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The International 2026. Открытые квалификации · BO3
result vs prediction
5chudsnoanchorloss 0:2
series probability
50%50%
probability at match start · final 0:2
Mit Esportswin 2:0
The 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.

5chudsnoanchor

No games played over 6 months.

Mit Esports

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
Hoodwink
636 picks · 432 bans
54%
Rubick
Rubick
550 picks · 307 bans
50%
Phoenix
Phoenix
494 picks · 589 bans
50%
Tiny
Tiny
471 picks · 402 bans
49%
Pangolier
Pangolier
435 picks · 638 bans
49%
Puck
Puck
357 picks · 1022 bans
57%
Tusk
Tusk
347 picks · 305 bans
54%
Ember Spirit
Ember Spirit
346 picks · 540 bans
52%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% 5chudsnoanchor
Head-to-head0 – 0
Model total50% 5chudsnoanchor
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 missed10:29
5chudsnoanchor 50%Mit Esports 50%
The model gave 50% on 5chudsnoanchor — the game was taken by Mit Esports in 28:44.
Game 2prediction missed29:41
5chudsnoanchor 50%Mit Esports 50%
The model gave 50% on 5chudsnoanchor — the game was taken by Mit Esports in 29:04.
Model check result
Model favorite5chudsnoanchor · 50%
Series resultMit Esports 0:2
Series predictionmissed
Accuracy by game0 of 2