← All Connections

If You Like Pac-Man

Gaming

Based on real preference data from thousands of voters, here's what fans of Pac-Man also love. Use these connections to discover your next favorite.

114 connections found

114 connections
Sort by
1
25x
131 voters
2
24x
117 voters
4
21x
123 voters
5
21x
59 voters
6
20x
77 voters
7
19x
93 voters
8
19x
66 voters
9
18x
56 voters
10
17x
98 voters
11
17x
101 voters
12
16x
51 voters
13
16x
89 voters
14
16x
56 voters
15
15x
86 voters
16
15x
80 voters
17
14x
71 voters
18
13x
93 voters
19
12x
50 voters
20
12x
100 voters
21
12x
52 voters
22
11x
58 voters
24
11x
69 voters
25
11x
74 voters
27
11x
70 voters
28
10x
94 voters
29
10x
71 voters
31
9.6x
55 voters
37
7.3x
57 voters
39
6.9x
53 voters
40
6.7x
102 voters
41
6.7x
51 voters
42
6.6x
62 voters
43
6.6x
64 voters
44
6.4x
59 voters
45
6.4x
63 voters
46
6.3x
65 voters
48
5.9x
65 voters
49
5.8x
55 voters
51
5.6x
59 voters
52
5.6x
52 voters
53
5.5x
54 voters
54
4.9x
56 voters
55
4.8x
59 voters
56
4.5x
62 voters
57
4.5x
70 voters
58
4.4x
50 voters
60
4.0x
53 voters
61
3.8x
58 voters
62
3.8x
76 voters
63
3.8x
109 voters
64
3.7x
69 voters
65
3.6x
97 voters
66
3.4x
121 voters
67
3.4x
62 voters
68
3.0x
52 voters
70
2.7x
62 voters
72
0.2x
4 voters
73
0.2x
7 voters
74
0.2x
9 voters
76
0.2x
5 voters
77
0.1x
4 voters
78
0.1x
3 voters
79
0.1x
3 voters
80
0.1x
3 voters
81
0.1x
3 voters
82
0.1x
3 voters
83
0.1x
4 voters
85
0.1x
5 voters
90
0.1x
3 voters
93
0.1x
4 voters
94
0.1x
3 voters
95
0.1x
5 voters
96
0.1x
5 voters
97
0.1x
3 voters
98
0.0x
3 voters
99
0.0x
3 voters
100
0.0x
4 voters
103
0.0x
4 voters
104
0.0x
4 voters
105
0.0x
7 voters
107
0.0x
5 voters
108
0.0x
3 voters
109
0.0x
10 voters
110
0.0x
8 voters
114
0.0x
9 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 Pac-Man consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Pac-Man 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.