ESL One Raleigh 2025. Открытые квалификации · BO3
result vs prediction
Get Rektloss 0:2series probability
61%39%
probability at match start · final 0:2
DDDead Denastywin 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.
Get Rekt
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
465 picks · 377 bans
Clockwerk
420 picks · 539 bans
Batrider
381 picks · 484 bans
Lion
372 picks · 199 bans
Gyrocopter
368 picks · 598 bans
Phoenix
365 picks · 406 bans
Pangolier
359 picks · 582 bans
Beastmaster
342 picks · 857 bans
Prediction components
Form (series winrate)56% vs 50%
Hero pool strength50% Get Rekt
Head-to-head0 – 0
Model total61% Get Rekt
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
Get Rekt 61%Dead Denasty 39%
The model gave 61% on Get Rekt — the game was taken by Dead Denasty.
Game 2prediction missed
Get Rekt 61%Dead Denasty 39%
The model gave 61% on Get Rekt — the game was taken by Dead Denasty.
Model check result
Model favoriteGet Rekt · 61%
Series resultDead Denasty 0:2
Series predictionmissed
Accuracy by game0 of 2