Stat leaders

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Min. 28 GP (70% of team's games), 15 MPG Relax qualifiers

Opponent AST% diff

Difference in the share of opponent field goals assisted with the player on court vs off Learn more

Min. 28 GP (70% of team's games), 15 MPG

#		GP	On min	Off min	On Opp AST%	Off Opp AST%	Opp AST% Diff
1	Myisha Hines-Allen WAS	35	609	981	64.7%	70.7%	-6.0%
2	DeWanna Bonner CON	40	1199	387	65.4%	70.6%	-5.1%
3	Betnijah Laney-Hamilton NYL	40	1192	389	61.9%	67.0%	-5.1%
4	Kayla McBride MIN	38	1207	383	64.1%	68.4%	-4.3%
5	Ezi Magbegor SEA	40	1301	279	67.0%	71.1%	-4.2%
6	Shatori Walker-Kimbrough WAS	40	989	601	67.0%	70.8%	-3.8%
7	NaLyssa Smith IND	31	881	717	65.0%	68.8%	-3.7%
8	Kelsey Mitchell IND	40	1349	250	66.2%	69.8%	-3.6%
9	Crystal Dangerfield DAL	35	965	627	64.9%	68.0%	-3.1%
10	Brittney Griner PHX	31	851	711	63.9%	66.5%	-2.7%
11	Sabrina Ionescu NYL	36	1124	457	62.4%	64.9%	-2.5%
12	Tyasha Harris CON	40	642	943	65.3%	67.7%	-2.5%
13	Karlie Samuelson LAS	34	877	708	65.5%	67.9%	-2.3%
14	Dana Evans CHI	39	812	765	65.9%	68.2%	-2.3%
15	Courtney Vandersloot NYL	39	1174	407	62.5%	64.7%	-2.1%
16	Breanna Stewart NYL	40	1365	216	62.8%	64.9%	-2.1%
17	Monique Billings ATL	39	646	927	62.3%	64.4%	-2.1%
18	Dorka Juhasz MIN	38	907	682	64.3%	66.3%	-2.0%
19	Sophie Cunningham PHX	31	888	675	64.3%	66.2%	-2.0%
20	Nneka Ogwumike LAS	36	1121	464	66.1%	67.6%	-1.5%
21	Erica Wheeler IND	40	1064	534	66.3%	67.7%	-1.4%
22	Megan Gustafson PHX	34	490	1073	64.1%	65.6%	-1.4%
23	Jonquel Jones NYL	40	992	589	62.6%	64.0%	-1.4%
24	Tiffany Hayes CON	40	1077	509	66.3%	67.7%	-1.3%
25	Li Meng WAS	34	533	857	67.4%	68.8%	-1.3%
26	Kia Nurse SEA	40	779	801	67.2%	68.3%	-1.1%
27	Danielle Robinson ATL	32	683	890	63.0%	64.0%	-1.1%
28	Chelsea Gray LVA	40	1273	265	64.3%	65.1%	-0.8%
29	Dearica Hamby LAS	40	979	606	66.4%	66.9%	-0.4%
30	Brittney Sykes WAS	40	1242	348	68.2%	68.7%	-0.4%
31	Mercedes Russell SEA	37	705	875	67.6%	67.9%	-0.4%
32	Teaira McCowan DAL	30	779	615	66.0%	66.3%	-0.3%
33	Napheesa Collier MIN	37	1235	354	65.0%	65.3%	-0.3%
34	Alysha Clark LVA	39	837	701	64.4%	64.6%	-0.2%
35	Diamond Miller MIN	32	820	769	65.0%	65.2%	-0.1%
36	Kristy Wallace IND	37	726	872	66.7%	66.7%	+0.0%
37	Arike Ogunbowale DAL	40	1485	108	66.2%	66.0%	+0.2%
38	Courtney Williams CHI	40	1199	378	67.1%	66.8%	+0.3%
39	Bridget Carleton MIN	38	566	1023	65.4%	64.9%	+0.5%
40	Marina Mabrey CHI	39	1162	415	67.2%	66.6%	+0.6%
41	Brianna Turner PHX	40	1043	520	65.4%	64.6%	+0.8%
42	Moriah Jefferson PHX	39	960	603	65.4%	64.6%	+0.8%
43	Aliyah Boston IND	40	1247	351	66.9%	66.0%	+0.9%
44	Natasha Howard DAL	39	1280	312	66.4%	65.3%	+1.0%
45	Alanna Smith CHI	38	1002	575	67.4%	66.4%	+1.0%
46	Victoria Vivians IND	38	666	932	67.5%	66.2%	+1.3%
47	Kahleah Copper CHI	38	1180	397	67.3%	66.0%	+1.3%
48	Elizabeth Williams CHI	40	1180	397	67.4%	66.0%	+1.4%
49	Tianna Hawkins WAS	40	918	672	68.9%	67.4%	+1.5%
50	Tiffany Mitchell MIN	33	757	832	65.9%	64.4%	+1.5%

Top opponent AST% diff leaders

The current 2023 Season WNBA leaders in opponent AST% diff are Myisha Hines-Allen (-6.0%, WAS), DeWanna Bonner (-5.1%, CON), Betnijah Laney-Hamilton (-5.1%, NYL), Kayla McBride (-4.3%, MIN), and Ezi Magbegor (-4.2%, SEA).

Stat leaders

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Opponent AST% diff

NBA

WNBA

Methodology