WNBA Scoreboard, Standings & News — PlayTakers

Player	Team	G	MPG	PPG	RPG	APG	SPG	BPG	TOV	FG%	3P%	FT%	3PM	PTS
A'ja Wilson	LV	37	31.9	26.6	9.4	3.0	1.5	1.8	2.3	0.542	0.436	0.847	34	983
Kelsey Mitchell	IND	37	31.7	23.2	1.6	2.6	1.0	0.1	1.6	0.493	0.440	0.867	109	860
Kelsey Plum	LA	13	33.3	23.1	2.1	6.2	1.1	0.0	3.0	0.523	0.398	0.818	33	300
Breanna Stewart	NYK	40	34.0	22.1	8.5	3.4	1.4	1.5	2.2	0.484	0.282	0.858	33	883
Kahleah Copper	PHX	32	32.8	21.4	3.8	1.8	0.8	0.1	2.3	0.447	0.296	0.790	56	685
Caitlin Clark	IND	33	29.5	21.1	4.1	8.2	1.0	0.5	4.5	0.435	0.343	0.892	86	696
Marina Mabrey	TOR	27	29.4	20.9	3.5	3.7	1.0	0.4	3.2	0.442	0.387	0.885	87	565
Paige Bueckers	DAL	35	32.6	20.5	4.2	5.9	0.8	0.5	2.0	0.515	0.413	0.864	64	716
Brittney Sykes	TOR	16	30.9	19.3	3.6	3.3	1.3	0.4	2.4	0.418	0.258	0.896	16	309
Olivia Miles	MIN	34	30.2	18.9	4.8	5.4	1.2	0.7	2.9	0.482	0.358	0.873	44	641
Jackie Young	LV	40	32.6	18.4	4.2	6.9	1.2	0.3	2.4	0.488	0.382	0.920	87	736
Rickea Jackson	CHI	4	29.5	18.0	4.8	2.0	0.3	1.8	2.0	0.400	0.286	0.818	6	72
Allisha Gray	ATL	39	31.4	17.7	3.0	2.3	1.5	0.3	1.5	0.448	0.314	0.795	60	690
Nneka Ogwumike	LA	32	30.9	17.5	9.0	3.2	1.1	0.4	1.5	0.528	0.403	0.835	48	560
Sonia Citron	WSH	31	33.2	17.4	4.0	3.9	1.1	0.8	2.5	0.471	0.303	0.897	36	538
Angel Reese	ATL	40	30.3	17.0	11.0	2.4	1.7	0.9	3.0	0.460	0.263	0.746	15	678
Kayla McBride	MIN	38	31.5	16.9	3.2	2.4	1.6	0.2	1.3	0.447	0.398	0.905	98	644
Dominique Malonga	SEA	27	26.0	16.6	8.4	1.4	1.0	1.2	2.8	0.496	0.308	0.701	16	447
Rhyne Howard	ATL	40	33.8	16.1	3.8	3.5	2.5	0.8	1.2	0.380	0.331	0.845	105	643
Aliyah Boston	IND	34	25.9	15.8	7.6	3.2	1.3	1.0	2.4	0.535	0.437	0.765	38	536
Carla Leite	POR	32	26.0	15.6	2.3	6.1	0.6	0.0	3.4	0.452	0.382	0.871	26	499
Gabby Williams	GSW	35	26.6	15.6	3.5	2.5	1.7	0.1	1.7	0.404	0.362	0.769	68	545
Sabrina Ionescu	NYK	30	30.4	15.5	3.6	4.5	0.8	0.2	2.8	0.410	0.356	0.866	72	466
Shakira Austin	WSH	33	29.7	15.5	9.5	2.6	0.8	1.1	2.8	0.455	0.333	0.710	14	512
Arike Ogunbowale	DAL	36	30.0	15.4	3.1	3.2	1.0	0.1	1.5	0.404	0.339	0.894	64	555
Natisha Hiedeman	SEA	36	29.8	15.4	2.5	4.9	1.1	0.1	2.3	0.448	0.335	0.848	69	555
Kiki Iriafen	WSH	32	27.4	15.1	9.7	1.4	0.6	0.5	1.8	0.496	0.317	0.683	13	482
Napheesa Collier	MIN	10	27.0	15.1	6.3	2.5	1.0	0.7	2.0	0.488	0.357	0.773	10	151
Flau'jae Johnson	SEA	36	29.0	15.0	4.9	3.0	1.4	0.7	2.6	0.397	0.284	0.803	50	540
Alyssa Thomas	PHX	33	33.5	15.0	7.5	8.5	1.3	0.5	3.6	0.532	0.000	0.690	0	494
Dearica Hamby	LA	31	29.0	14.9	7.2	2.4	1.6	0.5	1.9	0.547	0.212	0.711	7	461
Jonquel Jones	NYK	41	29.4	14.8	9.1	2.5	0.6	1.4	2.2	0.499	0.385	0.807	72	607
