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Школьная лига 2023 · BO3
result vs prediction
Лицей №5loss 0:2
series probability
50%50%
probability at match start · final 0:2
Гимназия №1win 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.

Лицей №5

No games played over 6 months.

Гимназия №1

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.
Grimstroke
Grimstroke
272 picks · 440 bans
53%
Dark Willow
Dark Willow
235 picks · 114 bans
54%
Muerta
Muerta
235 picks · 327 bans
52%
Phoenix
Phoenix
223 picks · 326 bans
46%
Treant Protector
Treant Protector
218 picks · 440 bans
57%
Tusk
Tusk
205 picks · 173 bans
48%
Kunkka
Kunkka
204 picks · 541 bans
60%
Centaur Warrunner
Centaur Warrunner
195 picks · 268 bans
49%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Лицей №5
Head-to-head0 – 0
Model total50% Лицей №5
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
Лицей №5 50%Гимназия №1 50%
The model gave 50% on Лицей №5 — the game was taken by Гимназия №1.
Game 2prediction missed
Лицей №5 50%Гимназия №1 50%
The model gave 50% on Лицей №5 — the game was taken by Гимназия №1.
Model check result
Model favoriteЛицей №5 · 50%
Series resultГимназия №1 0:2
Series predictionmissed
Accuracy by game0 of 2