BLAST Slam VI. Открытые квалификации · BO1
result vs predictionseries probability
52%48%
probability at match start · final 1:0
1R1000 reasonsloss 0:1
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.
Paseka Team
No games played over 6 months.
1000 reasons
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.
Jakiro
593 picks · 622 bans
Tusk
509 picks · 329 bans
Dragon Knight
501 picks · 689 bans
Snapfire
498 picks · 192 bans
Hoodwink
449 picks · 224 bans
Centaur Warrunner
440 picks · 526 bans
Mars
400 picks · 542 bans
Pangolier
385 picks · 545 bans
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Paseka Team
Head-to-head0 – 0
Model total52% Paseka Team
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 correct23:26
Paseka Team 52%1000 reasons 48%
The model gave 52% on Paseka Team — the game was taken by Paseka Team in 47:42.
Model check result
Model favoritePaseka Team · 52%
Series resultPaseka Team 1:0
Series predictioncorrect
Accuracy by game1 of 1