?
ESL One Raleigh 2025. Открытые квалификации · BO1
result vs prediction
MOUZwin 1:0
series probability
89%11%
probability at match start · final 1:0
skibidiffloss 0:1
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.

MOUZ

Morphling
Morphlingsignature
Ulnit · 23 games
61%
Dark Willow
Dark Willow
NARMAN · 21 game
48%
Tusk
Tuskoften banned
bengan · 21 game
38%
Ember Spirit
Ember Spiritoften banned
Supream^ · 19 games
58%
Hoodwink
Hoodwink
NARMAN · 19 games
47%
Clockwerk
Clockwerkoften banned
bengan · 18 games
56%
Dragon Knight
Dragon Knightoften banned
Supream^ · 18 games
50%
Muerta
Muertasignature
Thiolicor · 18 games
72%

skibidiff

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
Muerta
453 picks · 370 bans
52%
Clockwerk
Clockwerk
421 picks · 542 bans
54%
Batrider
Batrider
374 picks · 474 bans
52%
Lion
Lion
369 picks · 193 bans
54%
Gyrocopter
Gyrocopter
360 picks · 579 bans
54%
Phoenix
Phoenix
356 picks · 394 bans
51%
Pangolier
Pangolier
355 picks · 585 bans
45%
Beastmaster
Beastmaster
339 picks · 848 bans
52%
Prediction components
Form (series winrate)53% vs 40%
Hero pool strength51% MOUZ
Head-to-head1 – 0
Model total89% MOUZ
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
MOUZ 89%skibidiff 11%
The model gave 89% on MOUZ — the game was taken by MOUZ.
Model check result
Model favoriteMOUZ · 89%
Series resultMOUZ 1:0
Series predictioncorrect
Accuracy by game1 of 1