Bridget Carleton	POR	31	30.5	14.6	3.9	2.1	1.6	0.4	1.2	0.414	0.390	0.865	90	454
Sydney Taylor	CHI	32	21.0	14.4	1.8	1.9	0.7	0.3	1.6	0.435	0.332	0.800	64	460
Natasha Howard	MIN	38	27.1	14.4	7.3	3.0	1.5	0.9	2.4	0.585	0.167	0.710	2	546
Kamilla Cardoso	CHI	33	26.4	14.2	8.5	2.6	0.6	1.5	1.8	0.579	—	0.732	0	470
Brittney Griner	CON	17	25.5	14.2	5.5	2.5	0.5	1.6	1.6	0.556	0.400	0.677	2	242
Skylar Diggins	CHI	19	29.1	14.2	3.2	4.9	0.9	0.6	1.7	0.392	0.382	0.775	26	269
Courtney Williams	MIN	38	29.7	14.1	5.0	4.3	1.1	0.3	1.9	0.449	0.385	0.848	45	536
Megan DiLeo	POR	7	27.0	14.0	5.1	1.0	0.7	1.1	1.0	0.528	0.226	0.882	7	98
Jessica Shepard	DAL	37	32.4	14.0	11.4	5.5	0.6	0.1	1.9	0.559	0.000	0.693	0	519
Isabelle Harrison	TOR	21	24.0	13.6	6.9	1.2	0.8	0.6	1.7	0.461	0.345	0.720	19	285
Rae Burrell	LA	33	28.0	13.2	2.3	2.2	0.8	0.5	2.2	0.448	0.398	0.813	49	436
Kiki Rice	TOR	18	26.5	13.2	4.4	3.1	0.8	0.2	1.7	0.471	0.340	0.851	16	237
Azzi Fudd	DAL	30	31.3	13.2	1.7	1.8	1.6	0.8	1.0	0.459	0.395	0.783	62	396
Chelsea Gray	LV	40	32.9	12.7	3.5	6.8	1.3	0.3	3.0	0.448	0.383	0.910	74	507
Megan Gustafson	POR	24	22.9	12.2	3.9	1.0	0.5	0.6	0.7	0.545	0.400	0.846	30	293
Chennedy Carter	LV	15	17.3	12.1	1.7	1.5	0.9	0.4	1.2	0.570	0.440	0.750	11	182
Jordin Canada	ATL	41	31.2	12.0	3.5	7.6	2.0	0.2	2.4	0.435	0.307	0.833	39	492
Nyara Sabally	TOR	20	23.6	12.0	4.8	1.7	0.9	0.9	1.4	0.540	0.417	0.725	15	239
NaLyssa Smith	LV	31	23.8	11.9	5.8	0.8	0.5	0.6	0.9	0.648	0.125	0.551	1	368
Leila Lacan	CON	24	28.3	11.9	2.0	4.3	1.8	0.3	2.3	0.424	0.329	0.745	27	286
DiJonai Carrington	CHI	3	18.7	11.7	2.0	0.0	0.0	0.3	0.3	0.429	0.429	0.636	3	35
Veronica Burton	GSW	39	28.4	11.5	3.6	5.2	1.4	0.6	1.7	0.401	0.352	0.826	50	448
Janelle Salaun	GSW	37	20.1	11.4	3.5	1.0	0.6	0.1	0.7	0.416	0.393	0.781	79	422
Azura Stevens	CHI	23	25.0	11.4	6.7	2.4	1.0	0.6	1.7	0.417	0.277	0.783	23	262
Aneesah Morrow	CON	21	22.9	11.4	8.9	1.6	1.0	0.4	1.7	0.419	0.275	0.612	19	239
Sug Sutton	POR	3	23.0	11.3	1.7	5.7	0.7	0.0	2.0	0.419	0.250	0.600	2	34
Laura Juskaite	TOR	34	25.2	11.2	3.9	1.7	1.5	0.2	1.9	0.471	0.350	0.832	36	382
DeWanna Bonner	ATL	11	23.3	10.7	5.5	1.4	1.0	0.2	0.7	0.458	0.389	0.800	14	118
Awa Fam	SEA	30	29.2	10.7	6.4	2.0	0.7	0.9	1.9	0.450	0.346	0.765	44	320
Sarah Ashlee Barker	POR	26	24.7	10.7	4.5	2.4	0.9	0.3	2.0	0.502	0.400	0.743	36	278
Jovana Nogic	PHX	16	20.1	10.4	1.1	1.6	0.6	0.0	1.4	0.420	0.421	0.895	32	166
Satou Sabally	NYK	13	16.7	10.4	2.8	1.9	0.1	0.2	1.7	0.459	0.385	0.862	20	135
DeWanna Bonner	PHX	31	27.3	10.3	5.8	1.5	1.2	0.8	0.8	0.396	0.257	0.817	35	320
Emma Cechova	MIN	4	19.0	10.3	4.3	0.0	0.3	1.5	1.5	0.652	0.000	0.611	0	41
