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Esports World Cup 2026 по Dota 2. Открытые квалификации · BO3
result vs prediction
unknowloss 0:2
series probability
54%46%
probability at match start · final 0:2
F9 Teamwin 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.

unknow

No games played over 6 months.

F9 Team

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
564 picks · 353 bans
54%
Phoenix
Phoenix
479 picks · 567 bans
51%
Rubick
Rubick
459 picks · 241 bans
49%
Tiny
Tiny
436 picks · 372 bans
50%
Pangolier
Pangolier
385 picks · 535 bans
48%
Puck
Puck
331 picks · 869 bans
52%
Beastmaster
Beastmaster
320 picks · 808 bans
47%
Tusk
Tusk
310 picks · 267 bans
53%
Prediction components
Form (series winrate)60% vs 60%
Hero pool strength50% unknow
Head-to-head0 – 0
Model total54% unknow
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 missed13:32
unknow 54%F9 Team 46%
The model gave 54% on unknow — the game was taken by F9 Team in 36:36.
Game 2prediction missed25:51
unknow 54%F9 Team 46%
The model gave 54% on unknow — the game was taken by F9 Team in 42:40.
Model check result
Model favoriteunknow · 54%
Series resultF9 Team 0:2
Series predictionmissed
Accuracy by game0 of 2