?
BLAST Slam IX. Открытые квалификации · BO1
result vs prediction
Red Moonloss 0:1
series probability
57%43%
probability at match start · final 0:1
Letowin 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.

Red Moon

No games played over 6 months.

Leto

Hoodwink
Hoodwink
aguwa · 1 game
0%
Largo
Largooften banned
zenica · 1 game
0%
Leshrac
Leshrac
Rayx · 1 game
0%
Luna
Luna
eva · 1 game
0%
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 · 496 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 40%
Hero pool strength55% Red Moon
Head-to-head0 – 0
Model total57% Red Moon
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 missed20:51
Red Moon 57%Leto 43%
The model gave 57% on Red Moon — the game was taken by Leto in 48:35.
Model check result
Model favoriteRed Moon · 57%
Series resultLeto 0:1
Series predictionmissed
Accuracy by game0 of 1