CCT 2026 Europe Series 5 · BO3
result vs predictionseries probability
56%44%
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
33%67%
SINNERS · 2 mapsedge INOX Division +34%INOX Division · 23 maps
Dust2possible decider
50%71%
SINNERS · 4 mapsedge INOX Division +21%INOX Division · 20 maps
InfernoSINNERS ban
29%63%
SINNERS · 3 mapsedge INOX Division +34%INOX Division · 20 maps
AncientSINNERS ban
22%67%
SINNERS · 5 mapsedge INOX Division +45%INOX Division · 14 maps
OverpassSINNERS pick
60%56%
SINNERS · 1 mapnearly even +4%INOX Division · 12 maps
AnubisINOX Division ban
50%38%
SINNERS · 0 mapsedge SINNERS +12%INOX Division · 9 maps
MirageINOX Division ban
50%50%
SINNERS · 6 mapsnearly even +0%INOX Division · 0 maps
Most likely veto scenario
1. BanSINNERS remove Ancient
2. BanINOX Division remove Mirage
3. PickSINNERS take Overpass
4. PickINOX Division take Nuke
5. BanINOX Division remove Anubis
6. BanSINNERS remove Inferno
DeciderDust2 (50% / 71%)
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 missed8:13
SINNERS 53%INOX Division 47%
The model gave 53% on SINNERS — the map was taken by INOX Division.
Infernoprediction missed13:11
SINNERS 18%INOX Division 82%
The model gave 82% on INOX Division — the map was taken by SINNERS.
Ancientprediction missed13:9
SINNERS 13%INOX Division 87%
The model gave 88% on INOX Division — the map was taken by SINNERS.
Model check result
Model favoriteSINNERS · 56%
Series resultSINNERS 2:1
Series predictioncorrect
Accuracy by map0 of 3