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Natasha Cloud

Chicago Sky · 39 games

Natasha Cloud

11.4 PPG
3.4 RPG
4.9 APG
28.6 MPG
1.1 STL
0.3 BLK
2.2 TOV
49 FG%
35.7 3P%
85.5 FT%

Next-game projection

12.4pts
3.6reb
5.6ast

Recency-weighted, adjusted for the next opponent's pace and defense. A model estimate, not a guarantee.

Shot chart

Loading shots…

Field-goal attempts this season, both baskets folded to one half court. Descriptive, not a projection.

Isolated rankings

70th Net Impact
52nd Off Impact
82nd Def Impact
52nd Points / 100

Impact (RAPM)

Net Impact 1.3 70
Off Impact 0.1 52
Def Impact 1.2 82

Scoring

Points / 100 18.7 52
Usage Rate 17.1% 41

Efficiency

True Shooting 62.3% 90
Effective FG 56.4% 80

Playmaking

Assists / 100 8.1 89
Assist / TO 2.22 84

Rebounding

Rebounds / 100 5.7 35

Defense

Steals / 100 1.8 57
Blocks / 100 0.6 42

Discipline

Turnovers / 100 3.6 27

Impact trend · RAPM by season

+3.2+0.0-0.5'22'23'24'25'26+1.3
Net +1.3Off +0.1Def +1.2

Percentile rank vs. all 221 qualified WNBA players this season, pace-adjusted. Impact (RAPM) measures on-court scoring margin per 100 possessions, teammate- and opponent-adjusted over recent seasons; each trend point is a trailing multi-season blend, so it reads as a trajectory rather than noisy single-season on/off. Descriptive stats, not a projection.

Game log

DateOppMINPTSREBASTSTLBLKFG3P
Aug 29@ NY211401106-81-1
Aug 25@ CONN16304111-30-1
Aug 23vs IND301647107-90-0
Aug 21vs GS361774015-105-5
Aug 18vs NY3535960013-214-8
Aug 16@ SEA342083315-121-5
Aug 12@ GS31949103-80-2
Aug 10@ SEA32728203-50-1
Aug 8vs IND271724106-91-4
Aug 5vs LA321559216-102-5
Aug 3vs PHX311357104-81-5
Aug 1vs LV301114104-72-3
Jul 30vs CONN311105204-80-1
Jul 22@ NY32937004-81-4
Jul 19@ ATL32724103-71-4
Jul 17vs LA321569005-103-6
Jul 15vs SEA301326413-52-3
Jul 12@ DAL321523005-80-2
Jul 10@ LA27927202-111-5
Jul 7@ PHX321146203-83-7
Jul 3@ LV341535204-82-4
Jun 28vs LV23624002-41-2
Jun 26vs POR18214121-30-2
Jun 24vs POR21944003-31-1
Jun 22@ CONN21410001-60-4
Jun 20@ DAL251066103-102-6
Jun 17vs NY281134203-71-2
Jun 11@ IND34645003-70-1
Jun 9vs ATL301864224-71-3
Jun 7@ TOR27643012-71-3
Jun 5vs CONN261305204-62-2
Jun 2@ WSH24003000-40-1
May 29vs MIN31642211-71-5
May 27vs TOR311859107-82-3
May 23vs MIN32621112-60-2
May 20vs DAL352185116-121-5
May 17@ MIN321167005-91-3
May 15@ PHX23737203-80-2
May 13@ GS18740003-71-3

Model output · updated September 2, 2026