← All Connections

If You Like Night in the Woods

Gaming

Based on real preference data from thousands of voters, here's what fans of Night in the Woods also love. Use these connections to discover your next favorite.

111 connections found

111 connections
Sort by
1
59x
69 voters
4
24x
63 voters
5
22x
50 voters
6
16x
99 voters
7
13x
65 voters
8
12x
77 voters
9
9.6x
56 voters
10
3.4x
55 voters
11
0.5x
6 voters
12
0.3x
4 voters
13
0.3x
6 voters
14
0.2x
3 voters
15
0.2x
5 voters
16
0.2x
3 voters
17
0.2x
3 voters
19
0.2x
5 voters
20
0.2x
3 voters
22
0.2x
3 voters
23
0.2x
3 voters
26
0.2x
5 voters
27
0.2x
3 voters
28
0.2x
3 voters
29
0.1x
7 voters
31
0.1x
3 voters
32
0.1x
4 voters
33
0.1x
4 voters
35
0.1x
3 voters
36
0.1x
3 voters
39
0.1x
3 voters
40
0.1x
3 voters
41
0.1x
4 voters
42
0.1x
3 voters
43
0.1x
3 voters
44
0.1x
3 voters
46
0.1x
3 voters
48
0.1x
3 voters
49
0.1x
4 voters
50
0.1x
3 voters
51
0.1x
4 voters
53
0.1x
3 voters
55
0.1x
6 voters
56
0.1x
7 voters
57
0.1x
7 voters
58
0.1x
4 voters
60
0.1x
4 voters
62
0.1x
5 voters
64
0.1x
3 voters
66
0.1x
3 voters
67
0.1x
3 voters
68
0.1x
4 voters
69
0.1x
3 voters
70
0.1x
3 voters
72
0.1x
3 voters
73
0.1x
3 voters
74
0.1x
3 voters
76
0.1x
5 voters
77
0.1x
4 voters
78
0.1x
4 voters
79
0.0x
4 voters
80
0.0x
4 voters
81
0.0x
3 voters
82
0.0x
3 voters
83
0.0x
3 voters
84
0.0x
6 voters
85
0.0x
3 voters
87
0.0x
3 voters
89
0.0x
4 voters
90
0.0x
3 voters
91
0.0x
5 voters
92
0.0x
3 voters
93
0.0x
3 voters
95
0.0x
3 voters
96
0.0x
3 voters
97
0.0x
3 voters
98
0.0x
14 voters
99
0.0x
4 voters
100
0.0x
4 voters
101
0.0x
3 voters
103
0.0x
6 voters
104
0.0x
6 voters
105
0.0x
4 voters
108
0.0x
7 voters
109
0.0x
3 voters
111
0.0x
8 voters

How does this work?

These recommendations are based on real voting data, not algorithms. When thousands of people vote on their favorites, patterns emerge — people who love Night in the Woods consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Night in the Woods are to enjoy each recommendation compared to the average person.

Unlike algorithmic recommendations, these connections come from actual human preferences. A high strength score means the connection is genuine — not just because two items share a category, but because the same people genuinely love both.