?
ESL One Bangkok 2024. Открытые квалификации · BO3
result vs prediction
Team baracudaloss 0:2
series probability
50%50%
probability at match start · final 0:2
photographerswin 2:0
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.

Team baracuda

No games played over 6 months.

photographers

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
Tusk
436 picks · 567 bans
51%
Clockwerk
Clockwerk
375 picks · 381 bans
53%
Pangolier
Pangolier
321 picks · 447 bans
49%
Luna
Luna
320 picks · 379 bans
54%
Enchantress
Enchantress
302 picks · 571 bans
51%
Dark Willow
Dark Willow
284 picks · 153 bans
50%
Dragon Knight
Dragon Knight
266 picks · 332 bans
51%
Shadow Demon
Shadow Demon
258 picks · 987 bans
60%
Prediction components
Form (series winrate)50% vs 60%
Hero pool strength50% Team baracuda
Head-to-head0 – 0
Model total50% Team baracuda
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 missed
Team baracuda 50%photographers 50%
The model gave 50% on Team baracuda — the game was taken by photographers.
Game 2prediction missed
Team baracuda 50%photographers 50%
The model gave 50% on Team baracuda — the game was taken by photographers.
Model check result
Model favoriteTeam baracuda · 50%
Series resultphotographers 0:2
Series predictionmissed
Accuracy by game0 of 2