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CCT 2026 South America Series 5 · BO3
result vs prediction
BORRACHEIROS#179 in the world · loss 1:2
series probability
44%56%
probability at match start · final 1:2
Peladona#211 in the world · win 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.
AncientBORRACHEIROS pick
54%50%
BORRACHEIROS · 9 mapsnearly even +4%Peladona · 0 maps
Miragepossible decider
45%60%
BORRACHEIROS · 7 mapsedge Peladona +15%Peladona · 1 map
InfernoBORRACHEIROS ban
40%60%
BORRACHEIROS · 6 mapsedge Peladona +20%Peladona · 1 map
Dust2Peladona pick
63%67%
BORRACHEIROS · 4 mapsnearly even -4%Peladona · 2 maps
AnubisPeladona ban
50%50%
BORRACHEIROS · 4 mapsnearly even +0%Peladona · 0 maps
NukeBORRACHEIROS ban
25%50%
BORRACHEIROS · 4 mapsedge Peladona +25%Peladona · 0 maps
DefaultPeladona ban
71%50%
BORRACHEIROS · 3 mapsedge BORRACHEIROS +21%Peladona · 0 maps
Most likely veto scenario
1. BanBORRACHEIROS remove Nuke
2. BanPeladona remove Anubis
3. PickBORRACHEIROS take Ancient
4. PickPeladona take Dust2
5. BanPeladona remove Default
6. BanBORRACHEIROS remove Inferno
DeciderMirage (45% / 60%)
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.
Dust2prediction correct10:13
BORRACHEIROS 42%Peladona 58%
The model gave 58% on Peladona — the map was taken by Peladona.
Mirageprediction missed13:9
BORRACHEIROS 39%Peladona 61%
The model gave 61% on Peladona — the map was taken by BORRACHEIROS.
Infernoprediction correct11:13
BORRACHEIROS 31%Peladona 69%
The model gave 69% on Peladona — the map was taken by Peladona.
Model check result
Model favoritePeladona · 56%
Series resultPeladona 1:2
Series predictioncorrect
Accuracy by map2 of 3