ESL One Bangkok 2024. Открытые квалификации · BO1
result vs predictionseries probability
50%50%
probability at match start · final 0:1
GTGG teamwin 1:0
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.
Waffle Warriors
No games played over 6 months.
GG team
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.
Tusk
422 picks · 523 bans
Clockwerk
371 picks · 360 bans
Pangolier
320 picks · 447 bans
Luna
311 picks · 363 bans
Enchantress
299 picks · 568 bans
Dark Willow
272 picks · 143 bans
Dragon Knight
260 picks · 346 bans
Shadow Demon
255 picks · 942 bans
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Waffle Warriors
Head-to-head0 – 0
Model total50% Waffle Warriors
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 missed
Waffle Warriors 50%GG team 50%
The model gave 50% on Waffle Warriors — the game was taken by GG team.
Model check result
Model favoriteWaffle Warriors · 50%
Series resultGG team 0:1
Series predictionmissed
Accuracy by game0 of 1