Открытые киберспортивные студенческие игры 2024. Мировой финал · BO3
result vs predictionseries probability
45%55%
probability at match start · final 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.
Сербия
No games played over 6 months.
Монголия
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.
Clockwerk
358 picks · 312 bans
Pangolier
345 picks · 484 bans
Tusk
340 picks · 463 bans
Snapfire
324 picks · 209 bans
Enchantress
318 picks · 600 bans
Dragon Knight
284 picks · 458 bans
Luna
268 picks · 331 bans
Windranger
263 picks · 365 bans
Prediction components
Form (series winrate)77% vs 73%
Hero pool strength50% Сербия
Head-to-head1 – 0
Model total55% Монголия
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
Сербия 45%Монголия 55%
The model gave 55% on Монголия — the game was taken by Монголия.
Game 2prediction missed
Сербия 45%Монголия 55%
The model gave 55% on Монголия — the game was taken by Сербия.
Game 3prediction missed
Сербия 45%Монголия 55%
The model gave 55% on Монголия — the game was taken by Сербия.
Model check result
Model favoriteМонголия · 55%
Series resultСербия 2:1
Series predictionmissed
Accuracy by game1 of 3