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CCT 2026 Challengers Europe Series 7 · BO3
result vs prediction
megoshort#179 in the world · loss 0:2
series probability
57%43%
probability at match start · final 0:2
eternal premium#208 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.
Mirageeternal premium pick
44%46%
megoshort · 14 mapsnearly even -2%eternal premium · 9 maps
Ancientmegoshort pick
60%67%
megoshort · 11 mapsedge eternal premium +7%eternal premium · 5 maps
Dust2eternal premium ban
54%29%
megoshort · 9 mapsedge megoshort +25%eternal premium · 3 maps
Defaultpossible decider
50%44%
megoshort · 6 mapsedge megoshort +6%eternal premium · 5 maps
Anubismegoshort ban
57%44%
megoshort · 3 mapsedge megoshort +13%eternal premium · 5 maps
Infernomegoshort ban
40%33%
megoshort · 6 mapsedge megoshort +7%eternal premium · 2 maps
Cacheeternal premium ban
55%50%
megoshort · 7 mapsedge megoshort +5%eternal premium · 0 maps
Most likely veto scenario
1. Banmegoshort remove Anubis
2. Baneternal premium remove Cache
3. Pickmegoshort take Ancient
4. Picketernal premium take Mirage
5. Baneternal premium remove Dust2
6. Banmegoshort remove Inferno
DeciderDefault (50% / 44%)
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 correct9:13
megoshort 40%eternal premium 60%
The model gave 60% on eternal premium — the map was taken by eternal premium.
Infernoprediction missed11:13
megoshort 60%eternal premium 40%
The model gave 60% on megoshort — the map was taken by eternal premium.
Model check result
Model favoritemegoshort · 57%
Series resulteternal premium 0:2
Series predictionmissed
Accuracy by map1 of 2