?
Dota Pro Circuit 2023: Season 2. ЮВА. Открытые отборочные · BO3
result vs prediction
Team Egoistloss 0:2
series probability
50%50%
probability at match start · final 0:2
Team Toughwin 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.

Team Egoist

No games played over 6 months.

Team Tough

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.
Rubick
Rubick
765 picks · 496 bans
51%
Tiny
Tiny
544 picks · 392 bans
51%
Tusk
Tusk
540 picks · 437 bans
49%
Treant Protector
Treant Protector
533 picks · 582 bans
57%
Nature's Prophet
Nature's Prophet
411 picks · 633 bans
54%
Snapfire
Snapfire
394 picks · 276 bans
45%
Death Prophet
Death Prophet
384 picks · 684 bans
50%
Ember Spirit
Ember Spirit
358 picks · 771 bans
49%
Prediction components
Form (series winrate)60% vs 60%
Hero pool strength50% Team Egoist
Head-to-head0 – 0
Model total50% Team Tough
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 correct17:30
Team Egoist 50%Team Tough 50%
The model gave 50% on Team Tough — the game was taken by Team Tough in 29:17.
Game 2prediction correct42:26
Team Egoist 50%Team Tough 50%
The model gave 50% on Team Tough — the game was taken by Team Tough in 51:52.
Model check result
Model favoriteTeam Tough · 50%
Series resultTeam Tough 0:2
Series predictioncorrect
Accuracy by game2 of 2