Olivia Nelson-Ododa	CON	28	21.1	9.9	6.0	1.9	0.8	0.9	1.6	0.577	0.000	0.654	0	278
Courtney Vandersloot	CHI	17	20.8	9.9	2.9	5.4	1.2	0.2	1.9	0.480	0.447	0.791	17	169
Michaela Onyenwere	WSH	30	25.8	9.9	2.9	1.6	0.4	0.1	1.8	0.439	0.400	0.829	44	296
Natasha Cloud	CHI	30	27.9	9.7	3.1	4.6	1.0	0.3	2.1	0.450	0.330	0.845	31	292
Charisma Osborne	POR	3	19.7	9.7	1.7	1.3	1.0	0.3	1.0	0.474	0.500	0.857	5	29
Diamond Miller	CON	34	22.7	9.6	2.6	1.3	0.8	0.3	1.4	0.378	0.323	0.787	40	328
Aaliyah Edwards	CON	24	19.7	9.6	4.3	1.0	0.8	0.3	1.7	0.503	0.357	0.677	5	231
Pauline Astier	NYK	42	23.5	9.5	2.9	3.3	0.9	0.1	1.7	0.548	0.411	0.885	23	398
Monique Akoa Makani	PHX	19	23.4	9.4	2.1	2.5	1.2	0.2	2.0	0.439	0.436	0.864	24	178
Natasha Mack	PHX	27	23.7	9.4	7.0	1.3	0.9	1.4	1.0	0.610	0.250	0.804	2	253
Emily Engstler	POR	34	24.2	9.4	5.5	2.1	1.5	1.5	2.0	0.437	0.358	0.731	39	318
Ariel Atkins	LA	31	26.9	9.2	2.9	2.7	1.5	0.4	1.6	0.392	0.304	0.955	38	286
Brionna Jones	ATL	5	17.0	9.2	7.0	1.2	0.2	0.6	0.6	0.485	0.000	0.933	0	46
Tiffany Hayes	GSW	37	17.2	9.0	1.5	2.5	0.6	0.2	1.1	0.447	0.268	0.776	22	332
Erica Wheeler	LA	33	26.2	8.9	1.8	5.1	1.0	0.1	1.8	0.388	0.304	0.867	42	293
Maria Conde	TOR	31	26.4	8.7	4.5	2.5	0.5	0.2	1.5	0.355	0.345	0.881	48	269
Cameron Brink	LA	22	17.9	8.6	4.5	1.1	0.6	1.6	2.5	0.448	0.316	0.778	18	190
Sophie Cunningham	IND	36	22.4	8.6	2.2	1.3	0.6	0.1	0.8	0.473	0.429	0.859	60	311
Gabriela Jaquez	CHI	30	21.3	8.5	3.4	1.0	0.8	0.0	1.3	0.449	0.295	0.825	18	256
Naz Hillmon	ATL	40	28.7	8.4	4.2	1.6	0.7	0.2	1.1	0.445	0.293	0.792	44	336
Cecilia Zandalasini	GSW	33	18.0	8.3	1.7	1.5	0.8	0.1	1.5	0.401	0.347	0.837	42	273
Morgan Maly	CHI	3	21.3	8.3	4.7	1.0	0.3	1.0	0.3	0.444	0.455	1.000	5	25
Leonie Fiebich	NYK	24	30.0	8.2	3.4	2.0	1.1	0.2	1.8	0.428	0.404	0.875	38	196
Jewell Loyd	LV	37	26.7	8.2	2.5	1.2	1.3	0.1	0.8	0.373	0.351	0.771	67	304
Jade Melbourne	SEA	34	23.5	8.2	2.0	3.7	0.9	0.1	1.8	0.443	0.269	0.784	18	278
Tonie Morgan	LA	4	20.0	8.0	1.5	3.5	1.3	0.5	2.0	0.619	0.429	0.500	3	32
Kennedy Burke	CON	30	23.8	8.0	3.3	1.6	1.0	0.9	1.5	0.380	0.333	0.683	36	239
Kayla Thornton	GSW	39	24.4	7.7	4.9	0.6	0.7	0.3	0.7	0.360	0.339	0.879	58	299
Marine Johannes	NYK	39	19.3	7.7	2.0	2.3	0.8	0.1	1.5	0.394	0.361	0.840	74	299
Shay Ciezki	PHX	6	14.3	7.7	1.0	1.2	0.3	0.0	0.7	0.444	0.417	1.000	5	46
Kaitlyn Chen	GSW	39	15.4	7.6	1.3	1.9	0.3	0.1	1.1	0.517	0.422	0.738	27	296
Nia Brodie	MIN	6	17.5	7.2	2.0	1.5	0.7	0.7	0.8	0.424	0.417	0.833	10	43
Nia Coffey	MIN	32	24.5	7.2	4.8	2.0	0.9	1.2	0.7	0.458	0.394	0.600	43	231
Zia Cooke	SEA	33	14.7	7.2	1.7	0.9	0.3	0.0	1.0	0.336	0.303	0.805	27	239
