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 %

Late clock frequency

A half court play with less than 4 seconds on the shot clock Learn more

#		Eff	Plays	Pts	TO%	Frequency
1	Isabelle Harrison CHI	58.1	74	43	8.1%	25.0%
2	Michaela Onyenwere CHI	79.4	68	54	16.2%	25.0%
3	Tyasha Harris CON	72.8	103	75	6.8%	24.1%
4	Brionna Jones CON	87.9	124	109	6.5%	23.7%
5	Natisha Hiedeman MIN	61.4	57	35	8.8%	23.7%
6	Aliyah Boston IND	87.7	130	114	11.5%	22.6%
7	Dana Evans CHI	65.3	72	47	13.9%	22.1%
8	Dorka Juhasz MIN	102.6	38	39	0.0%	22.1%
9	Li Yueru LAS	68.2	44	30	6.8%	21.8%
10	Rhyne Howard ATL	84.6	123	104	8.9%	21.8%
11	Lexie Hull IND	82.1	39	32	20.5%	21.8%
12	Naz Hillmon ATL	110.2	49	54	10.2%	21.5%
13	Brittney Griner PHX	101.0	102	103	7.8%	21.4%
14	Rickea Jackson LAS	67.2	116	78	11.2%	21.0%
15	DeWanna Bonner CON	74.8	131	98	8.4%	20.9%
16	Alysha Clark LVA	88.9	54	48	13.0%	20.7%
17	Haley Jones ATL	64.6	48	31	18.8%	20.5%
18	Alyssa Thomas CON	67.0	109	73	24.8%	20.4%
19	Lindsay Allen CHI	63.5	63	40	14.3%	20.4%
20	DiJonai Carrington CON	64.7	116	75	13.8%	20.3%
21	Allisha Gray ATL	92.4	132	122	6.1%	20.1%
22	Stefanie Dolson WAS	89.0	73	65	6.8%	20.0%
23	Julie Vanloo WAS	61.7	81	50	21.0%	19.6%
24	Myisha Hines-Allen MIN	82.5	63	52	11.1%	19.2%
25	Dearica Hamby LAS	94.1	135	127	9.6%	18.8%
26	Tina Charles ATL	86.4	118	102	4.2%	18.4%
27	Marina Mabrey CON	87.1	116	101	10.3%	18.3%
28	Bridget Carleton MIN	88.5	61	54	9.8%	18.1%
29	Tiffany Hayes LVA	92.0	50	46	4.0%	18.0%
30	Alanna Smith MIN	58.7	75	44	20.0%	17.9%
31	Kayla Thornton NYL	75.6	41	31	0.0%	17.8%
32	Jackie Young LVA	74.0	104	77	9.6%	17.4%
33	Jade Melbourne WAS	63.4	41	26	19.5%	17.4%
34	NaLyssa Smith IND	57.0	79	45	6.3%	17.3%
35	Natasha Cloud PHX	98.9	93	92	19.4%	17.1%
36	Rachel Banham CHI	71.1	38	27	5.3%	17.1%
37	Nneka Ogwumike SEA	85.9	99	85	5.1%	17.0%
38	Arike Ogunbowale DAL	81.8	154	126	7.8%	17.0%
39	Emily Engstler WAS	93.3	30	28	16.7%	17.0%
40	Aaliyah Edwards WAS	74.0	50	37	14.0%	17.0%
41	Kelsey Plum LVA	61.5	117	72	13.7%	16.9%
42	Ariel Atkins WAS	98.1	106	104	6.6%	16.8%
43	Ezi Magbegor SEA	98.6	72	71	8.3%	16.8%
44	Breanna Stewart NYL	82.5	126	104	2.4%	16.7%
45	Sevgi Uzun DAL	42.6	47	20	14.9%	16.7%
46	Monique Billings PHX	83.0	53	44	13.2%	16.5%
47	Teaira McCowan DAL	88.0	75	66	21.3%	16.5%
48	Jonquel Jones NYL	123.5	85	105	10.6%	16.4%
49	A'ja Wilson LVA	97.3	150	146	4.7%	16.4%
50	Angel Reese CHI	61.7	94	58	11.7%	16.4%

Top late clock frequency leaders

The current 2024 Season WNBA leaders in play context late clock frequency are Isabelle Harrison (25.0%, CHI), Michaela Onyenwere (25.0%, CHI), Tyasha Harris (24.1%, CON), Brionna Jones (23.7%, CON), and Natisha Hiedeman (23.7%, MIN).

Stat leaders

Play contexts

Late clock frequency

NBA

WNBA

Methodology