ESL One Raleigh 2025. Закрытые квалификации · BO3
result vs predictionTCTeam Cyberdingloss 1:2
series probability
46%54%
probability at match start · final 1:2
DDDead Denastywin 2:1
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.
Team Cyberding
No games played over 6 months.
Dead Denasty
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
482 picks · 407 bans
Clockwerk
449 picks · 567 bans
Batrider
420 picks · 524 bans
Lion
412 picks · 223 bans
Gyrocopter
408 picks · 684 bans
Phoenix
402 picks · 450 bans
Pangolier
374 picks · 593 bans
Beastmaster
355 picks · 920 bans
Prediction components
Form (series winrate)60% vs 60%
Hero pool strength50% Team Cyberding
Head-to-head0 – 0
Model total54% Dead Denasty
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 missed31:35
Team Cyberding 46%Dead Denasty 54%
The model gave 54% on Dead Denasty — the game was taken by Team Cyberding in 41:28.
Game 2prediction correct6:19
Team Cyberding 46%Dead Denasty 54%
The model gave 54% on Dead Denasty — the game was taken by Dead Denasty in 22:58.
Game 3prediction correct13:44
Team Cyberding 46%Dead Denasty 54%
The model gave 54% on Dead Denasty — the game was taken by Dead Denasty in 32:10.
Model check result
Model favoriteDead Denasty · 54%
Series resultDead Denasty 1:2
Series predictioncorrect
Accuracy by game2 of 3