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CCT 2026 South America Series 3 · BO3
result vs prediction
Patins da Ferrari#154 in the world · win 2:0
series probability
47%53%
probability at match start · final 2:0
GUARA#234 in the world · loss 0:2
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.
Dust2GUARA ban
50%22%
Patins da Ferrari · 0 mapsedge Patins da Ferrari +28%GUARA · 5 maps
Nukepossible decider
40%29%
Patins da Ferrari · 1 mapedge Patins da Ferrari +11%GUARA · 3 maps
InfernoPatins da Ferrari ban
50%29%
Patins da Ferrari · 0 mapsedge Patins da Ferrari +21%GUARA · 3 maps
MiragePatins da Ferrari pick
60%50%
Patins da Ferrari · 1 mapedge Patins da Ferrari +10%GUARA · 2 maps
AncientGUARA ban
60%40%
Patins da Ferrari · 1 mapedge Patins da Ferrari +20%GUARA · 1 map
DefaultGUARA pick
50%67%
Patins da Ferrari · 0 mapsedge GUARA +17%GUARA · 2 maps
CachePatins da Ferrari ban
50%60%
Patins da Ferrari · 0 mapsedge GUARA +10%GUARA · 1 map
Most likely veto scenario
1. BanPatins da Ferrari remove Cache
2. BanGUARA remove Dust2
3. PickPatins da Ferrari take Mirage
4. PickGUARA take Default
5. BanGUARA remove Ancient
6. BanPatins da Ferrari remove Inferno
DeciderNuke (40% / 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.
Mirageprediction correct13:6
Patins da Ferrari 63%GUARA 37%
The model gave 63% on Patins da Ferrari — the map was taken by Patins da Ferrari.
Nukeprediction correct13:10
Patins da Ferrari 60%GUARA 40%
The model gave 60% on Patins da Ferrari — the map was taken by Patins da Ferrari.
Model check result
Model favoriteGUARA · 53%
Series resultPatins da Ferrari 2:0
Series predictionmissed
Accuracy by map2 of 2