BLAST Slam IX. Открытые квалификации · BO3
result vs prediction
Imperial powerloss 1:2series probability
45%55%
probability at match start · final 1:2
ЯЯЧЁ123win 2:1
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.
Imperial power
No games played over 6 months.
ЯЧЁ123
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
482 picks · 317 bans
Ember Spirit
328 picks · 500 bans
Clockwerk
317 picks · 385 bans
Bane
314 picks · 432 bans
Shadow Fiend
301 picks · 622 bans
Mirana
289 picks · 106 bans
Dark Willow
282 picks · 117 bans
Centaur Warrunner
276 picks · 289 bans
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Imperial power
Head-to-head0 – 0
Model total55% ЯЧЁ123
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 missed
Imperial power 45%ЯЧЁ123 55%
The model gave 55% on ЯЧЁ123 — the game was taken by Imperial power.
Game 2prediction correct39:13
Imperial power 45%ЯЧЁ123 55%
The model gave 55% on ЯЧЁ123 — the game was taken by ЯЧЁ123 in 28:17.
Game 3prediction correct
Imperial power 45%ЯЧЁ123 55%
The model gave 55% on ЯЧЁ123 — the game was taken by ЯЧЁ123.
Model check result
Model favoriteЯЧЁ123 · 55%
Series resultЯЧЁ123 1:2
Series predictioncorrect
Accuracy by game2 of 3