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 turnover %

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

#		Freq	Eff	Plays	Pts	Turnover %
1	Shakira Austin WAS	4.8%	92.6	27	25	40.7%
2	Sug Sutton WAS	14.4%	63.6	55	35	40.0%
3	Myisha Hines-Allen DAL	8.3%	67.7	31	21	38.7%
4	Natasha Howard IND	12.6%	71.9	64	46	35.9%
5	Julie Allemand LAS	14.5%	96.9	32	31	34.4%
6	Jonquel Jones NYL	9.9%	97.6	41	40	34.1%
7	Chelsea Gray LVA	9.7%	81.1	53	43	34.0%
8	Rachel Banham CHI	11.3%	93.8	48	45	33.3%
9	Jade Melbourne WAS	11.0%	63.9	36	23	33.3%
10	Janelle Salaun GSV	6.8%	73.3	30	22	33.3%
11	Kamilla Cardoso CHI	5.4%	80.6	31	25	32.3%
12	Aneesah Morrow CON	7.1%	53.8	26	14	30.8%
13	Jessica Shepard MIN	11.2%	105.9	34	36	29.4%
14	Leonie Fiebich NYL	11.8%	77.1	35	27	28.6%
15	Napheesa Collier MIN	7.7%	86.3	51	44	27.5%
16	Kiki Iriafen WAS	6.1%	97.4	38	37	26.3%
17	Lexie Hull IND	14.3%	92.0	50	46	26.0%
18	Dearica Hamby LAS	14.0%	102.8	109	112	25.7%
19	Marine Johannes NYL	12.6%	112.8	39	44	25.6%
20	Natasha Cloud NYL	12.9%	101.7	59	60	25.4%
21	Kelsey Plum LAS	11.1%	94.7	95	90	25.3%
22	Bria Hartley CON	18.1%	84.7	72	61	25.0%
23	Paige Bueckers DAL	9.0%	105.0	60	63	23.3%
24	Bridget Carleton MIN	14.9%	125.0	44	55	22.7%
25	Ariel Atkins CHI	11.9%	112.1	58	65	22.4%
26	Azura Stevens LAS	10.1%	137.0	54	74	22.2%
27	Alanna Smith MIN	14.3%	85.0	60	51	21.7%
28	Dominique Malonga SEA	11.7%	110.8	37	41	21.6%
29	Alyssa Thomas PHX	17.3%	107.0	114	122	21.1%
30	Satou Sabally PHX	11.4%	82.9	76	63	21.1%
31	Maya Caldwell ATL	10.1%	87.5	24	21	20.8%
32	Sabrina Ionescu NYL	13.8%	114.7	102	117	20.6%
33	Te-Hina Paopao ATL	11.2%	93.3	30	28	20.0%
34	Erica Wheeler SEA	10.5%	98.1	53	52	18.9%
35	JJ Quinerly DAL	14.9%	73.0	37	27	18.9%
36	Kayla McBride MIN	12.1%	96.9	65	63	18.5%
37	NaLyssa Smith LVA	7.4%	100.0	27	27	18.5%
38	Nneka Ogwumike SEA	10.1%	134.2	76	102	18.4%
39	Veronica Burton GSV	11.7%	78.8	66	52	18.2%
40	Sonia Citron WAS	14.9%	119.1	94	112	18.1%
41	Kaila Charles GSV	16.0%	100.0	39	39	17.9%
42	Rickea Jackson LAS	13.5%	100.0	81	81	17.3%
43	Ezi Magbegor SEA	7.9%	103.4	29	30	17.2%
44	Courtney Williams MIN	16.3%	113.0	115	130	16.5%
45	Gabby Williams SEA	17.9%	115.4	104	120	16.3%
46	Carla Leite GSV	9.8%	90.3	31	28	16.1%
47	Tina Charles CON	6.6%	118.0	50	59	16.0%
48	DeWanna Bonner PHX	9.9%	103.1	32	33	15.6%
49	Brittney Sykes SEA	17.1%	106.3	111	118	15.3%
50	Saniya Rivers CON	10.9%	130.4	46	60	15.2%

Top transition turnover % leaders

The current 2025 Season WNBA leaders in play context transition turnover % are Shakira Austin (40.7%, WAS), Sug Sutton (40.0%, WAS), Myisha Hines-Allen (38.7%, DAL), Natasha Howard (35.9%, IND), and Julie Allemand (34.4%, LAS).

Stat leaders

Play contexts

Transition turnover %

NBA

WNBA

Methodology