Riyadh Masters 2025. Открытые квалификации · BO1
result vs prediction
Cyber Goosewin 1:0series probability
85%15%
probability at match start · final 1:0
IiQdiffloss 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.
Cyber Goose
No games played over 6 months.
iQdiff
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.
Jakiro
480 picks · 446 bans
Tiny
470 picks · 540 bans
Ringmaster
442 picks · 222 bans
Terrorblade
346 picks · 662 bans
Storm Spirit
305 picks · 454 bans
Ancient Apparition
298 picks · 679 bans
Tusk
292 picks · 232 bans
Windranger
284 picks · 86 bans
Prediction components
Form (series winrate)75% vs 60%
Hero pool strength50% Cyber Goose
Head-to-head0 – 0
Model total85% Cyber Goose
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
Cyber Goose 85%iQdiff 15%
The model gave 85% on Cyber Goose — the game was taken by Cyber Goose.
Model check result
Model favoriteCyber Goose · 85%
Series resultCyber Goose 1:0
Series predictioncorrect
Accuracy by game1 of 1