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PGL Wallachia Season 2. Открытые квалификации · BO3
result vs prediction
TokyoGhoullloss 1:2
series probability
51%49%
probability at match start · final 1:2
La Correntadawin 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.

TokyoGhoull

No games played over 6 months.

La Correntada

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
418 picks · 315 bans
51%
Hoodwink
Hoodwink
416 picks · 441 bans
54%
Weaver
Weaver
393 picks · 828 bans
54%
Tiny
Tiny
391 picks · 885 bans
53%
Phoenix
Phoenix
362 picks · 715 bans
50%
Pangolier
Pangolier
361 picks · 515 bans
46%
Clockwerk
Clockwerk
350 picks · 484 bans
55%
Dragon Knight
Dragon Knight
308 picks · 537 bans
47%
Prediction components
Form (series winrate)50% vs 38%
Hero pool strength50% TokyoGhoull
Head-to-head0 – 0
Model total51% TokyoGhoull
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
TokyoGhoull 51%La Correntada 49%
The model gave 51% on TokyoGhoull — the game was taken by TokyoGhoull.
Game 2prediction missed
TokyoGhoull 51%La Correntada 49%
The model gave 51% on TokyoGhoull — the game was taken by La Correntada.
Game 3prediction missed
TokyoGhoull 51%La Correntada 49%
The model gave 51% on TokyoGhoull — the game was taken by La Correntada.
Model check result
Model favoriteTokyoGhoull · 51%
Series resultLa Correntada 1:2
Series predictionmissed
Accuracy by game1 of 3