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Национальная студенческая лига киберспорта Сбера 2025 Dota 2 · BO3
result vs prediction
УрФУloss 0:2
series probability
46%54%
probability at match start · final 0:2
СевГУwin 2:0
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.

УрФУ

No games played over 6 months.

СевГУ

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.
Tiny
Tiny
561 picks · 624 bans
51%
Ringmaster
Ringmaster
481 picks · 243 bans
52%
Jakiro
Jakiro
458 picks · 430 bans
48%
Terrorblade
Terrorblade
392 picks · 830 bans
47%
Storm Spirit
Storm Spirit
365 picks · 556 bans
51%
Tusk
Tusk
363 picks · 323 bans
50%
Ancient Apparition
Ancient Apparition
359 picks · 823 bans
54%
Shadow Shaman
Shadow Shaman
357 picks · 417 bans
58%
Prediction components
Form (series winrate)50% vs 60%
Hero pool strength50% УрФУ
Head-to-head0 – 0
Model total54% 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 correct42:46
УрФУ 46%СевГУ 54%
The model gave 54% on СевГУ — the game was taken by СевГУ in 57:53.
Game 2prediction correct34:7
УрФУ 46%СевГУ 54%
The model gave 54% on СевГУ — the game was taken by СевГУ in 30:50.
Model check result
Model favoriteСевГУ · 54%
Series resultСевГУ 0:2
Series predictioncorrect
Accuracy by game2 of 2