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Открытые киберспортивные студенческие игры 2024. Российский финал · BO3
result vs prediction
СевГУwin 2:1
series probability
55%45%
probability at match start · final 2:1
PrimeT3nLLl1kloss 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.

СевГУ

No games played over 6 months.

PrimeT3nLLl1k

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
Clockwerk
341 picks · 295 bans
54%
Pangolier
Pangolier
341 picks · 462 bans
50%
Tusk
Tusk
325 picks · 449 bans
53%
Snapfire
Snapfire
323 picks · 216 bans
50%
Enchantress
Enchantress
314 picks · 568 bans
51%
Dragon Knight
Dragon Knight
282 picks · 461 bans
46%
Windranger
Windranger
265 picks · 373 bans
52%
Luna
Luna
258 picks · 319 bans
57%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% СевГУ
Head-to-head0 – 0
Model total55% СевГУ
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
СевГУ 55%PrimeT3nLLl1k 45%
The model gave 55% on СевГУ — the game was taken by PrimeT3nLLl1k.
Game 2prediction correct
СевГУ 55%PrimeT3nLLl1k 45%
The model gave 55% on СевГУ — the game was taken by СевГУ.
Game 3prediction correct
СевГУ 55%PrimeT3nLLl1k 45%
The model gave 55% on СевГУ — the game was taken by СевГУ.
Model check result
Model favoriteСевГУ · 55%
Series resultСевГУ 2:1
Series predictioncorrect
Accuracy by game2 of 3