WNBA WOWY Lineups

WNBA league-wide padded 2-woman to 5-woman lineup leaderboard

databallr

2-Woman League Leaders • 2026 • Regular Season

Padded • All Leverage • Top 200


1	417	115.7+6.6	103.4-5.6	+12.2
2	909	117.3+8.3	105.4-3.6	+11.9
3	621	120.7+11.6	109.0+0.0	+11.6
4	1097	117.5+8.5	106.1-2.9	+11.4
5	1060	116.2+7.2	105.9-3.1	+10.3
6	454	117.1+8.1	106.9-2.1	+10.2
7	964	115.9+6.9	105.9-3.2	+10.1
8	182	115.4+6.4	105.4-3.6	+10.0
9	1016	116.9+7.9	107.0-2.0	+9.9
10	394	117.3+8.3	107.6-1.5	+9.7
11	107	113.5+4.5	103.8-5.2	+9.7
12	726	116.3+7.2	106.8-2.2	+9.5
13	846	117.0+8.0	107.7-1.4	+9.4
14	1039	116.1+7.1	106.8-2.2	+9.3
15	994	113.0+4.0	103.7-5.3	+9.3
16	753	110.7+1.7	101.5-7.6	+9.3
17	352	114.6+5.6	105.4-3.7	+9.2
18	661	117.6+8.5	108.3-0.7	+9.2
19	1080	112.8+3.8	103.6-5.4	+9.2
20	669	114.3+5.3	105.2-3.9	+9.1
21	265	112.1+3.1	103.0-6.0	+9.1
22	1038	114.7+5.7	105.6-3.4	+9.1
23	251	116.9+7.9	107.9-1.1	+9.0
24	134	114.6+5.5	105.6-3.4	+9.0
25	1025	116.3+7.3	107.5-1.5	+8.8
26	354	114.8+5.8	106.0-3.0	+8.8
27	695	118.1+9.0	109.4+0.3	+8.7
28	274	116.4+7.3	107.7-1.4	+8.7
29	271	117.0+8.0	108.5-0.6	+8.6
30	140	115.2+6.1	106.6-2.4	+8.5
31	974	114.7+5.7	106.3-2.8	+8.5
32	207	112.5+3.5	104.1-4.9	+8.4
33	1052	115.3+6.3	107.0-2.0	+8.3
34	864	113.1+4.0	104.8-4.3	+8.3
35	908	115.2+6.1	106.9-2.2	+8.3
36	160	116.4+7.3	108.1-0.9	+8.3
37	194	113.1+4.1	105.0-4.0	+8.1
38	1078	113.9+4.9	105.8-3.3	+8.1
39	593	116.5+7.5	108.4-0.6	+8.1
40	280	116.3+7.2	108.3-0.7	+7.9
41	712	114.2+5.2	106.3-2.8	+7.9
42	1110	112.7+3.7	105.0-4.1	+7.7
43	238	114.5+5.5	106.8-2.2	+7.7
44	717	115.9+6.8	108.2-0.9	+7.7
45	528	117.9+8.9	110.3+1.3	+7.6
46	295	114.1+5.0	106.5-2.5	+7.5
47	856	116.1+7.0	108.5-0.5	+7.5
48	533	116.4+7.3	108.9-0.1	+7.5
49	792	113.8+4.8	106.4-2.6	+7.4
50	293	112.8+3.8	105.4-3.6	+7.4
51	112	112.6+3.6	105.2-3.8	+7.4
52	22	114.8+5.7	107.4-1.7	+7.4
53	474	114.4+5.3	107.2-1.8	+7.2
54	287	115.7+6.7	108.6-0.5	+7.1
55	777	115.1+6.0	107.9-1.1	+7.1
56	71	112.6+3.5	105.5-3.5	+7.1
57	712	112.6+3.5	105.5-3.5	+7.1
58	27	115.4+6.4	108.4-0.7	+7.0
59	456	116.5+7.5	109.5+0.5	+7.0
60	112	115.5+6.5	108.5-0.5	+7.0
61	160	115.3+6.3	108.4-0.7	+7.0
62	1083	111.7+2.6	104.7-4.3	+7.0
63	491	114.5+5.5	107.6-1.4	+6.9
64	97	112.7+3.6	106.0-3.0	+6.7
65	985	113.0+4.0	106.4-2.6	+6.6
66	32	114.7+5.6	108.1-1.0	+6.6
67	235	112.7+3.7	106.3-2.7	+6.4
68	371	112.7+3.6	106.3-2.7	+6.4
69	320	114.9+5.9	108.6-0.5	+6.4
70	112	115.1+6.1	108.9-0.2	+6.2
71	334	116.6+7.6	110.4+1.4	+6.2
72	737	110.2+1.2	104.0-5.0	+6.2
73	258	115.1+6.0	108.9-0.1	+6.1
74	169	112.6+3.6	106.5-2.5	+6.1
75	921	117.1+8.1	111.0+2.0	+6.1
76	830	113.9+4.9	107.8-1.2	+6.1
77	259	115.0+5.9	108.9-0.1	+6.1
78	407	110.4+1.3	104.3-4.7	+6.1
79	158	114.5+5.5	108.5-0.5	+6.0
80	194	111.6+2.6	105.6-3.4	+6.0
81	119	112.9+3.9	107.0-2.1	+5.9
82	179	111.7+2.7	105.8-3.2	+5.9
83	15	113.6+4.6	107.7-1.3	+5.9
84	355	113.4+4.4	107.5-1.5	+5.9
85	191	112.6+3.6	106.8-2.3	+5.8
86	540	110.6+1.6	104.9-4.1	+5.7
87	726	115.1+6.0	109.4+0.3	+5.7
88	283	114.6+5.5	108.9-0.2	+5.7
89	316	113.7+4.7	108.0-1.0	+5.7
90	455	113.5+4.5	107.8-1.2	+5.7
91	291	114.3+5.2	108.7-0.4	+5.6
92	174	111.1+2.0	105.6-3.4	+5.5
93	41	111.5+2.5	106.1-2.9	+5.4
94	255	114.4+5.4	109.0-0.0	+5.4
95	336	112.3+3.3	107.1-2.0	+5.3
96	297	112.2+3.2	107.0-2.1	+5.2
97	528	108.8-0.3	103.6-5.5	+5.2
98	109	111.1+2.1	106.0-3.1	+5.2
