The International 2026. Открытые квалификации · BO3
result vs predictionMEMit Esportsloss 1:2
series probability
52%48%
probability at match start · final 1:2
GG Boomwin 2:1The prediction was locked in using data as of the match start: hero winrates, form and head-to-head were computed only from games before it began. This is how the model's honest accuracy is verified.
Teams' go-to heroes · 6 months
Who plays what and how often they win. "Signature" — from 6 games with a 60%+ winrate: such a pick statistically raises the win chance.
Mit Esports
No games played over 6 months.
GG Boom
No games played over 6 months.
Patch meta · 3 months
The most picked heroes of the pro scene and their winrate. Picking a meta hero adds points to the team in the model.
Hoodwink
636 picks · 432 bans
Rubick
550 picks · 308 bans
Phoenix
494 picks · 591 bans
Tiny
471 picks · 404 bans
Pangolier
435 picks · 641 bans
Puck
357 picks · 1028 bans
Tusk
347 picks · 306 bans
Ember Spirit
346 picks · 543 bans
Prediction components
Form (series winrate)60% vs 50%
Hero pool strength50% Mit Esports
Head-to-head0 – 0
Model total52% Mit Esports
Prediction by game vs result
Probabilities were locked in using statistics as of the match start: the draft was assessed by hero comfort, counter-picks and late-game potential. We compare against the actual result.
Game 1prediction correct
Mit Esports 52%GG Boom 48%
The model gave 52% on Mit Esports — the game was taken by Mit Esports.
Game 2prediction missed
Mit Esports 52%GG Boom 48%
The model gave 52% on Mit Esports — the game was taken by GG Boom.
Game 3prediction missed5:21
Mit Esports 52%GG Boom 48%
The model gave 52% on Mit Esports — the game was taken by GG Boom in 21:27.
Model check result
Model favoriteMit Esports · 52%
Series resultGG Boom 1:2
Series predictionmissed
Accuracy by game1 of 3