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MySkill LG UltraGear Tournament 2026 · BO3
result vs prediction
The Huns#123 in the world · win 2:1
series probability
81%19%
probability at match start · final 2:1
Game Point#239 in the world · loss 1:2
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.
Dust2possible decider
38%40%
The Huns · 4 mapsnearly even -2%Game Point · 1 map
AncientGame Point pick
33%50%
The Huns · 2 mapsedge Game Point +17%Game Point · 2 maps
NukeGame Point ban
38%50%
The Huns · 4 mapsedge Game Point +12%Game Point · 0 maps
DefaultThe Huns pick
71%50%
The Huns · 3 mapsedge The Huns +21%Game Point · 0 maps
MirageGame Point ban
33%50%
The Huns · 2 mapsedge Game Point +17%Game Point · 0 maps
AnubisThe Huns ban
50%40%
The Huns · 0 mapsedge The Huns +10%Game Point · 1 map
InfernoThe Huns ban
60%50%
The Huns · 1 mapedge The Huns +10%Game Point · 0 maps
Most likely veto scenario
1. BanThe Huns remove Anubis
2. BanGame Point remove Nuke
3. PickThe Huns take Default
4. PickGame Point take Ancient
5. BanGame Point remove Mirage
6. BanThe Huns remove Inferno
DeciderDust2 (38% / 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.
Dust2prediction correct6:13
The Huns 44%Game Point 56%
The model gave 56% on Game Point — the map was taken by Game Point.
Ancientprediction missed13:7
The Huns 36%Game Point 64%
The model gave 64% on Game Point — the map was taken by The Huns.
Mirageprediction missed13:5
The Huns 33%Game Point 67%
The model gave 67% on Game Point — the map was taken by The Huns.
Model check result
Model favoriteThe Huns · 81%
Series resultThe Huns 2:1
Series predictioncorrect
Accuracy by map1 of 3