Stat leaders

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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 %

Mid clock frequency

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

#		Eff	Plays	Pts	TO%	Frequency
1	Napheesa Collier MIN	117.7	453	533	8.6%	68.5%
2	Leonie Fiebich NYL	119.8	202	242	13.4%	68.2%
3	Kitija Laksa PHX	89.2	139	124	9.4%	68.1%
4	Kayla McBride MIN	104.2	359	374	13.1%	66.6%
5	Janelle Salaun GSV	96.2	292	281	10.6%	66.1%
6	Jonquel Jones NYL	105.9	272	288	14.7%	65.9%
7	Isabelle Harrison NYL	88.3	111	98	14.4%	65.7%
8	Tina Charles CON	85.0	500	425	11.2%	65.5%
9	A'ja Wilson LVA	106.7	568	606	9.7%	65.4%
10	Aliyah Boston IND	104.5	426	445	12.9%	65.3%
11	Li Yueru DAL	97.0	133	129	12.8%	65.2%
12	Marina Mabrey CON	84.1	402	338	14.9%	64.5%
13	Naz Hillmon ATL	101.2	242	245	13.6%	64.5%
14	Marine Johannes NYL	89.4	199	178	16.1%	64.2%
15	Carla Leite GSV	78.7	202	159	17.8%	63.9%
16	Kelsey Plum LAS	97.6	544	531	14.9%	63.3%
17	Stephanie Talbot NYL	70.7	99	70	24.2%	63.1%
18	Paige Bueckers DAL	102.8	423	435	10.2%	63.1%
19	Nneka Ogwumike SEA	101.3	474	480	11.6%	63.0%
20	Courtney Williams MIN	80.5	442	356	13.3%	62.8%
21	Sabrina Ionescu NYL	94.4	465	439	13.5%	62.8%
22	Ezi Magbegor SEA	99.6	229	228	10.9%	62.4%
23	Sug Sutton WAS	80.8	239	193	19.2%	62.4%
24	Dana Evans LVA	91.6	191	175	9.9%	62.4%
25	Satou Sabally PHX	101.7	415	422	10.6%	62.2%
26	Kelsey Mitchell IND	107.6	524	564	10.7%	62.1%
27	Natasha Cloud NYL	93.6	283	265	13.1%	61.9%
28	Alyssa Thomas PHX	86.7	407	353	22.4%	61.7%
29	Lexi Held PHX	94.0	116	109	15.5%	61.7%
30	Aaliyah Nye LVA	83.3	120	100	10.8%	61.5%
31	Rachel Banham CHI	95.0	261	248	15.7%	61.4%
32	Breanna Stewart NYL	96.8	341	330	11.7%	61.2%
33	Saniya Rivers CON	88.4	259	229	14.3%	61.2%
34	Kia Nurse CHI	82.0	228	187	17.1%	61.1%
35	Kennedy Burke NYL	102.5	163	167	11.7%	61.0%
36	Rickea Jackson LAS	92.1	366	337	12.0%	61.0%
37	Kiki Iriafen WAS	89.0	382	340	17.0%	61.0%
38	Azura Stevens LAS	100.6	326	328	9.2%	60.9%
39	Brittney Griner ATL	97.5	242	236	16.9%	60.8%
40	Dominique Malonga SEA	92.7	192	178	14.6%	60.8%
41	Te-Hina Paopao ATL	98.2	163	160	14.7%	60.8%
42	Rebecca Allen CHI	85.2	176	150	14.8%	60.7%
43	Sami Whitcomb PHX	81.6	255	208	18.0%	60.1%
44	Damiris Dantas IND	85.8	120	103	13.3%	60.0%
45	Aaliyah Edwards CON	77.1	131	101	18.3%	59.8%
46	Olivia Nelson-Ododa CON	95.0	179	170	12.8%	59.7%
47	Monique Akoa Makani PHX	97.0	201	195	17.4%	59.6%
48	Brionna Jones ATL	102.1	326	333	12.6%	59.5%
49	Veronica Burton GSV	99.1	334	331	16.8%	59.4%
50	Emily Engstler WAS	77.6	107	83	16.8%	59.4%

Top mid clock frequency leaders

The current 2025 Season WNBA leaders in play context mid clock frequency are Napheesa Collier (68.5%, MIN), Leonie Fiebich (68.2%, NYL), Kitija Laksa (68.1%, PHX), Kayla McBride (66.6%, MIN), and Janelle Salaun (66.1%, GSV).

Stat leaders

Play contexts

Mid clock frequency

NBA

WNBA

Methodology