Valeriane Ayayi	PHX	27	16.9	7.1	3.0	1.3	0.5	0.2	1.4	0.379	0.283	0.828	17	193
Georgia Amoore	WSH	35	23.1	6.8	1.4	3.5	0.4	0.1	2.2	0.363	0.329	0.857	48	238
Monique Billings	IND	36	19.0	6.8	5.1	1.0	0.8	0.5	0.9	0.535	0.353	0.780	6	243
Saniya Rivers	CON	29	22.0	6.7	2.4	3.0	1.0	0.8	1.4	0.338	0.161	0.667	9	193
Lexi Held	PHX	26	18.4	6.7	1.3	1.7	0.5	0.2	1.1	0.401	0.356	0.897	26	174
Chloe Bibby	MIN	3	13.0	6.7	1.7	0.7	0.0	0.0	1.0	0.438	0.429	—	6	20
Maddy Siegrist	DAL	35	15.0	6.7	2.8	0.7	0.4	0.3	0.4	0.484	0.423	0.808	30	233
Jacy Sheldon	CHI	34	20.9	6.6	1.4	1.8	0.8	0.3	0.9	0.440	0.291	0.900	25	223
Lauren Betts	WSH	35	17.5	6.6	4.2	1.1	0.6	0.8	1.0	0.500	—	0.704	0	232
Charlisse Leger-Walker	CON	35	22.9	6.3	2.3	3.3	0.9	0.1	1.9	0.360	0.261	0.776	23	221
Cotie McMahon	WSH	33	19.6	6.3	2.7	1.9	0.5	0.2	1.0	0.412	0.311	0.617	19	209
Hailey Van Lith	CON	15	15.7	6.2	1.5	2.3	0.5	0.2	1.3	0.500	0.364	0.875	8	93
Frieda Buhner	POR	32	15.9	6.2	1.9	0.8	0.4	0.1	0.8	0.434	0.307	0.875	23	197
Julie Allemand	TOR	28	28.5	6.1	3.3	5.3	1.4	0.4	1.6	0.541	0.416	0.778	32	171
Temi Fagbenle	TOR	16	18.1	6.1	4.1	1.1	0.4	0.4	1.3	0.483	0.235	0.500	4	98
Aari McDonald	MIN	5	12.4	6.0	0.6	2.0	0.8	0.0	1.0	0.333	0.385	0.900	5	30
Kaila Charles	GSW	39	20.5	6.0	4.8	1.3	0.7	0.3	0.9	0.378	0.304	0.771	28	233
Teja Oblak	POR	24	13.1	6.0	1.5	2.8	0.7	0.0	2.6	0.452	0.388	0.750	19	143
Aziaha James	DAL	37	11.5	5.9	2.2	1.3	0.9	0.2	0.8	0.375	0.230	0.734	14	217
Julie Vanloo	NYK	5	16.2	5.8	2.0	5.4	0.4	0.0	2.4	0.529	0.500	1.000	7	29
Awak Kuier	DAL	33	18.0	5.8	3.3	0.9	0.5	1.5	1.0	0.514	0.383	0.690	23	193
Marine Fauthoux	NYK	17	14.4	5.7	2.4	1.8	0.3	0.1	1.1	0.492	0.325	0.833	13	97
Haley Jones	POR	6	13.2	5.7	2.3	1.2	0.7	0.0	1.7	0.560	0.000	0.750	0	34
Kara Dunn	PHX	3	13.7	5.7	1.3	0.3	0.3	0.0	0.3	0.455	0.556	1.000	5	17
Elizabeth Williams	CHI	34	18.0	5.6	4.0	1.5	0.7	1.1	0.8	0.470	—	0.427	0	189
Chloe Bibby	CHI	4	12.8	5.5	0.5	1.5	0.5	0.3	0.5	0.400	0.333	1.000	4	22
Noemie Brochant	PHX	34	22.9	5.5	2.3	1.9	0.9	0.3	0.9	0.425	0.356	0.667	32	188
Lexie Hull	IND	36	19.1	5.4	3.0	0.7	0.7	0.2	0.8	0.423	0.333	0.813	29	193
Madina Okot	ATL	38	8.7	5.3	3.4	0.2	0.3	0.3	1.1	0.600	0.167	0.735	2	200
Han Xu	NYK	41	12.6	5.3	2.1	0.7	0.3	0.6	0.5	0.491	0.416	0.864	32	219
Aicha Coulibaly	CHI	21	12.8	5.1	2.5	0.5	0.7	0.2	0.6	0.383	0.000	0.882	0	107
Isobel Borlase	ATL	41	13.3	5.1	1.5	1.0	0.4	0.2	0.7	0.455	0.303	0.879	20	209
Cheyenne Parker-Tyus	LV	33	11.6	5.0	2.7	0.8	0.6	0.8	0.5	0.514	0.421	0.712	8	164
Ezi Magbegor	SEA	6	14.8	5.0	3.7	1.2	0.8	0.7	0.8	0.414	0.375	1.000	3	30
Kia Nurse	TOR	34	13.4	4.9	1.1	0.9	0.3	0.0	0.4	0.315	0.304	0.933	31	165