99	130	115.6+6.6	110.5+1.5	+5.1
100	120	113.4+4.4	108.3-0.7	+5.1
101	210	111.4+2.4	106.4-2.7	+5.1
102	761	114.0+5.0	109.0-0.0	+5.0
103	56	113.3+4.3	108.3-0.7	+5.0
104	96	111.3+2.2	106.3-2.7	+5.0
105	216	112.6+3.5	107.6-1.4	+4.9
106	304	114.8+5.8	109.9+0.9	+4.9
107	531	112.5+3.4	107.6-1.4	+4.8
108	385	111.5+2.5	106.7-2.3	+4.8
109	194	113.2+4.2	108.5-0.6	+4.7
110	292	112.1+3.1	107.5-1.6	+4.7
111	280	108.0-1.1	103.3-5.7	+4.7
112	502	110.3+1.3	105.7-3.3	+4.6
113	674	114.1+5.0	109.5+0.5	+4.5
114	460	111.4+2.3	106.9-2.1	+4.5
115	328	112.3+3.3	107.8-1.2	+4.5
116	79	112.1+3.1	107.7-1.3	+4.4
117	213	111.0+2.0	106.6-2.4	+4.4
118	220	109.6+0.5	105.2-3.9	+4.4
119	280	109.3+0.3	105.0-4.1	+4.4
120	197	111.4+2.4	107.1-1.9	+4.3
121	23	111.7+2.7	107.5-1.6	+4.3
122	125	109.7+0.7	105.4-3.6	+4.3
123	330	110.7+1.7	106.5-2.6	+4.3
124	167	112.8+3.7	108.5-0.5	+4.2
125	180	112.0+3.0	107.8-1.2	+4.2
126	226	109.4+0.4	105.3-3.8	+4.2
127	818	112.5+3.5	108.4-0.7	+4.2
128	692	113.5+4.5	109.4+0.3	+4.2
129	83	112.0+2.9	107.9-1.2	+4.1
130	560	109.6+0.6	105.5-3.5	+4.1
131	665	112.3+3.2	108.2-0.9	+4.1
132	633	107.9-1.1	103.9-5.2	+4.1
133	205	111.6+2.5	107.5-1.5	+4.1
134	63	112.2+3.2	108.2-0.9	+4.0
135	1020	113.4+4.4	109.4+0.4	+4.0
136	162	111.2+2.2	107.3-1.8	+4.0
137	168	114.7+5.7	110.7+1.7	+4.0
138	115	111.7+2.7	107.8-1.3	+4.0
139	206	110.5+1.4	106.6-2.5	+3.9
140	285	111.7+2.6	107.8-1.2	+3.9
141	172	111.2+2.2	107.4-1.7	+3.9
142	766	114.5+5.4	110.6+1.6	+3.9
143	350	110.8+1.7	106.9-2.1	+3.9
144	39	112.1+3.1	108.3-0.8	+3.8
145	757	114.0+5.0	110.3+1.2	+3.8
146	26	111.3+2.2	107.5-1.5	+3.8
147	154	112.9+3.9	109.2+0.2	+3.7
148	58	112.4+3.4	108.7-0.4	+3.7
149	658	106.3-2.8	102.5-6.5	+3.7
150	419	113.9+4.9	110.2+1.2	+3.7
151	243	110.7+1.6	107.0-2.1	+3.7
152	115	112.9+3.9	109.2+0.2	+3.7
153	103	111.1+2.0	107.4-1.7	+3.7
154	29	110.8+1.8	107.1-1.9	+3.7
155	491	112.3+3.2	108.6-0.4	+3.6
156	320	111.4+2.3	107.8-1.3	+3.6
157	469	112.7+3.6	109.1+0.0	+3.6
158	201	110.5+1.5	107.0-2.0	+3.5
159	360	110.4+1.4	106.9-2.1	+3.5
160	703	111.4+2.3	107.9-1.2	+3.5
161	308	113.0+4.0	109.6+0.6	+3.4
162	372	110.0+1.0	106.7-2.4	+3.4
163	141	114.6+5.6	111.2+2.2	+3.4
164	177	113.7+4.6	110.3+1.3	+3.4
165	50	110.4+1.4	107.0-2.0	+3.4
166	418	111.3+2.3	108.0-1.1	+3.3
167	666	114.5+5.4	111.2+2.1	+3.3
168	125	112.4+3.4	109.1+0.1	+3.3
169	53	109.7+0.6	106.4-2.6	+3.3
170	73	110.4+1.3	107.1-1.9	+3.3
171	240	109.1+0.1	105.9-3.1	+3.2
172	143	110.3+1.3	107.1-1.9	+3.2
173	87	110.7+1.7	107.5-1.5	+3.2
174	964	111.5+2.4	108.3-0.7	+3.2
175	58	110.5+1.4	107.3-1.7	+3.1
176	443	107.2-1.8	104.1-5.0	+3.1
177	73	110.4+1.4	107.3-1.7	+3.1
178	268	110.1+1.0	107.0-2.1	+3.1
179	238	109.0-0.0	105.9-3.1	+3.1
180	44	110.8+1.7	107.7-1.4	+3.1
181	469	110.6+1.6	107.6-1.4	+3.0
182	39	110.5+1.4	107.5-1.5	+2.9
183	249	112.0+3.0	109.1+0.1	+2.9
184	38	111.0+1.9	108.1-0.9	+2.9
185	299	108.1-0.9	105.2-3.8	+2.9
186	288	109.1+0.0	106.2-2.8	+2.8
187	25	111.8+2.8	109.0-0.1	+2.8
188	968	112.4+3.4	109.6+0.6	+2.8
189	99	111.0+2.0	108.2-0.8	+2.8
190	82	108.9-0.1	106.1-2.9	+2.8
191	176	112.2+3.1	109.4+0.3	+2.8
192	66	110.8+1.8	108.0-1.0	+2.8
193	60	112.5+3.4	109.7+0.7	+2.8
194	135	112.0+3.0	109.2+0.2	+2.8
195	286	110.5+1.5	107.8-1.3	+2.7
196	50	111.7+2.6	108.9-0.1	+2.7
197	84	108.5-0.6	105.8-3.3	+2.7
198	126	107.6-1.4	104.9-4.2	+2.7
199	158	110.5+1.5	107.8-1.2	+2.7
200	29	110.8+1.8	108.1-0.9	+2.7

