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Min. 31 GP (70% of team's games), 15 MPG Relax qualifiers

Opponent eFG% diff

Difference in opponent effective field goal % with the player on court vs off Learn more

Min. 31 GP (70% of team's games), 15 MPG

#		GP	On min	Off min	On Opp eFG%	Off Opp eFG%	Opp eFG% Diff
1	Monique Akoa Makani PHX	41	867	864	46.2%	50.9%	-4.7%
2	Stefanie Dolson WAS	43	647	1094	47.8%	52.1%	-4.3%
3	Aneesah Morrow CON	41	741	960	51.2%	54.5%	-3.3%
4	Sug Sutton WAS	43	1105	635	49.4%	52.4%	-2.9%
5	Leonie Fiebich NYL	37	1036	423	47.1%	50.0%	-2.9%
6	Elizabeth Williams CHI	43	885	845	50.8%	53.6%	-2.8%
7	Michaela Onyenwere CHI	42	692	1038	50.5%	53.2%	-2.6%
8	Carla Leite GSV	37	620	1108	45.6%	48.1%	-2.4%
9	Napheesa Collier MIN	33	1060	653	47.2%	49.5%	-2.4%
10	Gabby Williams SEA	44	1385	344	49.2%	51.5%	-2.3%
11	Paige Bueckers DAL	36	1186	542	52.4%	54.5%	-2.1%
12	Sonia Citron WAS	44	1410	331	50.1%	52.1%	-2.0%
13	Natasha Mack PHX	34	610	1120	47.4%	49.3%	-1.9%
14	Jackie Young LVA	44	1338	378	48.4%	50.2%	-1.8%
15	Natasha Howard IND	44	1048	672	49.7%	51.3%	-1.6%
16	Naz Hillmon ATL	44	1119	634	47.3%	48.7%	-1.5%
17	Li Yueru SEA/DAL	31	508	1137	52.1%	53.5%	-1.4%
18	Lexie Hull IND	44	1174	547	49.9%	51.2%	-1.3%
19	Sabrina Ionescu NYL	38	1186	552	47.9%	49.1%	-1.2%
20	DeWanna Bonner IND/PHX	33	780	747	47.9%	49.1%	-1.2%
21	Kathryn Westbeld PHX	43	770	961	47.9%	49.1%	-1.2%
22	Rachel Banham CHI	44	1052	678	51.7%	52.8%	-1.1%
23	Skylar Diggins SEA	43	1338	392	49.4%	50.4%	-1.0%
24	Aliyah Boston IND	44	1314	406	50.1%	51.0%	-0.9%
25	Jonquel Jones NYL	31	824	914	47.8%	48.6%	-0.8%
26	Satou Sabally PHX	39	1030	700	48.2%	49.0%	-0.8%
27	Julie Allemand LAS	34	962	562	52.1%	52.9%	-0.8%
28	Maya Caldwell ATL	41	757	996	47.4%	48.1%	-0.7%
29	Myisha Hines-Allen DAL	40	873	855	52.8%	53.4%	-0.6%
30	Ezi Magbegor SEA	44	1192	537	49.5%	50.1%	-0.6%
31	Kennedy Burke NYL	36	764	974	48.0%	48.5%	-0.5%
32	Erica Wheeler SEA	44	1112	617	49.5%	50.0%	-0.4%
33	Olivia Nelson-Ododa CON	37	773	928	52.7%	53.2%	-0.4%
34	Breanna Stewart NYL	31	946	793	48.1%	48.5%	-0.4%
35	Natisha Hiedeman MIN	44	790	923	48.0%	48.2%	-0.2%
36	Ariel Atkins CHI	34	961	770	52.0%	52.2%	-0.2%
37	Dana Evans LVA	44	738	978	48.7%	48.9%	-0.2%
38	Jessica Shepard MIN	40	816	739	48.0%	48.2%	-0.2%
39	Kaila Charles DAL/GSV	35	605	819	47.1%	47.2%	-0.2%
40	Courtney Williams MIN	44	1253	459	48.1%	48.2%	-0.1%
41	Rebecca Allen CHI	44	816	914	52.1%	52.2%	-0.1%
42	A'ja Wilson LVA	40	1247	469	48.8%	48.9%	-0.1%
43	Rhyne Howard ATL	33	1146	606	47.8%	47.8%	-0.1%
44	JJ Quinerly DAL	34	528	1200	53.2%	53.1%	+0.1%
45	Brittney Sykes WAS/SEA	39	1189	512	49.7%	49.6%	+0.1%
46	Jewell Loyd LVA	44	1236	479	48.9%	48.7%	+0.2%
47	Jade Melbourne WAS	43	996	744	50.6%	50.3%	+0.3%
48	Marine Johannes NYL	44	802	937	48.5%	48.1%	+0.4%
49	Brionna Jones ATL	44	1157	596	47.9%	47.5%	+0.4%
50	Nneka Ogwumike SEA	44	1356	373	49.8%	49.3%	+0.4%

Top opponent eFG% diff leaders

The current 2025 Season WNBA leaders in opponent eFG% diff are Monique Akoa Makani (-4.7%, PHX), Stefanie Dolson (-4.3%, WAS), Aneesah Morrow (-3.3%, CON), Sug Sutton (-2.9%, WAS), and Leonie Fiebich (-2.9%, NYL).

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Opponent eFG% diff

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