Kiana Williams	PHX	8	13.1	4.8	0.4	0.5	0.5	0.1	0.8	0.364	0.360	1.000	9	38
Odyssey Sims	DAL	28	13.7	4.8	0.9	2.2	0.5	0.1	1.0	0.422	0.314	0.867	11	135
Betnijah Laney-Hamilton	NYK	17	16.7	4.7	1.9	1.5	0.3	0.2	1.5	0.362	0.243	0.808	9	80
Karlie Samuelson	POR	22	16.1	4.7	1.3	1.0	0.5	0.1	0.5	0.370	0.303	0.923	20	104
Makayla Timpson	IND	36	16.4	4.7	4.2	0.4	0.6	0.8	0.7	0.626	—	0.729	0	169
Raegan Beers	CON	30	12.1	4.7	3.0	0.9	0.4	0.2	1.0	0.505	0.333	0.708	3	141
Luisa Geiselsoder	POR	22	16.8	4.6	2.8	1.2	0.3	0.4	1.0	0.330	0.281	0.833	16	101
Serah Williams	POR	31	13.0	4.6	2.9	0.5	0.6	0.4	0.8	0.538	0.500	0.633	1	144
Rebekah Gardner	NYK	39	14.1	4.6	2.2	1.1	0.4	0.2	0.8	0.478	0.262	0.933	11	181
Kitija Laksa	DAL	5	10.8	4.6	1.6	0.0	0.0	0.2	0.8	0.360	0.313	—	5	23
Katie Lou Samuelson	SEA	26	15.4	4.5	2.1	0.8	0.8	0.0	0.4	0.422	0.354	0.760	23	118
Monique Akoa Makani	LA	4	21.3	4.5	2.0	1.8	0.8	0.3	3.3	0.263	0.273	0.833	3	18
Stephanie Talbot	LV	39	18.4	4.5	2.8	1.3	0.7	0.3	0.7	0.468	0.311	0.741	23	175
Emma Cannon	LA	14	7.6	4.4	1.1	0.5	0.0	0.1	0.4	0.533	0.545	0.773	12	61
Sami Whitcomb	PHX	12	16.7	4.4	1.8	1.8	0.5	0.1	1.0	0.279	0.255	1.000	12	53
Alanna Smith	DAL	23	14.3	4.4	3.1	1.0	0.6	0.4	1.1	0.417	0.262	0.688	11	102
Jordan Harrison	POR	9	14.6	4.3	1.7	4.7	0.7	0.2	1.9	0.361	0.200	0.786	2	39
Damiris Dantas	IND	13	9.4	4.3	1.8	0.5	0.2	0.2	0.8	0.439	0.423	0.818	11	56
Grace VanSlooten	SEA	4	11.8	4.3	1.5	0.8	1.0	0.8	0.3	0.625	0.667	0.625	2	17
Bree Hall	IND	3	8.0	4.3	2.0	0.3	0.0	0.0	0.0	0.455	0.400	0.333	2	13
Rachel Banham	CHI	30	13.2	4.3	0.8	1.1	0.1	0.2	0.8	0.349	0.293	0.800	27	129
Raven Johnson	IND	35	13.2	4.2	2.1	1.3	0.5	0.2	0.9	0.449	0.250	0.750	13	147
Anastasiia Olairi Kosu	MIN	28	11.2	4.2	2.3	0.7	0.6	0.4	0.7	0.488	0.667	0.865	2	118
Nyadiew Puoch	POR	33	18.1	4.2	2.0	0.8	0.6	0.1	0.7	0.381	0.212	0.600	14	138
Tyasha Harris	IND	30	14.1	4.2	1.1	2.3	0.3	0.2	0.6	0.406	0.271	0.893	16	127
Maya Caldwell	MIN	37	14.6	4.2	2.5	1.2	0.7	0.2	0.8	0.367	0.365	0.870	27	157
Myisha Hines-Allen	IND	33	14.5	4.1	3.4	1.5	0.5	0.4	1.3	0.505	0.400	0.643	8	136
Nell Angloma	CON	30	11.6	4.1	1.6	0.7	0.4	0.2	0.7	0.402	0.182	0.592	4	123
Kalani Brown	LV	7	6.6	4.1	2.0	0.1	0.1	0.3	0.3	0.579	—	0.778	0	29
Alex Fowler	NYK	3	15.7	4.0	0.7	0.3	1.3	0.0	1.3	0.308	0.222	1.000	2	12
Jordan Horston	SEA	29	17.9	4.0	3.4	1.3	0.9	0.5	1.3	0.351	0.150	0.708	6	117
Ashlon Jackson	CON	11	14.6	3.9	1.5	1.2	0.7	0.0	0.5	0.469	0.462	0.250	12	43
Dorka Juhasz	MIN	15	17.1	3.9	3.5	1.9	0.5	0.7	0.8	0.359	0.282	0.250	11	58
Lexie Brown	SEA	10	14.9	3.8	1.3	1.1	0.5	0.1	1.0	0.462	0.450	0.833	9	38
Stefanie Dolson	SEA	36	16.1	3.8	2.4	1.2	0.3	0.5	0.9	0.483	0.438	0.853	21	136
