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 %

Transition frequency

The league's fast-break shots, plus live-ball turnovers within 6 seconds Learn more

#		Eff	Plays	Pts	TO%	Frequency
1	Gabriela Jaquez CHI	78.1	32	25	18.8%	20.1%
2	Awak Kuier DAL	121.7	23	28	21.7%	19.2%
3	Courtney Williams MIN	102.9	68	70	14.7%	18.4%
4	Jacy Sheldon CHI	116.0	25	29	12.0%	18.0%
5	Emily Engstler PDX	95.0	40	38	32.5%	17.9%
6	Allisha Gray ATL	118.8	69	82	7.2%	17.0%
7	Diamond Miller CON	94.9	39	37	12.8%	16.6%
8	Monique Billings IND	72.7	22	16	22.7%	16.5%
9	Flau'jae Johnson SEA	88.1	59	52	22.0%	15.9%
10	Cotie McMahon WAS	95.7	23	22	17.4%	15.6%
11	Sarah Ashlee Barker PDX	113.5	37	42	10.8%	15.5%
12	DeWanna Bonner PHX	139.4	33	46	12.1%	14.6%
13	Rae Burrell LAS	69.4	36	25	16.7%	14.0%
14	Arike Ogunbowale DAL	91.5	47	43	12.8%	13.9%
15	Maddy Siegrist DAL	87.5	16	14	6.3%	13.4%
16	Jordan Horston SEA	58.8	17	10	35.3%	13.0%
17	Erica Wheeler LAS	81.5	27	22	18.5%	12.9%
18	Ariel Atkins LAS	84.0	25	21	20.0%	12.8%
19	Aziaha James DAL	90.0	20	18	10.0%	12.7%
20	Jackie Young LVA	95.7	46	44	23.9%	12.6%
21	Natasha Howard MIN	88.9	45	40	28.9%	12.4%
22	Kaila Charles GSV	95.5	22	21	31.8%	12.4%
23	Azzi Fudd DAL	151.4	35	53	2.9%	12.3%
24	Kayla McBride MIN	82.9	41	34	14.6%	12.1%
25	Jessica Shepard DAL	136.8	38	52	26.3%	12.1%
26	Marine Johannes NYL	65.4	26	17	34.6%	12.1%
27	Sydney Taylor CHI	129.6	27	35	18.5%	12.1%
28	Kayla Thornton GSV	104.0	25	26	20.0%	11.8%
29	Rhyne Howard ATL	162.8	43	70	9.3%	11.7%
30	Zia Cooke SEA	116.0	25	29	20.0%	11.7%
31	Kahleah Copper PHX	92.7	55	51	14.5%	11.5%
32	Maria Conde TOR	120.0	25	30	24.0%	11.5%
33	Lexie Hull IND	68.8	16	11	18.8%	11.5%
34	Jewell Loyd LVA	105.0	20	21	25.0%	11.4%
35	Angel Reese ATL	89.4	47	42	21.3%	11.4%
36	Dearica Hamby LAS	106.3	32	34	25.0%	11.3%
37	Laura Juskaite TOR	109.1	22	24	22.7%	11.3%
38	Georgia Amoore WAS	52.6	19	10	36.8%	11.1%
39	Sonia Citron WAS	121.2	33	40	21.2%	11.1%
40	Rachel Banham CHI	18.2	11	2	36.4%	11.0%
41	Skylar Diggins CHI	112.5	32	36	15.6%	10.9%
42	Kennedy Burke CON	69.6	23	16	34.8%	10.9%
43	Alyssa Thomas PHX	107.9	38	41	31.6%	10.8%
44	Nneka Ogwumike LAS	126.7	30	38	36.7%	10.5%
45	Bridget Carleton PDX	96.7	30	29	16.7%	10.5%
46	Sophie Cunningham IND	118.8	16	19	18.8%	10.2%
47	Noemie Brochant PHX	123.1	13	16	15.4%	10.2%
48	Raven Johnson IND	66.7	12	8	41.7%	10.1%
49	Lexi Held PHX	192.3	13	25	15.4%	10.0%
50	Pauline Astier NYL	80.0	20	16	35.0%	10.0%

Top transition frequency leaders

The current 2026 Season WNBA leaders in play context transition frequency are Gabriela Jaquez (20.1%, CHI), Awak Kuier (19.2%, DAL), Courtney Williams (18.4%, MIN), Jacy Sheldon (18.0%, CHI), and Emily Engstler (17.9%, PDX).

Stat leaders

Play contexts

Transition frequency

NBA

WNBA

Methodology