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

Team eFG% diff

Difference in the team's 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 eFG%	Off eFG%	eFG% Diff
1	Shakira Austin WAS	36	768	674	53.8%	44.9%	+8.9%
2	Kelsey Plum LVA	35	1143	211	54.2%	46.0%	+8.2%
3	A'ja Wilson LVA	35	1048	307	54.8%	46.8%	+8.0%
4	Sabrina Ionescu NYL	36	1157	264	51.9%	44.1%	+7.8%
5	Allisha Gray DAL	33	1087	340	50.9%	43.7%	+7.3%
6	Breanna Stewart SEA	34	1051	371	52.7%	45.9%	+6.8%
7	Nneka Ogwumike LAS	34	1063	351	50.3%	43.8%	+6.5%
8	Natasha Howard NYL	35	1039	382	52.2%	45.7%	+6.5%
9	Ariel Atkins WAS	36	1077	365	51.2%	44.9%	+6.3%
10	Liz Cambage LAS	25	575	493	52.3%	46.3%	+6.0%
11	Teaira McCowan DAL	33	628	799	52.5%	46.6%	+5.9%
12	Evina Westbrook MIN/WAS	19	176	972	54.0%	49.0%	+5.0%
13	Jackie Young LVA	33	1088	267	53.8%	49.1%	+4.7%
14	Kelsey Mitchell IND	31	1009	420	47.0%	42.7%	+4.3%
15	Sue Bird SEA	31	816	606	52.7%	48.5%	+4.2%
16	Skylar Diggins PHX	30	1018	406	50.8%	46.6%	+4.2%
17	Gabby Williams SEA	36	906	516	52.4%	48.2%	+4.1%
18	Elena Delle Donne WAS	25	693	749	51.7%	47.7%	+4.0%
19	Emma Meesseman CHI	36	1028	403	54.6%	50.6%	+4.0%
20	Anneli Maley CHI	4	41	160	57.2%	53.3%	+3.9%
21	Chelsea Gray LVA	34	1000	355	53.9%	50.0%	+3.9%
22	Marine Johannes NYL	24	609	336	52.5%	48.7%	+3.7%
23	Emma Cannon PHX/IND	24	323	664	48.7%	45.0%	+3.7%
24	Kayla McBride MIN	30	899	316	51.4%	47.8%	+3.6%
25	Jewell Loyd SEA	36	1088	334	51.7%	48.2%	+3.6%
26	Nikolina Milic MIN	30	322	894	52.6%	49.3%	+3.4%
27	Shey Peddy PHX	34	966	457	50.5%	47.4%	+3.1%
28	Maya Caldwell ATL	9	212	148	50.1%	47.1%	+3.1%
29	Katie Lou Samuelson LAS	32	928	320	49.6%	46.7%	+2.9%
30	Chennedy Carter LAS	24	376	1037	50.7%	47.9%	+2.8%
31	Dearica Hamby LVA	33	869	486	53.8%	51.1%	+2.8%
32	Alysha Clark WAS	29	762	680	50.8%	48.3%	+2.4%
33	Lexie Brown LAS	34	832	581	49.6%	47.3%	+2.4%
34	Danielle Robinson IND	31	725	624	46.9%	44.6%	+2.4%
35	Damiris Dantas MIN	15	260	1112	51.9%	49.7%	+2.2%
36	Natisha Hiedeman CON	36	893	509	51.6%	49.5%	+2.1%
37	Tyasha Harris DAL	35	545	881	50.4%	48.4%	+2.0%
38	Stefanie Dolson NYL	36	817	604	51.3%	49.3%	+2.0%
39	Tina Charles PHX/SEA	34	979	441	51.6%	49.6%	+2.0%
40	Kahleah Copper CHI	31	891	379	54.2%	52.3%	+1.9%
41	Natasha Cloud WAS	34	1065	377	50.1%	48.3%	+1.8%
42	DeWanna Bonner CON	33	990	372	51.4%	49.6%	+1.8%
43	Jonquel Jones CON	33	859	543	51.5%	49.8%	+1.7%
44	Bridget Carleton MIN	35	561	810	51.1%	49.4%	+1.7%
45	Marina Mabrey DAL	34	939	488	49.7%	48.1%	+1.7%
46	Queen Egbo IND	33	714	714	46.6%	45.0%	+1.5%
47	Courtney Williams CON	34	950	413	51.3%	49.9%	+1.3%
48	Rachel Banham MIN	35	590	781	50.9%	49.5%	+1.3%
49	Brionna Jones CON	36	879	524	51.2%	50.2%	+1.1%
50	Naz Hillmon ATL	34	641	770	48.1%	47.0%	+1.0%

Top team eFG% diff leaders

The current 2022 Season WNBA leaders in team eFG% diff are Shakira Austin (+8.9%, WAS), Kelsey Plum (+8.2%, LVA), A'ja Wilson (+8.0%, LVA), Sabrina Ionescu (+7.8%, NYL), and Allisha Gray (+7.3%, DAL).

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Team eFG% diff

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Methodology