Stat leaders

On/Off

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

Team TOV% diff

Difference in the team's turnover rate per possession 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 TOV%	Off TOV%	TOV% Diff
1	Lindsay Allen MIN	9	123	225	13.2%	16.6%	-3.4%
2	Allie Quigley CHI	34	891	540	14.5%	17.0%	-2.5%
3	Napheesa Collier MIN	4	90	105	13.9%	16.4%	-2.5%
4	Maya Caldwell ATL	9	212	148	14.6%	17.0%	-2.4%
5	Michaela Onyenwere NYL	34	441	980	15.6%	17.1%	-1.5%
6	Jackie Young LVA	33	1088	267	12.1%	13.4%	-1.3%
7	Katie Lou Samuelson LAS	32	928	320	15.3%	16.1%	-0.8%
8	Elena Delle Donne WAS	25	693	749	14.3%	15.0%	-0.7%
9	Kianna Smith LAS	11	101	325	15.0%	15.6%	-0.6%
10	Tiffany Hayes ATL	11	303	874	16.2%	16.8%	-0.5%
11	Asia (AD) Durr NYL/ATL	25	345	1075	16.3%	16.8%	-0.5%
12	Breanna Stewart SEA	34	1051	371	14.3%	14.8%	-0.5%
13	Marine Johannes NYL	24	609	336	16.4%	16.8%	-0.4%
14	Cheyenne Parker-Tyus ATL	36	937	474	16.5%	16.9%	-0.4%
15	Sophie Cunningham PHX	28	821	603	15.0%	15.3%	-0.3%
16	Han Xu NYL	32	513	908	16.5%	16.7%	-0.3%
17	Shey Peddy PHX	34	966	457	15.1%	15.3%	-0.2%
18	Rui Machida WAS	36	451	991	14.6%	14.7%	-0.1%
19	Elizabeth Williams WAS	30	440	843	14.6%	14.7%	-0.0%
20	Damiris Dantas MIN	15	260	1112	16.3%	16.3%	-0.0%
21	Candace Parker CHI	32	903	528	15.5%	15.4%	+0.1%
22	DiDi Richards NYL	14	146	1275	16.7%	16.6%	+0.1%
23	Crystal Dangerfield IND/NYL	33	686	611	16.7%	16.6%	+0.1%
24	Marina Mabrey DAL	34	939	488	14.1%	14.0%	+0.1%
25	Gabby Williams SEA	36	906	516	14.6%	14.3%	+0.3%
26	Natalie Achonwa MIN	22	310	1062	16.6%	16.2%	+0.4%
27	Rhyne Howard ATL	34	1064	347	16.8%	16.3%	+0.4%
28	Sue Bird SEA	31	816	606	14.6%	14.2%	+0.4%
29	Odyssey Sims MIN/CON	7	133	173	16.1%	15.5%	+0.6%
30	Moriah Jefferson DAL/MIN	30	769	526	16.6%	15.9%	+0.6%
31	Bridget Carleton MIN	35	561	810	16.7%	16.0%	+0.7%
32	Kiah Stokes LVA	30	432	766	12.9%	12.1%	+0.8%
33	Emma Meesseman CHI	36	1028	403	15.7%	14.9%	+0.8%
34	Diana Taurasi PHX	31	958	466	15.4%	14.6%	+0.8%
35	Olivia Nelson-Ododa LAS	30	409	1004	16.2%	15.3%	+0.9%
36	Danielle Robinson IND	31	725	624	16.7%	15.8%	+0.9%
37	Arike Ogunbowale DAL	30	936	491	14.4%	13.5%	+0.9%
38	Naz Hillmon ATL	34	641	770	17.2%	16.2%	+1.0%
39	Jordin Canada LAS	32	858	555	16.0%	15.0%	+1.0%
40	Teaira McCowan DAL	33	628	799	14.6%	13.6%	+1.0%
41	Iliana Rupert LVA	17	210	644	13.2%	12.2%	+1.0%
42	Awak Kuier DAL	33	401	1025	14.8%	13.8%	+1.0%
43	Chelsea Gray LVA	34	1000	355	12.7%	11.6%	+1.1%
44	Jantel Lavender SEA	27	311	1111	15.4%	14.2%	+1.2%
45	Monique Billings ATL	23	395	1017	17.5%	16.3%	+1.2%
46	Jewell Loyd SEA	36	1088	334	14.7%	13.5%	+1.3%
47	Kelsey Mitchell IND	31	1009	420	16.6%	15.4%	+1.3%
48	Skylar Diggins PHX	30	1018	406	15.5%	14.2%	+1.4%
49	Emily Engstler IND	35	632	797	17.0%	15.6%	+1.4%
50	Courtney Vandersloot CHI	32	849	582	16.1%	14.6%	+1.5%

Top team TOV% diff leaders

The current 2022 Season WNBA leaders in team TOV% diff are Lindsay Allen (-3.4%, MIN), Allie Quigley (-2.5%, CHI), Napheesa Collier (-2.5%, MIN), Maya Caldwell (-2.4%, ATL), and Michaela Onyenwere (-1.5%, NYL).

Stat leaders

On/Off

Team TOV% diff

NBA

WNBA

Methodology