ESL One Raleigh 2025. Открытые квалификации · BO1
result vs prediction
Hydraloss 0:1series probability
44%56%
probability at match start · final 0:1
Ban9PivoSamogonwin 1:0The 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.
Hydra
Dark Willowsignature
Astral · 10 games
Morphlingoften banned
selfhate · 10 games
Queen of Painoften banned
Ethereal · 9 games
Beastmasteroften banned
Actor · 8 games
Muerta
prblms · 8 games
Monkey Kingoften banned
Ethereal · 7 games
Templar Assassinoften banned
selfhate · 7 games
Tinysignature
Ethereal · 7 games
Ban9PivoSamogon
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
453 picks · 370 bans
Clockwerk
421 picks · 542 bans
Batrider
374 picks · 474 bans
Lion
370 picks · 194 bans
Gyrocopter
360 picks · 581 bans
Phoenix
358 picks · 394 bans
Pangolier
355 picks · 586 bans
Beastmaster
340 picks · 849 bans
Prediction components
Form (series winrate)47% vs 58%
Hero pool strength51% Hydra
Head-to-head0 – 0
Model total56% 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
Hydra 44%Ban9PivoSamogon 56%
The model gave 56% on Ban9PivoSamogon — the game was taken by Ban9PivoSamogon.
Model check result
Model favoriteBan9PivoSamogon · 56%
Series resultBan9PivoSamogon 0:1
Series predictioncorrect
Accuracy by game1 of 1