FISSURE PLAYGROUND Belgrade 2025. Открытые квалификации · BO3
result vs predictionTGTeam Gaoda123loss 1:2
series probability
49%51%
probability at match start · final 1:2
TUTeam Uluwin 2:1
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.
Team Gaoda123
No games played over 6 months.
Team Ulu
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
491 picks · 675 bans
Clockwerk
418 picks · 484 bans
Pangolier
360 picks · 525 bans
Dark Willow
351 picks · 181 bans
Luna
343 picks · 454 bans
Enchantress
305 picks · 597 bans
Dragon Knight
304 picks · 477 bans
Batrider
302 picks · 319 bans
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Team Gaoda123
Head-to-head0 – 0
Model total51% Team Ulu
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 correct25:42
Team Gaoda123 49%Team Ulu 51%
The model gave 51% on Team Ulu — the game was taken by Team Ulu in 40:31.
Game 2prediction missed50:33
Team Gaoda123 49%Team Ulu 51%
The model gave 51% on Team Ulu — the game was taken by Team Gaoda123 in 39:18.
Game 3prediction correct43:13
Team Gaoda123 49%Team Ulu 51%
The model gave 51% on Team Ulu — the game was taken by Team Ulu in 32:58.
Model check result
Model favoriteTeam Ulu · 51%
Series resultTeam Ulu 1:2
Series predictioncorrect
Accuracy by game2 of 3