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BLAST Slam IX. Открытые квалификации · BO1
result vs prediction
Devil_Kingswin 1:0
series probability
70%30%
probability at match start · final 1:0
potn9kiloss 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.

Devil_Kings

Axe
Axeoften banned
azimoff · 1 game
100%
Largo
Largooften banned
azimoff · 1 game
0%
Shadow Fiend
Shadow Fiendoften banned
Dinozavrik · 1 game
100%
Windranger
Windranger
Dinozavrik · 1 game
0%

potn9ki

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
473 picks · 308 bans
51%
Ember Spirit
Ember Spirit
325 picks · 495 bans
57%
Bane
Bane
306 picks · 426 bans
53%
Clockwerk
Clockwerk
306 picks · 367 bans
51%
Mirana
Mirana
293 picks · 109 bans
52%
Shadow Fiend
Shadow Fiend
290 picks · 617 bans
50%
Dark Willow
Dark Willow
286 picks · 119 bans
49%
Centaur Warrunner
Centaur Warrunner
273 picks · 290 bans
53%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Devil_Kings
Head-to-head0 – 0
Model total70% Devil_Kings
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
Devil_Kings 70%potn9ki 30%
The model gave 70% on Devil_Kings — the game was taken by Devil_Kings.
Model check result
Model favoriteDevil_Kings · 70%
Series resultDevil_Kings 1:0
Series predictioncorrect
Accuracy by game1 of 1