WOWY Lineups

Compare the best padded lineups from across the league and drill directly into team WOWY pages.

databallr

2-Man League Leaders • 2027 • Regular Season

Padded • All Leverage • Top 200

2-MAN LINEUPS
1
220
118.3+5.4
105.6-7.3
+12.6
2
235
124.0+11.1
111.5-1.4
+12.5
3
204
122.4+9.5
111.7-1.2
+10.6
4
171
116.8+3.9
106.6-6.3
+10.2
5
222
117.9+5.0
107.9-5.0
+10.0
6
216
116.7+3.8
107.6-5.3
+9.1
7
144
119.2+6.3
110.3-2.6
+8.8
8
219
116.7+3.8
107.9-5.0
+8.8
9
212
116.4+3.5
108.0-4.9
+8.5
10
177
115.1+2.2
107.0-6.0
+8.2
11
202
117.8+4.9
109.7-3.2
+8.1
12
80
119.9+7.0
111.9-1.0
+8.0
13
82
117.8+4.9
109.8-3.1
+8.0
14
200
114.7+1.8
106.8-6.2
+8.0
15
159
118.9+6.0
111.1-1.8
+7.8
16
107
118.7+5.8
110.9-2.1
+7.8
17
208
114.9+2.0
107.2-5.7
+7.7
18
171
121.0+8.1
113.3+0.4
+7.7
19
40
117.7+4.8
110.1-2.8
+7.6
20
79
117.0+4.1
109.5-3.4
+7.5
21
110
116.8+3.9
109.4-3.5
+7.4
22
264
116.5+3.6
109.2-3.7
+7.3
23
68
115.5+2.6
108.2-4.7
+7.3
24
119
117.1+4.2
109.8-3.1
+7.2
25
109
117.8+4.9
110.7-2.2
+7.1
26
131
117.8+4.9
111.0-1.9
+6.8
27
43
118.9+6.0
112.1-0.9
+6.8
28
89
118.3+5.4
111.5-1.4
+6.8
29
53
116.3+3.4
109.5-3.4
+6.8
30
175
119.2+6.3
112.6-0.3
+6.7
31
69
118.3+5.4
111.7-1.2
+6.6
32
117
120.6+7.7
114.0+1.1
+6.6
33
40
116.3+3.4
109.8-3.2
+6.6
34
156
118.3+5.4
111.8-1.1
+6.5
35
290
119.6+6.7
113.1+0.2
+6.5
36
133
116.6+3.7
110.2-2.7
+6.5
37
187
116.6+3.7
110.2-2.7
+6.4
38
79
120.4+7.5
114.0+1.1
+6.4
39
82
119.9+7.0
113.5+0.6
+6.4
40
103
116.6+3.6
110.2-2.7
+6.4
41
78
114.9+2.0
108.5-4.4
+6.4
42
130
119.8+6.9
113.4+0.5
+6.4
43
143
117.3+4.4
111.0-1.9
+6.3
44
111
116.6+3.7
110.2-2.7
+6.3
45
29
117.7+4.8
111.4-1.5
+6.3
46
91
113.8+0.9
107.5-5.4
+6.3
47
134
116.5+3.6
110.3-2.6
+6.2
48
160
114.2+1.3
108.0-4.9
+6.2
49
172
117.9+5.0
111.7-1.2
+6.2
50
32
116.3+3.4
110.3-2.6
+6.1
51
70
116.3+3.4
110.3-2.6
+6.0
52
130
120.7+7.8
114.7+1.8
+6.0
53
66
115.6+2.7
109.6-3.3
+5.9
54
136
117.8+4.9
111.8-1.1
+5.9
55
96
118.0+5.1
112.0-0.9
+5.9
56
206
115.3+2.4
109.4-3.5
+5.9
57
107
116.1+3.2
110.4-2.6
+5.8
58
97
117.2+4.3
111.5-1.5
+5.8
59
88
115.3+2.4
109.6-3.3
+5.7
60
207
114.3+1.4
108.6-4.3
+5.7
61
197
116.2+3.3
110.5-2.4
+5.7
62
71
115.1+2.2
109.4-3.5
+5.7
63
69
116.5+3.6
110.9-2.0
+5.6
64
119
117.1+4.2
111.5-1.4
+5.6
65
212
117.6+4.7
112.0-0.9
+5.6
66
192
116.6+3.7
111.1-1.8
+5.5
67
203
114.3+1.3