Gianna Kneepkens	CON	28	10.2	3.8	1.3	0.7	0.3	0.0	0.4	0.434	0.286	0.957	12	106
Laeticia Amihere	GSW	32	11.2	3.8	3.0	1.0	0.4	0.7	0.8	0.438	0.462	0.585	6	121
Ta'Niya Latson	LV	4	3.0	3.8	0.0	0.0	0.0	0.0	0.5	0.833	1.000	0.800	1	15
Alicia Florez	WSH	25	13.6	3.8	1.5	2.3	0.7	0.1	1.2	0.367	0.216	0.536	8	95
Juste Jocyte	GSW	13	7.2	3.6	0.8	1.0	0.2	0.1	0.8	0.400	0.500	0.750	12	47
Liatu King	MIN	12	9.4	3.6	2.6	0.2	0.6	0.3	0.6	0.485	0.200	0.474	2	43
Te-Hina Paopao	ATL	35	11.3	3.6	0.8	1.3	0.2	0.1	0.5	0.376	0.387	0.800	29	125
Marta Suarez	PHX	15	9.7	3.5	1.5	0.3	0.3	0.0	0.5	0.442	0.375	0.727	6	52
Dana Evans	LV	11	15.1	3.5	1.1	1.9	0.3	0.1	1.1	0.286	0.455	0.625	10	39
Kiah Stokes	GSW	39	23.5	3.4	6.4	1.3	0.6	2.0	0.6	0.417	0.267	0.476	16	132
Li Yueru	DAL	28	10.2	3.4	2.9	0.5	0.2	0.3	0.6	0.412	0.219	0.744	7	95
Kyara Linskens	PHX	16	10.3	3.3	2.3	0.6	0.6	0.7	0.6	0.340	0.286	0.706	6	52
Darianna Littlepage-Buggs	WSH	3	6.0	3.3	1.0	0.3	0.0	0.3	0.3	0.800	1.000	—	2	10
Rebecca Allen	NYK	24	14.7	3.3	1.8	0.5	0.3	0.5	0.5	0.313	0.300	0.900	18	79
Chance Gray	LA	29	11.0	3.3	1.1	0.9	0.1	0.0	0.8	0.387	0.368	0.842	21	95
Holly Winterburn	POR	19	10.0	3.3	0.9	1.6	0.4	0.0	1.0	0.323	0.188	0.895	6	63
Antonia Delaere	MIN	35	12.7	3.3	0.9	1.2	0.4	0.0	0.5	0.471	0.456	1.000	26	117
Tima Pouye	TOR	19	9.5	3.2	0.8	1.2	0.2	0.0	0.7	0.345	0.308	0.778	8	60
Aminata Gueye	GSW	6	8.7	3.2	1.8	0.7	0.7	0.3	1.5	0.318	0.000	1.000	0	19
Jaylyn Sherrod	ATL	5	6.6	3.2	0.6	1.4	1.0	0.0	0.4	0.357	0.333	1.000	1	16
Kiana Williams	LA	10	12.0	3.2	0.3	1.8	0.4	0.0	0.8	0.361	0.208	0.500	5	32
Nikolina Milic	TOR	7	9.0	3.0	1.3	0.4	0.0	0.0	0.7	0.474	0.000	0.750	0	21
JJ Quinerly	DAL	3	8.0	3.0	1.3	1.7	0.3	0.3	1.0	0.333	0.500	1.000	1	9
Mackenzie Holmes	SEA	26	10.8	3.0	3.2	0.6	0.7	0.2	0.4	0.577	0.500	0.733	6	77
Alex Wilson	WSH	4	14.5	3.0	1.8	0.8	0.0	0.3	0.5	0.267	0.182	0.667	2	12
Angela Dugalic	WSH	33	9.9	3.0	2.5	0.7	0.4	0.2	0.7	0.430	0.121	0.652	4	99
Lucy Olsen	WSH	20	7.7	2.9	0.7	1.0	0.3	0.0	0.6	0.435	0.316	0.800	6	58
Betnijah Laney-Hamilton	WSH	6	13.5	2.8	1.3	1.0	0.5	0.0	0.3	0.375	0.500	1.000	3	17
Justine Pissott	LV	10	5.8	2.7	0.7	0.2	0.0	0.2	0.1	0.455	0.412	—	7	27
Eliska Hamzova	MIN	16	7.0	2.6	1.3	1.3	0.1	0.2	0.9	0.500	0.200	0.800	1	41
Anneli Maley	NYK	8	10.8	2.5	1.8	0.4	0.5	0.0	0.1	0.308	0.286	1.000	2	20
Cassandre Prosper	WSH	30	11.5	2.5	1.3	0.5	0.2	0.0	0.7	0.316	0.214	0.429	9	75
Alysha Clark	DAL	26	10.6	2.4	1.7	0.5	0.3	0.2	0.5	0.417	0.290	0.636	9	63
Kate Martin	LA	15	6.9	2.4	0.9	0.3	0.2	0.1	0.1	0.364	0.292	0.625	7	36
Jihyun Park	LA	27	9.4	2.4	1.2	0.6	0.4	0.0	0.3	0.431	0.185	0.588	5	65
