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Студенческая лига 2022 Dota 2 · BO3
result vs prediction
ТГУwin 2:0
series probability
50%50%
probability at match start · final 2:0
УГНТУloss 0:2
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.

ТГУ

No games played over 6 months.

УГНТУ

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
477 picks · 659 bans
48%
Tiny
Tiny
471 picks · 448 bans
49%
Bane
Bane
453 picks · 276 bans
57%
Sand King
Sand King
414 picks · 566 bans
54%
Dragon Knight
Dragon Knight
413 picks · 491 bans
52%
Storm Spirit
Storm Spirit
401 picks · 653 bans
56%
Pangolier
Pangolier
368 picks · 574 bans
53%
Grimstroke
Grimstroke
347 picks · 296 bans
46%
Prediction components
Form (series winrate)57% vs 57%
Hero pool strength50% ТГУ
Head-to-head0 – 0
Model total50% ТГУ
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
ТГУ 50%УГНТУ 50%
The model gave 50% on ТГУ — the game was taken by ТГУ.
Game 2prediction correct
ТГУ 50%УГНТУ 50%
The model gave 50% on ТГУ — the game was taken by ТГУ.
Model check result
Model favoriteТГУ · 50%
Series resultТГУ 2:0
Series predictioncorrect
Accuracy by game2 of 2