Betclic Clash 2026 · BO3
result vs prediction
Young Ninjas#103 in the world · win 2:1series probability
64%36%
probability at match start · final 2:1
Honvéd#144 in the world · loss 1:2The 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.
Dust2possible decider
36%57%
Young Ninjas · 7 mapsedge Honvéd +21%Honvéd · 3 maps
AncientYoung Ninjas pick
67%50%
Young Ninjas · 5 mapsedge Young Ninjas +17%Honvéd · 2 maps
MirageYoung Ninjas ban
33%44%
Young Ninjas · 2 mapsedge Honvéd +11%Honvéd · 5 maps
AnubisYoung Ninjas ban
44%60%
Young Ninjas · 5 mapsedge Honvéd +16%Honvéd · 1 map
NukeHonvéd ban
63%50%
Young Ninjas · 4 mapsedge Young Ninjas +13%Honvéd · 0 maps
OverpassHonvéd ban
60%33%
Young Ninjas · 1 mapedge Young Ninjas +27%Honvéd · 2 maps
DefaultHonvéd pick
40%50%
Young Ninjas · 1 mapedge Honvéd +10%Honvéd · 0 maps
Most likely veto scenario
1. BanYoung Ninjas remove Mirage
2. BanHonvéd remove Nuke
3. PickYoung Ninjas take Ancient
4. PickHonvéd take Default
5. BanHonvéd remove Overpass
6. BanYoung Ninjas remove Anubis
DeciderDust2 (36% / 57%)
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 correct8:13
Young Ninjas 36%Honvéd 64%
The model gave 64% on Honvéd — the map was taken by Honvéd.
Overpassprediction correct13:8
Young Ninjas 77%Honvéd 23%
The model gave 77% on Young Ninjas — the map was taken by Young Ninjas.
Dust2prediction missed13:11
Young Ninjas 30%Honvéd 70%
The model gave 70% on Honvéd — the map was taken by Young Ninjas.
Model check result
Model favoriteYoung Ninjas · 64%
Series resultYoung Ninjas 2:1
Series predictioncorrect
Accuracy by map2 of 3