ESL One Bangkok 2024. Открытые квалификации · BO1
result vs prediction
Neutralcamploss 0:1series probability
57%43%
probability at match start · final 0:1
GTGG teamwin 1:0
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.
Neutralcamp
Invokeroften banned
Panda · 2 games
Alchemistoften banned
chempik · 1 game
Bristlebackoften banned
krol9ash · 1 game
Dawnbreakeroften banned
krol9ash · 1 game
Hoodwink
Delight · 1 game
Nyx Assassinoften banned
Delight · 1 game
Phoenix
Delight · 1 game
Storm Spiritoften banned
Panda · 1 game
GG team
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)55% vs 50%
Hero pool strength54% Neutralcamp
Head-to-head0 – 0
Model total57% Neutralcamp
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 missed23:35
Neutralcamp 57%GG team 43%
The model gave 57% on Neutralcamp — the game was taken by GG team in 32:23.
Model check result
Model favoriteNeutralcamp · 57%
Series resultGG team 0:1
Series predictionmissed
Accuracy by game0 of 1