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Esports World Cup 2026 по Dota 2. Открытые квалификации · BO3
result vs prediction
Black Crowsloss 0:2
series probability
45%55%
probability at match start · final 0:2
Team Slayerswin 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.

Black Crows

No games played over 6 months.

Team Slayers

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
569 picks · 353 bans
54%
Phoenix
Phoenix
481 picks · 569 bans
50%
Rubick
Rubick
463 picks · 243 bans
49%
Tiny
Tiny
437 picks · 376 bans
50%
Pangolier
Pangolier
387 picks · 541 bans
48%
Puck
Puck
331 picks · 879 bans
52%
Beastmaster
Beastmaster
322 picks · 813 bans
47%
Tusk
Tusk
312 picks · 267 bans
53%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Black Crows
Head-to-head0 – 0
Model total55% Team Slayers
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 correct16:27
Black Crows 45%Team Slayers 55%
The model gave 55% on Team Slayers — the game was taken by Team Slayers in 23:26.
Game 2prediction correct36:38
Black Crows 45%Team Slayers 55%
The model gave 55% on Team Slayers — the game was taken by Team Slayers in 38:41.
Model check result
Model favoriteTeam Slayers · 55%
Series resultTeam Slayers 0:2
Series predictioncorrect
Accuracy by game2 of 2