Открытые киберспортивные студенческие игры 2024. Мировой финал · BO3
result vs predictionseries probability
31%69%
probability at match start · final 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.
Непал
No games played over 6 months.
Россия
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
345 picks · 307 bans
Pangolier
343 picks · 468 bans
Tusk
333 picks · 457 bans
Snapfire
323 picks · 209 bans
Enchantress
315 picks · 580 bans
Dragon Knight
281 picks · 458 bans
Windranger
263 picks · 365 bans
Luna
261 picks · 327 bans
Prediction components
Form (series winrate)54% vs 64%
Hero pool strength50% Непал
Head-to-head0 – 0
Model total69% Россия
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
Непал 31%Россия 69%
The model gave 69% on Россия — the game was taken by Россия.
Game 2prediction missed
Непал 31%Россия 69%
The model gave 69% on Россия — the game was taken by Непал.
Game 3prediction correct
Непал 31%Россия 69%
The model gave 69% on Россия — the game was taken by Россия.
Model check result
Model favoriteРоссия · 69%
Series resultРоссия 1:2
Series predictioncorrect
Accuracy by game2 of 3