CCT 2026 South America Series 3 · BO3
result vs prediction
Bounty Hunters#74 in the world · win 2:0series probability
75%25%
probability at match start · final 2:0
Keyd Stars#155 in the world · loss 0:2The 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.
Dust2Keyd Stars pick
59%56%
Bounty Hunters · 18 mapsnearly even +3%Keyd Stars · 14 maps
AncientBounty Hunters pick
58%57%
Bounty Hunters · 15 mapsnearly even +1%Keyd Stars · 10 maps
MirageKeyd Stars ban
59%50%
Bounty Hunters · 13 mapsedge Bounty Hunters +9%Keyd Stars · 8 maps
NukeKeyd Stars ban
75%38%
Bounty Hunters · 12 mapsedge Bounty Hunters +37%Keyd Stars · 9 maps
AnubisBounty Hunters ban
44%63%
Bounty Hunters · 5 mapsedge Keyd Stars +19%Keyd Stars · 4 maps
OverpassBounty Hunters ban
43%50%
Bounty Hunters · 3 mapsedge Keyd Stars +7%Keyd Stars · 2 maps
Defaultpossible decider
50%60%
Bounty Hunters · 0 mapsedge Keyd Stars +10%Keyd Stars · 1 map
Most likely veto scenario
1. BanBounty Hunters remove Overpass
2. BanKeyd Stars remove Nuke
3. PickBounty Hunters take Ancient
4. PickKeyd Stars take Dust2
5. BanKeyd Stars remove Mirage
6. BanBounty Hunters remove Anubis
DeciderDefault (50% / 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.
Ancientprediction missed16:14
Bounty Hunters 48%Keyd Stars 52%
The model gave 52% on Keyd Stars — the map was taken by Bounty Hunters.
Cacheprediction correct13:9
Bounty Hunters 53%Keyd Stars 47%
The model gave 53% on Bounty Hunters — the map was taken by Bounty Hunters.
Model check result
Model favoriteBounty Hunters · 75%
Series resultBounty Hunters 2:0
Series predictioncorrect
Accuracy by map1 of 2