ESL One Kuala Lumpur 2023. Закрытые квалификации · BO3
result vs prediction
9Pandasloss 0:2series probability
76%24%
probability at match start · final 0:2
Klim Sani4win 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.
9Pandas
Doomsignature
MieRo · 34 games
Skywrath Magesignature
Antares · 33 games
Undyingsignature
Solo · 31 game
Alchemistsignature
RAMZES666 · 27 games
Beastmasteroften banned
MieRo · 27 games
Rubick
Antares · 23 games
Windranger
kiyotaka · 23 games
Enigmasignature
MieRo · 22 games
Klim Sani4
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.
Vengeful Spirit
222 picks · 272 bans
Dark Willow
203 picks · 88 bans
Grimstroke
198 picks · 230 bans
Pangolier
185 picks · 398 bans
Phoenix
170 picks · 230 bans
Sven
170 picks · 250 bans
Earthshaker
169 picks · 171 bans
Treant Protector
164 picks · 374 bans
Prediction components
Form (series winrate)36% vs 71%
Hero pool strength55% 9Pandas
Head-to-head0 – 0
Model total76% 9Pandas
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 missed11:32
9Pandas 76%Klim Sani4 24%
The model gave 76% on 9Pandas — the game was taken by Klim Sani4 in 33:19.
Game 2prediction missed38:55
9Pandas 76%Klim Sani4 24%
The model gave 76% on 9Pandas — the game was taken by Klim Sani4 in 1:12:05.
Model check result
Model favorite9Pandas · 76%
Series resultKlim Sani4 0:2
Series predictionmissed
Accuracy by game0 of 2