CCT 2026 Europe Series 3 · BO3
result vs prediction
RBLS#93 in the world · loss 1:2series probability
62%38%
probability at match start · final 1:2
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.
Nukepossible decider
53%50%
RBLS · 11 mapsnearly even +3%ex-Zero Tenacity · 14 maps
Dust2ex-Zero Tenacity pick
50%60%
RBLS · 6 mapsedge ex-Zero Tenacity +10%ex-Zero Tenacity · 16 maps
InfernoRBLS pick
63%42%
RBLS · 4 mapsedge RBLS +21%ex-Zero Tenacity · 8 maps
AnubisRBLS ban
25%36%
RBLS · 4 mapsedge ex-Zero Tenacity +11%ex-Zero Tenacity · 7 maps
Overpassex-Zero Tenacity ban
50%29%
RBLS · 6 mapsedge RBLS +21%ex-Zero Tenacity · 3 maps
MirageRBLS ban
50%42%
RBLS · 0 mapsedge RBLS +8%ex-Zero Tenacity · 8 maps
Ancientex-Zero Tenacity ban
38%50%
RBLS · 4 mapsedge ex-Zero Tenacity +12%ex-Zero Tenacity · 0 maps
Most likely veto scenario
1. BanRBLS remove Mirage
2. Banex-Zero Tenacity remove Ancient
3. PickRBLS take Inferno
4. Pickex-Zero Tenacity take Dust2
5. Banex-Zero Tenacity remove Overpass
6. BanRBLS remove Anubis
DeciderNuke (53% / 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.
Overpassprediction missed8:13
RBLS 74%ex-Zero Tenacity 26%
The model gave 74% on RBLS — the map was taken by ex-Zero Tenacity.
Dust2prediction missed13:5
RBLS 37%ex-Zero Tenacity 63%
The model gave 63% on ex-Zero Tenacity — the map was taken by RBLS.
Nukeprediction missed5:13
RBLS 53%ex-Zero Tenacity 47%
The model gave 53% on RBLS — the map was taken by ex-Zero Tenacity.
Model check result
Model favoriteRBLS · 62%
Series resultex-Zero Tenacity 1:2
Series predictionmissed
Accuracy by map0 of 3