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 %

Half court turnover %

All plays besides transition, early offense and putbacks Learn more

#		Freq	Eff	Plays	Pts	Turnover %
1	Stephanie Talbot NYL	80.9%	67.7	127	86	25.2%
2	Myisha Hines-Allen DAL	75.3%	86.4	280	242	23.2%
3	Julie Allemand LAS	71.8%	74.1	158	117	22.2%
4	JJ Quinerly DAL	71.9%	82.1	179	147	21.2%
5	Alyssa Thomas PHX	74.2%	86.9	490	426	20.6%
6	Michaela Onyenwere CHI	79.5%	84.4	225	190	20.4%
7	Chelsea Gray LVA	82.9%	90.5	455	412	20.2%
8	Jade Melbourne WAS	80.7%	80.7	264	213	19.7%
9	Aaliyah Edwards CON	78.5%	76.7	172	132	18.6%
10	Carla Leite GSV	83.2%	81.4	263	214	18.3%
11	Jessica Shepard MIN	70.6%	104.2	214	223	18.2%
12	Sug Sutton WAS	80.7%	84.8	309	262	17.8%
13	Temi Fagbenle GSV	87.1%	84.9	278	236	17.6%
14	Sami Whitcomb PHX	76.2%	83.3	323	269	17.3%
15	Kamilla Cardoso CHI	75.6%	90.4	438	396	17.1%
16	DiJonai Carrington MIN	71.2%	74.6	264	197	17.0%
17	Marine Johannes NYL	80.6%	90.0	250	225	16.4%
18	Veronica Burton GSV	80.6%	92.9	453	421	16.3%
19	Monique Akoa Makani PHX	77.2%	87.3	260	227	16.2%
20	Ariel Atkins CHI	80.0%	88.0	391	344	16.1%
21	Shakira Austin WAS	86.5%	82.5	487	402	16.0%
22	Kia Nurse CHI	79.1%	80.3	295	237	15.6%
23	Natasha Howard IND	68.9%	96.3	350	337	15.4%
24	Emily Engstler WAS	79.4%	76.2	143	109	15.4%
25	Kiki Iriafen WAS	81.0%	88.4	507	448	15.4%
26	Kaila Charles GSV	77.5%	88.4	189	167	15.3%
27	Bria Hartley CON	74.8%	82.5	297	245	14.8%
28	Marina Mabrey CON	83.3%	81.5	519	423	14.8%
29	Brittney Sykes SEA	75.4%	76.6	491	376	14.7%
30	Rebecca Allen CHI	82.4%	72.8	239	174	14.6%
31	Natasha Cloud NYL	77.7%	90.4	355	321	14.6%
32	Maya Caldwell ATL	78.2%	92.5	186	172	14.5%
33	Te-Hina Paopao ATL	82.5%	94.1	221	208	14.5%
34	Dominique Malonga SEA	75.0%	93.7	237	222	14.3%
35	Dearica Hamby LAS	72.2%	103.6	563	583	14.2%
36	Jonquel Jones NYL	80.4%	104.5	332	347	14.2%
37	Alanna Smith MIN	77.0%	99.7	324	323	14.2%
38	Rachel Banham CHI	80.0%	87.6	340	298	14.1%
39	Kelsey Plum LAS	80.7%	97.7	693	677	14.1%
40	Natisha Hiedeman MIN	76.2%	95.0	278	264	14.0%
41	Sonia Citron WAS	78.4%	100.6	493	496	14.0%
42	Jackie Young LVA	74.6%	98.9	525	519	13.7%
43	NaLyssa Smith LVA	76.4%	89.6	278	249	13.7%
44	Damiris Dantas IND	84.5%	82.8	169	140	13.6%
45	Lexi Held PHX	81.9%	86.4	154	133	13.6%
46	Brittney Griner ATL	89.2%	98.3	355	349	13.5%
47	Saniya Rivers CON	80.9%	80.1	342	274	13.5%
48	Skylar Diggins SEA	76.7%	86.6	545	472	13.0%
49	Isabelle Harrison NYL	82.2%	91.4	139	127	12.9%
50	Courtney Williams MIN	75.3%	80.4	530	426	12.8%

Top half court turnover % leaders

The current 2025 Season WNBA leaders in play context half court turnover % are Stephanie Talbot (25.2%, NYL), Myisha Hines-Allen (23.2%, DAL), Julie Allemand (22.2%, LAS), JJ Quinerly (21.2%, DAL), and Alyssa Thomas (20.6%, PHX).

Stat leaders

Play contexts

Half court turnover %

NBA

WNBA

Methodology