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CCT 2026 Challengers Europe Series 7 · BO3
result vs prediction
benched gods#162 in the world · win 2:0
series probability
51%49%
probability at match start · final 2:0
Banda Chuya#192 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.
AncientBanda Chuya pick
47%43%
benched gods · 13 mapsnearly even +4%Banda Chuya · 3 maps
Anubisbenched gods ban
50%33%
benched gods · 14 mapsedge benched gods +17%Banda Chuya · 2 maps
Cachebenched gods pick
58%40%
benched gods · 15 mapsedge benched gods +18%Banda Chuya · 1 map
Miragebenched gods ban
27%33%
benched gods · 11 mapsedge Banda Chuya +6%Banda Chuya · 5 maps
Dust2Banda Chuya ban
43%50%
benched gods · 10 mapsedge Banda Chuya +7%Banda Chuya · 2 maps
Defaultpossible decider
83%67%
benched gods · 8 mapsedge benched gods +16%Banda Chuya · 2 maps
InfernoBanda Chuya ban
57%50%
benched gods · 3 mapsedge benched gods +7%Banda Chuya · 0 maps
Most likely veto scenario
1. Banbenched gods remove Mirage
2. BanBanda Chuya remove Inferno
3. Pickbenched gods take Cache
4. PickBanda Chuya take Ancient
5. BanBanda Chuya remove Dust2
6. Banbenched gods remove Anubis
DeciderDefault (83% / 67%)
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.
Cacheprediction correct13:8
benched gods 70%Banda Chuya 30%
The model gave 70% on benched gods — the map was taken by benched gods.
Mirageprediction missed13:4
benched gods 39%Banda Chuya 61%
The model gave 61% on Banda Chuya — the map was taken by benched gods.
Model check result
Model favoritebenched gods · 51%
Series resultbenched gods 2:0
Series predictioncorrect
Accuracy by map1 of 2