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	1158	118.2+9.2	105.7-3.2	+12.4
2	457	114.4+5.4	102.2-6.8	+12.2
3	948	117.3+8.3	105.5-3.4	+11.7
4	657	120.7+11.7	109.5+0.6	+11.1
5	762	116.7+7.8	106.2-2.7	+10.5
6	1121	113.2+4.2	102.7-6.3	+10.5
7	693	118.2+9.2	107.9-1.1	+10.3
8	454	117.1+8.1	106.9-2.1	+10.2
9	1034	113.3+4.4	103.1-5.8	+10.2
10	199	115.6+6.7	105.5-3.5	+10.2
11	295	112.5+3.5	102.4-6.5	+10.1
12	1093	116.2+7.2	106.1-2.8	+10.0
13	1085	116.5+7.6	106.6-2.3	+9.9
14	997	115.8+6.8	106.0-3.0	+9.8
15	800	109.9+0.9	100.1-8.9	+9.8
16	1074	114.8+5.9	105.1-3.8	+9.7
17	163	113.8+4.8	104.2-4.8	+9.6
18	1071	116.7+7.8	107.2-1.8	+9.5
19	421	117.5+8.5	107.9-1.0	+9.5
20	235	113.2+4.2	103.7-5.3	+9.5
21	1074	116.7+7.7	107.2-1.7	+9.4
22	137	116.9+8.0	107.7-1.2	+9.2
23	675	114.1+5.2	105.0-4.0	+9.2
24	1115	114.2+5.3	105.2-3.8	+9.0
25	121	112.8+3.9	103.9-5.1	+9.0
26	894	116.9+7.9	107.9-1.1	+9.0
27	1008	115.0+6.0	106.1-2.9	+8.9
28	283	116.4+7.4	107.5-1.5	+8.9
29	379	114.1+5.1	105.2-3.8	+8.9
30	394	112.9+4.0	104.1-4.9	+8.8
31	1145	113.0+4.1	104.2-4.7	+8.8
32	890	113.3+4.3	104.5-4.5	+8.8
33	257	116.8+7.8	108.0-0.9	+8.8
34	936	115.4+6.4	106.7-2.2	+8.7
35	140	115.1+6.2	106.6-2.4	+8.5
36	160	116.3+7.4	108.0-0.9	+8.3
37	1127	112.3+3.3	104.0-5.0	+8.3
38	716	118.0+9.0	109.8+0.8	+8.2
39	194	113.1+4.1	105.0-4.0	+8.1
40	321	116.7+7.8	108.7-0.2	+8.0
41	896	116.7+7.8	108.7-0.2	+8.0
42	280	116.2+7.3	108.3-0.7	+8.0
43	730	114.3+5.4	106.4-2.6	+8.0
44	1107	115.1+6.1	107.2-1.7	+7.9
45	270	113.3+4.3	105.4-3.5	+7.8
46	717	115.8+6.9	108.1-0.8	+7.7
47	324	112.9+4.0	105.2-3.7	+7.7
48	207	113.6+4.7	106.2-2.8	+7.5
49	816	113.8+4.8	106.4-2.6	+7.4
50	254	113.6+4.6	106.2-2.8	+7.4
51	308	112.7+3.8	105.3-3.6	+7.4
52	128	112.6+3.6	105.2-3.8	+7.4
53	614	116.2+7.2	108.9-0.0	+7.2
54	1018	113.1+4.2	105.9-3.0	+7.2
55	474	114.3+5.4	107.2-1.8	+7.2
56	777	115.0+6.1	107.9-1.1	+7.1
57	535	114.1+5.1	107.0-2.0	+7.1
58	341	112.7+3.7	105.7-3.3	+7.0
59	160	115.3+6.3	108.3-0.6	+7.0
60	366	116.9+8.0	110.0+1.0	+7.0
61	401	112.5+3.5	105.5-3.5	+7.0
62	559	117.8+8.9	110.9+1.9	+7.0
63	555	116.4+7.4	109.4+0.5	+6.9
64	355	113.2+4.3	106.3-2.7	+6.9
65	305	115.9+6.9	109.1+0.1	+6.8
66	733	112.4+3.4	105.6-3.4	+6.8
67	84	112.7+3.7	106.1-2.8	+6.6
