Stat leaders

Difference in the team's defensive rebound rate with the player on court vs off Learn more

Min. 2-3 GP (10% of team's games), 10 MPG

	#	Player		GP	On min	Off min	On DREB%	Off DREB%	DREB% Diff
	51		Brittney Griner CON	13	331	589	75.5%	73.7%	+1.9%
	52		Aaliyah Edwards CON	17	325	595	75.6%	73.7%	+1.9%
	53		Sug Sutton PDX/DAL	11	142	451	78.6%	76.8%	+1.8%
	54		Rhyne Howard ATL	21	737	130	79.4%	77.6%	+1.8%
	55		Jordan Horston SEA	19	347	609	73.1%	71.5%	+1.6%
	56		Rae Burrell LAS	21	567	258	71.4%	69.8%	+1.6%
	57		Makayla Timpson IND	21	273	602	79.4%	78.0%	+1.4%
	58		Azura Stevens CHI	17	393	484	72.6%	71.3%	+1.3%
	59		Kaitlyn Chen GSV	24	350	598	76.1%	74.9%	+1.2%
	60		Rickea Jackson CHI	4	118	595	72.7%	71.7%	+1.1%
	61		Arike Ogunbowale DAL	23	661	246	77.4%	76.3%	+1.0%
	62		Janelle Salaun GSV	24	545	403	75.8%	74.8%	+1.0%
	63		Aziaha James DAL	23	273	634	77.7%	76.8%	+0.9%
	64		Jade Melbourne SEA	23	534	422	72.5%	71.6%	+0.8%
	65		Cotie McMahon WAS	18	378	445	77.1%	76.3%	+0.8%
	66		Ariel Atkins LAS	19	482	343	71.2%	70.5%	+0.7%
	67		Aliyah Boston IND	20	546	330	78.7%	78.1%	+0.6%
	68		Tyasha Harris IND	17	234	641	78.9%	78.3%	+0.6%
	69		Hailey Van Lith CON	11	171	709	74.8%	74.3%	+0.5%
	70		Teja Oblak PDX	16	219	501	69.7%	69.2%	+0.5%
	71		Valeriane Ayayi PHX	17	264	568	77.3%	76.8%	+0.4%
	72		Georgia Amoore WAS	20	461	362	76.9%	76.5%	+0.4%
	73		Jovana Nogic PHX	16	313	315	77.2%	76.8%	+0.4%
	74		Angela Dugalic WAS	20	265	558	76.9%	76.6%	+0.3%
	75		Julie Allemand TOR	16	453	418	69.7%	69.4%	+0.3%
	76		Kayla McBride MIN	22	707	139	73.9%	73.7%	+0.3%
	77		Stefanie Dolson SEA	24	442	514	72.1%	72.1%	+0.0%
	78		Natasha Mack PHX	18	448	458	77.0%	77.0%	+0.0%
	79		Rebekah Gardner NYL	21	322	556	75.2%	75.3%	-0.1%
	80		Tiffany Hayes GSV	22	343	604	75.3%	75.4%	-0.1%
	81		Lexie Brown SEA	10	150	326	72.0%	72.1%	-0.1%
	82		Monique Akoa Makani PHX	12	282	390	76.9%	77.0%	-0.2%
	83		Lauren Betts WAS	20	318	504	76.6%	76.8%	-0.2%
	84		Awak Kuier DAL	20	342	565	76.9%	77.2%	-0.2%
	85		Marine Johannes NYL	22	512	365	75.2%	75.4%	-0.3%
	86		Mackenzie Holmes SEA	20	220	736	71.9%	72.2%	-0.3%
	87		DeWanna Bonner PHX	23	609	297	76.8%	77.2%	-0.4%
	88		Sophie Cunningham IND	21	473	403	78.3%	78.7%	-0.4%
	89		Skylar Diggins CHI	19	550	328	71.7%	72.1%	-0.4%
	90		Courtney Williams MIN	22	656	189	73.8%	74.2%	-0.4%
	91		Jacy Sheldon CHI	22	469	408	71.6%	72.1%	-0.4%
	92		Flau'jae Johnson SEA	24	676	280	72.0%	72.5%	-0.5%
	93		Maya Caldwell MIN	22	294	552	73.6%	74.1%	-0.5%
	94		Betnijah Laney-Hamilton NYL	15	264	613	74.9%	75.4%	-0.5%
	95		Kelsey Plum LAS	12	415	410	70.6%	71.2%	-0.6%
	96		Myisha Hines-Allen IND	22	335	540	78.1%	78.7%	-0.6%
	97		Kia Nurse TOR	22	243	627	69.1%	69.8%	-0.7%
	98		Sabrina Ionescu NYL	10	287	591	74.8%	75.5%	-0.7%
	99		Sydney Taylor CHI	20	366	511	71.3%	72.2%	-0.9%
	100		Isobel Borlase ATL	22	257	611	78.4%	79.3%	-1.0%