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If You Like Castlevania(2017)

TV

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

193 connections found

193 connections
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1
48x
56 voters
4
36x
80 voters
9
33x
95 voters
11
30x
128 voters
14
29x
117 voters
15
28x
66 voters
17
26x
55 voters
18
26x
69 voters
20
24x
63 voters
21
23x
96 voters
23
21x
62 voters
24
20x
55 voters
25
18x
107 voters
26
18x
200 voters
27
18x
55 voters
29
17x
155 voters
30
17x
65 voters
31
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50 voters
34
17x
111 voters
36
16x
88 voters
37
16x
62 voters
39
15x
176 voters
41
14x
118 voters
42
14x
88 voters
43
14x
53 voters
45
14x
52 voters
46
13x
50 voters
49
13x
86 voters
50
13x
51 voters
52
13x
123 voters
53
13x
73 voters
56
12x
55 voters
57
12x
57 voters
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11x
54 voters
61
11x
64 voters
62
11x
128 voters
63
11x
83 voters
64
11x
64 voters
66
11x
55 voters
69
10x
76 voters
71
9.8x
66 voters
72
9.6x
53 voters
73
9.0x
120 voters
74
8.7x
66 voters
75
8.6x
52 voters
76
8.0x
64 voters
77
7.7x
84 voters
78
7.6x
118 voters
79
7.5x
130 voters
80
7.4x
245 voters
81
7.1x
87 voters
82
7.1x
75 voters
83
6.6x
173 voters
86
6.5x
91 voters
87
6.5x
58 voters
88
6.4x
80 voters
90
5.8x
62 voters
92
5.6x
82 voters
93
5.5x
83 voters
94
5.5x
107 voters
95
5.4x
117 voters
96
5.3x
141 voters
97
5.2x
68 voters
98
5.1x
60 voters
99
4.9x
51 voters
100
4.8x
51 voters
101
4.7x
74 voters
103
4.6x
166 voters
104
4.6x
81 voters
105
4.6x
230 voters
106
4.5x
58 voters
107
4.4x
59 voters
108
4.2x
121 voters
110
4.1x
62 voters
112
3.8x
102 voters
114
3.7x
94 voters
115
3.6x
121 voters
116
3.5x
94 voters
117
3.4x
82 voters
118
3.4x
53 voters
119
3.3x
81 voters
121
3.1x
150 voters
122
3.1x
102 voters
123
3.0x
54 voters
126
2.7x
76 voters
127
2.7x
73 voters
128
2.7x
69 voters
129
2.6x
96 voters
130
2.5x
215 voters
131
2.3x
89 voters
133
2.1x
57 voters
134
2.1x
156 voters
135
2.0x
73 voters
136
1.9x
52 voters
137
1.6x
52 voters
139
0.1x
5 voters
141
0.1x
5 voters
145
0.0x
4 voters
147
0.0x
4 voters
148
0.0x
12 voters
149
0.0x
5 voters
150
0.0x
4 voters
151
0.0x
10 voters
152
0.0x
59 voters
153
0.0x
23 voters
154
0.0x
4 voters
156
0.0x
3 voters
157
0.0x
8 voters
158
0.0x
3 voters
159
0.0x
3 voters
160
0.0x
3 voters
161
0.0x
3 voters
162
0.0x
3 voters
163
0.0x
3 voters
169
0.0x
4 voters
172
0.0x
4 voters
173
0.0x
4 voters
174
0.0x
3 voters
175
0.0x
5 voters
176
0.0x
4 voters
177
0.0x
3 voters
178
0.0x
5 voters
179
0.0x
35 voters
180
0.0x
14 voters
182
0.0x
3 voters
183
0.0x
3 voters
186
0.0x
19 voters
188
0.0x
11 voters
189
0.0x
20 voters
190
0.0x
20 voters
191
0.0x
14 voters
192
0.0x
16 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 Castlevania consistently tend to also love certain other things. The "strength" score shows how much more likely fans of Castlevania 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.