BLAST Slam IX. Открытые квалификации · BO1
result vs predictionseries probability
88%12%
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.
GamerLegion
Dark Willow
Bignum · 19 games
Hoodwink
Bignum · 19 games
Kezoften banned
RCY · 19 games
Miranasignature
Speeed · 19 games
Rubick
Bignum · 17 games
Tusksignature
Bignum · 17 games
Winter Wyvern
Speeed · 17 games
Beastmasteroften banned
RCY · 15 games
Nemiga Gaming
Hoodwink
ariel · 30 games
Pangolieroften banned
Covisnine · 25 games
Jakiro
VaniLLl · 23 games
Ember Spiritoften banned
young G · 22 games
Phoenix
VaniLLl · 20 games
Techies
ariel · 18 games
Rubick
ariel · 17 games
Tusk
ariel · 17 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
482 picks · 317 bans
Ember Spirit
328 picks · 502 bans
Clockwerk
317 picks · 386 bans
Bane
314 picks · 435 bans
Shadow Fiend
301 picks · 624 bans
Mirana
290 picks · 106 bans
Dark Willow
282 picks · 117 bans
Centaur Warrunner
276 picks · 289 bans
Prediction components
Form (series winrate)42% vs 40%
Hero pool strength53% GamerLegion
Head-to-head0 – 0
Model total88% GamerLegion
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
GamerLegion 88%Nemiga Gaming 12%
The model gave 88% on GamerLegion — the game was taken by GamerLegion.
Model check result
Model favoriteGamerLegion · 88%
Series resultGamerLegion 1:0
Series predictioncorrect
Accuracy by game1 of 1