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Angel Reese

Atlanta Dream · 54 games

Angel Reese

16.2 PPG
11.7 RPG
2.7 APG
31.2 MPG
1.7 STL
0.9 BLK
3 TOV
44.8 FG%
25.3 3P%
73.9 FT%

Next-game projection

17pts
10.8reb
2.7ast

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

Shot chart

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

Isolated rankings

96th Net Impact
77th Off Impact
99th Def Impact
76th Points / 100

Impact (RAPM)

Net Impact 4.5 96
Off Impact 1.4 77
Def Impact 3.0 99

Scoring

Points / 100 24.7 76
Usage Rate 24.9% 86

Efficiency

True Shooting 52.9% 34
Effective FG 46.2% 24

Playmaking

Assists / 100 4.2 55
Assist / TO 0.92 15

Rebounding

Rebounds / 100 17.9 100

Defense

Steals / 100 2.6 92
Blocks / 100 1.4 78

Discipline

Turnovers / 100 4.5 10

Impact trend · RAPM by season

+5.0+0.0-0.5'24'25'26+4.5
Net +4.5Off +1.4Def +3.0

Percentile rank vs. all 229 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
Oct 26@ GS337155002-80-0
Oct 24vs GS34893132-120-1
Oct 21vs GS3421123307-122-2
Oct 19@ GS34301631210-161-1
Oct 17@ GS3514120215-110-1
Oct 9@ NY372293127-182-4
Oct 7vs NY392372128-161-2
Oct 4vs NY341772436-101-1
Sep 30@ WSH281572034-80-4
Sep 27vs WSH3013121214-151-2
Sep 23@ NY17663302-70-1
Sep 21@ NY3418102017-140-3
Sep 19vs CHI2823104239-131-2
Sep 17vs CONN25301030211-141-1
Aug 30vs MIN3315112215-90-0
Aug 28vs POR3816166205-140-0
Aug 24@ LA3811263304-140-0
Aug 22@ PHX35311424014-210-4
Aug 20@ LA3020108309-92-2
Aug 18@ LV3921104406-131-1
Aug 16vs IND3815146005-160-2
Aug 13@ CONN288151343-130-2
Aug 10vs TOR2920142117-141-3
Aug 7@ WSH337162211-120-0
Aug 5vs PHX3214104017-140-2
Aug 3vs LV27231620110-190-2
Jul 31vs SEA3821132205-122-5
Jul 29@ DAL3422124419-180-2
Jul 25vs SPO9054000-10-0
Jul 19vs CHI20851113-130-1
Jul 17@ TOR3323122307-110-2
Jul 13vs LA3323132307-111-1
Jul 9vs SEA3018112207-150-0
Jul 4vs GS3517133206-130-1
Jul 2@ WSH3413133216-150-0
Jun 27@ SEA321790204-100-0
Jun 26@ GS2915120604-110-0
Jun 24@ GS2710124103-120-0
Jun 22vs TOR291192014-130-2
Jun 20vs IND311881217-140-1
Jun 18@ IND2921111008-140-0
Jun 14@ TOR2715171116-190-0
Jun 11vs NY3325932111-220-4
Jun 9@ CHI3517174205-121-2
Jun 6vs WSH2518170414-90-0
Jun 4@ IND3111103024-90-1
Jun 2vs CONN2912135104-91-2
May 29@ POR3218125016-140-3
May 27@ MIN271085103-80-2
May 24vs PHX3217104416-160-1
May 22vs DAL321592007-110-0
May 17vs LV29983011-80-1
May 12@ DAL3412162114-80-1
May 9@ MIN3211142234-110-0

Model output · updated October 27, 2026