BLAST Slam IX. Открытые квалификации · BO1
result vs predictionDDevil_Kingswin 1:0
series probability
9%91%
probability at match start · final 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.
Devil_Kings
Axeoften banned
azimoff · 1 game
Largooften banned
azimoff · 1 game
Shadow Fiendoften banned
Dinozavrik · 1 game
Windranger
Dinozavrik · 1 game
PlayTime
Hoodwinksignature
Scofield · 26 games
Enchantresssignature
Elmisho · 18 games
Doomsignature
Wits · 14 games
Pangolieroften banned
DarkMago · 14 games
Tusk
Scofield · 14 games
Shadow Fiendoften banned
Wits · 12 games
Axesignature
Frank · 11 games
Batrideroften banned
Elmisho · 11 games
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
469 picks · 307 bans
Ember Spirit
320 picks · 496 bans
Bane
302 picks · 421 bans
Clockwerk
302 picks · 360 bans
Mirana
293 picks · 110 bans
Shadow Fiend
288 picks · 611 bans
Dark Willow
286 picks · 120 bans
Centaur Warrunner
273 picks · 290 bans
Prediction components
Form (series winrate)55% vs 52%
Hero pool strength54% PlayTime
Head-to-head0 – 0
Model total91% PlayTime
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 missed42:24
Devil_Kings 9%PlayTime 91%
The model gave 91% on PlayTime — the game was taken by Devil_Kings in 1:03:01.
Model check result
Model favoritePlayTime · 91%
Series resultDevil_Kings 1:0
Series predictionmissed
Accuracy by game0 of 1