CCT 2026 Europe Series 4 · BO3
result vs predictionseries probability
34%66%
probability at match start · final 2:0
brazylijski luz#146 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.
Dust2PsychoFace pick
50%55%
PsychoFace · 14 mapsedge brazylijski luz +5%brazylijski luz · 7 maps
AncientPsychoFace ban
25%42%
PsychoFace · 4 mapsedge brazylijski luz +17%brazylijski luz · 15 maps
Nukebrazylijski luz pick
42%58%
PsychoFace · 8 mapsedge brazylijski luz +16%brazylijski luz · 8 maps
MiragePsychoFace ban
30%50%
PsychoFace · 6 mapsedge brazylijski luz +20%brazylijski luz · 8 maps
Anubisbrazylijski luz ban
44%57%
PsychoFace · 5 mapsedge brazylijski luz +13%brazylijski luz · 3 maps
Overpassbrazylijski luz ban
70%50%
PsychoFace · 6 mapsedge PsychoFace +20%brazylijski luz · 2 maps
Defaultpossible decider
50%57%
PsychoFace · 2 mapsedge brazylijski luz +7%brazylijski luz · 3 maps
Most likely veto scenario
1. BanPsychoFace remove Ancient
2. Banbrazylijski luz remove Overpass
3. PickPsychoFace take Dust2
4. Pickbrazylijski luz take Nuke
5. Banbrazylijski luz remove Anubis
6. BanPsychoFace remove Mirage
DeciderDefault (50% / 57%)
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.
Mirageprediction missed13:1
PsychoFace 28%brazylijski luz 72%
The model gave 72% on brazylijski luz — the map was taken by PsychoFace.
Dust2prediction missed13:9
PsychoFace 48%brazylijski luz 52%
The model gave 52% on brazylijski luz — the map was taken by PsychoFace.
Model check result
Model favoritebrazylijski luz · 66%
Series resultPsychoFace 2:0
Series predictionmissed
Accuracy by map0 of 2