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 %

Half court turnover %

All plays besides transition, early offense and putbacks Learn more

#		Freq	Eff	Plays	Pts	Turnover %
1	Myisha Hines-Allen IND	83.5%	78.0	91	71	29.7%
2	Georgia Amoore WAS	83.6%	72.0	143	103	24.5%
3	Chelsea Gray LVA	82.2%	84.3	249	210	21.7%
4	Madina Okot ATL	76.9%	102.2	93	95	21.5%
5	Alanna Smith DAL	84.2%	70.6	85	60	21.2%
6	Valeriane Ayayi PHX	80.2%	96.0	101	97	20.8%
7	Alyssa Thomas PHX	80.6%	84.1	283	238	20.5%
8	Carla Leite PDX	85.7%	89.4	282	252	19.9%
9	Caitlin Clark IND	81.6%	82.7	329	272	19.8%
10	Natasha Cloud CHI	82.0%	86.7	173	150	19.7%
11	Jordin Canada ATL	78.7%	84.1	214	180	19.6%
12	Angel Reese ATL	65.7%	74.1	270	200	19.3%
13	Jade Melbourne SEA	83.5%	93.8	177	166	18.6%
14	Erica Wheeler LAS	77.1%	71.0	162	115	18.5%
15	Shakira Austin WAS	86.3%	85.7	259	222	18.5%
16	Cecilia Zandalasini GSV	88.6%	84.7	163	138	18.4%
17	Sarah Ashlee Barker PDX	75.2%	95.5	179	171	18.4%
18	Rachel Banham CHI	79.0%	84.8	79	67	17.7%
19	Marine Johannes NYL	83.3%	94.4	179	169	17.3%
20	Lauren Betts WAS	85.9%	93.6	110	103	17.3%
21	Cotie McMahon WAS	78.9%	80.2	116	93	17.2%
22	Saniya Rivers CON	81.0%	57.6	170	98	17.1%
23	Awa Fam SEA	86.1%	92.2	179	165	16.8%
24	Olivia Miles MIN	84.9%	105.5	310	327	16.5%
25	Natasha Howard MIN	70.7%	102.0	256	261	16.4%
26	Emily Engstler PDX	72.3%	88.9	162	144	16.0%
27	Nell Angloma CON	75.3%	84.3	70	59	15.7%
28	Awak Kuier DAL	75.0%	91.1	90	82	15.6%
29	Natisha Hiedeman SEA	84.0%	97.5	316	308	15.5%
30	Ariel Atkins LAS	76.0%	81.2	149	121	15.4%
31	Laura Juskaite TOR	77.4%	94.7	151	143	15.2%
32	Raven Johnson IND	78.2%	75.3	93	70	15.1%
33	Charlisse Leger-Walker CON	78.3%	83.6	159	133	15.1%
34	Lexi Held PHX	82.3%	80.4	107	86	15.0%
35	Olivia Nelson-Ododa CON	84.3%	105.0	140	147	15.0%
36	Luisa Geiselsoder PDX	93.1%	79.6	108	86	14.8%
37	Rae Burrell LAS	79.8%	98.0	205	201	14.6%
38	Sonia Citron WAS	78.7%	100.0	233	233	14.6%
39	Maria Conde TOR	79.4%	80.9	173	140	14.5%
40	Natasha Mack PHX	75.0%	107.2	111	119	14.4%
41	Pauline Astier NYL	79.6%	105.6	160	169	14.4%
42	Aaliyah Edwards CON	80.1%	94.0	133	125	14.3%
43	Aliyah Boston IND	83.1%	103.6	281	291	14.2%
44	Kennedy Burke CON	75.4%	84.3	159	134	13.8%
45	Diamond Miller CON	74.0%	78.2	174	136	13.8%
46	Kamilla Cardoso CHI	75.5%	107.6	210	226	13.8%
47	Flau'jae Johnson SEA	74.4%	82.2	276	227	13.8%
48	Marina Mabrey TOR	82.4%	103.7	350	363	13.7%
49	Jordan Horston SEA	72.5%	66.3	95	63	13.7%
50	Jacy Sheldon CHI	74.1%	96.1	103	99	13.6%

Top half court turnover % leaders

The current 2026 Season WNBA leaders in play context half court turnover % are Myisha Hines-Allen (29.7%, IND), Georgia Amoore (24.5%, WAS), Chelsea Gray (21.7%, LVA), Madina Okot (21.5%, ATL), and Alanna Smith (21.2%, DAL).

Stat leaders

Play contexts

Half court turnover %

NBA

WNBA

Methodology