Stat leaders

Play contexts

Min. 3 GP (10% of team's games) , and enough context plays per game for a stable rate Relax qualifiers

Mid clock efficiency

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

#		Freq	PPG	Plays	Pts	TO%	Efficiency
1	Justine Pissott LVA	80.0%	5.7	12	17	8.3%	141.7
2	Sophie Cunningham IND	60.7%	5.7	119	149	13.4%	125.2
3	Megan DiLeo PDX	68.5%	8.8	176	220	4.5%	125.0
4	Kelsey Plum LAS	68.8%	17.8	176	214	14.2%	121.6
5	Pauline Astier NYL	60.2%	6.7	151	180	13.2%	119.2
6	Kelsey Mitchell IND	65.2%	15.7	358	424	8.4%	118.4
7	Monique Billings IND	52.0%	4.2	89	105	6.7%	118.0
8	Olivia Nelson-Ododa CON	67.6%	7.0	142	161	14.1%	113.4
9	Maddy Siegrist DAL	48.9%	3.0	69	78	4.3%	113.0
10	Olivia Miles MIN	69.8%	14.9	344	387	15.1%	112.5
11	Emma Cechova MIN	66.7%	6.0	16	18	12.5%	112.5
12	Jessica Shepard DAL	49.2%	7.6	182	204	14.3%	112.1
13	Kamilla Cardoso CHI	64.9%	9.3	218	243	13.8%	111.5
14	NaLyssa Smith LVA	56.6%	6.1	142	158	9.2%	111.3
15	Sami Whitcomb PHX	62.1%	4.0	18	20	16.7%	111.1
16	Paige Bueckers DAL	67.9%	14.3	323	357	10.8%	110.5
17	Aliyah Boston IND	66.9%	12.4	269	297	15.6%	110.4
18	Brittney Griner CON	64.1%	9.8	143	157	15.4%	109.8
19	Lexie Hull IND	54.9%	3.6	89	96	15.7%	107.9
20	Nneka Ogwumike LAS	66.3%	11.1	258	278	8.5%	107.8
21	Chennedy Carter LVA	62.1%	6.4	77	83	14.3%	107.8
22	Chloe Bibby CHI	86.7%	4.7	13	14	15.4%	107.7
23	Sarah Ashlee Barker PDX	56.6%	6.4	155	167	16.8%	107.7
24	Kayla McBride MIN	64.2%	11.1	289	311	9.7%	107.6
25	A'ja Wilson LVA	64.2%	16.0	359	383	11.4%	106.7
26	Frieda Buhner PDX	67.9%	4.1	93	99	12.9%	106.5
27	Kaitlyn Chen GSV	60.4%	4.3	110	117	14.5%	106.4
28	Sydney Taylor CHI	62.6%	8.8	206	219	10.2%	106.3
29	Courtney Vandersloot CHI	71.4%	6.9	65	69	18.5%	106.2
30	Madina Okot ATL	61.4%	4.0	97	103	19.6%	106.2
31	Tiffany Hayes GSV	62.3%	4.6	109	115	14.7%	105.5
32	Tyasha Harris IND	55.7%	3.0	59	62	10.2%	105.1
33	Nyara Sabally TOR	62.1%	6.9	118	124	10.2%	105.1
34	Jonquel Jones NYL	64.2%	9.3	231	242	13.0%	104.8
35	Veronica Burton GSV	57.6%	7.6	196	205	14.3%	104.6
36	Janelle Salaun GSV	65.2%	7.9	204	213	6.4%	104.4
37	Hailey Van Lith CON	61.0%	4.5	47	49	10.6%	104.3
38	Natasha Howard MIN	54.6%	8.8	238	247	19.3%	103.8
39	Breanna Stewart NYL	63.3%	13.6	341	354	10.6%	103.8
40	Natasha Mack PHX	50.3%	4.3	82	85	20.7%	103.7
41	Kiki Rice TOR	51.4%	5.7	55	57	18.2%	103.6
42	Sonia Citron WAS	58.4%	10.1	226	233	15.5%	103.1
43	Jackie Young LVA	63.8%	10.8	272	280	11.4%	102.9
44	Michaela Onyenwere WAS	57.1%	6.0	129	132	17.1%	102.3
45	Isabelle Harrison TOR	65.3%	8.9	139	142	10.1%	102.2
46	Kiki Iriafen WAS	58.9%	9.1	205	209	9.8%	102.0
47	Bridget Carleton PDX	63.3%	8.5	219	222	9.6%	101.4
48	Marina Mabrey TOR	68.3%	14.3	353	357	15.6%	101.1
49	Nia Coffey MIN	59.3%	4.5	124	125	8.1%	100.8
50	Rickea Jackson CHI	73.1%	14.3	57	57	10.5%	100.0

Top mid clock efficiency leaders

The current 2026 Season WNBA leaders in play context mid clock efficiency are Justine Pissott (141.7, LVA), Sophie Cunningham (125.2, IND), Megan DiLeo (125.0, PDX), Kelsey Plum (121.6, LAS), and Pauline Astier (119.2, NYL).

Stat leaders

Play contexts

Mid clock efficiency

NBA

WNBA

Methodology