European Pro League Season 38 · BO3
result vs predictionseries probability
37%63%
probability at match start · final 1:2
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.
summer bear
No games played over 6 months.
VP.Prodigy
Shadow Shamansignature
JANTER · 28 games
Ringmaster
raregods · 25 games
Tiny
raregods · 23 games
Bounty Hunter
raregods · 17 games
Sand Kingoften banned
Katsura · 17 games
Tidehunteroften banned
takizawa · 16 games
Clinkzsignature
cutie · 15 games
Disruptor
JANTER · 15 games
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
613 picks · 385 bans
Rubick
505 picks · 278 bans
Phoenix
494 picks · 581 bans
Tiny
473 picks · 392 bans
Pangolier
415 picks · 578 bans
Puck
350 picks · 957 bans
Tusk
336 picks · 282 bans
Beastmaster
335 picks · 882 bans
Prediction components
Form (series winrate)60% vs 43%
Hero pool strength50% summer bear
Head-to-head0 – 0
Model total63% VP.Prodigy
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
summer bear 37%VP.Prodigy 63%
The model gave 63% on VP.Prodigy — the game was taken by summer bear.
Game 2prediction correct
summer bear 37%VP.Prodigy 63%
The model gave 63% on VP.Prodigy — the game was taken by VP.Prodigy.
Game 3prediction correct
summer bear 37%VP.Prodigy 63%
The model gave 63% on VP.Prodigy — the game was taken by VP.Prodigy.
Model check result
Model favoriteVP.Prodigy · 63%
Series resultVP.Prodigy 1:2
Series predictioncorrect
Accuracy by game2 of 3