Stat leaders

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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	Arike Ogunbowale DAL	33	1046	252	55.6%	122.7%	-67.2%
2	Natasha Cloud WAS	34	1088	240	50.9%	110.5%	-59.6%
3	Odyssey Sims MIN	34	1071	262	49.8%	108.3%	-58.5%
4	Napheesa Collier MIN	34	1111	221	50.2%	108.6%	-58.4%
5	Allisha Gray DAL	34	1021	317	56.4%	106.8%	-50.4%
6	Sylvia Fowles MIN	34	994	338	50.0%	95.5%	-45.5%
7	Renee Montgomery ATL	34	945	403	52.6%	96.6%	-44.0%
8	Natasha Howard SEA	34	1065	276	54.2%	97.4%	-43.2%
9	Kia Nurse NYL	34	993	344	56.5%	99.6%	-43.1%
10	Tina Charles NYL	33	1027	310	57.8%	100.9%	-43.1%
11	Chelsea Gray LAS	34	1024	223	52.5%	93.3%	-40.9%
12	Elizabeth Williams ATL	32	909	440	52.3%	92.6%	-40.3%
13	Candice Dupree IND	34	1038	306	60.2%	100.4%	-40.2%
14	Brittney Sykes ATL	34	877	472	52.4%	90.6%	-38.2%
15	DeWanna Bonner PHX	34	906	185	54.0%	90.3%	-36.3%
16	Kayla McBride LVA	34	992	349	58.3%	92.9%	-34.6%
17	Brittney Griner PHX	31	868	223	52.4%	86.8%	-34.4%
18	Mercedes Russell SEA	34	863	478	52.8%	85.2%	-32.4%
19	Kayla Thornton DAL	27	811	407	55.6%	86.4%	-30.8%
20	Isabelle Harrison DAL	31	786	472	55.6%	86.4%	-30.8%
21	Tiffany Hayes ATL	29	817	531	53.2%	83.9%	-30.7%
22	Alysha Clark SEA	31	879	463	53.2%	83.4%	-30.2%
23	Diamond DeShields CHI	34	1016	315	54.5%	82.9%	-28.4%
24	Elena Delle Donne WAS	31	900	428	52.2%	80.2%	-28.0%
25	Dearica Hamby LVA	34	840	501	55.9%	83.6%	-27.7%
26	Kelsey Plum LVA	34	869	473	57.6%	85.3%	-27.7%
27	Damiris Dantas MIN	26	663	630	47.4%	74.7%	-27.3%
28	Jessica Breland ATL	33	764	584	54.3%	80.8%	-26.5%
29	Glory Johnson DAL	28	670	430	55.2%	81.5%	-26.3%
30	Leilani Mitchell PHX	32	792	228	53.2%	78.3%	-25.1%
31	Allie Quigley CHI	34	962	369	54.8%	79.5%	-24.6%
32	Kaela Davis DAL	33	630	708	55.0%	79.5%	-24.5%
33	Alyssa Thomas CON	34	1027	313	61.3%	85.7%	-24.3%
34	Jewell Loyd SEA	27	686	655	52.4%	76.4%	-24.0%
35	Tierra Ruffin-Pratt LAS	34	810	437	51.9%	75.8%	-24.0%
36	Kristi Toliver WAS	23	678	650	50.7%	74.4%	-23.7%
37	Tanisha Wright NYL	31	612	725	53.8%	77.4%	-23.6%
38	Monique Billings ATL	29	537	812	51.2%	74.5%	-23.4%
39	A'ja Wilson LVA	26	738	604	56.9%	80.2%	-23.3%
40	Kelsey Mitchell IND	34	835	510	61.5%	84.6%	-23.2%
41	Danielle Robinson MIN	34	894	439	53.9%	76.7%	-22.8%
42	Briann January PHX	32	676	415	51.5%	74.3%	-22.8%
43	Ariel Atkins WAS	33	788	540	52.2%	74.8%	-22.6%
44	Sydney Wiese LAS	32	585	662	49.3%	71.7%	-22.4%
45	Karima Christmas-Kelly MIN	6	72	1221	40.6%	62.8%	-22.2%
46	Brooke McCarty-Williams DAL	34	424	914	53.2%	75.4%	-22.2%
47	LaToya Sanders WAS	34	797	530	53.1%	74.8%	-21.7%
48	Courtney Vandersloot CHI	33	986	345	55.9%	77.6%	-21.6%
49	Nneka Ogwumike LAS	32	856	391	53.2%	74.8%	-21.6%
50	Maite Cazorla ATL	31	464	885	51.2%	72.6%	-21.4%

Top opponent AST% diff leaders

The current 2019 Season WNBA leaders in opponent AST% diff are Arike Ogunbowale (-67.2%, DAL), Natasha Cloud (-59.6%, WAS), Odyssey Sims (-58.5%, MIN), Napheesa Collier (-58.4%, MIN), and Allisha Gray (-50.4%, DAL).

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Opponent AST% diff

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Methodology