ESL One Bangkok 2024. Открытые квалификации · BO3
result vs predictionseries probability
71%29%
probability at match start · final 2:1
NNNuma Numa leiloss 1:2
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.
Fusion
Hoodwink
Michael · 6 games
Snapfire
Michael · 5 games
Disruptor
Prada · 4 games
Sven
Wits · 4 games
Templar Assassinoften banned
Wits · 4 games
Tinyoften banned
Wits · 4 games
Clockwerk
Prada · 3 games
Jakiro
Michael · 3 games
Numa Numa lei
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.
Tusk
428 picks · 545 bans
Clockwerk
375 picks · 373 bans
Pangolier
326 picks · 438 bans
Luna
314 picks · 369 bans
Enchantress
300 picks · 571 bans
Dark Willow
277 picks · 146 bans
Dragon Knight
264 picks · 339 bans
Batrider
257 picks · 244 bans
Prediction components
Form (series winrate)45% vs 50%
Hero pool strength59% Numa Numa lei
Head-to-head0 – 0
Model total71% Fusion
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
Fusion 71%Numa Numa lei 29%
The model gave 71% on Fusion — the game was taken by Fusion.
Game 2prediction missed
Fusion 71%Numa Numa lei 29%
The model gave 71% on Fusion — the game was taken by Numa Numa lei.
Game 3prediction correct
Fusion 71%Numa Numa lei 29%
The model gave 71% on Fusion — the game was taken by Fusion.
Model check result
Model favoriteFusion · 71%
Series resultFusion 2:1
Series predictioncorrect
Accuracy by game2 of 3