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	Leonie Fiebich NYL	68.2%	202	242	13.4%	119.8
2	Napheesa Collier MIN	68.5%	453	533	8.6%	117.7
3	Jessica Shepard MIN	49.2%	149	170	17.4%	114.1
4	DeWanna Bonner PHX	58.4%	188	211	8.0%	112.2
5	Allisha Gray ATL	55.2%	395	441	10.9%	111.6
6	Kelsey Mitchell IND	62.1%	524	564	10.7%	107.6
7	A'ja Wilson LVA	65.4%	568	606	9.7%	106.7
8	Jonquel Jones NYL	65.9%	272	288	14.7%	105.9
9	Dearica Hamby LAS	56.0%	437	459	14.2%	105.0
10	Sonia Citron WAS	57.4%	361	378	13.6%	104.7
11	Aliyah Boston IND	65.3%	426	445	12.9%	104.5
12	Kayla McBride MIN	66.6%	359	374	13.1%	104.2
13	Paige Bueckers DAL	63.1%	423	435	10.2%	102.8
14	Jackie Young LVA	58.4%	411	422	15.1%	102.7
15	Kennedy Burke NYL	61.0%	163	167	11.7%	102.5
16	Brionna Jones ATL	59.5%	326	333	12.6%	102.1
17	Satou Sabally PHX	62.2%	415	422	10.6%	101.7
18	Nneka Ogwumike SEA	63.0%	474	480	11.6%	101.3
19	Naz Hillmon ATL	64.5%	242	245	13.6%	101.2
20	Azura Stevens LAS	60.9%	326	328	9.2%	100.6
21	Natasha Howard IND	53.3%	271	271	17.0%	100.0
22	Ezi Magbegor SEA	62.4%	229	228	10.9%	99.6
23	Veronica Burton GSV	59.4%	334	331	16.8%	99.1
24	Te-Hina Paopao ATL	60.8%	163	160	14.7%	98.2
25	Kelsey Plum LAS	63.3%	544	531	14.9%	97.6
26	Brittney Griner ATL	60.8%	242	236	16.9%	97.5
27	Natisha Hiedeman MIN	56.2%	205	199	15.6%	97.1
28	Li Yueru DAL	65.2%	133	129	12.8%	97.0
29	Rhyne Howard ATL	55.6%	335	325	10.7%	97.0
30	Monique Akoa Makani PHX	59.6%	201	195	17.4%	97.0
31	Breanna Stewart NYL	61.2%	341	330	11.7%	96.8
32	Janelle Salaun GSV	66.1%	292	281	10.6%	96.2
33	Erica Wheeler SEA	53.3%	268	257	15.3%	95.9
34	Alanna Smith MIN	58.4%	246	236	14.6%	95.9
35	Bridget Carleton MIN	56.3%	166	158	7.8%	95.2
36	Rachel Banham CHI	61.4%	261	248	15.7%	95.0
37	Olivia Nelson-Ododa CON	59.7%	179	170	12.8%	95.0
38	Ariel Atkins CHI	58.3%	285	270	16.8%	94.7
39	Sabrina Ionescu NYL	62.8%	465	439	13.5%	94.4
40	Lexi Held PHX	61.7%	116	109	15.5%	94.0
41	Natasha Cloud NYL	61.9%	283	265	13.1%	93.6
42	Jewell Loyd LVA	59.0%	301	281	11.0%	93.4
43	Dominique Malonga SEA	60.8%	192	178	14.6%	92.7
44	Maya Caldwell ATL	54.6%	130	120	16.9%	92.3
45	Rickea Jackson LAS	61.0%	366	337	12.0%	92.1
46	NaLyssa Smith LVA	59.3%	216	198	13.4%	91.7
47	Dana Evans LVA	62.4%	191	175	9.9%	91.6
48	Lexie Hull IND	54.4%	190	173	8.4%	91.1
49	Myisha Hines-Allen DAL	57.0%	212	192	24.5%	90.6
50	Skylar Diggins SEA	58.6%	417	374	12.2%	89.7

Top mid clock efficiency leaders

The current 2025 Season WNBA leaders in play context mid clock efficiency are Leonie Fiebich (119.8, NYL), Napheesa Collier (117.7, MIN), Jessica Shepard (114.1, MIN), DeWanna Bonner (112.2, PHX), and Allisha Gray (111.6, ATL).

Stat leaders

Play contexts

Mid clock efficiency

NBA

WNBA

Methodology