Maddy Westbeld	PHX	4	11.3	2.3	1.5	0.3	0.5	0.3	0.8	0.231	0.250	1.000	1	9
Ta'Niya Latson	LA	11	5.9	2.3	1.0	0.5	0.0	0.0	1.0	0.313	0.167	0.667	1	25
Ornella Bankole	TOR	6	13.8	2.3	2.3	1.0	0.2	0.0	0.5	0.364	0.333	1.000	2	14
Emese Hof	MIN	3	7.0	2.3	1.7	0.7	0.0	0.0	1.3	0.500	—	0.500	0	7
Kayla Alexander	TOR	4	10.0	2.3	2.8	0.5	0.3	0.3	1.0	0.429	—	0.750	0	9
Mai Yamamoto	LV	10	11.2	2.2	0.7	0.5	0.3	0.1	0.5	0.273	0.200	—	4	22
Sug Sutton	DAL	14	9.1	2.1	0.9	1.6	0.2	0.1	0.5	0.464	0.231	0.500	3	30
Sika Kone	ATL	31	5.5	2.1	1.2	0.3	0.1	0.0	0.3	0.365	0.207	0.737	6	66
Laura Ziegler	LA	4	9.8	2.0	1.3	0.8	0.3	0.5	0.3	0.273	0.000	0.667	0	8
Zaay Green	TOR	4	9.3	2.0	1.3	0.0	0.0	0.0	0.5	0.250	0.222	—	2	8
Kierstan Bell	LV	29	10.1	2.0	1.3	0.6	0.2	0.4	0.4	0.300	0.240	0.750	12	57
Teonni Key	TOR	32	10.6	2.0	2.1	0.5	0.4	0.5	0.6	0.391	0.176	0.550	3	64
Sania Feagin	LA	4	5.0	2.0	1.0	0.5	0.3	0.0	0.3	0.500	—	1.000	0	8
Taylor Thierry	SEA	13	9.8	2.0	1.5	0.3	0.2	0.0	0.2	0.346	0.417	0.750	5	26
Raquel Carrera	NYK	21	6.2	1.8	1.0	0.4	0.2	0.1	0.5	0.750	0.500	0.688	3	38
Shatori Walker-Kimbrough	IND	3	8.3	1.7	1.3	0.0	0.0	0.3	1.0	0.500	0.500	—	1	5
Lexi Held	TOR	9	9.3	1.6	0.8	0.8	0.2	0.0	0.4	0.278	0.429	1.000	3	14
Brianna Turner	LV	37	12.3	1.5	2.3	0.2	0.2	0.5	0.5	0.605	—	1.000	0	54
Grace VanSlooten	IND	13	3.5	1.5	0.5	0.1	0.0	0.1	0.2	1.000	—	0.778	0	19
Teaira McCowan	MIN	10	6.8	1.4	2.4	0.3	0.1	0.5	0.6	0.467	—	0.000	0	14
Mariella Fasoula	TOR	3	5.0	1.3	1.0	0.3	0.3	0.7	0.7	0.400	—	—	0	4
Alissa Pili	LA	3	6.0	1.3	2.0	0.7	0.0	0.0	0.3	0.500	0.000	—	0	4
Quionche Carter	PHX	13	6.2	1.2	0.7	0.5	0.4	0.0	0.2	0.167	0.000	0.563	0	15
Rori Harmon	WSH	14	6.6	1.1	0.6	1.3	0.5	0.0	1.1	0.375	0.125	0.500	1	16
Shatori Walker-Kimbrough	ATL	9	2.7	1.1	0.6	0.4	0.1	0.0	0.3	0.571	—	1.000	0	10
Indya Nivar	ATL	24	3.4	1.1	0.8	0.3	0.2	0.1	0.3	0.417	0.600	0.200	3	26
Nadia Fingall	GSW	5	2.8	1.0	0.2	0.0	0.0	0.0	0.0	1.000	1.000	—	1	5
Mercedes Russell	IND	3	12.7	1.0	1.7	0.3	1.0	0.0	0.0	0.200	—	0.500	0	3
Maddy Westbeld	CHI	3	9.7	1.0	1.3	0.7	0.0	0.0	0.3	0.167	0.200	—	1	3
Haley Jones	DAL	3	6.0	0.7	2.3	1.3	0.7	0.3	1.0	0.333	—	—	0	2
Jaylyn Sherrod	SEA	3	9.7	0.7	1.0	1.0	1.7	0.0	1.3	0.125	0.000	—	0	2
Aubrey Griffin	NYK	4	1.8	0.5	0.3	0.0	0.0	0.0	0.3	1.000	—	—	0	2
Taina Mair	SEA	5	4.0	0.4	0.4	0.8	0.0	0.0	0.2	0.000	0.000	1.000	0	2
Aaliyah Nye	ATL	14	1.4	0.4	0.0	0.1	0.1	0.0	0.1	0.333	0.333	—	1	5
Ndjakalenga Mwenentanda	GSW	5	2.6	0.0	0.4	0.4	0.0	0.0	0.2	0.000	0.000	—	0	0
Saylor Poffenbarger	CHI	5	5.2	0.0	1.2	0.2	0.4	0.0	0.0	0.000	0.000	—	0	0
Miela Sowah	GSW	3	3.3	0.0	0.0	0.0	0.0	0.0	0.7	0.000	0.000	—	0	0

