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CCT 2026 South America Series 2 · BO3
result vs prediction
HereWeGoAgainloss 1:2
series probability
50%50%
probability at match start · final 1:2
Red Feet#222 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.
Defaultpossible decider
43%50%
HereWeGoAgain · 3 mapsedge Red Feet +7%Red Feet · 0 maps
MirageRed Feet pick
40%50%
HereWeGoAgain · 1 mapedge Red Feet +10%Red Feet · 2 maps
Dust2Red Feet ban
40%40%
HereWeGoAgain · 1 mapnearly even +0%Red Feet · 1 map
AncientRed Feet ban
40%50%
HereWeGoAgain · 1 mapedge Red Feet +10%Red Feet · 0 maps
InfernoHereWeGoAgain pick
50%60%
HereWeGoAgain · 0 mapsedge Red Feet +10%Red Feet · 1 map
NukeHereWeGoAgain ban
50%40%
HereWeGoAgain · 0 mapsedge HereWeGoAgain +10%Red Feet · 1 map
OverpassHereWeGoAgain ban
40%50%
HereWeGoAgain · 1 mapedge Red Feet +10%Red Feet · 0 maps
Most likely veto scenario
1. BanHereWeGoAgain remove Nuke
2. BanRed Feet remove Dust2
3. PickHereWeGoAgain take Inferno
4. PickRed Feet take Mirage
5. BanRed Feet remove Ancient
6. BanHereWeGoAgain remove Overpass
DeciderDefault (43% / 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.
Infernoprediction correct4:13
HereWeGoAgain 37%Red Feet 63%
The model gave 63% on Red Feet — the map was taken by Red Feet.
Mirageprediction missed13:9
HereWeGoAgain 43%Red Feet 57%
The model gave 57% on Red Feet — the map was taken by HereWeGoAgain.
Dust2prediction missed9:13
HereWeGoAgain 50%Red Feet 50%
The model gave 50% on HereWeGoAgain — the map was taken by Red Feet.
Model check result
Model favoriteRed Feet · 50%
Series resultRed Feet 1:2
Series predictioncorrect
Accuracy by map1 of 3