CCT 2026 Europe Series 6 Closed Qualifier · BO3
result vs prediction
SAW Youngsters#143 in the world · loss 1:2series probability
49%51%
probability at match start · final 1:2
Enjoy#199 in the world · win 2:1The 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.
Miragepossible decider
50%55%
SAW Youngsters · 6 mapsedge Enjoy +5%Enjoy · 7 maps
AncientEnjoy pick
56%55%
SAW Youngsters · 5 mapsnearly even +1%Enjoy · 7 maps
Dust2SAW Youngsters pick
63%45%
SAW Youngsters · 4 mapsedge SAW Youngsters +18%Enjoy · 7 maps
InfernoEnjoy ban
69%50%
SAW Youngsters · 9 mapsedge SAW Youngsters +19%Enjoy · 2 maps
NukeEnjoy ban
57%38%
SAW Youngsters · 3 mapsedge SAW Youngsters +19%Enjoy · 4 maps
AnubisSAW Youngsters ban
50%63%
SAW Youngsters · 2 mapsedge Enjoy +13%Enjoy · 4 maps
CacheSAW Youngsters ban
50%63%
SAW Youngsters · 0 mapsedge Enjoy +13%Enjoy · 4 maps
Most likely veto scenario
1. BanSAW Youngsters remove Cache
2. BanEnjoy remove Inferno
3. PickSAW Youngsters take Dust2
4. PickEnjoy take Ancient
5. BanEnjoy remove Nuke
6. BanSAW Youngsters remove Anubis
DeciderMirage (50% / 55%)
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 correct9:13
SAW Youngsters 42%Enjoy 58%
The model gave 58% on Enjoy — the map was taken by Enjoy.
Infernoprediction correct13:8
SAW Youngsters 72%Enjoy 28%
The model gave 72% on SAW Youngsters — the map was taken by SAW Youngsters.
Ancientprediction missed6:13
SAW Youngsters 51%Enjoy 49%
The model gave 51% on SAW Youngsters — the map was taken by Enjoy.
Model check result
Model favoriteEnjoy · 51%
Series resultEnjoy 1:2
Series predictioncorrect
Accuracy by map2 of 3