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CCT 2026 Challengers Europe Series 7 · BO3
result vs prediction
Banda Chuya#192 in the world · loss 0:2
series probability
43%57%
probability at match start · final 0:2
FORZE Reload#70 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.
Miragepossible decider
33%46%
Banda Chuya · 5 mapsedge FORZE Reload +13%FORZE Reload · 9 maps
Dust2Banda Chuya ban
50%64%
Banda Chuya · 2 mapsedge FORZE Reload +14%FORZE Reload · 10 maps
NukeFORZE Reload pick
33%67%
Banda Chuya · 2 mapsedge FORZE Reload +34%FORZE Reload · 8 maps
AncientBanda Chuya ban
43%63%
Banda Chuya · 3 mapsedge FORZE Reload +20%FORZE Reload · 4 maps
CacheBanda Chuya pick
50%64%
Banda Chuya · 0 mapsedge FORZE Reload +14%FORZE Reload · 7 maps
AnubisFORZE Reload ban
40%44%
Banda Chuya · 1 mapnearly even -4%FORZE Reload · 5 maps
DefaultFORZE Reload ban
60%40%
Banda Chuya · 1 mapedge Banda Chuya +20%FORZE Reload · 1 map
Most likely veto scenario
1. BanBanda Chuya remove Dust2
2. BanFORZE Reload remove Anubis
3. PickBanda Chuya take Cache
4. PickFORZE Reload take Nuke
5. BanFORZE Reload remove Default
6. BanBanda Chuya remove Ancient
DeciderMirage (33% / 46%)
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 correct7:13
Banda Chuya 48%FORZE Reload 52%
The model gave 52% on FORZE Reload — the map was taken by FORZE Reload.
Cacheprediction correct9:13
Banda Chuya 34%FORZE Reload 66%
The model gave 66% on FORZE Reload — the map was taken by FORZE Reload.
Model check result
Model favoriteFORZE Reload · 57%
Series resultFORZE Reload 0:2
Series predictioncorrect
Accuracy by map2 of 2