European Pro League Season 38 · BO3
result vs predictionGG-Timeloss 0:1
series probability
28%72%
probability at match start · final 0:1
VP.Prodigywin 1:0The 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.
G-Time
No games played over 6 months.
VP.Prodigy
Shadow Shamansignature
JANTER · 28 games
Ringmaster
raregods · 27 games
Tiny
raregods · 26 games
Shadow Fiendsignature
cutie · 17 games
Tidehunteroften banned
takizawa · 17 games
Bounty Huntersignature
raregods · 16 games
Puckoften banned
Serenada · 16 games
Sand Kingsignature
Katsura · 16 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
633 picks · 432 bans
Rubick
553 picks · 312 bans
Phoenix
485 picks · 588 bans
Tiny
463 picks · 394 bans
Pangolier
434 picks · 645 bans
Puck
350 picks · 1015 bans
Ember Spirit
342 picks · 531 bans
Tusk
341 picks · 303 bans
Prediction components
Form (series winrate)43% vs 50%
Hero pool strength52% VP.Prodigy
Head-to-head0 – 0
Model total72% 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 correct
G-Time 28%VP.Prodigy 72%
The model gave 72% on VP.Prodigy — the game was taken by VP.Prodigy.
Model check result
Model favoriteVP.Prodigy · 72%
Series resultVP.Prodigy 0:1
Series predictioncorrect
Accuracy by game1 of 1