Stat leaders

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Min. 14-17 GP (70% of team's games), 15 MPG Relax qualifiers

Team AST% diff

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

Min. 14-17 GP (70% of team's games), 15 MPG

#		GP	On min	Off min	On AST%	Off AST%	AST% Diff
1	A'ja Wilson LVA	20	642	222	70.7%	58.4%	+12.3%
2	Arike Ogunbowale DAL	23	661	246	68.9%	58.9%	+10.0%
3	Skylar Diggins CHI	19	550	288	73.2%	63.3%	+9.9%
4	Jackie Young LVA	22	718	146	69.4%	60.5%	+8.9%
5	Michaela Onyenwere WAS	16	414	409	72.4%	63.6%	+8.7%
6	Azura Stevens CHI	16	363	475	74.6%	66.0%	+8.6%
7	Natasha Mack PHX	18	448	458	70.9%	63.0%	+7.9%
8	Julie Allemand TOR	16	453	418	69.7%	62.1%	+7.6%
9	Erica Wheeler LAS	20	541	244	67.6%	60.2%	+7.4%
10	Saniya Rivers CON	21	475	445	67.7%	60.4%	+7.3%
11	Chelsea Gray LVA	22	731	133	68.8%	62.6%	+6.1%
12	Cameron Brink LAS	14	247	538	69.6%	63.6%	+6.0%
13	Maria Conde TOR	22	564	307	67.9%	62.4%	+5.5%
14	Caitlin Clark IND	18	536	339	66.0%	60.5%	+5.5%
15	Lauren Betts WAS	20	318	504	71.2%	66.1%	+5.2%
16	Sarah Ashlee Barker PDX	22	557	320	68.9%	64.0%	+4.8%
17	Awak Kuier DAL	20	342	565	68.9%	64.3%	+4.5%
18	Monique Billings IND	21	408	467	66.3%	61.7%	+4.5%
19	Janelle Salaun GSV	24	545	403	66.1%	61.7%	+4.4%
20	Awa Fam SEA	18	522	274	68.6%	64.3%	+4.3%
21	Megan Gustafson PDX	22	489	387	68.9%	64.8%	+4.0%
22	Alyssa Thomas PHX	21	703	204	67.6%	63.7%	+3.9%
23	Nia Coffey MIN	22	576	270	64.4%	60.5%	+3.8%
24	Naz Hillmon ATL	21	618	250	65.3%	62.0%	+3.4%
25	Laura Juskaite TOR	22	483	388	67.3%	64.4%	+2.9%
26	Jonquel Jones NYL	21	615	262	70.9%	68.0%	+2.9%
27	Elizabeth Williams CHI	21	357	481	71.4%	68.6%	+2.8%
28	Lexie Hull IND	22	432	443	65.2%	62.5%	+2.7%
29	Kayla McBride MIN	22	707	139	63.5%	61.1%	+2.5%
30	Aneesah Morrow CON	17	389	531	65.6%	63.2%	+2.4%
31	Zia Cooke SEA	24	358	598	68.4%	66.0%	+2.4%
32	Marine Johannes NYL	22	512	365	71.0%	68.7%	+2.3%
33	Paige Bueckers DAL	22	734	174	66.4%	64.2%	+2.2%
34	Stephanie Talbot LVA	22	396	469	68.8%	66.9%	+1.9%
35	Katie Lou Samuelson SEA	18	273	683	68.2%	66.3%	+1.8%
36	Bridget Carleton PDX	21	634	243	67.6%	65.8%	+1.8%
37	Sydney Taylor CHI	19	346	492	70.6%	69.2%	+1.4%
38	Natisha Hiedeman SEA	24	692	264	67.1%	65.9%	+1.3%
39	Aliyah Boston IND	20	546	330	64.3%	63.1%	+1.2%
40	Azzi Fudd DAL	22	678	229	66.3%	65.3%	+1.0%
41	Jordin Canada ATL	22	680	187	64.6%	63.6%	+0.9%
42	Pauline Astier NYL	22	532	345	70.4%	69.6%	+0.8%
43	Kamilla Cardoso CHI	21	556	281	70.0%	69.3%	+0.7%
44	Rhyne Howard ATL	21	737	130	64.5%	63.8%	+0.7%
45	NaLyssa Smith LVA	22	526	338	68.0%	67.5%	+0.5%
46	Olivia Nelson-Ododa CON	19	383	537	64.4%	63.9%	+0.5%
47	Charlisse Leger-Walker CON	23	500	420	64.3%	64.0%	+0.3%
48	Lexi Held TOR/PHX	22	349	518	66.9%	66.7%	+0.2%
49	Dearica Hamby LAS	20	581	204	65.3%	65.3%	+0.0%
50	Cecilia Zandalasini GSV	20	346	602	64.3%	64.3%	+0.0%

Top team AST% diff leaders

The current 2026 Season WNBA leaders in team AST% diff are A'ja Wilson (+12.3%, LVA), Arike Ogunbowale (+10.0%, DAL), Skylar Diggins (+9.9%, CHI), Jackie Young (+8.9%, LVA), and Michaela Onyenwere (+8.7%, WAS).

Stat leaders

On/Off

Team AST% diff

NBA

WNBA

Methodology