108.7-4.2
+5.5
68
166
116.4+3.5
110.9-2.0
+5.5
69
228
118.0+5.1
112.5-0.4
+5.5
70
168
116.6+3.7
111.3-1.6
+5.3
71
132
119.9+7.0
114.7+1.7
+5.3
72
38
115.7+2.8
110.5-2.4
+5.2
73
99
115.4+2.4
110.2-2.7
+5.2
74
154
118.3+5.4
113.2+0.3
+5.2
75
46
118.8+5.9
113.6+0.7
+5.2
76
152
116.5+3.6
111.4-1.5
+5.1
77
100
117.2+4.3
112.1-0.8
+5.1
78
79
113.0+0.1
108.0-4.9
+5.0
79
65
118.5+5.6
113.4+0.5
+5.0
80
94
114.1+1.2
109.1-3.8
+5.0
81
71
115.6+2.7
110.6-2.3
+5.0
82
195
114.1+1.2
109.1-3.8
+5.0
83
35
115.5+2.6
110.6-2.4
+4.9
84
121
112.9-0.0
108.0-4.9
+4.9
85
36
117.4+4.5
112.5-0.4
+4.9
86
178
116.3+3.4
111.5-1.5
+4.9
87
119
115.6+2.7
110.8-2.1
+4.9
88
101
114.7+1.8
109.9-3.1
+4.8
89
101
116.9+4.0
112.1-0.9
+4.8
90
18
115.8+2.8
110.9-2.0
+4.8
91
104
115.0+2.1
110.2-2.7
+4.8
92
27
115.8+2.9
111.0-1.9
+4.8
93
63
116.9+4.0
112.2-0.8
+4.8
94
133
115.0+2.1
110.2-2.7
+4.8
95
130
115.5+2.6
110.8-2.1
+4.7
96
224
117.7+4.8
112.9+0.0
+4.7
97
112
116.1+3.2
111.4-1.5
+4.7
98
96
115.6+2.7
110.9-2.0
+4.7
99
53
118.1+5.2
113.5+0.5
+4.7
100
211
117.4+4.5
112.8-0.1
+4.6
101
49
117.5+4.6
112.9+0.0
+4.6
102
83
115.7+2.8
111.1-1.8
+4.6
103
59
115.3+2.4
110.7-2.2
+4.6
104
68
117.2+4.2
112.6-0.3
+4.6
105
210
116.2+3.3
111.7-1.2
+4.5
106
162
115.6+2.7
111.1-1.8
+4.5
107
112
120.1+7.1
115.5+2.6
+4.5
108
18
115.3+2.4
110.8-2.1
+4.5
109
43
115.2+2.3
110.8-2.2
+4.5
110
99
116.1+3.2
111.6-1.3
+4.5
111
147
116.3+3.4
111.9-1.1
+4.4
112
82
114.0+1.1
109.6-3.3
+4.4
113
143
116.5+3.6
112.1-0.8
+4.4
114
10
115.4+2.4
111.0-2.0
+4.4
115
99
115.7+2.7
111.3-1.7
+4.4
116
120
118.0+5.1
113.6+0.7
+4.4
117
125
116.5+3.6
112.1-0.8
+4.4
118
86
116.5+3.6
112.1-0.8
+4.4
119
163
113.1+0.2
108.8-4.1
+4.4
120
165
114.7+1.7
110.3-2.6
+4.3
121
56
113.6+0.7
109.3-3.6
+4.3
122
79
118.3+5.4
114.0+1.1
+4.3
123
33
115.0+2.1
110.8-2.1
+4.2
124
167
113.8+0.9
109.6-3.3
+4.2
125
153
116.1+3.2
111.9-1.0
+4.2
126
95
115.4+2.5
111.2-1.7
+4.2
127
104
115.0+2.1
110.8-2.1
+4.2
128
120
113.8+0.9
109.7-3.2
+4.2
129
32
114.5+1.6
110.4-2.5
+4.2
130
44
115.0+2.1
110.8-2.1
+4.1
131
114
116.0+3.1
111.9-1.0
+4.1
132
61
114.9+2.0
110.8-2.1
+4.1
133
22
116.1+3.2
112.0-0.9
+4.1
134
201
115.9+3.0
111.8-1.1
+4.1
135
140
115.0+2.1
110.9-2.0
+4.1
136
58
116.1+3.2
112.0-0.9
+4.1
137
34
117.4+4.5
113.3+0.4
+4.1
138
100
112.6-0.3
108.5-4.4
+4.1
139
53
115.3+2.4
111.3-1.6
