Stat leaders

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Min. 2-3 GP (10% of team's games), 10 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. 2-3 GP (10% of team's games), 10 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	Courtney Vandersloot CHI	4	62	775	80.3%	68.6%	+11.7%
3	Monique Akoa Makani PHX	12	282	390	74.9%	63.5%	+11.4%
4	Arike Ogunbowale DAL	23	661	246	68.9%	58.9%	+10.0%
5	Skylar Diggins CHI	19	550	288	73.2%	63.3%	+9.9%
6	Jackie Young LVA	22	718	146	69.4%	60.5%	+8.9%
7	Isabelle Harrison TOR	12	296	575	71.8%	63.0%	+8.8%
8	Michaela Onyenwere WAS	16	414	409	72.4%	63.6%	+8.7%
9	Azura Stevens CHI	16	363	475	74.6%	66.0%	+8.6%
10	Temi Fagbenle TOR	8	141	729	73.0%	64.6%	+8.4%
11	Julie Vanloo NYL	5	77	122	77.1%	69.2%	+8.0%
12	Natasha Mack PHX	18	448	458	70.9%	63.0%	+7.9%
13	Laeticia Amihere GSV	20	233	715	70.1%	62.3%	+7.8%
14	Julie Allemand TOR	16	453	418	69.7%	62.1%	+7.6%
15	Erica Wheeler LAS	20	541	244	67.6%	60.2%	+7.4%
16	Saniya Rivers CON	21	475	445	67.7%	60.4%	+7.3%
17	Chelsea Gray LVA	22	731	133	68.8%	62.6%	+6.1%
18	Cameron Brink LAS	14	247	538	69.6%	63.6%	+6.0%
19	Antonia Delaere MIN	22	274	571	66.8%	61.1%	+5.7%
20	Maria Conde TOR	22	564	307	67.9%	62.4%	+5.5%
21	Caitlin Clark IND	18	536	339	66.0%	60.5%	+5.5%
22	Tima Pouye TOR	14	136	421	70.6%	65.3%	+5.3%
23	Karlie Samuelson PDX	11	154	723	71.6%	66.3%	+5.3%
24	Lauren Betts WAS	20	318	504	71.2%	66.1%	+5.2%
25	Lexie Brown SEA	10	150	326	71.0%	66.2%	+4.8%
26	Sarah Ashlee Barker PDX	22	557	320	68.9%	64.0%	+4.8%
27	Frieda Buhner PDX	19	253	624	70.3%	65.5%	+4.8%
28	Alicia Florez WAS	11	212	611	71.6%	66.8%	+4.8%
29	Awak Kuier DAL	20	342	565	68.9%	64.3%	+4.5%
30	Monique Billings IND	21	408	467	66.3%	61.7%	+4.5%
31	Janelle Salaun GSV	24	545	403	66.1%	61.7%	+4.4%
32	Teja Oblak PDX	16	219	501	70.3%	66.0%	+4.3%
33	Awa Fam SEA	18	522	274	68.6%	64.3%	+4.3%
34	Kierstan Bell LVA	18	177	687	71.1%	66.9%	+4.2%
35	Brittney Griner CON	13	331	589	66.8%	62.6%	+4.2%
36	Megan Gustafson PDX	22	489	387	68.9%	64.8%	+4.0%
37	Alyssa Thomas PHX	21	703	204	67.6%	63.7%	+3.9%
38	Nia Coffey MIN	22	576	270	64.4%	60.5%	+3.8%
39	Naz Hillmon ATL	21	618	250	65.3%	62.0%	+3.4%
40	Rebecca Allen NYL	8	79	799	72.9%	69.8%	+3.1%
41	Laura Juskaite TOR	22	483	388	67.3%	64.4%	+2.9%
42	Isobel Borlase ATL	22	257	611	66.3%	63.5%	+2.9%
43	Jonquel Jones NYL	21	615	262	70.9%	68.0%	+2.9%
44	Elizabeth Williams CHI	21	357	481	71.4%	68.6%	+2.8%
45	Lexie Hull IND	22	432	443	65.2%	62.5%	+2.7%
46	Kyara Linskens PHX	16	154	752	69.0%	66.4%	+2.6%
47	Kayla McBride MIN	22	707	139	63.5%	61.1%	+2.5%
48	Aneesah Morrow CON	17	389	531	65.6%	63.2%	+2.4%
49	Zia Cooke SEA	24	358	598	68.4%	66.0%	+2.4%
50	Marine Johannes NYL	22	512	365	71.0%	68.7%	+2.3%

Top team AST% diff leaders

The current 2026 Season WNBA leaders in team AST% diff are A'ja Wilson (+12.3%, LVA), Courtney Vandersloot (+11.7%, CHI), Monique Akoa Makani (+11.4%, PHX), Arike Ogunbowale (+10.0%, DAL), and Skylar Diggins (+9.9%, CHI).

Stat leaders

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Team AST% diff

NBA

WNBA

Methodology