ESL One Raleigh 2025. Открытые квалификации · BO3
result vs predictionseries probability
50%50%
probability at match start · final 0:2
EEgoistswin 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.
Wolf Warriors
No games played over 6 months.
Egoists
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
454 picks · 371 bans
Clockwerk
422 picks · 540 bans
Batrider
375 picks · 476 bans
Lion
370 picks · 195 bans
Gyrocopter
360 picks · 583 bans
Phoenix
359 picks · 396 bans
Pangolier
355 picks · 586 bans
Beastmaster
341 picks · 849 bans
Prediction components
Form (series winrate)43% vs 50%
Hero pool strength50% Wolf Warriors
Head-to-head0 – 0
Model total50% Wolf Warriors
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
Wolf Warriors 50%Egoists 50%
The model gave 50% on Wolf Warriors — the game was taken by Egoists.
Game 2prediction missed
Wolf Warriors 50%Egoists 50%
The model gave 50% on Wolf Warriors — the game was taken by Egoists.
Model check result
Model favoriteWolf Warriors · 50%
Series resultEgoists 0:2
Series predictionmissed
Accuracy by game0 of 2