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Caitlin Clark

Indiana Fever · 37 games

Caitlin Clark

22.3 PPG
3.9 RPG
8.3 APG
31 MPG
1 STL
0.5 BLK
4.6 TOV
45.3 FG%
37.1 3P%
83.3 FT%

Next-game projection

25.8pts
3.7reb
8.8ast

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

79th Net Impact
98th Off Impact
7th Def Impact
97th Points / 100

Impact (RAPM)

Net Impact 2.0 79
Off Impact 3.4 98
Def Impact -1.4 7

Scoring

Points / 100 33.6 97
Usage Rate 31.9% 99

Efficiency

True Shooting 60.5% 81
Effective FG 54.8% 69

Playmaking

Assists / 100 12.5 99
Assist / TO 1.80 70

Rebounding

Rebounds / 100 5.8 39

Defense

Steals / 100 1.5 36
Blocks / 100 0.7 57

Discipline

Turnovers / 100 7.0 2

Impact trend · RAPM by season

+3.9+0.0-1.9'24'25'26+2.0
Net +2.0Off +3.4Def -1.4

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 28vs CONN34345123012-196-12
Aug 23@ CHI32373101013-248-12
Aug 22@ NY352147109-182-6
Aug 20@ DAL351049114-152-8
Aug 18@ TOR332437007-164-9
Aug 16@ ATL412639009-203-10
Aug 14vs DAL34293101011-182-8
Aug 11vs NY3522410107-154-8
Aug 8@ CHI3626411217-155-6
Aug 6vs LV382038107-202-10
Aug 2@ MIN3419110108-182-9
Jul 31@ POR34261010215-92-5
Jul 28@ SEA333247119-144-7
Jul 25@ COOP211745106-175-15
Jul 22vs CONN2727211118-135-9
Jul 18vs NY261727005-142-8
Jul 17vs SEA29452104211-186-10
Jul 15vs GS261336114-141-8
Jul 12@ LV241276005-111-5
Jul 8@ LA16943104-121-6
Jun 24vs PHX201908105-93-4
Jun 22vs PHX292439008-173-10
Jun 20@ ATL3426371011-183-7
Jun 18vs ATL312627008-172-5
Jun 16vs TOR3221514115-151-8
Jun 13@ CONN3625350110-175-10
Jun 11vs CHI4032710008-181-6
Jun 8@ WSH311935107-164-10
Jun 6@ NY341079014-142-6
Jun 4vs ATL311778016-172-8
May 30@ POR22626101-70-2
May 28@ GS291646313-122-6
May 22vs GS322229117-154-9
May 17vs SEA2421710025-102-4
May 15vs WSH37324102110-287-17
May 13@ LA312449219-171-7
May 9vs DAL312057007-182-9

Model output · updated September 2, 2026