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 frequency

First 8 seconds of a dead-ball possession Learn more

#		Eff	Plays	Pts	TO%	Frequency
1	Crystal Dangerfield LAS	57.1	14	8	21.4%	8.8%
2	Haley Jones ATL	70.0	20	14	40.0%	8.5%
3	Caitlin Clark IND	98.4	61	60	39.3%	6.9%
4	Jade Melbourne WAS	87.5	16	14	31.3%	6.8%
5	Natasha Cloud PHX	108.6	35	38	22.9%	6.4%
6	Rachel Banham CHI	71.4	14	10	14.3%	6.3%
7	Sevgi Uzun DAL	11.8	17	2	70.6%	6.0%
8	Dana Evans CHI	78.9	19	15	31.6%	5.8%
9	Rae Burrell LAS	107.1	14	15	0.0%	5.8%
10	Julie Vanloo WAS	87.0	23	20	26.1%	5.6%
11	Tyasha Harris CON	71.4	21	15	33.3%	4.9%
12	Rhyne Howard ATL	63.0	27	17	3.7%	4.8%
13	Kia Nurse LAS	93.8	16	15	31.3%	4.7%
14	Kelsey Plum LVA	78.1	32	25	21.9%	4.6%
15	Skylar Diggins SEA	83.9	31	26	19.4%	4.5%
16	Courtney Vandersloot NYL	63.6	11	7	27.3%	4.4%
17	Arike Ogunbowale DAL	66.7	39	26	17.9%	4.3%
18	Sophie Cunningham PHX	84.6	13	11	23.1%	4.3%
19	Jacy Sheldon DAL	100.0	12	12	25.0%	4.3%
20	Sabrina Ionescu NYL	66.7	30	20	20.0%	4.0%
21	Jackie Young LVA	87.5	24	21	20.8%	4.0%
22	Kelsey Mitchell IND	92.9	28	26	14.3%	3.9%
23	Jewell Loyd SEA	125.8	31	39	9.7%	3.8%
24	Breanna Stewart NYL	110.7	28	31	14.3%	3.7%
25	Sami Whitcomb SEA	33.3	9	3	55.6%	3.7%
26	Myisha Hines-Allen MIN	58.3	12	7	41.7%	3.7%
27	Ariel Atkins WAS	52.2	23	12	21.7%	3.6%
28	Kamilla Cardoso CHI	58.3	12	7	16.7%	3.6%
29	Kahleah Copper PHX	127.6	29	37	13.8%	3.5%
30	Dorka Juhasz MIN	83.3	6	5	16.7%	3.5%
31	Lexie Hull IND	116.7	6	7	0.0%	3.4%
32	Aaliyah Edwards WAS	40.0	10	4	60.0%	3.4%
33	Lindsay Allen CHI	100.0	10	10	20.0%	3.2%
34	Kayla McBride MIN	52.9	17	9	41.2%	3.1%
35	Shatori Walker-Kimbrough WAS	60.0	10	6	20.0%	3.1%
36	NaLyssa Smith IND	114.3	14	16	7.1%	3.1%
37	Marina Mabrey CON	68.4	19	13	21.1%	3.0%
38	Diana Taurasi PHX	18.8	16	3	25.0%	2.9%
39	Courtney Williams MIN	43.8	16	7	31.3%	2.9%
40	Natisha Hiedeman MIN	14.3	7	1	42.9%	2.9%
41	Betnijah Laney-Hamilton NYL	40.0	10	4	40.0%	2.8%
42	Monique Billings PHX	55.6	9	5	44.4%	2.8%
43	Stefanie Dolson WAS	50.0	10	5	70.0%	2.7%
44	Rickea Jackson LAS	86.7	15	13	33.3%	2.7%
45	Napheesa Collier MIN	88.2	17	15	11.8%	2.5%
46	Li Yueru LAS	120.0	5	6	40.0%	2.5%
47	Dearica Hamby LAS	41.2	17	7	23.5%	2.4%
48	Allisha Gray ATL	81.3	16	13	6.3%	2.4%
49	Diamond DeShields CHI	120.0	5	6	0.0%	2.4%
50	Jordan Horston SEA	0.0	7	0	57.1%	2.4%

Top early offense frequency leaders

The current 2024 Season WNBA leaders in play context early offense frequency are Crystal Dangerfield (8.8%, LAS), Haley Jones (8.5%, ATL), Caitlin Clark (6.9%, IND), Jade Melbourne (6.8%, WAS), and Natasha Cloud (6.4%, PHX).

Stat leaders

Play contexts

Early offense frequency

NBA

WNBA

Methodology