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Esports World Cup 2026 Open Qualifier · BO3
result vs prediction
SINNERS#45 in the world · loss 1:2
series probability
46%54%
probability at match start · final 1:2
EYEBALLERS#43 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.
AncientEYEBALLERS pick
30%60%
SINNERS · 6 mapsedge EYEBALLERS +30%EYEBALLERS · 6 maps
Dust2EYEBALLERS ban
54%43%
SINNERS · 9 mapsedge SINNERS +11%EYEBALLERS · 3 maps
Infernopossible decider
40%50%
SINNERS · 6 mapsedge EYEBALLERS +10%EYEBALLERS · 4 maps
MirageSINNERS pick
55%33%
SINNERS · 7 mapsedge SINNERS +22%EYEBALLERS · 2 maps
CacheEYEBALLERS ban
44%33%
SINNERS · 5 mapsedge SINNERS +11%EYEBALLERS · 2 maps
NukeSINNERS ban
33%50%
SINNERS · 2 mapsedge EYEBALLERS +17%EYEBALLERS · 2 maps
AnubisSINNERS ban
50%67%
SINNERS · 0 mapsedge EYEBALLERS +17%EYEBALLERS · 2 maps
Most likely veto scenario
1. BanSINNERS remove Anubis
2. BanEYEBALLERS remove Dust2
3. PickSINNERS take Mirage
4. PickEYEBALLERS take Ancient
5. BanEYEBALLERS remove Cache
6. BanSINNERS remove Nuke
DeciderInferno (40% / 50%)
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 correct19:17
SINNERS 73%EYEBALLERS 27%
The model gave 73% on SINNERS — the map was taken by SINNERS.
Ancientprediction correct7:13
SINNERS 20%EYEBALLERS 80%
The model gave 80% on EYEBALLERS — the map was taken by EYEBALLERS.
Infernoprediction correct6:13
SINNERS 40%EYEBALLERS 60%
The model gave 60% on EYEBALLERS — the map was taken by EYEBALLERS.
Model check result
Model favoriteEYEBALLERS · 54%
Series resultEYEBALLERS 1:2
Series predictioncorrect
Accuracy by map3 of 3