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	DiJonai Carrington CON	97.8	135	132	15.6%	23.6%
2	Jordan Horston SEA	76.8	56	43	33.9%	18.9%
3	Diamond DeShields CHI	108.1	37	40	16.2%	18.0%
4	Chennedy Carter CHI	116.3	104	121	15.4%	17.4%
5	Natisha Hiedeman MIN	107.3	41	44	17.1%	17.0%
6	Arike Ogunbowale DAL	97.4	153	149	19.0%	16.9%
7	Skylar Diggins SEA	111.3	115	128	11.3%	16.8%
8	Shatori Walker-Kimbrough WAS	127.8	54	69	24.1%	16.5%
9	Alyssa Thomas CON	103.4	87	90	27.6%	16.3%
10	Bridget Carleton MIN	87.3	55	48	20.0%	16.3%
11	Leonie Fiebich NYL	142.5	40	57	10.0%	15.8%
12	Sami Whitcomb SEA	118.9	37	44	24.3%	15.2%
13	Lexie Hull IND	85.2	27	23	14.8%	15.1%
14	Courtney Williams MIN	92.8	83	77	21.7%	15.0%
15	Alysha Clark LVA	94.9	39	37	28.2%	14.9%
16	Jackie Young LVA	120.2	89	107	14.6%	14.9%
17	Sophie Cunningham PHX	95.6	45	43	28.9%	14.8%
18	Allisha Gray ATL	101.0	97	98	15.5%	14.7%
19	Alanna Smith MIN	124.6	61	76	11.5%	14.6%
20	Betnijah Laney-Hamilton NYL	125.5	51	64	21.6%	14.4%
21	Kelsey Mitchell IND	121.8	101	123	11.9%	14.2%
22	Caitlin Clark IND	72.4	123	89	35.8%	14.0%
23	Courtney Vandersloot NYL	91.4	35	32	22.9%	13.9%
24	Breanna Stewart NYL	116.2	105	122	19.0%	13.9%
25	Jade Melbourne WAS	106.3	32	34	25.0%	13.6%
26	Kelsey Plum LVA	96.8	93	90	15.1%	13.5%
27	Monique Billings PHX	95.2	42	40	23.8%	13.1%
28	Kahleah Copper PHX	105.6	108	114	13.9%	13.0%
29	Dearica Hamby LAS	108.6	93	101	20.4%	12.9%
30	Kia Nurse LAS	109.3	43	47	18.6%	12.7%
31	Tiffany Hayes LVA	111.4	35	39	8.6%	12.6%
32	Marina Mabrey CON	97.5	79	77	25.3%	12.5%
33	Emily Engstler WAS	86.4	22	19	18.2%	12.5%
34	Rhyne Howard ATL	101.4	69	70	13.0%	12.3%
35	Jacy Sheldon DAL	79.4	34	27	14.7%	12.1%
36	Lindsay Allen CHI	81.1	37	30	40.5%	12.0%
37	Myisha Hines-Allen MIN	79.5	39	31	35.9%	11.9%
38	Diana Taurasi PHX	77.4	62	48	29.0%	11.3%
39	Rachel Banham CHI	48.0	25	12	24.0%	11.3%
40	Haley Jones ATL	65.4	26	17	50.0%	11.1%
41	Sabrina Ionescu NYL	103.6	83	86	20.5%	11.0%
42	Naz Hillmon ATL	112.0	25	28	32.0%	11.0%
43	Jewell Loyd SEA	86.4	88	76	15.9%	10.8%
44	Jonquel Jones NYL	98.2	56	55	32.1%	10.8%
45	Crystal Dangerfield LAS	94.1	17	16	17.6%	10.7%
46	Michaela Onyenwere CHI	103.4	29	30	13.8%	10.7%
47	DeWanna Bonner CON	109.1	66	72	12.1%	10.5%
48	Kayla McBride MIN	113.8	58	66	17.2%	10.5%
49	Rae Burrell LAS	92.0	25	23	28.0%	10.3%
50	Ezi Magbegor SEA	97.6	41	40	22.0%	9.6%

Top transition frequency leaders

The current 2024 Season WNBA leaders in play context transition frequency are DiJonai Carrington (23.6%, CON), Jordan Horston (18.9%, SEA), Diamond DeShields (18.0%, CHI), Chennedy Carter (17.4%, CHI), and Natisha Hiedeman (17.0%, MIN).

Stat leaders

Play contexts

Transition frequency

NBA

WNBA

Methodology