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CCT 2026 Europe Series 6 Closed Qualifier · BO3
result vs prediction
Fortress#236 in the world · loss 0:2
series probability
35%65%
probability at match start · final 0:2
SAW Youngsters#143 in the world · win 2:0
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.
InfernoSAW Youngsters pick
44%70%
Fortress · 5 mapsedge SAW Youngsters +26%SAW Youngsters · 6 maps
MirageFortress ban
33%50%
Fortress · 2 mapsedge SAW Youngsters +17%SAW Youngsters · 4 maps
AncientFortress pick
67%57%
Fortress · 2 mapsedge Fortress +10%SAW Youngsters · 3 maps
Dust2possible decider
60%67%
Fortress · 1 mapedge SAW Youngsters +7%SAW Youngsters · 2 maps
NukeFortress ban
40%50%
Fortress · 1 mapedge SAW Youngsters +10%SAW Youngsters · 2 maps
AnubisSAW Youngsters ban
40%60%
Fortress · 1 mapedge SAW Youngsters +20%SAW Youngsters · 1 map
OverpassSAW Youngsters ban
67%50%
Fortress · 2 mapsedge Fortress +17%SAW Youngsters · 0 maps
Most likely veto scenario
1. BanFortress remove Nuke
2. BanSAW Youngsters remove Overpass
3. PickFortress take Ancient
4. PickSAW Youngsters take Inferno
5. BanSAW Youngsters remove Anubis
6. BanFortress remove Mirage
DeciderDust2 (60% / 67%)
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 missed3:13
Fortress 63%SAW Youngsters 37%
The model gave 63% on Fortress — the map was taken by SAW Youngsters.
Infernoprediction correct2:13
Fortress 23%SAW Youngsters 77%
The model gave 77% on SAW Youngsters — the map was taken by SAW Youngsters.
Model check result
Model favoriteSAW Youngsters · 65%
Series resultSAW Youngsters 0:2
Series predictioncorrect
Accuracy by map1 of 2