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Esports World Cup 2026 по Dota 2. Закрытые квалификации · BO3
result vs prediction
ALL GOODloss 1:2
series probability
44%56%
probability at match start · final 1:2
sifr00win 2:1
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.

ALL GOOD

No games played over 6 months.

sifr00

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
591 picks · 361 bans
54%
Phoenix
Phoenix
487 picks · 579 bans
51%
Rubick
Rubick
479 picks · 257 bans
49%
Tiny
Tiny
449 picks · 384 bans
50%
Pangolier
Pangolier
398 picks · 548 bans
48%
Puck
Puck
337 picks · 904 bans
53%
Beastmaster
Beastmaster
330 picks · 835 bans
47%
Tusk
Tusk
321 picks · 275 bans
53%
Prediction components
Form (series winrate)60% vs 60%
Hero pool strength50% ALL GOOD
Head-to-head0 – 0
Model total56% 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 correct
ALL GOOD 44%sifr00 56%
The model gave 56% on sifr00 — the game was taken by sifr00.
Game 2prediction missed
ALL GOOD 44%sifr00 56%
The model gave 56% on sifr00 — the game was taken by ALL GOOD.
Game 3prediction correct
ALL GOOD 44%sifr00 56%
The model gave 56% on sifr00 — the game was taken by sifr00.
Model check result
Model favoritesifr00 · 56%
Series resultsifr00 1:2
Series predictioncorrect
Accuracy by game2 of 3