ESL One Raleigh 2025. Открытые квалификации · BO1
result vs prediction
Ban9PivoSamogonwin 1:0series probability
60%40%
probability at match start · final 1:0
4Piratesloss 0:1The 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.
Ban9PivoSamogon
No games played over 6 months.
4Pirates
Muerta
ariel · 13 games
Timbersawoften banned
мистер мораль · 13 games
Lionsignature
ariel · 10 games
Shadow Demonoften banned
PERDAN4IK · 9 games
Sniperoften banned
NattyNarwhal · 9 games
Ogre Magi
PERDAN4IK · 8 games
Clockwerkoften banned
ariel · 7 games
Dawnbreakeroften banned
Otaker · 7 games
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 · 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 · 395 bans
Pangolier
355 picks · 586 bans
Beastmaster
341 picks · 848 bans
Prediction components
Form (series winrate)62% vs 45%
Hero pool strength50% Ban9PivoSamogon
Head-to-head0 – 0
Model total60% Ban9PivoSamogon
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
Ban9PivoSamogon 60%4Pirates 40%
The model gave 60% on Ban9PivoSamogon — the game was taken by Ban9PivoSamogon.
Model check result
Model favoriteBan9PivoSamogon · 60%
Series resultBan9PivoSamogon 1:0
Series predictioncorrect
Accuracy by game1 of 1