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 turnover %

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

#		Freq	Eff	Plays	Pts	Turnover %
1	Myisha Hines-Allen DAL	57.0%	90.6	212	192	24.5%
2	Stephanie Talbot NYL	63.1%	70.7	99	70	24.2%
3	JJ Quinerly DAL	53.0%	81.8	132	108	24.2%
4	Chelsea Gray LVA	59.0%	86.7	324	281	24.1%
5	Julie Allemand LAS	54.1%	84.0	119	100	23.5%
6	Michaela Onyenwere CHI	55.1%	87.8	156	137	23.1%
7	Alyssa Thomas PHX	61.7%	86.7	407	353	22.4%
8	Jade Melbourne WAS	59.3%	89.7	194	174	21.1%
9	Kamilla Cardoso CHI	53.9%	87.2	312	272	20.8%
10	Sug Sutton WAS	62.4%	80.8	239	193	19.2%
11	Temi Fagbenle GSV	55.8%	87.6	178	156	19.1%
12	Shakira Austin WAS	58.4%	89.1	329	293	19.1%
13	Aaliyah Edwards CON	59.8%	77.1	131	101	18.3%
14	Sami Whitcomb PHX	60.1%	81.6	255	208	18.0%
15	Carla Leite GSV	63.9%	78.7	202	159	17.8%
16	Bria Hartley CON	56.9%	84.1	226	190	17.7%
17	Jessica Shepard MIN	49.2%	114.1	149	170	17.4%
18	Monique Akoa Makani PHX	59.6%	97.0	201	195	17.4%
19	Kia Nurse CHI	61.1%	82.0	228	187	17.1%
20	Natasha Howard IND	53.3%	100.0	271	271	17.0%
21	Kiki Iriafen WAS	61.0%	89.0	382	340	17.0%
22	Brittney Griner ATL	60.8%	97.5	242	236	16.9%
23	Maya Caldwell ATL	54.6%	92.3	130	120	16.9%
24	Ariel Atkins CHI	58.3%	94.7	285	270	16.8%
25	Veronica Burton GSV	59.4%	99.1	334	331	16.8%
26	Emily Engstler WAS	59.4%	77.6	107	83	16.8%
27	DiJonai Carrington MIN	55.3%	80.0	205	164	16.6%
28	Marine Johannes NYL	64.2%	89.4	199	178	16.1%
29	Kaila Charles GSV	57.0%	89.2	139	124	15.8%
30	Rachel Banham CHI	61.4%	95.0	261	248	15.7%
31	Brittney Sykes SEA	58.7%	78.0	382	298	15.7%
32	Natisha Hiedeman MIN	56.2%	97.1	205	199	15.6%
33	Lexi Held PHX	61.7%	94.0	116	109	15.5%
34	Elizabeth Williams CHI	56.3%	84.2	234	197	15.4%
35	Erica Wheeler SEA	53.3%	95.9	268	257	15.3%
36	Jackie Young LVA	58.4%	102.7	411	422	15.1%
37	Kelsey Plum LAS	63.3%	97.6	544	531	14.9%
38	Marina Mabrey CON	64.5%	84.1	402	338	14.9%
39	Rebecca Allen CHI	60.7%	85.2	176	150	14.8%
40	Jonquel Jones NYL	65.9%	105.9	272	288	14.7%
41	Te-Hina Paopao ATL	60.8%	98.2	163	160	14.7%
42	Alanna Smith MIN	58.4%	95.9	246	236	14.6%
43	Dominique Malonga SEA	60.8%	92.7	192	178	14.6%
44	Isabelle Harrison NYL	65.7%	88.3	111	98	14.4%
45	Saniya Rivers CON	61.2%	88.4	259	229	14.3%
46	Dearica Hamby LAS	56.0%	105.0	437	459	14.2%
47	Naz Hillmon ATL	64.5%	101.2	242	245	13.6%
48	Sonia Citron WAS	57.4%	104.7	361	378	13.6%
49	Sabrina Ionescu NYL	62.8%	94.4	465	439	13.5%
50	Leonie Fiebich NYL	68.2%	119.8	202	242	13.4%

Top mid clock turnover % leaders

The current 2025 Season WNBA leaders in play context mid clock turnover % are Myisha Hines-Allen (24.5%, DAL), Stephanie Talbot (24.2%, NYL), JJ Quinerly (24.2%, DAL), Chelsea Gray (24.1%, LVA), and Julie Allemand (23.5%, LAS).

Stat leaders

Play contexts

Mid clock turnover %

NBA

WNBA

Methodology