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Esports World Cup 2026 по Dota 2. Закрытые квалификации · BO3
result vs prediction
sifr00loss 0:1
series probability
52%48%
probability at match start · final 0:1
KOwin 1:0
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.

sifr00

No games played over 6 months.

KO

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
600 picks · 368 bans
54%
Phoenix
Phoenix
492 picks · 579 bans
51%
Rubick
Rubick
490 picks · 263 bans
49%
Tiny
Tiny
458 picks · 386 bans
50%
Pangolier
Pangolier
403 picks · 556 bans
48%
Puck
Puck
338 picks · 917 bans
53%
Beastmaster
Beastmaster
336 picks · 849 bans
47%
Tusk
Tusk
326 picks · 277 bans
53%
Prediction components
Form (series winrate)57% vs 63%
Hero pool strength50% sifr00
Head-to-head0 – 0
Model total52% sifr00
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 missed
sifr00 52%KO 48%
The model gave 52% on sifr00 — the game was taken by KO.
Model check result
Model favoritesifr00 · 52%
Series resultKO 0:1
Series predictionmissed
Accuracy by game0 of 1