CCT 2026 Challengers Europe Series 8 · BO3
result vs prediction
Noir Verse#147 in the world · win 2:1series probability
60%40%
probability at match start · final 2:1
Aantidaun#283 in the world · loss 1:2
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.
MirageNoir Verse pick
58%50%
Noir Verse · 22 mapsedge Noir Verse +8%antidaun · 2 maps
Anubispossible decider
43%29%
Noir Verse · 19 mapsedge Noir Verse +14%antidaun · 3 maps
Dust2antidaun ban
50%33%
Noir Verse · 20 mapsedge Noir Verse +17%antidaun · 2 maps
AncientNoir Verse ban
48%50%
Noir Verse · 19 mapsnearly even -2%antidaun · 2 maps
NukeNoir Verse ban
44%50%
Noir Verse · 14 mapsedge antidaun +6%antidaun · 2 maps
Defaultantidaun pick
41%60%
Noir Verse · 13 mapsedge antidaun +19%antidaun · 1 map
Cacheantidaun ban
53%50%
Noir Verse · 13 mapsnearly even +3%antidaun · 0 maps
Most likely veto scenario
1. BanNoir Verse remove Nuke
2. Banantidaun remove Dust2
3. PickNoir Verse take Mirage
4. Pickantidaun take Default
5. Banantidaun remove Cache
6. BanNoir Verse remove Ancient
DeciderAnubis (43% / 29%)
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 missed7:13
Noir Verse 68%antidaun 32%
The model gave 68% on Noir Verse — the map was taken by antidaun.
Ancientprediction missed13:3
Noir Verse 45%antidaun 55%
The model gave 55% on antidaun — the map was taken by Noir Verse.
Nukeprediction missed13:8
Noir Verse 44%antidaun 56%
The model gave 56% on antidaun — the map was taken by Noir Verse.
Model check result
Model favoriteNoir Verse · 60%
Series resultNoir Verse 2:1
Series predictioncorrect
Accuracy by map0 of 3