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CCT 2026 Europe Series 8 · BO3
result vs prediction
MOUZ NXT#142 in the world · loss 0:2
series probability
45%55%
probability at match start · final 0:2
The Last Resort#106 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.
NukeMOUZ NXT pick
60%53%
MOUZ NXT · 16 mapsedge MOUZ NXT +7%The Last Resort · 15 maps
Dust2MOUZ NXT ban
21%46%
MOUZ NXT · 15 mapsedge The Last Resort +25%The Last Resort · 9 maps
CacheThe Last Resort pick
53%60%
MOUZ NXT · 13 mapsedge The Last Resort +7%The Last Resort · 6 maps
AncientThe Last Resort ban
67%31%
MOUZ NXT · 5 mapsedge MOUZ NXT +36%The Last Resort · 9 maps
MirageThe Last Resort ban
29%40%
MOUZ NXT · 13 mapsedge The Last Resort +11%The Last Resort · 1 map
Anubispossible decider
50%50%
MOUZ NXT · 4 mapsnearly even +0%The Last Resort · 4 maps
InfernoMOUZ NXT ban
40%60%
MOUZ NXT · 1 mapedge The Last Resort +20%The Last Resort · 6 maps
Most likely veto scenario
1. BanMOUZ NXT remove Inferno
2. BanThe Last Resort remove Mirage
3. PickMOUZ NXT take Nuke
4. PickThe Last Resort take Cache
5. BanThe Last Resort remove Ancient
6. BanMOUZ NXT remove Dust2
DeciderAnubis (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.
Anubisprediction correct11:13
MOUZ NXT 47%The Last Resort 53%
The model gave 53% on The Last Resort — the map was taken by The Last Resort.
Ancientprediction missed6:13
MOUZ NXT 84%The Last Resort 16%
The model gave 84% on MOUZ NXT — the map was taken by The Last Resort.
Model check result
Model favoriteThe Last Resort · 55%
Series resultThe Last Resort 0:2
Series predictioncorrect
Accuracy by map1 of 2