CCT 2026 Europe Series 10 · BO3
result vs predictionseries probability
58%42%
probability at match start · final 2:0
Azuolas#191 in the world · loss 0:2The 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.
MirageLavked pick
35%43%
Lavked · 19 mapsedge Azuolas +8%Azuolas · 10 maps
NukeAzuolas pick
47%54%
Lavked · 15 mapsedge Azuolas +7%Azuolas · 9 maps
Dust2Azuolas ban
57%29%
Lavked · 19 mapsedge Lavked +28%Azuolas · 3 maps
AncientLavked ban
35%50%
Lavked · 16 mapsedge Azuolas +15%Azuolas · 4 maps
AnubisAzuolas ban
50%50%
Lavked · 8 mapsnearly even +0%Azuolas · 2 maps
InfernoLavked ban
36%29%
Lavked · 7 mapsedge Lavked +7%Azuolas · 3 maps
Defaultpossible decider
38%50%
Lavked · 4 mapsedge Azuolas +12%Azuolas · 0 maps
Most likely veto scenario
1. BanLavked remove Inferno
2. BanAzuolas remove Dust2
3. PickLavked take Mirage
4. PickAzuolas take Nuke
5. BanAzuolas remove Anubis
6. BanLavked remove Ancient
DeciderDefault (38% / 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.
Nukeprediction missed13:10
Lavked 41%Azuolas 59%
The model gave 59% on Azuolas — the map was taken by Lavked.
Anubisprediction correct13:7
Lavked 53%Azuolas 47%
The model gave 53% on Lavked — the map was taken by Lavked.
Model check result
Model favoriteLavked · 58%
Series resultLavked 2:0
Series predictioncorrect
Accuracy by map1 of 2