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If You Like Legends(2014)

TV

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

119 connections found

119 connections
Sort by
1
83x
74 voters
3
65x
50 voters
4
59x
84 voters
5
51x
54 voters
6
40x
52 voters
7
38x
84 voters
8
36x
57 voters
9
35x
70 voters
10
34x
55 voters
11
33x
78 voters
12
33x
50 voters
13
31x
53 voters
14
29x
53 voters
15
25x
54 voters
16
24x
68 voters
17
23x
67 voters
19
21x
97 voters
20
18x
52 voters
21
17x
61 voters
22
15x
57 voters
24
13x
74 voters
25
13x
61 voters
26
12x
82 voters
27
11x
67 voters
28
10x
58 voters
29
8.6x
50 voters
30
7.8x
61 voters
31
7.6x
57 voters
32
6.5x
62 voters
33
4.4x
59 voters
34
3.3x
56 voters
35
2.5x
66 voters
36
2.3x
72 voters
37
0.1x
8 voters
39
0.1x
6 voters
40
0.1x
5 voters
41
0.1x
5 voters
44
0.1x
4 voters
45
0.1x
4 voters
47
0.0x
5 voters
48
0.0x
5 voters
49
0.0x
5 voters
53
0.0x
4 voters
55
0.0x
3 voters
56
0.0x
3 voters
57
0.0x
3 voters
59
0.0x
6 voters
61
0.0x
6 voters
63
0.0x
4 voters
64
0.0x
4 voters
67
0.0x
4 voters
68
0.0x
4 voters
69
0.0x
4 voters
70
0.0x
4 voters
73
0.0x
4 voters
74
0.0x
3 voters
76
0.0x
3 voters
77
0.0x
3 voters
78
0.0x
3 voters
79
0.0x
3 voters
83
0.0x
10 voters
84
0.0x
7 voters
86
0.0x
6 voters
87
0.0x
5 voters
88
0.0x
5 voters
89
0.0x
5 voters
90
0.0x
5 voters
91
0.0x
5 voters
93
0.0x
4 voters
94
0.0x
4 voters
95
0.0x
4 voters
96
0.0x
4 voters
97
0.0x
4 voters
98
0.0x
4 voters
99
0.0x
4 voters
100
0.0x
4 voters
101
0.0x
4 voters
102
0.0x
4 voters
103
0.0x
3 voters
105
0.0x
3 voters
107
0.0x
3 voters
111
0.0x
3 voters
112
0.0x
3 voters
115
0.0x
3 voters
117
0.0x
3 voters
119
0.0x
3 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 Legends consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Legends 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.