, 2026	@MIN	9	5	2	4	1	3	0-0	3	0	0	0	1
May 24, 2026	PHO	6	0	0	1	0	0	0-0	0	0	0	0	0
May 22, 2026	DAL	4	2	1	2	0	0	0-0	1	0	0	0	0
May 17, 2026	LVA	3	0	0	2	0	1	0-0	0	0	0	0	1
May 12, 2026	@DAL	1	0	0	0	0	0	0-0	2	0	0	1	1
May 9, 2026	@MIN	3	0	0	1	0	1	0-0	0	0	0	0	0

By seasonPer game3 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	USG%	BPM
2026	34	5.1	1.9	1.1	0.2	34.4%	20.7%	19.4%	—
2025	19	4.6	1.4	1	0.3	31.8%	20.0%	16.0%	—
2024	25	8.7	4.3	2.2	0.5	42.9%	57.1%	—	—

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.