ESL One Malaysia 2022. Закрытые квалификации · BO5
result vs predictionseries probability
50%50%
probability at match start · final 3:0
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.
Entity
No games played over 6 months.
BETBOOM TEAM
Disruptor
CeMaTheSlayeR · 10 games
Pucksignature
Ainkrad · 8 games
Enchantressoften banned
Bignum · 7 games
Queen of Painsignature
fn · 7 games
Snapfire
CeMaTheSlayeR · 7 games
Beastmastersignature
Petushara · 6 games
Clockwerk
CeMaTheSlayeR · 6 games
Hoodwink
CeMaTheSlayeR · 6 games
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.
Tiny
634 picks · 477 bans
Puck
445 picks · 955 bans
Snapfire
366 picks · 189 bans
Dawnbreaker
364 picks · 429 bans
Mars
350 picks · 586 bans
Dragon Knight
333 picks · 450 bans
Marci
314 picks · 629 bans
Bane
311 picks · 191 bans
Prediction components
Form (series winrate)63% vs 54%
Hero pool strength52% BETBOOM TEAM
Head-to-head1 – 0
Model total50% Entity
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 missed8:19
Entity 50%BETBOOM TEAM 50%
The model gave 50% on Entity — the game was taken by BETBOOM TEAM in 29:15.
Game 2prediction correct
Entity 50%BETBOOM TEAM 50%
The model gave 50% on Entity — the game was taken by Entity.
Game 3prediction correct
Entity 50%BETBOOM TEAM 50%
The model gave 50% on Entity — the game was taken by Entity.
Model check result
Model favoriteEntity · 50%
Series resultEntity 3:0
Series predictioncorrect
Accuracy by game2 of 3