Stat leaders

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

#		GP	On min	Off min	On AST%	Off AST%	AST% Diff
1	Diana Taurasi PHX	6	118	871	78.2%	64.4%	+13.7%
2	Brooke McCarty-Williams DAL	34	424	914	66.3%	55.5%	+10.8%
3	Tayler Hill DAL	4	48	699	67.6%	58.5%	+9.1%
4	Jessica Breland ATL	33	764	584	64.4%	56.7%	+7.7%
5	Allisha Gray DAL	34	1021	317	60.4%	53.7%	+6.7%
6	Stefanie Dolson CHI	34	844	487	71.0%	65.0%	+6.0%
7	Sylvia Fowles MIN	34	994	338	68.4%	62.9%	+5.5%
8	Jessica Shepard MIN	6	109	1184	72.0%	66.5%	+5.4%
9	Isabelle Harrison DAL	31	786	472	60.8%	56.3%	+4.5%
10	Jantel Lavender CHI	23	617	715	71.0%	66.8%	+4.2%
11	Kristi Toliver WAS	23	678	650	68.8%	64.9%	+3.9%
12	Kaleena Mosqueda-Lewis SEA	31	419	922	66.0%	62.5%	+3.5%
13	Lexie Brown MIN	33	589	744	68.9%	65.5%	+3.4%
14	Ariel Atkins WAS	33	788	540	68.1%	65.2%	+2.9%
15	Crystal Langhorne SEA	34	564	777	65.3%	62.5%	+2.8%
16	LaToya Sanders WAS	34	797	530	68.1%	65.3%	+2.7%
17	Kayla Thornton DAL	27	811	407	59.9%	57.3%	+2.6%
18	Karima Christmas-Kelly MIN	6	72	1221	68.9%	66.8%	+2.0%
19	Seimone Augustus MIN	12	155	1097	68.8%	66.7%	+2.0%
20	Elizabeth Williams ATL	32	909	440	61.8%	59.8%	+2.0%
21	Danielle Robinson MIN	34	894	439	67.4%	66.0%	+1.3%
22	Tiffany Hayes ATL	29	817	531	61.6%	60.4%	+1.2%
23	Elena Delle Donne WAS	31	900	428	67.2%	66.3%	+0.9%
24	Emma Meesseman WAS	23	533	359	67.2%	66.7%	+0.6%
25	Sami Whitcomb SEA	33	667	674	63.7%	63.4%	+0.3%
26	Stephanie Talbot MIN	33	546	787	67.1%	66.9%	+0.2%
27	Azura Stevens DAL	9	141	767	58.7%	58.9%	-0.2%
28	Alysha Clark SEA	31	879	463	63.2%	64.1%	-0.9%
29	Allie Quigley CHI	34	962	369	68.4%	69.7%	-1.3%
30	Tanisha Wright NYL	31	612	725	67.4%	68.9%	-1.5%
31	Temi Fagbenle MIN	18	260	442	65.4%	67.4%	-1.9%
32	Tianna Hawkins WAS	31	458	870	65.6%	67.6%	-2.0%
33	Courtney Vandersloot CHI	33	986	345	68.3%	70.4%	-2.1%
34	Imani McGee-Stafford DAL	29	339	999	57.3%	59.4%	-2.1%
35	Mercedes Russell SEA	34	863	478	62.8%	65.0%	-2.1%
36	Renee Montgomery ATL	34	945	403	60.4%	62.7%	-2.3%
37	Shavonte Zellous SEA	31	417	924	61.6%	64.3%	-2.7%
38	Karlie Samuelson LAS/DAL	7	84	236	56.3%	59.1%	-2.8%
39	Natasha Cloud WAS	34	1088	240	66.3%	69.4%	-3.2%
40	Napheesa Collier MIN	34	1111	221	66.4%	69.6%	-3.2%
41	Damiris Dantas MIN	26	663	630	65.3%	68.6%	-3.3%
42	Shatori Walker-Kimbrough WAS	34	549	778	64.8%	68.4%	-3.6%
43	Theresa Plaisance DAL/CON	31	425	896	61.0%	64.9%	-3.9%
44	Bria Hartley NYL	24	534	410	65.8%	69.8%	-4.1%
45	Jewell Loyd SEA	27	686	655	61.5%	65.7%	-4.2%
46	Marine Johannes NYL	19	339	411	64.7%	69.5%	-4.8%
47	Glory Johnson DAL	28	670	430	56.4%	61.2%	-4.9%
48	Odyssey Sims MIN	34	1071	262	65.9%	71.1%	-5.2%
49	Rebecca Allen NYL	24	407	893	64.5%	70.0%	-5.5%
50	Aerial Powers WAS	30	582	746	63.7%	69.4%	-5.7%

Top team AST% diff leaders

The current 2019 Season WNBA leaders in team AST% diff are Diana Taurasi (+13.7%, PHX), Brooke McCarty-Williams (+10.8%, DAL), Tayler Hill (+9.1%, DAL), Jessica Breland (+7.7%, ATL), and Allisha Gray (+6.7%, DAL).

Stat leaders

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Team AST% diff

NBA

WNBA

Methodology