European Pro League Season 38 · BO3
result vs predictionGG-Timeloss 0:2
series probability
65%35%
probability at match start · final 0:2
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.
G-Time
No games played over 6 months.
summer bear
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
611 picks · 381 bans
Rubick
503 picks · 278 bans
Phoenix
498 picks · 586 bans
Tiny
475 picks · 396 bans
Pangolier
415 picks · 576 bans
Puck
355 picks · 951 bans
Tusk
340 picks · 285 bans
Beastmaster
339 picks · 885 bans
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% G-Time
Head-to-head0 – 0
Model total65% 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
G-Time 65%summer bear 35%
The model gave 65% on G-Time — the game was taken by summer bear.
Game 2prediction missed
G-Time 65%summer bear 35%
The model gave 65% on G-Time — the game was taken by summer bear.
Model check result
Model favoriteG-Time · 65%
Series resultsummer bear 0:2
Series predictionmissed
Accuracy by game0 of 2