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	Kelsey Plum LVA	39	1253	286	56.9%	48.6%	+8.3%
2	Arike Ogunbowale DAL	40	1485	108	49.4%	41.7%	+7.8%
3	Breanna Stewart NYL	40	1365	216	55.0%	47.3%	+7.7%
4	Aliyah Boston IND	40	1247	351	50.6%	43.8%	+6.8%
5	Brittney Griner PHX	31	851	711	52.8%	46.3%	+6.5%
6	Satou Sabally DAL	38	1254	339	50.2%	44.0%	+6.1%
7	Brittney Sykes WAS	40	1242	348	49.9%	43.8%	+6.1%
8	Courtney Vandersloot NYL	39	1174	407	55.5%	49.5%	+6.0%
9	Alyssa Thomas CON	40	1443	142	50.4%	44.5%	+5.9%
10	Sabrina Ionescu NYL	36	1124	457	55.6%	49.8%	+5.8%
11	Jackie Young LVA	40	1251	288	56.5%	50.6%	+5.8%
12	Jonquel Jones NYL	40	992	589	55.9%	50.5%	+5.5%
13	DeWanna Bonner CON	40	1199	387	51.1%	45.9%	+5.2%
14	Marina Mabrey CHI	39	1162	415	51.5%	46.5%	+5.0%
15	Kelsey Mitchell IND	40	1349	250	49.9%	45.0%	+4.9%
16	Diana Taurasi PHX	26	703	860	52.2%	47.8%	+4.4%
17	Nia Coffey ATL	31	672	901	50.0%	45.7%	+4.2%
18	Jordin Canada LAS	38	1235	350	48.3%	44.2%	+4.2%
19	Lexie Brown LAS	12	362	1222	50.5%	46.5%	+4.0%
20	Ezi Magbegor SEA	40	1301	279	48.0%	44.0%	+4.0%
21	Candace Parker LVA	18	422	1116	58.2%	54.2%	+4.0%
22	Nneka Ogwumike LAS	36	1121	464	48.5%	44.7%	+3.8%
23	A'ja Wilson LVA	40	1227	312	56.1%	52.5%	+3.5%
24	Danielle Robinson ATL	32	683	890	49.4%	46.1%	+3.3%
25	Elizabeth Williams CHI	40	1180	397	50.9%	47.6%	+3.3%
26	Elena Delle Donne WAS	23	631	959	50.4%	47.4%	+3.0%
27	Betnijah Laney-Hamilton NYL	40	1192	389	54.7%	51.7%	+3.0%
28	Rachel Banham MIN	32	420	1169	50.5%	47.7%	+2.8%
29	Layshia Clarendon LAS	24	684	901	48.9%	46.2%	+2.7%
30	Courtney Williams CHI	40	1199	378	50.7%	48.2%	+2.5%
31	Natisha Hiedeman CON	40	1058	528	50.6%	48.2%	+2.4%
32	NaLyssa Smith IND	31	881	717	50.2%	47.8%	+2.4%
33	Haley Jones ATL	40	548	1025	49.0%	46.6%	+2.4%
34	Karlie Samuelson LAS	34	877	708	48.4%	46.2%	+2.2%
35	Jewell Loyd SEA	38	1344	237	47.6%	45.5%	+2.1%
36	Grace Berger IND	36	513	1085	50.6%	48.5%	+2.1%
37	Kia Nurse SEA	40	779	801	48.2%	46.3%	+1.9%
38	Teaira McCowan DAL	30	779	615	49.8%	47.9%	+1.9%
39	Natasha Howard DAL	39	1280	312	49.2%	47.5%	+1.8%
40	Sophie Cunningham PHX	31	888	675	50.5%	48.8%	+1.7%
41	Mercedes Russell SEA	37	705	875	48.1%	46.6%	+1.5%
42	DiJonai Carrington CON	32	531	1054	50.8%	49.3%	+1.5%
43	Gabby Williams SEA	10	285	660	48.5%	47.0%	+1.5%
44	Rhyne Howard ATL	39	1281	292	47.8%	46.3%	+1.5%
45	Moriah Jefferson PHX	39	960	603	50.3%	48.8%	+1.5%
46	Dorka Juhasz MIN	38	907	682	49.0%	47.8%	+1.2%
47	Crystal Dangerfield DAL	35	965	627	49.3%	48.2%	+1.2%
48	Tiffany Hayes CON	40	1077	509	50.2%	49.0%	+1.1%
49	Bridget Carleton MIN	38	566	1023	49.1%	48.1%	+0.9%
50	Li Meng WAS	34	533	857	49.2%	48.3%	+0.9%

Top team eFG% diff leaders

The current 2023 Season WNBA leaders in team eFG% diff are Kelsey Plum (+8.3%, LVA), Arike Ogunbowale (+7.8%, DAL), Breanna Stewart (+7.7%, NYL), Aliyah Boston (+6.8%, IND), and Brittney Griner (+6.5%, PHX).

Stat leaders

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Team eFG% diff

NBA

WNBA

Methodology