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FISSURE PLAYGROUND Belgrade 2025. Открытые квалификации · BO1
result vs prediction
Habibiswin 1:0
series probability
51%49%
probability at match start · final 1:0
6millionloss 0:1
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.

6million

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
484 picks · 665 bans
51%
Clockwerk
Clockwerk
422 picks · 497 bans
54%
Pangolier
Pangolier
376 picks · 542 bans
48%
Dark Willow
Dark Willow
359 picks · 183 bans
50%
Batrider
Batrider
332 picks · 353 bans
49%
Luna
Luna
329 picks · 436 bans
55%
Enchantress
Enchantress
314 picks · 601 bans
53%
Invoker
Invoker
309 picks · 844 bans
49%
Prediction components
Form (series winrate)38% vs 50%
Hero pool strength50% Habibis
Head-to-head0 – 0
Model total51% Habibis
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 correct
Habibis 51%6million 49%
The model gave 51% on Habibis — the game was taken by Habibis.
Model check result
Model favoriteHabibis · 51%
Series resultHabibis 1:0
Series predictioncorrect
Accuracy by game1 of 1