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CCT 2026 Europe Series 3 Closed Qualifier · BO3
result vs prediction
Just Players#116 in the world · loss 0:2
series probability
45%55%
probability at match start · final 0:2
Rune Eaters#114 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.
MirageJust Players pick
63%33%
Just Players · 4 mapsedge Just Players +30%Rune Eaters · 5 maps
Ancientpossible decider
50%50%
Just Players · 4 mapsnearly even +0%Rune Eaters · 4 maps
NukeRune Eaters ban
50%40%
Just Players · 6 mapsedge Just Players +10%Rune Eaters · 1 map
Dust2Rune Eaters pick
43%57%
Just Players · 3 mapsedge Rune Eaters +14%Rune Eaters · 3 maps
OverpassRune Eaters ban
57%40%
Just Players · 3 mapsedge Just Players +17%Rune Eaters · 1 map
DefaultJust Players ban
40%60%
Just Players · 1 mapedge Rune Eaters +20%Rune Eaters · 1 map
InfernoJust Players ban
50%50%
Just Players · 0 mapsnearly even +0%Rune Eaters · 2 maps
Most likely veto scenario
1. BanJust Players remove Inferno
2. BanRune Eaters remove Overpass
3. PickJust Players take Mirage
4. PickRune Eaters take Dust2
5. BanRune Eaters remove Nuke
6. BanJust Players remove Default
DeciderAncient (50% / 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.
Mirageprediction missed2:13
Just Players 79%Rune Eaters 21%
The model gave 79% on Just Players — the map was taken by Rune Eaters.
Dust2prediction correct11:13
Just Players 33%Rune Eaters 67%
The model gave 67% on Rune Eaters — the map was taken by Rune Eaters.
Model check result
Model favoriteRune Eaters · 55%
Series resultRune Eaters 0:2
Series predictioncorrect
Accuracy by map1 of 2