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CCT 2026 Europe Series 8 · BO3
result vs prediction
Sashi#91 in the world · loss 1:2
series probability
50%50%
probability at match start · final 1:2
Color#55 in the world · win 2:1
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.
Dust2Color pick
42%60%
Sashi · 15 mapsedge Color +18%Color · 16 maps
AncientSashi ban
50%58%
Sashi · 10 mapsedge Color +8%Color · 8 maps
CacheSashi pick
63%40%
Sashi · 12 mapsedge Sashi +23%Color · 6 maps
NukeColor ban
55%50%
Sashi · 16 mapsedge Sashi +5%Color · 0 maps
InfernoColor ban
67%55%
Sashi · 8 mapsedge Sashi +12%Color · 7 maps
Anubispossible decider
67%55%
Sashi · 5 mapsedge Sashi +12%Color · 7 maps
MirageSashi ban
40%71%
Sashi · 1 mapedge Color +31%Color · 10 maps
Most likely veto scenario
1. BanSashi remove Mirage
2. BanColor remove Nuke
3. PickSashi take Cache
4. PickColor take Dust2
5. BanColor remove Inferno
6. BanSashi remove Ancient
DeciderAnubis (67% / 55%)
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 correct6:13
Sashi 30%Color 70%
The model gave 70% on Color — the map was taken by Color.
Cacheprediction correct13:10
Sashi 74%Color 26%
The model gave 74% on Sashi — the map was taken by Sashi.
Ancientprediction correct4:13
Sashi 42%Color 58%
The model gave 58% on Color — the map was taken by Color.
Model check result
Model favoriteSashi · 50%
Series resultColor 1:2
Series predictionmissed
Accuracy by map3 of 3