?
CCT 2026 Challengers Europe Series 5 · BO3
result vs prediction
Honvéd#144 in the world · loss 0:2
series probability
50%50%
probability at match start · final 0:2
Bushido Wildcats#82 in the world · win 2:0
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
56%68%
Honvéd · 28 mapsedge Bushido Wildcats +12%Bushido Wildcats · 27 maps
MirageHonvéd pick
52%67%
Honvéd · 25 mapsedge Bushido Wildcats +15%Bushido Wildcats · 17 maps
NukeBushido Wildcats ban
56%40%
Honvéd · 5 mapsedge Honvéd +16%Bushido Wildcats · 16 maps
AncientBushido Wildcats ban
53%40%
Honvéd · 13 mapsedge Honvéd +13%Bushido Wildcats · 1 map
InfernoHonvéd ban
36%55%
Honvéd · 7 mapsedge Bushido Wildcats +19%Bushido Wildcats · 7 maps
AnubisHonvéd ban
44%58%
Honvéd · 5 mapsedge Bushido Wildcats +14%Bushido Wildcats · 8 maps
Cachepossible decider
56%50%
Honvéd · 5 mapsedge Honvéd +6%Bushido Wildcats · 4 maps
Most likely veto scenario
1. BanHonvéd remove Inferno
2. BanBushido Wildcats remove Ancient
3. PickHonvéd take Mirage
4. PickBushido Wildcats take Dust2
5. BanBushido Wildcats remove Nuke
6. BanHonvéd remove Anubis
DeciderCache (56% / 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 correct5:13
Honvéd 35%Bushido Wildcats 65%
The model gave 65% on Bushido Wildcats — the map was taken by Bushido Wildcats.
Cacheprediction missed4:13
Honvéd 58%Bushido Wildcats 42%
The model gave 58% on Honvéd — the map was taken by Bushido Wildcats.
Model check result
Model favoriteHonvéd · 50%
Series resultBushido Wildcats 0:2
Series predictionmissed
Accuracy by map1 of 2