Stat leaders

Traditional Advanced Scoring Play contexts On/Off Clutch High Leverage Lineups

Play contexts

Transition frequency Transition efficiency Transition turnover %Early offense frequency Early offense efficiency Early offense turnover %Putbacks frequency Putbacks efficiency Putbacks turnover %Half court frequency Half court efficiency Half court turnover %Mid clock frequency Mid clock efficiency Mid clock turnover %Late clock frequency Late clock efficiency Late clock turnover %

Early offense turnover %

First 8 seconds of a dead-ball possession Learn more

#		Freq	Eff	Plays	Pts	Turnover %
1	Ariel Atkins LAS	5.6%	0.0	11	0	36.4%
2	Carla Leite PDX	4.3%	100.0	14	14	35.7%
3	Charlisse Leger-Walker CON	8.4%	64.7	17	11	35.3%
4	Natasha Cloud CHI	7.1%	73.3	15	11	33.3%
5	Marina Mabrey TOR	4.7%	100.0	20	20	25.0%
6	Pauline Astier NYL	8.0%	150.0	16	24	25.0%
7	Aliyah Boston IND	3.6%	83.3	12	10	25.0%
8	Saniya Rivers CON	6.2%	76.9	13	10	23.1%
9	Natisha Hiedeman SEA	5.1%	84.2	19	16	21.1%
10	Erica Wheeler LAS	7.1%	93.3	15	14	20.0%
11	Sydney Taylor CHI	6.7%	73.3	15	11	20.0%
12	Kahleah Copper PHX	5.5%	92.3	26	24	19.2%
13	Caitlin Clark IND	6.7%	129.6	27	35	18.5%
14	Skylar Diggins CHI	6.5%	110.5	19	21	15.8%
15	Kelsey Mitchell IND	7.7%	123.5	34	42	14.7%
16	Jade Melbourne SEA	6.6%	78.6	14	11	14.3%
17	Olivia Miles MIN	3.8%	100.0	14	14	14.3%
18	Rhyne Howard ATL	4.9%	172.2	18	31	11.1%
19	Sonia Citron WAS	7.4%	145.5	22	32	9.1%
20	Jordin Canada ATL	8.5%	104.3	23	24	8.7%
21	Allisha Gray ATL	4.4%	133.3	18	24	5.6%

Top early offense turnover % leaders

The current 2026 Season WNBA leaders in play context early offense turnover % are Ariel Atkins (36.4%, LAS), Carla Leite (35.7%, PDX), Charlisse Leger-Walker (35.3%, CON), Natasha Cloud (33.3%, CHI), and Marina Mabrey (25.0%, TOR).

Stat leaders

Play contexts

Early offense turnover %

NBA

WNBA

Methodology