European Pro League Season 38 · BO3
result vs prediction
Balu Teamloss 1:2series probability
48%52%
probability at match start · final 1:2
GG-Timewin 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.
Balu Team
No games played over 6 months.
G-Time
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
607 picks · 377 bans
Rubick
497 picks · 276 bans
Phoenix
494 picks · 582 bans
Tiny
469 picks · 392 bans
Pangolier
411 picks · 570 bans
Puck
346 picks · 940 bans
Beastmaster
337 picks · 872 bans
Tusk
335 picks · 283 bans
Prediction components
Form (series winrate)38% vs 50%
Hero pool strength50% Balu Team
Head-to-head0 – 0
Model total52% G-Time
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
Balu Team 48%G-Time 52%
The model gave 52% on G-Time — the game was taken by Balu Team.
Game 2prediction correct
Balu Team 48%G-Time 52%
The model gave 52% on G-Time — the game was taken by G-Time.
Game 3prediction correct
Balu Team 48%G-Time 52%
The model gave 52% on G-Time — the game was taken by G-Time.
Model check result
Model favoriteG-Time · 52%
Series resultG-Time 1:2
Series predictioncorrect
Accuracy by game2 of 3