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 %

Mid clock turnover %

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

#		Freq	Eff	Plays	Pts	Turnover %
1	Alyssa Thomas CON	51.5%	72.0	275	198	28.4%
2	Haley Jones ATL	57.3%	64.9	134	87	27.6%
3	Julie Vanloo WAS	62.7%	69.9	259	181	25.5%
4	Kalani Brown DAL	64.8%	89.9	138	124	25.4%
5	Courtney Vandersloot NYL	63.9%	78.3	161	126	24.8%
6	Jade Melbourne WAS	60.0%	78.7	141	111	24.8%
7	Jacy Sheldon DAL	66.3%	77.5	187	145	24.1%
8	Sevgi Uzun DAL	64.1%	64.4	180	116	22.8%
9	Caitlin Clark IND	67.2%	91.6	592	542	21.5%
10	Natisha Hiedeman MIN	53.5%	82.9	129	107	20.9%
11	Jordan Horston SEA	53.4%	84.2	158	133	20.9%
12	Monique Billings PHX	55.5%	80.3	178	143	20.2%
13	Kamilla Cardoso CHI	54.4%	92.2	180	166	20.0%
14	Alysha Clark LVA	60.2%	95.5	157	150	19.7%
15	Stefanie Dolson WAS	65.8%	103.8	240	249	19.2%
16	Alanna Smith MIN	62.3%	95.8	261	250	19.2%
17	Natasha Cloud PHX	66.3%	75.6	360	272	18.9%
18	Dearica Hamby LAS	57.9%	90.2	417	376	18.7%
19	Leonie Fiebich NYL	60.1%	95.4	152	145	18.4%
20	Lindsay Allen CHI	60.5%	93.6	187	175	18.2%
21	Teaira McCowan DAL	55.9%	89.8	254	228	18.1%
22	Betnijah Laney-Hamilton NYL	62.3%	87.3	220	192	17.7%
23	Jonquel Jones NYL	61.3%	106.3	318	338	17.6%
24	Naz Hillmon ATL	53.5%	93.4	122	114	17.2%
25	Skylar Diggins SEA	58.7%	85.4	403	344	16.6%
26	Courtney Williams MIN	61.8%	78.4	343	269	16.6%
27	Dorka Juhasz MIN	59.9%	82.5	103	85	16.5%
28	Shatori Walker-Kimbrough WAS	61.5%	86.1	201	173	15.9%
29	Ariel Atkins WAS	67.7%	95.6	428	409	15.7%
30	Crystal Dangerfield LAS	60.4%	59.4	96	57	15.6%
31	Myisha Hines-Allen MIN	55.8%	103.3	183	189	15.3%
32	Isabelle Harrison CHI	60.8%	83.3	180	150	15.0%
33	Michaela Onyenwere CHI	57.7%	82.2	157	129	14.6%
34	Li Yueru LAS	51.5%	95.2	104	99	14.4%
35	Aliyah Boston IND	58.1%	96.1	334	321	14.4%
36	Marina Mabrey CON	61.8%	89.5	392	351	14.3%
37	Aaliyah Edwards WAS	59.5%	97.1	175	170	14.3%
38	Dana Evans CHI	60.7%	82.3	198	163	14.1%
39	Rickea Jackson LAS	61.6%	97.1	340	330	14.1%
40	Kahleah Copper PHX	67.6%	92.7	561	520	13.9%
41	Diamond DeShields CHI	60.7%	63.2	125	79	13.6%
42	Kia Nurse LAS	61.7%	95.2	209	199	13.4%
43	Ezi Magbegor SEA	64.5%	99.3	276	274	13.4%
44	Rae Burrell LAS	65.0%	89.2	158	141	13.3%
45	Lexie Hull IND	50.3%	110.0	90	99	13.3%
46	Jackie Young LVA	62.0%	98.1	371	364	13.2%
47	Kelsey Plum LVA	62.2%	107.4	430	462	13.0%
48	Sabrina Ionescu NYL	65.7%	90.3	497	449	12.7%
49	Kayla McBride MIN	64.5%	104.5	356	372	12.4%
50	Tyasha Harris CON	58.5%	106.0	250	265	12.4%

Top mid clock turnover % leaders

The current 2024 Season WNBA leaders in play context mid clock turnover % are Alyssa Thomas (28.4%, CON), Haley Jones (27.6%, ATL), Julie Vanloo (25.5%, WAS), Kalani Brown (25.4%, DAL), and Courtney Vandersloot (24.8%, NYL).

Stat leaders

Play contexts

Mid clock turnover %

NBA

WNBA

Methodology