68	377	113.9+5.0	107.4-1.6	+6.6
69	425	112.3+3.3	105.7-3.2	+6.5
70	92	111.9+3.0	105.4-3.5	+6.5
71	332	114.2+5.2	107.7-1.2	+6.4
72	462	116.1+7.2	109.7+0.8	+6.4
73	26	114.0+5.1	107.7-1.3	+6.3
74	569	111.3+2.3	104.9-4.0	+6.3
75	112	115.1+6.1	108.8-0.2	+6.3
76	737	110.2+1.2	104.0-5.0	+6.2
77	169	112.6+3.6	106.5-2.5	+6.1
78	830	113.9+4.9	107.8-1.2	+6.1
79	745	115.4+6.4	109.3+0.3	+6.1
80	320	114.5+5.6	108.5-0.5	+6.1
81	407	110.3+1.4	104.3-4.7	+6.1
82	263	115.1+6.1	109.0+0.1	+6.0
83	381	115.0+6.1	109.0+0.0	+6.0
84	194	111.6+2.6	105.6-3.4	+6.0
85	162	114.3+5.4	108.4-0.6	+5.9
86	979	117.3+8.3	111.3+2.4	+5.9
87	179	111.7+2.7	105.7-3.2	+5.9
88	294	114.6+5.6	108.7-0.2	+5.9
89	132	111.7+2.7	105.9-3.1	+5.8
90	119	111.9+2.9	106.1-2.9	+5.8
91	283	114.5+5.6	108.8-0.1	+5.7
92	455	113.5+4.5	107.8-1.2	+5.7
93	732	113.7+4.8	108.2-0.8	+5.6
94	174	111.0+2.1	105.5-3.4	+5.5
95	502	112.0+3.1	106.6-2.4	+5.4
96	41	111.4+2.5	106.0-2.9	+5.4
97	259	114.4+5.5	109.1+0.1	+5.4
98	532	111.1+2.1	105.8-3.2	+5.3
99	528	108.7-0.2	103.5-5.4	+5.2
100	316	106.6-2.3	101.4-7.5	+5.2
101	578	112.1+3.1	106.9-2.1	+5.2
102	109	111.1+2.1	105.9-3.0	+5.2
103	693	114.5+5.5	109.4+0.4	+5.1
104	239	110.3+1.3	105.1-3.8	+5.1
105	130	115.6+6.6	110.5+1.5	+5.1
106	25	113.5+4.6	108.5-0.5	+5.1
107	120	113.3+4.4	108.3-0.7	+5.1
108	234	112.4+3.4	107.3-1.7	+5.1
109	61	113.8+4.8	108.7-0.2	+5.1
110	592	110.5+1.5	105.4-3.5	+5.1
111	112	111.7+2.7	106.6-2.3	+5.0
112	761	114.0+5.1	109.0+0.0	+5.0
113	56	113.2+4.3	108.2-0.7	+5.0
114	272	110.5+1.5	105.5-3.4	+5.0
115	157	111.7+2.7	106.7-2.2	+4.9
116	805	114.6+5.7	109.7+0.8	+4.9
117	340	110.9+2.0	106.1-2.9	+4.8
118	216	110.9+2.0	106.2-2.8	+4.8
119	363	114.6+5.6	109.9+0.9	+4.7
120	292	112.1+3.1	107.4-1.5	+4.7
121	41	111.6+2.6	107.0-2.0	+4.6
122	684	112.4+3.4	107.8-1.2	+4.6
123	328	112.3+3.3	107.8-1.2	+4.5
124	79	112.1+3.1	107.6-1.3	+4.4
125	213	111.0+2.0	106.6-2.4	+4.4
126	220	109.5+0.6	105.1-3.8	+4.4
127	324	113.5+4.5	109.1+0.2	+4.4
128	54	114.2+5.3	109.9+1.0	+4.3
129	167	113.4+4.5	109.1+0.2	+4.3
130	84	111.1+2.2	106.8-2.1	+4.3
131	125	109.7+0.7	105.4-3.6	+4.3
132	194	112.1+3.2	107.9-1.1	+4.2
133	180	112.0+3.0	107.8-1.2	+4.2
134	716	111.5+2.6	107.3-1.6	+4.2
135	226	109.4+0.4	105.2-3.8	+4.2
