Stat leaders

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Min. 4 GP (10% of team's games), 10 MPG Relax qualifiers

Team eFG% diff

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

Min. 4 GP (10% of team's games), 10 MPG

#		GP	On min	Off min	On eFG%	Off eFG%	eFG% Diff
1	Karlie Samuelson LAS/DAL	7	84	236	51.8%	43.1%	+8.7%
2	Courtney Vandersloot CHI	33	986	345	52.2%	43.5%	+8.7%
3	Allie Quigley CHI	34	962	369	51.6%	45.5%	+6.1%
4	Candace Parker LAS	22	547	660	51.8%	45.9%	+6.0%
5	Jonquel Jones CON	34	978	362	49.1%	43.6%	+5.5%
6	Alysha Clark SEA	31	879	463	49.1%	44.1%	+5.0%
7	Karima Christmas-Kelly MIN	6	72	1221	54.1%	49.2%	+4.9%
8	Shekinna Stricklen CON	34	802	538	49.5%	44.7%	+4.7%
9	Allisha Gray DAL	34	1021	317	44.7%	40.2%	+4.5%
10	Stefanie Dolson CHI	34	844	487	51.6%	47.3%	+4.3%
11	Brittney Sykes ATL	34	877	472	43.2%	38.9%	+4.3%
12	Elena Delle Donne WAS	31	900	428	55.0%	50.9%	+4.1%
13	Marine Johannes NYL	19	339	411	48.8%	45.3%	+3.5%
14	Napheesa Collier MIN	34	1111	221	50.1%	46.6%	+3.4%
15	Brittney Griner PHX	31	868	223	48.3%	44.9%	+3.4%
16	Sydney Wiese LAS	32	585	662	50.0%	46.6%	+3.4%
17	Kelsey Mitchell IND	34	835	510	47.6%	44.5%	+3.1%
18	Dearica Hamby LVA	34	840	501	47.8%	44.7%	+3.1%
19	Sami Whitcomb SEA	33	667	674	48.9%	45.8%	+3.1%
20	Sophie Cunningham PHX	32	291	763	49.7%	46.6%	+3.0%
21	Kelsey Plum LVA	34	869	473	47.7%	44.7%	+3.0%
22	Sylvia Fowles MIN	34	994	338	50.3%	47.3%	+3.0%
23	Natasha Howard SEA	34	1065	276	48.0%	45.1%	+2.9%
24	Camille Smith PHX	29	249	843	49.9%	47.0%	+2.8%
25	Ariel Atkins WAS	33	788	540	54.8%	51.9%	+2.8%
26	Damiris Dantas MIN	26	663	630	50.9%	48.1%	+2.8%
27	Yvonne Turner PHX	29	458	565	49.0%	46.3%	+2.7%
28	Jasmine Thomas CON	34	1009	331	48.2%	45.6%	+2.6%
29	Mercedes Russell SEA	34	863	478	48.2%	45.8%	+2.5%
30	Jordin Canada SEA	30	860	481	48.2%	45.8%	+2.4%
31	Liz Cambage LVA	32	798	543	47.6%	45.2%	+2.4%
32	Alyssa Thomas CON	34	1027	313	48.1%	46.0%	+2.1%
33	Danielle Robinson MIN	34	894	439	50.1%	48.1%	+1.9%
34	Monique Billings ATL	29	537	812	42.8%	40.9%	+1.9%
35	Diamond DeShields CHI	34	1016	315	50.4%	48.6%	+1.9%
36	Erica Wheeler IND	34	840	504	47.2%	45.3%	+1.8%
37	Nayo Raincock-Ekunwe NYL	28	352	985	47.4%	45.7%	+1.7%
38	Kaela Davis DAL	33	630	708	44.5%	42.8%	+1.6%
39	Brianna Turner PHX	29	386	705	48.4%	47.0%	+1.5%
40	Emma Meesseman WAS	23	533	359	54.5%	53.0%	+1.5%
41	Nneka Ogwumike LAS	32	856	391	48.7%	47.3%	+1.4%
42	Aerial Powers WAS	30	582	746	54.4%	53.0%	+1.4%
43	Glory Johnson DAL	28	670	430	44.3%	43.0%	+1.3%
44	Maria Kliundikova LAS	15	99	519	49.3%	48.1%	+1.1%
45	Maite Cazorla ATL	31	464	885	42.4%	41.3%	+1.1%
46	Courtney Williams CON	34	979	361	47.9%	46.8%	+1.1%
47	Tiffany Hayes ATL	29	817	531	42.0%	41.2%	+0.8%
48	LaToya Sanders WAS	34	797	530	53.9%	53.2%	+0.7%
49	Rachel Banham CON	29	338	1002	48.0%	47.4%	+0.6%
50	A'ja Wilson LVA	26	738	604	46.9%	46.3%	+0.6%

Top team eFG% diff leaders

The current 2019 Season WNBA leaders in team eFG% diff are Karlie Samuelson (+8.7%, DAL), Courtney Vandersloot (+8.7%, CHI), Allie Quigley (+6.1%, CHI), Candace Parker (+6.0%, LAS), and Jonquel Jones (+5.5%, CON).

Stat leaders

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Team eFG% diff

NBA

WNBA

Methodology