ESL One Raleigh 2025. Закрытые квалификации · BO3
result vs predictionWWhiteIceloss 0:2
series probability
61%39%
probability at match start · final 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.
WhiteIce
No games played over 6 months.
Sadboys
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
484 picks · 409 bans
Clockwerk
447 picks · 581 bans
Batrider
425 picks · 526 bans
Lion
419 picks · 230 bans
Gyrocopter
413 picks · 709 bans
Phoenix
404 picks · 470 bans
Pangolier
373 picks · 595 bans
Beastmaster
357 picks · 934 bans
Prediction components
Form (series winrate)43% vs 50%
Hero pool strength50% WhiteIce
Head-to-head0 – 0
Model total61% WhiteIce
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 missed45:20
WhiteIce 61%Sadboys 39%
The model gave 61% on WhiteIce — the game was taken by Sadboys in 32:21.
Game 2prediction missed46:35
WhiteIce 61%Sadboys 39%
The model gave 61% on WhiteIce — the game was taken by Sadboys in 42:16.
Model check result
Model favoriteWhiteIce · 61%
Series resultSadboys 0:2
Series predictionmissed
Accuracy by game0 of 2