IEM Beijing 2026 Closed Qualifier · BO3
result vs prediction
GamerLegion#19 in the world · loss 1:2series probability
66%34%
probability at match start · final 1:2
K27#34 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.
AncientGamerLegion pick
50%59%
GamerLegion · 8 mapsedge K27 +9%K27 · 13 maps
MirageK27 pick
43%63%
GamerLegion · 3 mapsedge K27 +20%K27 · 15 maps
NukeK27 ban
30%25%
GamerLegion · 6 mapsedge GamerLegion +5%K27 · 12 maps
Dust2GamerLegion ban
50%62%
GamerLegion · 2 mapsedge K27 +12%K27 · 9 maps
CacheGamerLegion ban
50%57%
GamerLegion · 0 mapsedge K27 +7%K27 · 10 maps
AnubisK27 ban
50%50%
GamerLegion · 0 mapsnearly even +0%K27 · 6 maps
Defaultpossible decider
40%33%
GamerLegion · 1 mapedge GamerLegion +7%K27 · 2 maps
Most likely veto scenario
1. BanGamerLegion remove Dust2
2. BanK27 remove Anubis
3. PickGamerLegion take Ancient
4. PickK27 take Mirage
5. BanK27 remove Nuke
6. BanGamerLegion remove Cache
DeciderDefault (40% / 33%)
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.
Cacheprediction missed13:4
GamerLegion 40%K27 60%
The model gave 60% on K27 — the map was taken by GamerLegion.
Nukeprediction missed5:13
GamerLegion 59%K27 41%
The model gave 59% on GamerLegion — the map was taken by K27.
Mirageprediction correct8:13
GamerLegion 30%K27 70%
The model gave 70% on K27 — the map was taken by K27.
Model check result
Model favoriteGamerLegion · 66%
Series resultK27 1:2
Series predictionmissed
Accuracy by map1 of 3