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ESL One Malaysia 2022. Закрытые квалификации · BO3
result vs prediction
BETBOOM TEAMwin 2:1
series probability
74%26%
probability at match start · final 2:1
cybercatsloss 1:2
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.

BETBOOM TEAM

Disruptor
Disruptor
CeMaTheSlayeR · 10 games
50%
Puck
Pucksignature
Ainkrad · 8 games
63%
Enchantress
Enchantressoften banned
Bignum · 7 games
43%
Queen of Pain
Queen of Painsignature
fn · 7 games
71%
Snapfire
Snapfire
CeMaTheSlayeR · 7 games
57%
Beastmaster
Beastmastersignature
Petushara · 6 games
67%
Clockwerk
Clockwerk
CeMaTheSlayeR · 6 games
33%
Hoodwink
Hoodwink
CeMaTheSlayeR · 6 games
33%

cybercats

Hoodwink
Hoodwink
Fezor · 27 games
48%
Weaver
Weaveroften banned
Shigetsu · 19 games
53%
Sand King
Sand Kingsignature
DkFogas · 18 games
72%
Clockwerk
Clockwerksignature
Hduo · 14 games
64%
Grimstroke
Grimstrokeoften banned
Hduo · 13 games
31%
Jakiro
Jakiro
Hduo · 13 games
38%
Chaos Knight
Chaos Knightoften banned
Shigetsu · 11 games
27%
Doom
Doomsignature
Fezor · 11 games
64%
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
Tiny
626 picks · 470 bans
51%
Puck
Puck
438 picks · 941 bans
56%
Snapfire
Snapfire
363 picks · 189 bans
51%
Dawnbreaker
Dawnbreaker
356 picks · 416 bans
46%
Mars
Mars
356 picks · 587 bans
47%
Dragon Knight
Dragon Knight
336 picks · 457 bans
50%
Bane
Bane
315 picks · 196 bans
57%
Marci
Marci
306 picks · 617 bans
52%
Prediction components
Form (series winrate)48% vs 64%
Hero pool strength50% BETBOOM TEAM
Head-to-head0 – 0
Model total74% BETBOOM TEAM
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 missed24:49
BETBOOM TEAM 74%cybercats 26%
The model gave 74% on BETBOOM TEAM — the game was taken by cybercats in 42:38.
Game 2prediction correct35:28
BETBOOM TEAM 74%cybercats 26%
The model gave 74% on BETBOOM TEAM — the game was taken by BETBOOM TEAM in 45:22.
Game 3prediction correct22:7
BETBOOM TEAM 74%cybercats 26%
The model gave 74% on BETBOOM TEAM — the game was taken by BETBOOM TEAM in 30:57.
Model check result
Model favoriteBETBOOM TEAM · 74%
Series resultBETBOOM TEAM 2:1
Series predictioncorrect
Accuracy by game2 of 3