🏆 WNBA League Leaders 2026 Season

Points

1 A'ja Wilson LV 26.6 PPG

2 Kelsey Mitchell IND 23.2 PPG

3 Kelsey Plum LA 23.1 PPG

4 Breanna Stewart NY 22.1 PPG

5 Kahleah Copper PHX 21.4 PPG

View All →

Rebounds

1 Jessica Shepard DAL 11.4 RPG

2 Angel Reese ATL 11.0 RPG

3 Kiki Iriafen WSH 9.7 RPG

4 Shakira Austin WSH 9.5 RPG

5 A'ja Wilson LV 9.4 RPG

View All →

Assists

1 Alyssa Thomas PHX 8.5 APG

2 Caitlin Clark IND 8.2 APG

3 Jordin Canada ATL 7.6 APG

4 Jackie Young LV 6.9 APG

5 Chelsea Gray LV 6.8 APG

View All →

Steals

1 Rhyne Howard ATL 2.5 SPG

2 Jordin Canada ATL 2.0 SPG

3 Leila Lacan CON 1.8 SPG

4 Jaylyn Sherrod SEA 1.7 SPG

5 Angel Reese ATL 1.7 SPG

View All →

Blocks

1 Kiah Stokes GS 2.0 BPG

2 Rickea Jackson CHI 1.8 BPG

3 A'ja Wilson LV 1.8 BPG

4 Cameron Brink LA 1.6 BPG

5 Brittney Griner CON 1.6 BPG

View All →

Total Points

1 A'ja Wilson LV 983

2 Breanna Stewart NY 883

3 Kelsey Mitchell IND 860

4 Jackie Young LV 736

5 Paige Bueckers DAL 716

View All →

📰 WNBA News via ESPN

WNBA Finals 2026: Valkyries vs. Dream schedule, scores, more

A new champion is guaranteed to be crowned this season as Golden State and Atlanta meet in the WNBA Finals.

ESPN · Oct 26, 11:31am

WNBA games today: Dream-Valkyries time, where to watch

Here's what to know about Monday's WNBA Finals schedule.

ESPN · Oct 26, 11:02am

Inside Ballhalla, the basketball heaven in San Francisco

Golden State's arena has quickly become known for the best atmosphere in the W. Welcome to Ballhalla.

ESPN · Oct 26, 11:41am

Time, place unclear for Game 6 of Valkyries-Dream WNBA Finals

With the Valkyries forcing a Game 6 in the WNBA Finals, the Dream are working to resolve a scheduling issue that leaves the venue and time of the game up in the air.

ESPN · Oct 25, 3:13pm

Golden State, Atlanta tied 2-2 heading into game 5

Atlanta Dream (30-14, 15-5 Eastern Conference) at Golden State Valkyries (32-12, 15-8 Western Conference)

ESPN · Oct 25, 2:09am

WNBA Finals odds: Valkyries, Gabby Williams gain ground after Game 4 win

Golden State pulled close to even with Atlanta for the odds to claim the WNBA championship after winning Game 4.

ESPN · Oct 24, 7:06pm

Valkyries play without regrets, shut down Dream to even WNBA Finals

The Valkyries played stellar defense to beat the Dream and even the WNBA Finals at 2-2.

ESPN · Oct 25, 6:02am

Valkyries take down Dream in Game 4 to even WNBA Finals

ESPN · Oct 24, 3:56pm

📊 WNBA Standings 2025 Season

Eastern Conference

Team	W	L	PCT	GB	Strk
1 ATL	30	14	.682	-	W6
2 NY	27	17	.614	3	W3
3 IND	24	20	.545	6	W3
4 WSH	16	28	.364	14	L10
5 CON	11	33	.250	19	L2
6 CHI	10	34	.227	20	L4

Western Conference

Team	W	L	PCT	GB	Strk
1 MIN	34	10	.773	-	W1
2 LV	30	14	.682	4	W16
3 PHX	27	17	.614	7	L3
4 SEA	23	21	.523	11	W1
5 GS	23	21	.523	11	L3
6 LA	21	23	.477	13	L1
7 DAL	10	34	.227	24	W1

About PlayTakers WNBA

WNBA coverage on PlayTakers combines the daily scoreboard, standings and top performers with a full prop-projection engine so you can move from "who played last night?" to "which prop has edge tonight?" in one stop. Projections weigh recent form, matchup context and pace signals, Strong Plays and Top Plays surface the highest-confidence picks of the day, and every graded play lands in the public log so you can see what's actually hitting.

WNBA — Frequently Asked Questions

▸What WNBA player props does PlayTakers project?

WNBA coverage includes points, rebounds, assists, steals and threes made. Projections compare a fair stat line to the current sportsbook total so you can quickly find props with real edge on tonight's slate.

▸How often is WNBA data updated?

WNBA box scores, prop odds and injury reports refresh throughout the day. Projections rebuild once new games are ingested, so the edge column on the projections page reflects the latest fair-price estimate heading into tip-off.

▸Where do I find WNBA strong and top plays?

From the WNBA page, open Strong Plays for high-confidence props that cleared multiple filters, or Top Plays for the day's highest-edge picks. Trend Plays focuses on recent player form and recent hit rate against the line.

▸When are picks posted each day?

Picks are posted in the morning once the opening lines are up and refreshed through the afternoon as lineups, injuries and odds move. You can always find the latest picks on the Strong Plays and Top Plays pages, and recent graded picks show up on the home page.

▸How do you calculate edge on a player prop?

Edge compares our projection for a player's stat line to the sportsbook total on the same prop, then converts the gap to an implied percentage edge relative to the fair price. Projections blend recent form, season averages, matchup context and pace or game-script signals per sport.