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	Bria Hartley CON	84.7	72	61	25.0%	18.1%
2	Gabby Williams SEA	115.4	104	120	16.3%	17.9%
3	Breanna Stewart NYL	121.4	98	119	14.3%	17.6%
4	Alyssa Thomas PHX	107.0	114	122	21.1%	17.3%
5	Brittney Sykes SEA	106.3	111	118	15.3%	17.1%
6	DiJonai Carrington MIN	114.3	63	72	11.1%	17.0%
7	Allisha Gray ATL	114.3	119	136	11.8%	16.6%
8	Courtney Williams MIN	113.0	115	130	16.5%	16.3%
9	Monique Akoa Makani PHX	105.5	55	58	14.5%	16.3%
10	Kaila Charles GSV	100.0	39	39	17.9%	16.0%
11	Natisha Hiedeman MIN	131.0	58	76	13.8%	15.9%
12	Bridget Carleton MIN	125.0	44	55	22.7%	14.9%
13	Sonia Citron WAS	119.1	94	112	18.1%	14.9%
14	JJ Quinerly DAL	73.0	37	27	18.9%	14.9%
15	Skylar Diggins SEA	118.4	103	122	13.6%	14.5%
16	Julie Allemand LAS	96.9	32	31	34.4%	14.5%
17	Sug Sutton WAS	63.6	55	35	40.0%	14.4%
18	Alanna Smith MIN	85.0	60	51	21.7%	14.3%
19	Lexie Hull IND	92.0	50	46	26.0%	14.3%
20	Kathryn Westbeld PHX	100.0	34	34	11.8%	14.2%
21	Aziaha James DAL	95.7	46	44	13.0%	14.1%
22	Dearica Hamby LAS	102.8	109	112	25.7%	14.0%
23	Kia Nurse CHI	113.5	52	59	9.6%	13.9%
24	Sabrina Ionescu NYL	114.7	102	117	20.6%	13.8%
25	Sami Whitcomb PHX	117.2	58	68	10.3%	13.7%
26	Kelsey Mitchell IND	109.6	115	126	7.0%	13.6%
27	Jackie Young LVA	116.7	96	112	13.5%	13.6%
28	Rickea Jackson LAS	100.0	81	81	17.3%	13.5%
29	Kennedy Burke NYL	111.4	35	39	11.4%	13.1%
30	Natasha Cloud NYL	101.7	59	60	25.4%	12.9%
31	Natasha Howard IND	71.9	64	46	35.9%	12.6%
32	Marine Johannes NYL	112.8	39	44	25.6%	12.6%
33	Jewell Loyd LVA	89.1	64	57	12.5%	12.5%
34	Michaela Onyenwere CHI	88.6	35	31	8.6%	12.4%
35	Kayla McBride MIN	96.9	65	63	18.5%	12.1%
36	Ariel Atkins CHI	112.1	58	65	22.4%	11.9%
37	Kitija Laksa PHX	87.5	24	21	12.5%	11.8%
38	Leonie Fiebich NYL	77.1	35	27	28.6%	11.8%
39	Veronica Burton GSV	78.8	66	52	18.2%	11.7%
40	Dominique Malonga SEA	110.8	37	41	21.6%	11.7%
41	Satou Sabally PHX	82.9	76	63	21.1%	11.4%
42	Rachel Banham CHI	93.8	48	45	33.3%	11.3%
43	Aaliyah Nye LVA	86.4	22	19	18.2%	11.3%
44	Jessica Shepard MIN	105.9	34	36	29.4%	11.2%
45	Te-Hina Paopao ATL	93.3	30	28	20.0%	11.2%
46	Kelsey Plum LAS	94.7	95	90	25.3%	11.1%
47	Jade Melbourne WAS	63.9	36	23	33.3%	11.0%
48	Saniya Rivers CON	130.4	46	60	15.2%	10.9%
49	Erica Wheeler SEA	98.1	53	52	18.9%	10.5%
50	Marina Mabrey CON	81.3	64	52	14.1%	10.3%

Top transition frequency leaders

The current 2025 Season WNBA leaders in play context transition frequency are Bria Hartley (18.1%, CON), Gabby Williams (17.9%, SEA), Breanna Stewart (17.6%, NYL), Alyssa Thomas (17.3%, PHX), and Brittney Sykes (17.1%, SEA).

Stat leaders

Play contexts

Transition frequency

NBA

WNBA

Methodology