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CCT 2026 South America Series 6 · BO3
result vs prediction
ex-Keyd Stars#146 in the world · loss 1:2
series probability
45%55%
probability at match start · final 1:2
Procyon#119 in the world · win 2:1
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.
Dust2Procyon ban
40%37%
ex-Keyd Stars · 1 mapnearly even +3%Procyon · 15 maps
InfernoProcyon pick
50%67%
ex-Keyd Stars · 0 mapsedge Procyon +17%Procyon · 14 maps
Ancientex-Keyd Stars pick
60%53%
ex-Keyd Stars · 1 mapedge ex-Keyd Stars +7%Procyon · 11 maps
Anubisex-Keyd Stars ban
50%64%
ex-Keyd Stars · 0 mapsedge Procyon +14%Procyon · 7 maps
MirageProcyon ban
60%67%
ex-Keyd Stars · 1 mapedge Procyon +7%Procyon · 5 maps
Nukeex-Keyd Stars ban
50%60%
ex-Keyd Stars · 0 mapsedge Procyon +10%Procyon · 6 maps
Defaultpossible decider
50%40%
ex-Keyd Stars · 0 mapsedge ex-Keyd Stars +10%Procyon · 1 map
Most likely veto scenario
1. Banex-Keyd Stars remove Nuke
2. BanProcyon remove Mirage
3. Pickex-Keyd Stars take Ancient
4. PickProcyon take Inferno
5. BanProcyon remove Dust2
6. Banex-Keyd Stars remove Anubis
DeciderDefault (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 missed11:13
ex-Keyd Stars 54%Procyon 46%
The model gave 54% on ex-Keyd Stars — the map was taken by Procyon.
Dust2prediction correct13:7
ex-Keyd Stars 56%Procyon 44%
The model gave 56% on ex-Keyd Stars — the map was taken by ex-Keyd Stars.
Anubisprediction correct6:13
ex-Keyd Stars 36%Procyon 64%
The model gave 64% on Procyon — the map was taken by Procyon.
Model check result
Model favoriteProcyon · 55%
Series resultProcyon 1:2
Series predictioncorrect
Accuracy by map2 of 3