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

Difference in the team's 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 eFG%	Off eFG%	eFG% Diff
51	Temi Fagbenle GSV	39	916	698	48.2%	48.1%	+0.1%
52	Kathryn Westbeld PHX	43	770	961	50.2%	50.2%	+0.0%
53	Rickea Jackson LAS	38	1173	589	52.1%	52.1%	+0.0%
54	Saniya Rivers CON	42	1063	639	45.8%	45.8%	+0.0%
55	Bria Hartley CON	38	848	853	45.7%	45.8%	-0.1%
56	Alysha Clark SEA/WAS	42	803	966	48.3%	48.4%	-0.1%
57	Kate Martin GSV	42	657	1071	48.0%	48.3%	-0.3%
58	Stefanie Dolson WAS	43	647	1094	48.1%	48.5%	-0.4%
59	Rebecca Allen CHI	44	816	914	47.3%	47.7%	-0.4%
60	Sabrina Ionescu NYL	38	1186	552	52.4%	53.0%	-0.5%
61	Kia Nurse CHI	44	962	769	47.2%	48.0%	-0.8%
62	Natisha Hiedeman MIN	44	790	923	53.7%	54.7%	-0.9%
63	Brittney Griner ATL	39	806	947	50.9%	51.8%	-0.9%
64	Rachel Banham CHI	44	1052	678	47.1%	48.3%	-1.2%
65	Courtney Williams MIN	44	1253	459	53.9%	55.1%	-1.2%
66	Shakira Austin WAS	38	870	870	47.7%	49.0%	-1.3%
67	Janelle Salaun GSV	36	970	488	47.6%	48.9%	-1.3%
68	Kennedy Burke NYL	36	764	974	51.8%	53.2%	-1.4%
69	Aziaha James DAL	38	643	1085	45.9%	47.5%	-1.6%
70	Brionna Jones ATL	44	1157	596	50.8%	52.6%	-1.8%
71	Ezi Magbegor SEA	44	1192	537	49.8%	51.9%	-2.2%
72	Aneesah Morrow CON	41	741	960	44.6%	46.8%	-2.2%
73	Jade Melbourne WAS	43	996	744	47.4%	49.6%	-2.2%
74	NaLyssa Smith DAL/LVA	45	933	875	49.5%	51.8%	-2.3%
75	Rhyne Howard ATL	33	1146	606	50.4%	53.4%	-3.0%
76	Jessica Shepard MIN	40	816	739	52.5%	55.7%	-3.2%
77	Kamilla Cardoso CHI	40	1094	476	46.3%	49.7%	-3.4%
78	DeWanna Bonner IND/PHX	33	780	747	48.1%	51.8%	-3.7%
79	Aaliyah Nye LVA	44	634	1082	48.2%	52.0%	-3.8%
80	Brittney Sykes WAS/SEA	39	1189	512	49.0%	53.1%	-4.2%
81	Dana Evans LVA	44	738	978	47.9%	52.6%	-4.7%
82	Kitija Laksa PHX	33	608	1123	47.1%	51.9%	-4.8%
83	DiJonai Carrington DAL/MIN	31	675	1061	48.9%	57.6%	-8.8%