CCT 2026 Europe Series 1 · BO3
result vs predictionseries probability
46%54%
probability at match start · final 2:1
INOX Division#66 in the world · loss 1:2The 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.
NukeINOX Division pick
71%62%
ex-RUBY · 3 mapsedge ex-RUBY +9%INOX Division · 9 maps
Dust2ex-RUBY pick
75%64%
ex-RUBY · 4 mapsedge ex-RUBY +11%INOX Division · 7 maps
Infernoex-RUBY ban
50%58%
ex-RUBY · 0 mapsedge INOX Division +8%INOX Division · 8 maps
Ancientpossible decider
33%75%
ex-RUBY · 2 mapsedge INOX Division +42%INOX Division · 4 maps
Overpassex-RUBY ban
40%67%
ex-RUBY · 1 mapedge INOX Division +27%INOX Division · 5 maps
MirageINOX Division ban
57%50%
ex-RUBY · 3 mapsedge ex-RUBY +7%INOX Division · 0 maps
AnubisINOX Division ban
50%50%
ex-RUBY · 0 mapsnearly even +0%INOX Division · 2 maps
Most likely veto scenario
1. Banex-RUBY remove Inferno
2. BanINOX Division remove Mirage
3. Pickex-RUBY take Dust2
4. PickINOX Division take Nuke
5. BanINOX Division remove Anubis
6. Banex-RUBY remove Overpass
DeciderAncient (33% / 75%)
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 missed4:13
ex-RUBY 66%INOX Division 34%
The model gave 66% on ex-RUBY — the map was taken by INOX Division.
Overpassprediction missed13:7
ex-RUBY 23%INOX Division 77%
The model gave 77% on INOX Division — the map was taken by ex-RUBY.
Nukeprediction correct22:19
ex-RUBY 61%INOX Division 39%
The model gave 61% on ex-RUBY — the map was taken by ex-RUBY.
Model check result
Model favoriteINOX Division · 54%
Series resultex-RUBY 2:1
Series predictionmissed
Accuracy by map1 of 3