+4.0
140
45
115.4+2.5
111.3-1.6
+4.0
141
32
115.0+2.1
110.9-2.0
+4.0
142
73
115.1+2.1
111.0-1.9
+4.0
143
76
117.7+4.8
113.7+0.7
+4.0
144
77
112.1-0.8
108.1-4.8
+4.0
145
32
115.7+2.8
111.8-1.1
+4.0
146
124
116.6+3.7
112.6-0.3
+4.0
147
218
117.3+4.4
113.4+0.5
+3.9
148
80
115.2+2.3
111.3-1.7
+3.9
149
55
115.5+2.6
111.6-1.3
+3.9
150
227
113.6+0.7
109.7-3.2
+3.9
151
60
115.6+2.7
111.7-1.2
+3.9
152
105
115.1+2.2
111.1-1.8
+3.9
153
78
117.9+5.0
114.0+1.1
+3.9
154
41
117.0+4.0
113.0+0.1
+3.9
155
60
118.7+5.8
114.8+1.9
+3.9
156
176
117.8+4.9
113.9+1.0
+3.9
157
85
117.9+5.0
114.0+1.1
+3.9
158
165
117.4+4.5
113.5+0.6
+3.9
159
102
116.5+3.6
112.6-0.3
+3.9
160
85
117.9+5.0
114.1+1.2
+3.9
161
28
115.1+2.2
111.3-1.6
+3.9
162
41
114.8+1.8
110.9-2.0
+3.8
163
36
116.1+3.1
112.2-0.7
+3.8
164
146
115.9+3.0
112.0-0.9
+3.8
165
51
114.8+1.9
111.0-2.0
+3.8
166
217
117.1+4.2
113.3+0.4
+3.8
167
81
116.9+4.0
113.1+0.2
+3.8
168
34
116.5+3.6
112.7-0.2
+3.8
169
37
115.7+2.8
111.9-1.0
+3.8
170
173
117.3+4.4
113.5+0.6
+3.7
171
60
116.5+3.6
112.8-0.1
+3.7
172
54
116.4+3.5
112.8-0.1
+3.6
173
126
115.0+2.1
111.4-1.5
+3.6
174
37
114.4+1.5
110.8-2.1
+3.6
175
83
114.2+1.3
110.7-2.2
+3.6
176
89
115.1+2.2
111.6-1.3
+3.6
177
29
115.6+2.7
112.1-0.9
+3.5
178
29
115.6+2.7
112.1-0.8
+3.5
179
53
117.7+4.8
114.1+1.2
+3.5
180
77
116.1+3.2
112.6-0.3
+3.5
181
148
115.2+2.3
111.7-1.2
+3.5
182
83
117.1+4.2
113.6+0.7
+3.5
183
29
115.1+2.2
111.7-1.3
+3.5
184
79
114.9+2.0
111.5-1.4
+3.5
185
107
117.1+4.2
113.6+0.7
+3.5
186
220
116.5+3.6
113.1+0.2
+3.5
187
94
113.7+0.8
110.3-2.6
+3.4
188
73
115.1+2.2
111.7-1.2
+3.4
189
73
115.8+2.9
112.3-0.6
+3.4
190
65
115.1+2.2
111.6-1.3
+3.4
191
107
117.3+4.3
113.8+0.9
+3.4
192
26
114.2+1.3
110.8-2.1
+3.4
193
16
114.8+1.9
111.4-1.5
+3.4
194
54
114.2+1.3
110.9-2.1
+3.4
195
90
115.6+2.7
112.2-0.7
+3.4
196
143
115.0+2.1
111.6-1.3
+3.4
197
122
114.7+1.8
111.4-1.6
+3.4
198
177
114.9+2.0
111.6-1.4
+3.4
199
40
114.6+1.6
111.2-1.7
+3.3
200
128
114.6+1.7
111.3-1.7
+3.3
Click a team icon to filter. Click a lineup to open the lineup card. Click a stat header to sort.
What is NBA WOWY analysis?

What is NBA WOWY analysis?

NBA 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-man to 5-man 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
Raw
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.