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 frequency

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

#		Eff	Plays	Pts	TO%	Frequency
1	Ariel Atkins WAS	95.6	428	409	15.7%	67.7%
2	Brittney Griner PHX	118.3	322	381	11.2%	67.6%
3	Kahleah Copper PHX	92.7	561	520	13.9%	67.6%
4	Karlie Samuelson WAS	96.8	158	153	10.8%	67.5%
5	Caitlin Clark IND	91.6	592	542	21.5%	67.2%
6	Diana Taurasi PHX	102.2	367	375	10.6%	67.0%
7	Natasha Cloud PHX	75.6	360	272	18.9%	66.3%
8	Jacy Sheldon DAL	77.5	187	145	24.1%	66.3%
9	Jewell Loyd SEA	92.6	540	500	9.3%	66.1%
10	A'ja Wilson LVA	111.9	603	675	4.6%	66.0%
11	Stefanie Dolson WAS	103.8	240	249	19.2%	65.8%
12	Sabrina Ionescu NYL	90.3	497	449	12.7%	65.7%
13	Rae Burrell LAS	89.2	158	141	13.3%	65.0%
14	Kalani Brown DAL	89.9	138	124	25.4%	64.8%
15	Kayla McBride MIN	104.5	356	372	12.4%	64.5%
16	Ezi Magbegor SEA	99.3	276	274	13.4%	64.5%
17	Sevgi Uzun DAL	64.4	180	116	22.8%	64.1%
18	Courtney Vandersloot NYL	78.3	161	126	24.8%	63.9%
19	Nneka Ogwumike SEA	104.8	373	391	8.6%	63.9%
20	Napheesa Collier MIN	102.3	436	446	8.5%	63.6%
21	Chennedy Carter CHI	97.1	379	368	8.4%	63.6%
22	Julie Vanloo WAS	69.9	259	181	25.5%	62.7%
23	Kayla Thornton NYL	94.4	144	136	10.4%	62.6%
24	Betnijah Laney-Hamilton NYL	87.3	220	192	17.7%	62.3%
25	Alanna Smith MIN	95.8	261	250	19.2%	62.3%
26	Tiffany Hayes LVA	113.9	173	197	9.8%	62.2%
27	Kelsey Plum LVA	107.4	430	462	13.0%	62.2%
28	Jackie Young LVA	98.1	371	364	13.2%	62.0%
29	Courtney Williams MIN	78.4	343	269	16.6%	61.8%
30	Marina Mabrey CON	89.5	392	351	14.3%	61.8%
31	Kia Nurse LAS	95.2	209	199	13.4%	61.7%
32	Rickea Jackson LAS	97.1	340	330	14.1%	61.6%
33	Shatori Walker-Kimbrough WAS	86.1	201	173	15.9%	61.5%
34	Jonquel Jones NYL	106.3	318	338	17.6%	61.3%
35	Tina Charles ATL	86.7	391	339	10.7%	61.0%
36	Kelsey Mitchell IND	112.2	434	487	8.1%	61.0%
37	Isabelle Harrison CHI	83.3	180	150	15.0%	60.8%
38	Diamond DeShields CHI	63.2	125	79	13.6%	60.7%
39	Dana Evans CHI	82.3	198	163	14.1%	60.7%
40	Lindsay Allen CHI	93.6	187	175	18.2%	60.5%
41	Crystal Dangerfield LAS	59.4	96	57	15.6%	60.4%
42	Alysha Clark LVA	95.5	157	150	19.7%	60.2%
43	Brionna Jones CON	104.8	315	330	10.5%	60.1%
44	Leonie Fiebich NYL	95.4	152	145	18.4%	60.1%
45	Jade Melbourne WAS	78.7	141	111	24.8%	60.0%
46	DeWanna Bonner CON	97.1	376	365	9.6%	59.9%
47	Dorka Juhasz MIN	82.5	103	85	16.5%	59.9%
48	Sami Whitcomb SEA	79.5	146	116	11.6%	59.8%
49	Aaliyah Edwards WAS	97.1	175	170	14.3%	59.5%
50	Skylar Diggins SEA	85.4	403	344	16.6%	58.7%

Top mid clock frequency leaders

The current 2024 Season WNBA leaders in play context mid clock frequency are Ariel Atkins (67.7%, WAS), Brittney Griner (67.6%, PHX), Kahleah Copper (67.6%, PHX), Karlie Samuelson (67.5%, WAS), and Caitlin Clark (67.2%, IND).

Stat leaders

Play contexts

Mid clock frequency

NBA

WNBA

Methodology