105a
€250
FCO · Impact des Destins
Fates Collide
Released: May 2, 2016
Cards
129
0 chase
Chase value (SIR + IR)
€0
FR · 0 cards
Top mover 7d
—
v1.1
Most traded
—
v1.1
Fates Collide is a Pokémon Trading Card Game expansion in the XY series, released on May 2, 2016. It contains 129 cards. The most valuable card is Alakazam EX #125 (Secret Rare), priced at €200. Prices shown on this page reflect the current lowest active listing on Cardmarket in French and English, refreshed weekly by Manakodex.
Most valuable chase cards by current Cardmarket FR low price:
Browse the full card list below. Sign in to follow individual cards and track their Cardmarket price changes over time.
63
€150
125
€150
119
€120
118
€74
111a
€55
54a
€45
55
€42
117
€39
116
€35
124
€30
43a
€29
79
€27
121
€25
123
€22
26
€18
122
€15
20
€12
69
€12
120
€12
85
€12
94
€10
25
€8
77
€8
29
€7
72
€6
54
€5
78
€5
14
€5
84
€4
51
€3
62
€3
43
€3
64
€3
83
€2
19
€2
105
€2
73
€2
56
€1
76
€1
9
€1
12
€1
21
€1
47
€0
24
€0
49
€0
112
€0
115
€0
7
€0
114
€0
66
€0
18
€0
31
€0
39
€0
53
€0
4
€0
23
€0
35
€0
37
€0
61
€0
67
€0
82
€0
17
€0
104
€0
13
€0
109
€0
6
€0
10
€0
16
€0
28
€0
38
€0
88
€0
95
€0
100
€0
107
€0
110
€0
1
€0
11
€0
58
€0
71
€0
81
€0
90
€0
106
€0
108
€0
3
€0
5
€0
8
€0
15
€0
22
€0
40
€0
59
€0
2
€0
27
€0
30
€0
32
€0
33
€0
34
€0
36
€0
41
€0
42
€0
44
€0
45
€0
46
€0
48
€0
50
€0
52
€0
57
€0
60
€0
65
€0
68
€0
70
€0
74
€0
75
€0
80
€0
86
€0
87
€0
89
€0
91
€0
92
€0
93
€0
96
€0
97
€0
98
€0
99
€0
101
€0
102
€0
103
€0
111
€0
113
€0
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Frequently asked questions
How many cards are in Fates Collide?
Fates Collide contains 129 cards in total, spanning rarities from Common to Special Illustration Rare. Of these, 0 are chase cards (SIR + IR) with a combined value of €0.
Where do Fates Collide prices come from?
All prices on this page are sourced from Cardmarket, the largest European trading card marketplace. Manakodex pulls the current lowest listing price in both French and English, refreshing the public catalog weekly (tracked products refresh hourly), so prices reflect recent market conditions rather than historical averages.
