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 %

Half court efficiency

All plays besides transition, early offense and putbacks Learn more

#		Freq	Plays	Pts	TO%	Efficiency
1	Megan Gustafson PDX	82.3%	177	228	4.5%	128.8
2	Sophie Cunningham IND	77.1%	121	141	11.6%	116.5
3	Jonquel Jones NYL	79.4%	231	264	12.6%	114.3
4	NaLyssa Smith LVA	74.3%	162	183	8.6%	113.0
5	Kelsey Mitchell IND	78.8%	350	390	8.9%	111.4
6	Paige Bueckers DAL	87.3%	359	393	9.5%	109.5
7	Janelle Salaun GSV	86.0%	245	265	6.5%	108.2
8	Kamilla Cardoso CHI	75.5%	210	226	13.8%	107.6
9	Kaitlyn Chen GSV	86.9%	133	143	12.0%	107.5
10	Natasha Mack PHX	75.0%	111	119	14.4%	107.2
11	Monique Billings IND	63.2%	84	90	9.5%	107.1
12	A'ja Wilson LVA	84.6%	402	425	9.7%	105.7
13	Pauline Astier NYL	79.6%	160	169	14.4%	105.6
14	Olivia Miles MIN	84.9%	310	327	16.5%	105.5
15	Lexie Hull IND	68.3%	95	100	11.6%	105.3
16	Olivia Nelson-Ododa CON	84.3%	140	147	15.0%	105.0
17	Jessica Shepard DAL	76.1%	239	248	12.6%	103.8
18	Marina Mabrey TOR	82.4%	350	363	13.7%	103.7
19	Aliyah Boston IND	83.1%	281	291	14.2%	103.6
20	Nia Coffey MIN	79.0%	139	143	5.8%	102.9
21	Sydney Taylor CHI	77.1%	172	176	12.2%	102.3
22	Madina Okot ATL	76.9%	93	95	21.5%	102.2
23	Kayla McBride MIN	75.7%	256	261	10.5%	102.0
24	Natasha Howard MIN	70.7%	256	261	16.4%	102.0
25	Breanna Stewart NYL	82.1%	344	351	9.6%	102.0
26	Nneka Ogwumike LAS	75.2%	215	219	6.0%	101.9
27	Tiffany Hayes GSV	90.5%	143	145	10.5%	101.4
28	Jackie Young LVA	80.9%	296	298	12.8%	100.7
29	Sonia Citron WAS	78.7%	233	233	14.6%	100.0
30	Bridget Carleton PDX	81.8%	233	231	9.4%	99.1
31	Dearica Hamby LAS	73.8%	208	204	12.0%	98.1
32	Rae Burrell LAS	79.8%	205	201	14.6%	98.0
33	Natisha Hiedeman SEA	84.0%	316	308	15.5%	97.5
34	Azzi Fudd DAL	77.9%	222	214	9.0%	96.4
35	Jacy Sheldon CHI	74.1%	103	99	13.6%	96.1
36	Valeriane Ayayi PHX	80.2%	101	97	20.8%	96.0
37	Kahleah Copper PHX	78.8%	376	360	10.6%	95.7
38	Kiki Iriafen WAS	80.2%	210	201	9.0%	95.7
39	Sarah Ashlee Barker PDX	75.2%	179	171	18.4%	95.5
40	Laura Juskaite TOR	77.4%	151	143	15.2%	94.7
41	Marine Johannes NYL	83.3%	179	169	17.3%	94.4
42	Veronica Burton GSV	85.6%	267	252	12.4%	94.4
43	Aaliyah Edwards CON	80.1%	133	125	14.3%	94.0
44	Gabby Williams GSV	86.1%	311	292	9.6%	93.9
45	Gabriela Jaquez CHI	71.7%	114	107	13.2%	93.9
46	Jade Melbourne SEA	83.5%	177	166	18.6%	93.8
47	Allisha Gray ATL	74.0%	301	282	10.3%	93.7
48	Lauren Betts WAS	85.9%	110	103	17.3%	93.6
49	Awa Fam SEA	86.1%	179	165	16.8%	92.2
50	Arike Ogunbowale DAL	76.9%	259	237	7.7%	91.5

Top half court efficiency leaders

The current 2026 Season WNBA leaders in play context half court efficiency are Megan Gustafson (128.8, PDX), Sophie Cunningham (116.5, IND), Jonquel Jones (114.3, NYL), NaLyssa Smith (113.0, LVA), and Kelsey Mitchell (111.4, IND).

Stat leaders

Play contexts

Half court efficiency

NBA

WNBA

Methodology