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CCT 2026 Europe Series 9 Closed Qualifier · BO3
result vs prediction
Bushido Wildcats#82 in the world · win 2:0
series probability
66%34%
probability at match start · final 2:0
Enjoy#199 in the world · loss 0:2
The prediction was locked in using data as of the match start: map winrates, form and head-to-head were computed only from games before it began. This is how the model's honest accuracy is verified.
Map veto prediction
For each map — both teams' winrate over 3 months. The model guesses who bans it and who keeps it: teams remove maps where they are weaker and pull toward their strong ones.
Dust2Bushido Wildcats pick
75%50%
Bushido Wildcats · 36 mapsedge Bushido Wildcats +25%Enjoy · 10 maps
Miragepossible decider
55%50%
Bushido Wildcats · 27 mapsedge Bushido Wildcats +5%Enjoy · 12 maps
NukeEnjoy ban
54%38%
Bushido Wildcats · 24 mapsedge Bushido Wildcats +16%Enjoy · 4 maps
CacheEnjoy pick
63%61%
Bushido Wildcats · 12 mapsnearly even +2%Enjoy · 14 maps
InfernoEnjoy ban
38%25%
Bushido Wildcats · 9 mapsedge Bushido Wildcats +13%Enjoy · 8 maps
AnubisBushido Wildcats ban
53%57%
Bushido Wildcats · 11 mapsnearly even -4%Enjoy · 3 maps
AncientBushido Wildcats ban
40%55%
Bushido Wildcats · 1 mapedge Enjoy +15%Enjoy · 7 maps
Most likely veto scenario
1. BanBushido Wildcats remove Ancient
2. BanEnjoy remove Nuke
3. PickBushido Wildcats take Dust2
4. PickEnjoy take Cache
5. BanEnjoy remove Inferno
6. BanBushido Wildcats remove Anubis
DeciderMirage (55% / 50%)
Prediction by map vs result
Probabilities were locked in using statistics as of the match start (map winrate over the 3 months before it). We compare against the actual result of each map.
Dust2prediction correct13:10
Bushido Wildcats 77%Enjoy 23%
The model gave 77% on Bushido Wildcats — the map was taken by Bushido Wildcats.
Mirageprediction correct13:11
Bushido Wildcats 52%Enjoy 48%
The model gave 52% on Bushido Wildcats — the map was taken by Bushido Wildcats.
Model check result
Model favoriteBushido Wildcats · 66%
Series resultBushido Wildcats 2:0
Series predictioncorrect
Accuracy by map2 of 2