ESL One Bangkok 2024. Открытые квалификации · BO1
result vs predictionHHabibiswin 1:0
series probability
56%44%
probability at match start · final 1:0
Por No Stickloss 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.
Habibis
No games played over 6 months.
Por No Stick
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
432 picks · 551 bans
Clockwerk
376 picks · 374 bans
Pangolier
329 picks · 440 bans
Luna
316 picks · 372 bans
Enchantress
301 picks · 577 bans
Dark Willow
278 picks · 148 bans
Dragon Knight
265 picks · 344 bans
Batrider
258 picks · 242 bans
Prediction components
Form (series winrate)40% vs 40%
Hero pool strength50% Habibis
Head-to-head0 – 0
Model total56% Habibis
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 correct34:10
Habibis 56%Por No Stick 44%
The model gave 56% on Habibis — the game was taken by Habibis in 20:19.
Model check result
Model favoriteHabibis · 56%
Series resultHabibis 1:0
Series predictioncorrect
Accuracy by game1 of 1