136	818	112.5+3.6	108.3-0.6	+4.2
137	135	108.7-0.2	104.6-4.4	+4.2
138	209	110.6+1.6	106.4-2.6	+4.2
139	800	114.5+5.6	110.4+1.4	+4.1
140	294	109.2+0.2	105.0-3.9	+4.1
141	187	113.2+4.3	109.1+0.1	+4.1
142	83	111.9+3.0	107.8-1.2	+4.1
143	633	107.9-1.1	103.8-5.1	+4.1
144	43	111.4+2.4	107.3-1.7	+4.1
145	205	111.5+2.6	107.5-1.5	+4.1
146	50	111.1+2.2	107.1-1.9	+4.1
147	311	111.9+2.9	107.9-1.1	+4.0
148	328	111.5+2.5	107.5-1.5	+4.0
149	162	111.2+2.2	107.2-1.8	+4.0
150	168	114.7+5.7	110.7+1.7	+4.0
151	115	111.7+2.7	107.7-1.2	+4.0
152	362	110.8+1.9	106.9-2.1	+3.9
153	506	112.3+3.4	108.4-0.6	+3.9
154	1069	113.3+4.3	109.4+0.4	+3.9
155	458	114.6+5.7	110.8+1.8	+3.9
156	112	110.9+1.9	107.0-2.0	+3.9
157	35	110.6+1.6	106.8-2.2	+3.8
158	39	112.0+3.1	108.2-0.8	+3.8
159	695	105.3-3.6	101.5-7.4	+3.8
160	26	111.2+2.2	107.4-1.5	+3.8
161	58	112.4+3.4	108.6-0.3	+3.7
162	201	112.8+3.8	109.0+0.1	+3.7
163	115	112.9+3.9	109.2+0.2	+3.7
164	317	108.3-0.6	104.7-4.3	+3.7
165	125	110.1+1.2	106.5-2.5	+3.7
166	29	110.7+1.8	107.1-1.9	+3.7
167	416	110.4+1.4	106.7-2.2	+3.6
168	420	113.7+4.8	110.1+1.1	+3.6
169	469	112.6+3.7	109.0+0.1	+3.6
170	173	112.3+3.4	108.7-0.2	+3.6
171	18	111.2+2.2	107.6-1.4	+3.6
172	128	112.8+3.9	109.2+0.3	+3.6
173	360	110.4+1.4	106.9-2.1	+3.5
174	703	111.4+2.4	107.9-1.1	+3.5
175	77	110.7+1.7	107.2-1.8	+3.5
176	141	114.6+5.6	111.2+2.2	+3.4
177	670	114.4+5.4	111.0+2.1	+3.4
178	50	110.3+1.4	107.0-2.0	+3.4
179	418	111.3+2.3	107.9-1.0	+3.3
180	204	110.3+1.4	107.0-2.0	+3.3
181	125	112.4+3.4	109.0+0.1	+3.3
182	53	109.6+0.7	106.3-2.6	+3.3
183	164	110.5+1.5	107.2-1.8	+3.3
184	54	112.1+3.1	108.8-0.2	+3.3
185	73	110.3+1.3	107.0-1.9	+3.3
186	332	110.7+1.7	107.4-1.6	+3.3
187	128	112.1+3.1	108.9-0.1	+3.2
188	182	110.4+1.5	107.2-1.8	+3.2
189	87	110.7+1.7	107.5-1.5	+3.2
190	386	109.5+0.5	106.3-2.6	+3.2
191	39	110.4+1.4	107.2-1.7	+3.1
192	58	110.4+1.4	107.3-1.7	+3.1
193	268	110.0+1.1	106.9-2.1	+3.1
194	44	110.7+1.7	107.6-1.4	+3.1
195	31	111.0+2.0	107.9-1.1	+3.1
196	152	110.2+1.3	107.1-1.8	+3.1
197	141	110.3+1.3	107.2-1.7	+3.1
198	1028	112.1+3.1	109.1+0.1	+3.0
199	461	106.9-2.1	103.9-5.1	+3.0
200	1012	111.4+2.4	108.4-0.6	+3.0

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.