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 efficiency

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

#		Freq	Plays	Pts	TO%	Efficiency
1	Bridget Carleton MIN	58.5%	197	234	10.7%	118.8
2	Brittney Griner PHX	67.6%	322	381	11.2%	118.3
3	Tiffany Hayes LVA	62.2%	173	197	9.8%	113.9
4	Emily Engstler WAS	56.3%	99	112	10.1%	113.1
5	Sophie Cunningham PHX	57.9%	176	198	9.1%	112.5
6	Kelsey Mitchell IND	61.0%	434	487	8.1%	112.2
7	A'ja Wilson LVA	66.0%	603	675	4.6%	111.9
8	Lexie Hull IND	50.3%	90	99	13.3%	110.0
9	Kelsey Plum LVA	62.2%	430	462	13.0%	107.4
10	Jonquel Jones NYL	61.3%	318	338	17.6%	106.3
11	Tyasha Harris CON	58.5%	250	265	12.4%	106.0
12	Breanna Stewart NYL	58.7%	442	464	8.6%	105.0
13	Nneka Ogwumike SEA	63.9%	373	391	8.6%	104.8
14	Brionna Jones CON	60.1%	315	330	10.5%	104.8
15	Kayla McBride MIN	64.5%	356	372	12.4%	104.5
16	Stefanie Dolson WAS	65.8%	240	249	19.2%	103.8
17	Myisha Hines-Allen MIN	55.8%	183	189	15.3%	103.3
18	Rachel Banham CHI	58.1%	129	132	7.0%	102.3
19	Napheesa Collier MIN	63.6%	436	446	8.5%	102.3
20	Diana Taurasi PHX	67.0%	367	375	10.6%	102.2
21	Ezi Magbegor SEA	64.5%	276	274	13.4%	99.3
22	Jackie Young LVA	62.0%	371	364	13.2%	98.1
23	DeWanna Bonner CON	59.9%	376	365	9.6%	97.1
24	Chennedy Carter CHI	63.6%	379	368	8.4%	97.1
25	Rickea Jackson LAS	61.6%	340	330	14.1%	97.1
26	Aaliyah Edwards WAS	59.5%	175	170	14.3%	97.1
27	Karlie Samuelson WAS	67.5%	158	153	10.8%	96.8
28	Rhyne Howard ATL	57.5%	324	312	8.6%	96.3
29	Aliyah Boston IND	58.1%	334	321	14.4%	96.1
30	Alanna Smith MIN	62.3%	261	250	19.2%	95.8
31	NaLyssa Smith IND	58.1%	265	254	12.1%	95.8
32	Ariel Atkins WAS	67.7%	428	409	15.7%	95.6
33	Alysha Clark LVA	60.2%	157	150	19.7%	95.5
34	Leonie Fiebich NYL	60.1%	152	145	18.4%	95.4
35	Kia Nurse LAS	61.7%	209	199	13.4%	95.2
36	Li Yueru LAS	51.5%	104	99	14.4%	95.2
37	Kayla Thornton NYL	62.6%	144	136	10.4%	94.4
38	Lindsay Allen CHI	60.5%	187	175	18.2%	93.6
39	Naz Hillmon ATL	53.5%	122	114	17.2%	93.4
40	Arike Ogunbowale DAL	57.2%	519	482	10.6%	92.9
41	Kahleah Copper PHX	67.6%	561	520	13.9%	92.7
42	Jewell Loyd SEA	66.1%	540	500	9.3%	92.6
43	Kamilla Cardoso CHI	54.4%	180	166	20.0%	92.2
44	DiJonai Carrington CON	46.8%	267	245	12.0%	91.8
45	Caitlin Clark IND	67.2%	592	542	21.5%	91.6
46	Allisha Gray ATL	54.9%	361	328	11.6%	90.9
47	Sabrina Ionescu NYL	65.7%	497	449	12.7%	90.3
48	Dearica Hamby LAS	57.9%	417	376	18.7%	90.2
49	Kalani Brown DAL	64.8%	138	124	25.4%	89.9
50	Teaira McCowan DAL	55.9%	254	228	18.1%	89.8

Top mid clock efficiency leaders

The current 2024 Season WNBA leaders in play context mid clock efficiency are Bridget Carleton (118.8, MIN), Brittney Griner (118.3, PHX), Tiffany Hayes (113.9, LVA), Emily Engstler (113.1, WAS), and Sophie Cunningham (112.5, PHX).

Stat leaders

Play contexts

Mid clock efficiency

NBA

WNBA

Methodology