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FISSURE PLAYGROUND Belgrade 2025. Открытые квалификации · BO3
result vs prediction
Numa Numa leiloss 0:2
series probability
50%50%
probability at match start · final 0:2
proplayers 8kwin 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.

Numa Numa lei

No games played over 6 months.

proplayers 8k

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
490 picks · 673 bans
52%
Clockwerk
Clockwerk
415 picks · 490 bans
54%
Pangolier
Pangolier
359 picks · 529 bans
50%
Dark Willow
Dark Willow
348 picks · 183 bans
50%
Luna
Luna
340 picks · 451 bans
54%
Enchantress
Enchantress
305 picks · 593 bans
53%
Dragon Knight
Dragon Knight
303 picks · 488 bans
53%
Alchemist
Alchemist
300 picks · 634 bans
59%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Numa Numa lei
Head-to-head0 – 0
Model total50% Numa Numa lei
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
Numa Numa lei 50%proplayers 8k 50%
The model gave 50% on Numa Numa lei — the game was taken by proplayers 8k.
Game 2prediction missed
Numa Numa lei 50%proplayers 8k 50%
The model gave 50% on Numa Numa lei — the game was taken by proplayers 8k.
Model check result
Model favoriteNuma Numa lei · 50%
Series resultproplayers 8k 0:2
Series predictionmissed
Accuracy by game0 of 2