ESL One Raleigh 2025. Открытые квалификации · BO3
result vs predictionseries probability
68%32%
probability at match start · final 2:1
CriTicS Esportsloss 1:2The 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.
Winners
No games played over 6 months.
CriTicS Esports
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.
Muerta
453 picks · 370 bans
Clockwerk
421 picks · 540 bans
Batrider
375 picks · 474 bans
Lion
370 picks · 195 bans
Gyrocopter
359 picks · 582 bans
Phoenix
358 picks · 394 bans
Pangolier
354 picks · 585 bans
Beastmaster
340 picks · 848 bans
Prediction components
Form (series winrate)33% vs 22%
Hero pool strength50% Winners
Head-to-head1 – 0
Model total68% Winners
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
Winners 68%CriTicS Esports 32%
The model gave 68% on Winners — the game was taken by Winners.
Game 2prediction missed
Winners 68%CriTicS Esports 32%
The model gave 68% on Winners — the game was taken by CriTicS Esports.
Game 3prediction correct
Winners 68%CriTicS Esports 32%
The model gave 68% on Winners — the game was taken by Winners.
Model check result
Model favoriteWinners · 68%
Series resultWinners 2:1
Series predictioncorrect
Accuracy by game2 of 3