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GLuck Moscow Cyber Games 2026 Closed Qualifier · BO3
result vs prediction
Rune Eaters#114 in the world · loss 1:2
series probability
58%42%
probability at match start · final 1:2
SPARTA#96 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.
Dust2SPARTA pick
50%67%
Rune Eaters · 22 mapsedge SPARTA +17%SPARTA · 32 maps
MirageRune Eaters pick
64%56%
Rune Eaters · 18 mapsedge Rune Eaters +8%SPARTA · 21 map
AncientSPARTA ban
50%45%
Rune Eaters · 14 mapsedge Rune Eaters +5%SPARTA · 18 maps
NukeRune Eaters ban
44%52%
Rune Eaters · 5 mapsedge SPARTA +8%SPARTA · 17 maps
Infernopossible decider
54%57%
Rune Eaters · 9 mapsnearly even -3%SPARTA · 10 maps
CacheRune Eaters ban
60%50%
Rune Eaters · 1 mapedge Rune Eaters +10%SPARTA · 10 maps
AnubisSPARTA ban
67%43%
Rune Eaters · 2 mapsedge Rune Eaters +24%SPARTA · 3 maps
Most likely veto scenario
1. BanRune Eaters remove Nuke
2. BanSPARTA remove Anubis
3. PickRune Eaters take Mirage
4. PickSPARTA take Dust2
5. BanSPARTA remove Ancient
6. BanRune Eaters remove Cache
DeciderInferno (54% / 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.
Infernoprediction correct8:13
Rune Eaters 44%SPARTA 56%
The model gave 56% on SPARTA — the map was taken by SPARTA.
Dust2prediction missed13:8
Rune Eaters 36%SPARTA 64%
The model gave 64% on SPARTA — the map was taken by Rune Eaters.
Ancientprediction missed11:13
Rune Eaters 55%SPARTA 45%
The model gave 55% on Rune Eaters — the map was taken by SPARTA.
Model check result
Model favoriteRune Eaters · 58%
Series resultSPARTA 1:2
Series predictionmissed
Accuracy by map1 of 3