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Студенческая лига 2022 Dota 2 · BO1
result vs prediction
ЮФУloss 0:1
series probability
50%50%
probability at match start · final 0:1
КубГУwin 1:0
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.

ЮФУ

No games played over 6 months.

КубГУ

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.
Mars
Mars
474 picks · 657 bans
48%
Tiny
Tiny
470 picks · 442 bans
49%
Bane
Bane
452 picks · 275 bans
57%
Sand King
Sand King
414 picks · 564 bans
54%
Dragon Knight
Dragon Knight
410 picks · 490 bans
52%
Storm Spirit
Storm Spirit
400 picks · 653 bans
56%
Pangolier
Pangolier
368 picks · 572 bans
53%
Grimstroke
Grimstroke
344 picks · 295 bans
46%
Prediction components
Form (series winrate)40% vs 40%
Hero pool strength50% ЮФУ
Head-to-head0 – 0
Model total50% КубГУ
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
ЮФУ 50%КубГУ 50%
The model gave 50% on КубГУ — the game was taken by КубГУ.
Model check result
Model favoriteКубГУ · 50%
Series resultКубГУ 0:1
Series predictioncorrect
Accuracy by game1 of 1