Stat leaders

On/Off

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

#		GP	On min	Off min	On Opp AST%	Off Opp AST%	Opp AST% Diff
1	Destanni Henderson LAS/PHX	15	193	439	56.8%	66.3%	-9.5%
2	Nia Clouden LAS	5	44	1541	59.1%	66.9%	-7.8%
3	Candace Parker LVA	18	422	1116	58.8%	66.4%	-7.7%
4	Jade Melbourne SEA	29	283	1297	61.5%	69.1%	-7.6%
5	Asia (AD) Durr ATL	36	360	1213	58.5%	65.2%	-6.7%
6	Myisha Hines-Allen WAS	35	609	981	64.7%	70.7%	-6.0%
7	Stefanie Dolson NYL	23	264	1318	58.8%	64.0%	-5.2%
8	DeWanna Bonner CON	40	1199	387	65.4%	70.6%	-5.1%
9	Betnijah Laney-Hamilton NYL	40	1192	389	61.9%	67.0%	-5.1%
10	Joyner Holmes LAS/SEA	34	327	1252	64.1%	68.9%	-4.9%
11	Lexie Brown LAS	12	362	1222	63.0%	67.7%	-4.7%
12	Odyssey Sims DAL	28	330	825	62.6%	67.1%	-4.5%
13	Jennie Simms PHX/WAS	6	59	329	64.0%	68.5%	-4.5%
14	Zia Cooke LAS	39	534	1051	63.8%	68.1%	-4.3%
15	Kayla McBride MIN	38	1207	383	64.1%	68.4%	-4.3%
16	Ezi Magbegor SEA	40	1301	279	67.0%	71.1%	-4.2%
17	Awak Kuier DAL	37	393	1200	63.1%	67.2%	-4.0%
18	Rachel Banham MIN	32	420	1169	62.1%	66.2%	-4.0%
19	Shatori Walker-Kimbrough WAS	40	989	601	67.0%	70.8%	-3.8%
20	NaLyssa Smith IND	31	881	717	65.0%	68.8%	-3.7%
21	Kelsey Mitchell IND	40	1349	250	66.2%	69.8%	-3.6%
22	Grace Berger IND	36	513	1085	64.4%	67.8%	-3.3%
23	Aari McDonald ATL	24	548	1025	61.4%	64.7%	-3.3%
24	Crystal Dangerfield DAL	35	965	627	64.9%	68.0%	-3.1%
25	Brittney Griner PHX	31	851	711	63.9%	66.5%	-2.7%
26	Sabrina Ionescu NYL	36	1124	457	62.4%	64.9%	-2.5%
27	Tyasha Harris CON	40	642	943	65.3%	67.7%	-2.5%
28	Diana Taurasi PHX	26	703	860	63.8%	66.2%	-2.4%
29	Karlie Samuelson LAS	34	877	708	65.5%	67.9%	-2.3%
30	Chiney Ogwumike LAS	10	211	1374	64.6%	66.9%	-2.3%
31	Dana Evans CHI	39	812	765	65.9%	68.2%	-2.3%
32	Maya Caldwell IND	30	288	1310	64.9%	67.1%	-2.3%
33	Kaila Charles SEA	4	41	155	65.6%	67.8%	-2.2%
34	Morgan Bertsch CHI	28	381	1196	65.4%	67.6%	-2.2%
35	Courtney Vandersloot NYL	39	1174	407	62.5%	64.7%	-2.1%
36	Breanna Stewart NYL	40	1365	216	62.8%	64.9%	-2.1%
37	Monique Billings ATL	39	646	927	62.3%	64.4%	-2.1%
38	Dorka Juhasz MIN	38	907	682	64.3%	66.3%	-2.0%
39	Sophie Cunningham PHX	31	888	675	64.3%	66.2%	-2.0%
40	Naz Hillmon ATL	40	522	1051	62.5%	64.1%	-1.6%
41	Nneka Ogwumike LAS	36	1121	464	66.1%	67.6%	-1.5%
42	Kierstan Bell LVA	36	363	1175	63.4%	64.8%	-1.5%
43	Erica Wheeler IND	40	1064	534	66.3%	67.7%	-1.4%
44	Megan Gustafson PHX	34	490	1073	64.1%	65.6%	-1.4%
45	Jonquel Jones NYL	40	992	589	62.6%	64.0%	-1.4%
46	Brionna Jones CON	13	411	1174	65.7%	67.1%	-1.4%
47	Tiffany Hayes CON	40	1077	509	66.3%	67.7%	-1.3%
48	Li Meng WAS	34	533	857	67.4%	68.8%	-1.3%
49	Kia Nurse SEA	40	779	801	67.2%	68.3%	-1.1%
50	Danielle Robinson ATL	32	683	890	63.0%	64.0%	-1.1%

Top opponent AST% diff leaders

The current 2023 Season WNBA leaders in opponent AST% diff are Destanni Henderson (-9.5%, PHX), Nia Clouden (-7.8%, LAS), Candace Parker (-7.7%, LVA), Jade Melbourne (-7.6%, SEA), and Asia (AD) Durr (-6.7%, ATL).

Stat leaders

On/Off

Opponent AST% diff

NBA

WNBA

Methodology