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Min. 4 GP (10% of team's games), 10 MPG Relax qualifiers

Opponent eFG% diff

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

Min. 4 GP (10% of team's games), 10 MPG

#		GP	On min	Off min	On Opp eFG%	Off Opp eFG%	Opp eFG% Diff
1	Sami Whitcomb SEA	40	974	606	47.7%	54.4%	-6.7%
2	Shakira Austin WAS	19	439	1151	45.2%	51.2%	-6.0%
3	Kristy Wallace IND	37	726	872	47.9%	53.4%	-5.5%
4	Elena Delle Donne WAS	23	631	959	46.6%	51.6%	-5.1%
5	Elizabeth Williams CHI	40	1180	397	48.7%	53.7%	-5.1%
6	Teaira McCowan DAL	30	779	615	47.9%	52.8%	-4.8%
7	Shey Peddy PHX	18	282	1280	46.7%	51.4%	-4.7%
8	DiJonai Carrington CON	32	531	1054	46.0%	49.9%	-4.0%
9	Candace Parker LVA	18	422	1116	45.3%	48.9%	-3.6%
10	Ezi Magbegor SEA	40	1301	279	49.6%	53.2%	-3.6%
11	Kayla Thornton NYL	40	673	909	45.5%	49.1%	-3.6%
12	Emma Cannon IND	30	305	1293	48.0%	51.6%	-3.6%
13	Grace Berger IND	36	513	1085	48.6%	52.0%	-3.4%
14	Arike Ogunbowale DAL	40	1485	108	50.1%	53.5%	-3.4%
15	Diamond Miller MIN	32	820	769	49.5%	52.5%	-3.0%
16	Gabby Williams SEA	10	285	660	47.8%	50.8%	-3.0%
17	Nneka Ogwumike LAS	36	1121	464	50.4%	53.3%	-2.8%
18	Diana Taurasi PHX	26	703	860	49.1%	51.8%	-2.7%
19	Natasha Cloud WAS	37	1199	391	49.0%	51.5%	-2.4%
20	Jordan Horston SEA	36	792	789	49.1%	51.4%	-2.3%
21	Natasha Howard DAL	39	1280	312	50.0%	52.2%	-2.3%
22	Li Meng WAS	34	533	857	48.2%	50.4%	-2.1%
23	Kiah Stokes LVA	40	754	785	46.9%	49.0%	-2.0%
24	Nia Coffey ATL	31	672	901	47.1%	49.1%	-2.0%
25	Crystal Dangerfield DAL	35	965	627	49.6%	51.6%	-2.0%
26	Dulcy Fankam Mendjiadeu SEA	34	447	1133	48.9%	50.8%	-2.0%
27	Olivia Nelson-Ododa CON	39	559	1027	47.4%	49.3%	-1.9%
28	Alysha Clark LVA	39	837	701	47.1%	49.1%	-1.9%
29	Stefanie Dolson NYL	23	264	1318	46.0%	48.0%	-1.9%
30	Ariel Atkins WAS	27	673	917	48.5%	50.4%	-1.9%
31	Tiffany Mitchell MIN	33	757	832	50.0%	51.8%	-1.8%
32	Brionna Jones CON	13	411	1174	47.3%	49.1%	-1.8%
33	Robyn Parks CHI	37	473	1104	48.7%	50.4%	-1.7%
34	Dearica Hamby LAS	40	979	606	50.6%	52.4%	-1.7%
35	Kayla McBride MIN	38	1207	383	50.5%	52.2%	-1.6%
36	Dana Evans CHI	39	812	765	49.1%	50.7%	-1.6%
37	Asia (AD) Durr ATL	36	360	1213	47.1%	48.6%	-1.5%
38	Courtney Vandersloot NYL	39	1174	407	47.3%	48.6%	-1.4%
39	Jordin Canada LAS	38	1235	350	51.0%	52.3%	-1.4%
40	Jasmine Thomas LAS	32	404	1181	50.3%	51.6%	-1.3%
41	Napheesa Collier MIN	37	1235	354	50.6%	51.8%	-1.2%
42	Naz Hillmon ATL	40	522	1051	47.5%	48.6%	-1.2%
43	NaLyssa Smith IND	31	881	717	50.4%	51.5%	-1.1%
44	Brittney Griner PHX	31	851	711	50.1%	51.2%	-1.1%
45	Aari McDonald ATL	24	548	1025	47.5%	48.6%	-1.0%
46	Kaila Charles SEA	4	41	155	49.3%	50.3%	-1.0%
47	Alyssa Thomas CON	40	1443	142	48.5%	49.5%	-1.0%
48	Lexie Brown LAS	12	362	1222	50.7%	51.5%	-0.8%
49	Chelsea Gray LVA	40	1273	265	47.8%	48.6%	-0.8%
50	Nia Clouden LAS	5	44	1541	50.5%	51.3%	-0.8%

Top opponent eFG% diff leaders

The current 2023 Season WNBA leaders in opponent eFG% diff are Sami Whitcomb (-6.7%, SEA), Shakira Austin (-6.0%, WAS), Kristy Wallace (-5.5%, IND), Elena Delle Donne (-5.1%, WAS), and Elizabeth Williams (-5.1%, CHI).

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Opponent eFG% diff

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