CCT 2026 Europe Series 5 · BO3
result vs prediction
Rune Eaters#114 in the world · win 2:0series probability
55%45%
probability at match start · final 2:0
SAW Youngsters#143 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.
MirageRune Eaters pick
56%45%
Rune Eaters · 21 mapedge Rune Eaters +11%SAW Youngsters · 7 maps
Dust2Rune Eaters ban
52%56%
Rune Eaters · 21 mapnearly even -4%SAW Youngsters · 5 maps
InfernoSAW Youngsters pick
50%73%
Rune Eaters · 12 mapsedge SAW Youngsters +23%SAW Youngsters · 11 maps
AncientSAW Youngsters ban
55%50%
Rune Eaters · 16 mapsedge Rune Eaters +5%SAW Youngsters · 6 maps
NukeSAW Youngsters ban
44%50%
Rune Eaters · 5 mapsedge SAW Youngsters +6%SAW Youngsters · 4 maps
Defaultpossible decider
50%40%
Rune Eaters · 4 mapsedge Rune Eaters +10%SAW Youngsters · 1 map
AnubisRune Eaters ban
50%50%
Rune Eaters · 0 mapsnearly even +0%SAW Youngsters · 2 maps
Most likely veto scenario
1. BanRune Eaters remove Anubis
2. BanSAW Youngsters remove Nuke
3. PickRune Eaters take Mirage
4. PickSAW Youngsters take Inferno
5. BanSAW Youngsters remove Ancient
6. BanRune Eaters remove Dust2
DeciderDefault (50% / 40%)
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
Rune Eaters 63%SAW Youngsters 37%
The model gave 63% on Rune Eaters — the map was taken by Rune Eaters.
Dust2prediction missed13:7
Rune Eaters 43%SAW Youngsters 57%
The model gave 57% on SAW Youngsters — the map was taken by Rune Eaters.
Model check result
Model favoriteRune Eaters · 55%
Series resultRune Eaters 2:0
Series predictioncorrect
Accuracy by map1 of 2