Открытые киберспортивные студенческие игры 2024. Российский финал · BO3
result vs predictionTT-Teamwin 2:0
series probability
44%56%
probability at match start · final 2:0
PPrimeT3nLLl1kloss 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.
T-Team
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.
Pangolier
342 picks · 458 bans
Clockwerk
341 picks · 297 bans
Tusk
326 picks · 449 bans
Snapfire
322 picks · 213 bans
Enchantress
313 picks · 566 bans
Dragon Knight
281 picks · 460 bans
Windranger
265 picks · 373 bans
Luna
258 picks · 320 bans
Prediction components
Form (series winrate)40% vs 40%
Hero pool strength50% T-Team
Head-to-head0 – 0
Model total56% PrimeT3nLLl1k
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
T-Team 44%PrimeT3nLLl1k 56%
The model gave 56% on PrimeT3nLLl1k — the game was taken by T-Team.
Game 2prediction missed
T-Team 44%PrimeT3nLLl1k 56%
The model gave 56% on PrimeT3nLLl1k — the game was taken by T-Team.
Model check result
Model favoritePrimeT3nLLl1k · 56%
Series resultT-Team 2:0
Series predictionmissed
Accuracy by game0 of 2