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CCT 2026 Challengers Europe Series 4 · BO3
result vs prediction
NEW VISION#204 in the world · loss 1:2
series probability
58%42%
probability at match start · final 1:2
Julie&Ciewin 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.
AncientNEW VISION pick
36%43%
NEW VISION · 7 mapsedge Julie&Cie +7%Julie&Cie · 3 maps
Dust2Julie&Cie ban
56%25%
NEW VISION · 5 mapsedge NEW VISION +31%Julie&Cie · 4 maps
Anubispossible decider
40%40%
NEW VISION · 6 mapsnearly even +0%Julie&Cie · 1 map
InfernoNEW VISION ban
50%43%
NEW VISION · 4 mapsedge NEW VISION +7%Julie&Cie · 3 maps
NukeJulie&Cie ban
50%50%
NEW VISION · 4 mapsnearly even +0%Julie&Cie · 0 maps
MirageNEW VISION ban
33%40%
NEW VISION · 2 mapsedge Julie&Cie +7%Julie&Cie · 1 map
DefaultJulie&Cie pick
60%60%
NEW VISION · 1 mapnearly even +0%Julie&Cie · 1 map
Most likely veto scenario
1. BanNEW VISION remove Inferno
2. BanJulie&Cie remove Nuke
3. PickNEW VISION take Ancient
4. PickJulie&Cie take Default
5. BanJulie&Cie remove Dust2
6. BanNEW VISION remove Mirage
DeciderAnubis (40% / 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.
Anubisprediction missed8:13
NEW VISION 53%Julie&Cie 47%
The model gave 53% on NEW VISION — the map was taken by Julie&Cie.
Mirageprediction missed13:2
NEW VISION 40%Julie&Cie 60%
The model gave 60% on Julie&Cie — the map was taken by NEW VISION.
Dust2prediction missed10:13
NEW VISION 79%Julie&Cie 21%
The model gave 79% on NEW VISION — the map was taken by Julie&Cie.
Model check result
Model favoriteNEW VISION · 58%
Series resultJulie&Cie 1:2
Series predictionmissed
Accuracy by map0 of 3