Stat leaders

Play contexts

Min. 3 GP (10% of team's games) Relax qualifiers

Early offense frequency

First 8 seconds of a dead-ball possession Learn more

#		Eff	PPG	Plays	Pts	TO%	Frequency
1	Justine Pissott LVA	100.0	0.7	2	2	0.0%	13.3%
2	Tyasha Harris IND	63.6	0.3	11	7	27.3%	10.4%
3	Jordin Canada ATL	103.2	1.2	31	32	12.9%	9.4%
4	Jade Melbourne SEA	69.6	0.6	23	16	8.7%	8.7%
5	Odyssey Sims DAL	133.3	0.7	9	12	11.1%	8.1%
6	Lexie Hull IND	100.0	0.5	13	13	7.7%	8.0%
7	Sonia Citron WAS	130.0	1.7	30	39	13.3%	7.8%
8	Erica Wheeler LAS	100.0	0.8	22	22	22.7%	7.5%
9	Kelsey Mitchell IND	131.7	2.0	41	54	14.6%	7.5%
10	Charlisse Leger-Walker CON	77.8	0.5	18	14	33.3%	7.4%
11	Pauline Astier NYL	144.4	1.0	18	26	27.8%	7.2%
12	Caitlin Clark IND	116.7	1.8	36	42	22.2%	7.0%
13	Chloe Bibby CHI	0.0	0.0	1	0	0.0%	6.7%
14	Skylar Diggins CHI	110.5	1.1	19	21	15.8%	6.5%
15	Chennedy Carter LVA	62.5	0.4	8	5	12.5%	6.5%
16	Sydney Taylor CHI	104.8	0.9	21	22	14.3%	6.4%
17	Saniya Rivers CON	78.6	0.5	14	11	21.4%	6.0%
18	Tiffany Hayes GSV	110.0	0.4	10	11	40.0%	5.7%
19	Natasha Cloud CHI	68.8	0.4	16	11	31.3%	5.7%
20	Cameron Brink LAS	10.0	0.1	10	1	50.0%	5.7%
21	Raven Johnson IND	28.6	0.1	7	2	28.6%	5.7%
22	Betnijah Laney-Hamilton NYL	33.3	0.1	6	2	66.7%	5.6%
23	Sug Sutton DAL	100.0	0.3	4	4	25.0%	5.5%
24	Leila Lacan CON	35.7	0.3	14	5	21.4%	5.4%
25	Hailey Van Lith CON	0.0	0.0	4	0	75.0%	5.2%
26	Kelsey Plum LAS	30.8	0.3	13	4	23.1%	5.1%
27	Ariel Atkins LAS	35.7	0.2	14	5	35.7%	5.1%
28	Dana Evans LVA	0.0	0.0	1	0	0.0%	5.0%
29	Kaitlyn Chen GSV	22.2	0.1	9	2	55.6%	4.9%
30	Alicia Florez WAS	50.0	0.2	6	3	16.7%	4.9%
31	Jewell Loyd LVA	90.0	0.4	10	9	30.0%	4.8%
32	Kahleah Copper PHX	92.6	0.9	27	25	18.5%	4.7%
33	Natisha Hiedeman SEA	72.7	0.6	22	16	22.7%	4.7%
34	Isobel Borlase ATL	116.7	0.3	6	7	0.0%	4.7%
35	Kiki Rice TOR	100.0	0.5	5	5	20.0%	4.7%
36	Julie Allemand TOR	66.7	0.2	6	4	66.7%	4.6%
37	Temi Fagbenle TOR	0.0	0.0	3	0	66.7%	4.6%
38	Brittney Sykes TOR	128.6	1.2	14	18	14.3%	4.6%
39	Aaliyah Edwards CON	88.9	0.4	9	8	44.4%	4.6%
40	Carla Leite PDX	94.7	0.7	19	18	42.1%	4.6%
41	Aziaha James DAL	75.0	0.2	8	6	12.5%	4.6%
42	Marina Mabrey TOR	104.5	0.9	22	23	22.7%	4.3%
43	Rhyne Howard ATL	172.2	1.2	18	31	11.1%	4.3%
44	Emma Cechova MIN	0.0	0.0	1	0	100.0%	4.2%
45	Allisha Gray ATL	142.1	1.0	19	27	5.3%	4.0%
46	Chelsea Gray LVA	121.4	0.7	14	17	21.4%	3.9%
47	Naz Hillmon ATL	166.7	0.6	9	15	0.0%	3.9%
48	Diamond Miller CON	109.1	0.4	11	12	18.2%	3.9%
49	Monique Akoa Makani PHX	100.0	0.4	7	7	14.3%	3.9%
50	Kayla McBride MIN	117.6	0.7	17	20	0.0%	3.8%

Top early offense frequency leaders

The current 2026 Season WNBA leaders in play context early offense frequency are Justine Pissott (13.3%, LVA), Tyasha Harris (10.4%, IND), Jordin Canada (9.4%, ATL), Jade Melbourne (8.7%, SEA), and Odyssey Sims (8.1%, DAL).

Stat leaders

Play contexts

Early offense frequency

NBA

WNBA

Methodology