Stat leaders

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

#		GP	On min	Off min	On Opp AST%	Off Opp AST%	Opp AST% Diff
1	Maddy Siegrist DAL	22	295	612	56.3%	69.9%	-13.6%
2	Kiana Williams PHX/LAS	13	166	581	58.5%	69.0%	-10.5%
3	Courtney Vandersloot CHI	4	62	775	51.1%	61.1%	-10.0%
4	Mackenzie Holmes SEA	20	220	736	60.9%	69.9%	-9.0%
5	Ashlon Jackson CON	6	62	858	58.5%	67.1%	-8.6%
6	Chance Gray LAS	17	176	610	60.0%	68.5%	-8.5%
7	Ezi Magbegor SEA	4	53	903	60.0%	68.2%	-8.2%
8	Rebecca Allen NYL	8	79	799	58.3%	66.5%	-8.1%
9	Olivia Miles MIN	20	596	249	67.5%	74.6%	-7.1%
10	Kyara Linskens PHX	16	154	752	60.9%	67.9%	-6.9%
11	Megan Gustafson PDX	22	489	387	70.6%	77.5%	-6.9%
12	Aziaha James DAL	23	273	634	60.6%	67.4%	-6.8%
13	Kayla McBride MIN	22	707	139	68.7%	75.0%	-6.3%
14	Julie Vanloo NYL	5	77	122	60.0%	66.2%	-6.2%
15	Temi Fagbenle TOR	8	141	729	61.0%	66.7%	-5.7%
16	Carla Leite PDX	20	502	375	71.3%	76.5%	-5.2%
17	Emily Engstler PDX	22	519	358	71.5%	76.5%	-5.0%
18	Sydney Taylor CHI	19	346	492	57.6%	62.2%	-4.5%
19	Odyssey Sims DAL	14	208	700	62.0%	66.4%	-4.4%
20	Laura Juskaite TOR	22	483	388	63.8%	68.0%	-4.2%
21	Brianna Turner LVA	19	178	686	58.4%	62.6%	-4.2%
22	Elizabeth Williams CHI	21	357	481	57.9%	62.0%	-4.1%
23	Jovana Nogic PHX	16	313	315	63.9%	68.0%	-4.1%
24	Tyasha Harris IND	17	234	641	59.1%	63.1%	-4.0%
25	Tima Pouye TOR	14	136	421	62.5%	66.3%	-3.8%
26	Julie Allemand TOR	16	453	418	63.8%	67.5%	-3.7%
27	Laeticia Amihere GSV	20	233	715	67.1%	70.7%	-3.6%
28	Brittney Griner CON	13	331	589	64.3%	67.9%	-3.6%
29	Lauren Betts WAS	20	318	504	64.1%	67.7%	-3.5%
30	Courtney Williams MIN	22	656	189	69.0%	72.5%	-3.5%
31	Rickea Jackson CHI	4	118	595	57.3%	60.8%	-3.5%
32	Gabby Williams GSV	23	584	364	68.5%	71.8%	-3.2%
33	Te-Hina Paopao ATL	22	285	583	62.6%	65.7%	-3.2%
34	Alicia Florez WAS	11	212	611	64.0%	67.1%	-3.1%
35	Rachel Banham CHI	18	253	585	58.2%	61.2%	-3.0%
36	Janelle Salaun GSV	24	545	403	68.5%	71.5%	-3.0%
37	Chelsea Gray LVA	22	731	133	61.3%	63.9%	-2.6%
38	Aaliyah Edwards CON	17	325	595	65.0%	67.5%	-2.5%
39	Natasha Howard MIN	22	652	194	69.2%	71.6%	-2.4%
40	Nia Coffey MIN	22	576	270	69.0%	71.4%	-2.4%
41	Bridget Carleton PDX	21	634	243	72.9%	75.3%	-2.4%
42	Leila Lacan CON	14	401	239	65.3%	67.6%	-2.3%
43	Rebekah Gardner NYL	21	322	556	64.4%	66.5%	-2.1%
44	Kia Nurse TOR	22	243	627	64.2%	66.3%	-2.1%
45	Sophie Cunningham IND	21	473	403	61.1%	63.2%	-2.1%
46	Myisha Hines-Allen IND	22	335	540	60.7%	62.8%	-2.1%
47	Allisha Gray ATL	22	726	142	64.3%	66.4%	-2.1%
48	Dearica Hamby LAS	20	581	204	66.0%	68.0%	-2.0%
49	Pauline Astier NYL	22	532	345	65.0%	66.9%	-1.9%
50	Naz Hillmon ATL	21	618	250	64.1%	66.0%	-1.9%

Top opponent AST% diff leaders

The current 2026 Season WNBA leaders in opponent AST% diff are Maddy Siegrist (-13.6%, DAL), Kiana Williams (-10.5%, LAS), Courtney Vandersloot (-10.0%, CHI), Mackenzie Holmes (-9.0%, SEA), and Ashlon Jackson (-8.6%, CON).

Stat leaders

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Opponent AST% diff

NBA

WNBA

Methodology