Research

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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.

CHI

Season

Games

Ranked vs

Side

Scale

Stats

Teammate

Natasha Cloud

G2026 · Regular Season

Worth knowingNatasha Cloud sits 21st of 188 players in mid range makes, at 0.7 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 Played40

Minutes28.379th41/188

Games Started27

ScoringOffense▶

Points11.171st55/188

Points off Turnovers2.274th49/188

Second Chance Points0.636th120/188

Fast Break Points164th68/188

Points in the Paint464th68/188

Usage Rate16.8%44th105/188

ShootingOffense▶

Three-Pointers Made1.170th58/188

Three-Pointers Attempted3.168th60/188

Three Point Percentage35.7%55th42/93

Field Goals Made3.867th62/188

Field Goals Attempted7.764th68/188

Field Goal Percentage49.0%71st36/122

Free Throws Made2.579th41/188

Free Throws Attempted2.974th49/188

Free Throw Percentage85.5%71st22/73

Shot LocationsOffense▶

Restricted Area Makes1.569th58/188

Restricted Area Attempts261st73/188

Restricted Area Percentage74.1%—

Floater Range Makes0.553rd88/188

Floater Range Attempts1.253rd88/188

Floater Range Percentage40.4%—

Mid Range Makes0.789th21/188

Mid Range Attempts1.384th31/188

Mid Range Percentage50.0%—

Above the Break Three Makes1.177th44/188

Above the Break Three Attempts375th48/188

PlaymakingOffense▶

Assists4.891st17/188

Turnovers2.114th161/188

Assist Rate26.9%88th20/158

Turnover Rate19.4%14th136/158

Box Creation4.285th25/158

Rebounding▶

Rebounds3.466th65/188

Rebound Rate6.9%32nd106/158

ReboundingOffense▶

Offensive Rebounds0.317th156/188

Offensive Rebound Rate1.1%5th149/158

ReboundingDefense▶

Defensive Rebounds3.175th48/188

Defensive Rebound Rate12.8%47th83/158

DefenseDefense▶

Steals1.181st36/188

Blocks0.358th79/188

Personal Fouls2.911th168/188

Steal Rate1.8%53rd68/158

Block Rate1.0%37th98/158

Impact▶

Plus Minus-2.827th137/188

Box Plus Minus0.162nd60/158

Value over Replacement0.773rd44/158

Player Efficiency Rating14.756th70/158

Win Shares2.976th38/158

Estimated Wins1.973rd44/158

Possessions Played2,337

ImpactOffense▶

Offensive Box Plus Minus-0.256th70/158

Offensive Rating112.671st46/158

ImpactDefense▶

Defensive Box Plus Minus0.363rd59/158

Defensive Rating110.540th95/158

Game log40 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TO	PF
Sep 17, 2026	WAS	14	2	1	2	0	0	0-0	1	2	0	0	0	0
Aug 29, 2026	@NYL	21	14	6	8	1	1	1-2	0	1	1	0	0	2
Aug 25, 2026	@CON	16	3	1	3	0	1	1-2	0	4	1	1	0	1
Aug 23, 2026	IND	30	16	7	9	0	0	2-2	4	7	1	0	4	4
Aug 21, 2026	GSV	36	17	5	10	5	5	2-2	7	4	0	1	4	2
Aug 18, 2026	NYL	35	35	13	21	4	8	5-6	9	6	0	0	3	3
Aug 16, 2026	@SEA	34	20	5	12	1	5	9-9	8	3	3	1	4	2
Aug 12, 2026	@GSV	31	9	3	8	0	2	3-3	4	9	1	0	2	2
Aug 10, 2026	@SEA	32	7	3	5	0	1	1-2	2	8	2	0	3	4
Aug 8, 2026	IND	27	17	6	9	1	4	4-4	2	4	1	0	2	4
Aug 5, 2026	LAS	32	15	6	10	2	5	1-1	5	9	2	1	1	0
Aug 3, 2026	PHO	31	13	4	8	1	5	4-4	5	7	1	0	1	2
Aug 1, 2026	LVA	30	11	4	7	2	3	1-1	1	4	1	0	2	5
July 30, 2026	CON	31	11	4	8	0	1	3-3	0	5	2	0	2	0
July 22, 2026	@NYL	32	9	4	8	1	4	0-0	3	7	0	0	2	3
July 19, 2026	@ATL	32	7	3	7	1	4	0-0	2	4	1	0	2	4
July 17, 2026	LAS	32	15	5	10	3	6	2-2	6	9	0	0	0	2
July 15, 2026	SEA	30	13	3	5	2	3	5-6	2	6	4	1	4	1
July 12, 2026	@DAL	32	15	5	8	0	2	5-5	2	3	0	0	2	3
July 10, 2026	@LAS	27	9	2	11	1	5	4-6	2	7	2	0	1	5
July 7, 2026	@PHO	32	11	3	8	3	7	2-2	4	6	2	0	1	4
July 3, 2026	@LVA	34	15	4	8	2	4	5-6	3	5	2	0	2	4
June 28, 2026	LVA	23	6	2	4	1	2	1-2	2	4	0	0	2	5
June 26, 2026	POR	18	2	1	3	0	2	0-0	1	4	1	2	2	3
June 24, 2026	POR	21	9	3	3	1	1	2-2	4	4	0	0	2	1
June 22, 2026	@CON	21	4	1	6	0	4	2-2	1	0	0	0	2	0
June 20, 2026	@DAL	25	10	3	10	2	6	2-2	6	6	1	0	1	1
June 17, 2026	NYL	28	11	3	7	1	2	4-4	3	4	2	0	0	3
June 11, 2026	@IND	34	6	3	7	0	1	0-0	4	5	0	0	5	6
June 9, 2026	ATL	30	18	4	7	1	3	9-10	6	4	2	2	0	3
June 7, 2026	@TOR	27	6	2	7	1	3	1-2	4	3	0	1	3	1
June 5, 2026	CON	26	13	4	6	2	2	3-3	0	5	2	0	3	3
June 2, 2026	@WAS	24	0	0	4	0	1	0-0	0	3	0	0	4	6
May 29, 2026	MIN	31	6	1	7	1	5	3-4	4	2	2	1	2	3
May 27, 2026	TOR	31	18	7	8	2	3	2-2	5	9	1	0	3	5
May 23, 2026	MIN	32	6	2	6	0	2	2-3	2	1	1	1	3	3
May 20, 2026	DAL	35	21	6	12	1	5	8-8	8	5	1	1	4	4
May 17, 2026	@MIN	32	11	5	9	1	3	0-2	6	7	0	0	4	4
May 15, 2026	@PHO	23	7	3	8	0	2	1-3	3	7	2	0	1	5
May 13, 2026	@GSV	18	7	3	7	1	3	0-0	4	0	0	0	3	4

By seasonPer game3 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	USG%	BPM
2026	40	28.3	11.1	3.4	4.8	49.0%	35.7%	16.8%	0.1
2025	41	29.1	10.1	3.7	5.1	43.3%	33.8%	17.2%	0.1
2024	38	33.4	11.5	4.1	6.9	39.7%	30.8%	—	-1.2

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.