Stat leaders

On/Off

Min. 24 GP (70% of team's games), 15 MPG Relax qualifiers

Team eFG% diff

Difference in the team's effective field goal % with the player on court vs off Learn more

Min. 24 GP (70% of team's games), 15 MPG

#		GP	On min	Off min	On eFG%	Off eFG%	eFG% Diff
1	Courtney Vandersloot CHI	33	986	345	52.2%	43.5%	+8.7%
2	Allie Quigley CHI	34	962	369	51.6%	45.5%	+6.1%
3	Jonquel Jones CON	34	978	362	49.1%	43.6%	+5.5%
4	Alysha Clark SEA	31	879	463	49.1%	44.1%	+5.0%
5	Shekinna Stricklen CON	34	802	538	49.5%	44.7%	+4.7%
6	Allisha Gray DAL	34	1021	317	44.7%	40.2%	+4.5%
7	Stefanie Dolson CHI	34	844	487	51.6%	47.3%	+4.3%
8	Brittney Sykes ATL	34	877	472	43.2%	38.9%	+4.3%
9	Elena Delle Donne WAS	31	900	428	55.0%	50.9%	+4.1%
10	Napheesa Collier MIN	34	1111	221	50.1%	46.6%	+3.4%
11	Brittney Griner PHX	31	868	223	48.3%	44.9%	+3.4%
12	Sydney Wiese LAS	32	585	662	50.0%	46.6%	+3.4%
13	Kelsey Mitchell IND	34	835	510	47.6%	44.5%	+3.1%
14	Dearica Hamby LVA	34	840	501	47.8%	44.7%	+3.1%
15	Sami Whitcomb SEA	33	667	674	48.9%	45.8%	+3.1%
16	Kelsey Plum LVA	34	869	473	47.7%	44.7%	+3.0%
17	Sylvia Fowles MIN	34	994	338	50.3%	47.3%	+3.0%
18	Natasha Howard SEA	34	1065	276	48.0%	45.1%	+2.9%
19	Ariel Atkins WAS	33	788	540	54.8%	51.9%	+2.8%
20	Damiris Dantas MIN	26	663	630	50.9%	48.1%	+2.8%
21	Yvonne Turner PHX	29	458	565	49.0%	46.3%	+2.7%
22	Jasmine Thomas CON	34	1009	331	48.2%	45.6%	+2.6%
23	Mercedes Russell SEA	34	863	478	48.2%	45.8%	+2.5%
24	Jordin Canada SEA	30	860	481	48.2%	45.8%	+2.4%
25	Liz Cambage LVA	32	798	543	47.6%	45.2%	+2.4%
26	Alyssa Thomas CON	34	1027	313	48.1%	46.0%	+2.1%
27	Danielle Robinson MIN	34	894	439	50.1%	48.1%	+1.9%
28	Monique Billings ATL	29	537	812	42.8%	40.9%	+1.9%
29	Diamond DeShields CHI	34	1016	315	50.4%	48.6%	+1.9%
30	Erica Wheeler IND	34	840	504	47.2%	45.3%	+1.8%
31	Kaela Davis DAL	33	630	708	44.5%	42.8%	+1.6%
32	Brianna Turner PHX	29	386	705	48.4%	47.0%	+1.5%
33	Nneka Ogwumike LAS	32	856	391	48.7%	47.3%	+1.4%
34	Aerial Powers WAS	30	582	746	54.4%	53.0%	+1.4%
35	Glory Johnson DAL	28	670	430	44.3%	43.0%	+1.3%
36	Maite Cazorla ATL	31	464	885	42.4%	41.3%	+1.1%
37	Courtney Williams CON	34	979	361	47.9%	46.8%	+1.1%
38	Tiffany Hayes ATL	29	817	531	42.0%	41.2%	+0.8%
39	LaToya Sanders WAS	34	797	530	53.9%	53.2%	+0.7%
40	A'ja Wilson LVA	26	738	604	46.9%	46.3%	+0.6%
41	Teaira McCowan IND	34	739	605	46.7%	46.1%	+0.6%
42	Rebecca Allen NYL	24	407	893	46.5%	46.0%	+0.6%
43	Tanisha Wright NYL	31	612	725	46.4%	45.9%	+0.5%
44	Brittany Boyd-Jones NYL	33	636	701	46.4%	45.9%	+0.5%
45	Odyssey Sims MIN	34	1071	262	49.5%	49.1%	+0.4%
46	Tierra Ruffin-Pratt LAS	34	810	437	48.4%	48.0%	+0.4%
47	Renee Montgomery ATL	34	945	403	41.8%	41.5%	+0.3%
48	Kayla McBride LVA	34	992	349	46.7%	46.4%	+0.3%
49	Leilani Mitchell PHX	32	792	228	47.5%	47.3%	+0.2%
50	Amanda Zahui B NYL	24	554	505	46.3%	46.1%	+0.2%

Top team eFG% diff leaders

The current 2019 Season WNBA leaders in team eFG% diff are Courtney Vandersloot (+8.7%, CHI), Allie Quigley (+6.1%, CHI), Jonquel Jones (+5.5%, CON), Alysha Clark (+5.0%, SEA), and Shekinna Stricklen (+4.7%, CON).

Stat leaders

On/Off

Team eFG% diff

NBA

WNBA

Methodology