Stat leaders

On/Off

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

Opponent DREB% diff

Difference in opponent defensive rebound rate 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 DREB%	Off Opp DREB%	Opp DREB% Diff
51	Jewell Loyd SEA	27	686	655	73.3%	73.7%	-0.4%
52	Theresa Plaisance DAL/CON	31	425	896	70.3%	70.7%	-0.4%
53	Sami Whitcomb SEA	33	667	674	73.4%	73.5%	-0.2%
54	Kaela Davis DAL	33	630	708	70.5%	70.7%	-0.1%
55	Azura Stevens DAL	9	141	767	70.5%	70.6%	-0.1%
56	Liz Cambage LVA	32	798	543	74.5%	74.5%	+0.0%
57	Damiris Dantas MIN	26	663	630	72.1%	72.0%	+0.1%
58	Leilani Mitchell PHX	32	792	228	80.2%	80.1%	+0.1%
59	Gabby Williams CHI	33	489	842	75.9%	75.6%	+0.3%
60	Lexie Brown MIN	33	589	744	72.2%	72.0%	+0.3%
61	Alexis Jones LAS	20	190	1017	75.6%	75.4%	+0.3%
62	Maite Cazorla ATL	31	464	885	74.5%	74.2%	+0.3%
63	Morgan Tuck CON	33	328	1012	70.8%	70.5%	+0.4%
64	Sancho Lyttle PHX	20	225	841	80.5%	80.1%	+0.4%
65	Camille Smith PHX	29	249	843	80.6%	80.1%	+0.4%
66	Briann January PHX	32	676	415	80.4%	79.9%	+0.5%
67	Stephanie Talbot MIN	33	546	787	72.4%	71.8%	+0.6%
68	DeWanna Bonner PHX	34	906	185	80.3%	79.6%	+0.7%
69	Kayla McBride LVA	34	992	349	74.7%	74.0%	+0.7%
70	Sugar Rodgers LVA	33	359	982	75.1%	74.3%	+0.8%
71	Natisha Hiedeman ATL/CON	20	181	759	71.2%	70.4%	+0.8%
72	Shekinna Stricklen CON	34	802	538	70.9%	70.1%	+0.8%
73	Sophie Cunningham PHX	32	291	763	80.9%	80.0%	+0.9%
74	Diamond DeShields CHI	34	1016	315	75.9%	75.0%	+0.9%
75	Jantel Lavender CHI	23	617	715	76.2%	75.3%	+0.9%
76	Tina Charles NYL	33	1027	310	74.7%	73.7%	+1.0%
77	Kalani Brown LAS	28	348	898	76.1%	75.1%	+1.0%
78	Shavonte Zellous SEA	31	417	924	74.3%	73.1%	+1.2%
79	Natalie Achonwa IND	30	634	710	74.2%	72.8%	+1.4%
80	Kelsey Mitchell IND	34	835	510	74.0%	72.6%	+1.4%
81	Brooke McCarty-Williams DAL	34	424	914	71.6%	70.1%	+1.5%
82	Sydney Wiese LAS	32	585	662	76.4%	74.5%	+1.9%
83	Jasmine Thomas CON	34	1009	331	71.0%	69.2%	+1.9%
84	Bria Holmes CON	34	504	836	71.8%	69.8%	+2.0%
85	Tierra Ruffin-Pratt LAS	34	810	437	76.1%	74.1%	+2.0%
86	Brittney Griner PHX	31	868	223	80.8%	78.6%	+2.1%
87	Brittany Boyd-Jones NYL	33	636	701	75.7%	73.2%	+2.5%
88	Brittney Sykes ATL	34	877	472	75.3%	72.6%	+2.7%
89	Kia Nurse NYL	34	993	344	75.2%	72.3%	+2.9%
90	Isabelle Harrison DAL	31	786	472	71.9%	68.8%	+3.0%
91	Kaleena Mosqueda-Lewis SEA	31	419	922	75.6%	72.5%	+3.2%
92	Stefanie Dolson CHI	34	844	487	76.9%	73.7%	+3.2%
93	Essence Carson PHX	23	369	722	82.5%	79.2%	+3.3%
94	Karlie Samuelson LAS/DAL	7	84	236	73.8%	70.4%	+3.4%
95	Asia (AD) Durr NYL	18	475	822	76.7%	73.2%	+3.5%
96	Kristi Toliver WAS	23	678	650	75.9%	72.4%	+3.5%
97	Glory Johnson DAL	28	670	430	72.4%	68.9%	+3.5%
98	Betnijah Laney-Hamilton IND	34	876	468	74.8%	71.1%	+3.7%
99	Jessica Breland ATL	33	764	584	76.0%	72.1%	+3.8%
100	Danielle Robinson MIN	34	894	439	73.4%	69.3%	+4.1%

Stat leaders

On/Off

Opponent DREB% diff

NBA

WNBA

Methodology