CCT 2026 Europe Series 4 Closed Qualifier · BO3
result vs prediction
ENCE#112 in the world · loss 1:2series probability
39%61%
probability at match start · final 1:2
brazylijski luz#146 in the world · win 2:1The 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.
Ancientbrazylijski luz pick
56%44%
ENCE · 5 mapsedge ENCE +12%brazylijski luz · 12 maps
Miragepossible decider
50%40%
ENCE · 8 mapsedge ENCE +10%brazylijski luz · 6 maps
NukeENCE pick
75%50%
ENCE · 4 mapsedge ENCE +25%brazylijski luz · 6 maps
Dust2ENCE ban
50%63%
ENCE · 2 mapsedge brazylijski luz +13%brazylijski luz · 4 maps
AnubisENCE ban
60%57%
ENCE · 1 mapnearly even +3%brazylijski luz · 3 maps
Infernobrazylijski luz ban
43%40%
ENCE · 3 mapsnearly even +3%brazylijski luz · 1 map
Overpassbrazylijski luz ban
50%50%
ENCE · 2 mapsnearly even +0%brazylijski luz · 2 maps
Most likely veto scenario
1. BanENCE remove Dust2
2. Banbrazylijski luz remove Inferno
3. PickENCE take Nuke
4. Pickbrazylijski luz take Ancient
5. Banbrazylijski luz remove Overpass
6. BanENCE remove Anubis
DeciderMirage (50% / 40%)
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.
Ancientprediction correct13:8
ENCE 59%brazylijski luz 41%
The model gave 59% on ENCE — the map was taken by ENCE.
Nukeprediction missed11:13
ENCE 77%brazylijski luz 23%
The model gave 77% on ENCE — the map was taken by brazylijski luz.
Mirageprediction missed3:13
ENCE 60%brazylijski luz 40%
The model gave 60% on ENCE — the map was taken by brazylijski luz.
Model check result
Model favoritebrazylijski luz · 61%
Series resultbrazylijski luz 1:2
Series predictioncorrect
Accuracy by map1 of 3