CCT 2026 Challengers Europe Series 7 · BO3
result vs prediction
benched gods#162 in the world · loss 1:2series probability
41%59%
probability at match start · final 1:2
mellren#94 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.
Miragebenched gods ban
29%67%
benched gods · 10 mapsedge mellren +38%mellren · 20 maps
Ancientpossible decider
50%67%
benched gods · 12 mapsedge mellren +17%mellren · 11 maps
Dust2mellren ban
43%58%
benched gods · 10 mapsedge mellren +15%mellren · 8 maps
Anubisbenched gods ban
47%75%
benched gods · 13 mapsedge mellren +28%mellren · 4 maps
Infernomellren pick
57%59%
benched gods · 3 mapsnearly even -2%mellren · 13 maps
Cachemellren ban
58%50%
benched gods · 15 mapsedge benched gods +8%mellren · 0 maps
Defaultbenched gods pick
83%50%
benched gods · 8 mapsedge benched gods +33%mellren · 4 maps
Most likely veto scenario
1. Banbenched gods remove Mirage
2. Banmellren remove Cache
3. Pickbenched gods take Default
4. Pickmellren take Inferno
5. Banmellren remove Dust2
6. Banbenched gods remove Anubis
DeciderAncient (50% / 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.
Anubisprediction missed19:15
benched gods 25%mellren 75%
The model gave 75% on mellren — the map was taken by benched gods.
Mirageprediction correct11:13
benched gods 15%mellren 85%
The model gave 85% on mellren — the map was taken by mellren.
Ancientprediction correct11:13
benched gods 33%mellren 67%
The model gave 67% on mellren — the map was taken by mellren.
Model check result
Model favoritemellren · 59%
Series resultmellren 1:2
Series predictioncorrect
Accuracy by map2 of 3