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FISSURE PLAYGROUND Belgrade 2025. Открытые квалификации · BO1
result vs prediction
Habibisloss 0:0
series probability
42%58%
probability at match start · final 0:0
Drago_Kingsloss 0:0
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.

Habibis

No games played over 6 months.

Drago_Kings

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
492 picks · 678 bans
52%
Clockwerk
Clockwerk
418 picks · 483 bans
54%
Pangolier
Pangolier
361 picks · 527 bans
49%
Dark Willow
Dark Willow
351 picks · 181 bans
50%
Luna
Luna
347 picks · 454 bans
55%
Enchantress
Enchantress
307 picks · 599 bans
53%
Batrider
Batrider
304 picks · 318 bans
48%
Dragon Knight
Dragon Knight
304 picks · 479 bans
53%
Prediction components
Form (series winrate)43% vs 60%
Hero pool strength50% Habibis
Head-to-head0 – 0
Model total58% Drago_Kings
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.
Model check result
Model favoriteDrago_Kings · 58%