ESL One Bangkok 2024. Открытые квалификации · BO3
result vs predictionAJApex Jr.loss 0:2
series probability
35%65%
probability at match start · final 0:2
Zone Academywin 2:0The 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.
Apex Jr.
No games played over 6 months.
Zone Academy
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
436 picks · 567 bans
Clockwerk
375 picks · 381 bans
Pangolier
321 picks · 447 bans
Luna
320 picks · 379 bans
Enchantress
302 picks · 571 bans
Dark Willow
284 picks · 153 bans
Dragon Knight
266 picks · 332 bans
Shadow Demon
258 picks · 987 bans
Prediction components
Form (series winrate)50% vs 64%
Hero pool strength50% Apex Jr.
Head-to-head0 – 0
Model total65% Zone Academy
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
Apex Jr. 35%Zone Academy 65%
The model gave 65% on Zone Academy — the game was taken by Zone Academy.
Game 2prediction correct
Apex Jr. 35%Zone Academy 65%
The model gave 65% on Zone Academy — the game was taken by Zone Academy.
Model check result
Model favoriteZone Academy · 65%
Series resultZone Academy 0:2
Series predictioncorrect
Accuracy by game2 of 2