Esports World Cup 2026 по Dota 2. Открытые квалификации · BO3
result vs predictionAGALL GOODwin 1:0
series probability
50%50%
probability at match start · final 1:0
TNTeam nikka-123loss 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.
ALL GOOD
No games played over 6 months.
Team nikka-123
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.
Hoodwink
561 picks · 344 bans
Phoenix
476 picks · 567 bans
Rubick
453 picks · 236 bans
Tiny
432 picks · 362 bans
Pangolier
377 picks · 521 bans
Puck
325 picks · 858 bans
Beastmaster
318 picks · 799 bans
Jakiro
308 picks · 209 bans
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% ALL GOOD
Head-to-head0 – 0
Model total50% ALL GOOD
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
ALL GOOD 50%Team nikka-123 50%
The model gave 50% on ALL GOOD — the game was taken by ALL GOOD.
Model check result
Model favoriteALL GOOD · 50%
Series resultALL GOOD 1:0
Series predictioncorrect
Accuracy by game1 of 1