Click a team icon to filter. Click a lineup to open the lineup card. Click a stat header to sort.

What is WNBA WOWY analysis?

WNBA WOWY, short for With or Without You, compares how a team performs with specific players or lineups on and off the court across selected seasons, leverage filters, and lineup sizes. databallr lets you study minutes, offensive rating, defensive rating, net rating, shooting, turnovers, and rebounding across those same filters.

What does on-off tell you?

On-off results describe how team performance changed across the selected minutes. They provide context but do not prove that one player caused the full difference because teammates, opponents, roles, and sample size also matter.

How do lineup modes differ?

WOWY mode compares with-and-without combinations for selected players. The 2-woman to 5-woman modes rank exact lineup sizes, so you can move from player-pair context to full five-player units.

Why are league leaders padded?

League Leaders adds league-average performance to 550 offensive and 850 defensive possessions to reduce extreme small-sample ratings while keeping larger-minute lineups closer to their observed results.

Small samples dominate a raw leaderboard. A 10-minute +40 NET sits above a 400-minute +12. A minutes cutoff just moves the problem: the lineup that barely clears it still has an easier path to an extreme rating.

So every lineup starts with a league-average prior: about 266 offensive minutes and 410 defensive minutes (550 offensive possessions and 850 defensive possessions). Extreme 10-minute ratings get tempered. Larger samples keep more of what they earned. Defense is padded more because it takes longer to stabilize.

At 266 real minutes, a +10 offensive edge is cut to +5.0. The same +10 defensive edge keeps about 39.3% and lands at +3.9.

Padding sandbox

Minutes

266min

OFF edge

DEF edge

Raw

OFF

+10.0

DEF

+10.0

NET

+20.0

Raw→Padded→Net

OFF

+10.0

DEF

+10.0

NET

+20.0

OFF

50.0%

kept

Raw

+10.0

Padded

+5.0

50.0%50.0%

266sample266prior

DEF

39.3%

kept

Raw

+10.0

Padded

+3.9

39.3%60.7%

266sample410prior

Net

+8.9

+20.0 → +8.9

Dropped

+11.1

Kept

44.7%

Need a metric definition? Use the databallr Stats Glossary.