BLAST Slam VIII. Открытые квалификации · BO1
result vs prediction
4ikibamboniwin 1:0series probability
82%18%
probability at match start · final 1:0
WWhiteSailsloss 0:1
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.
4ikibamboni
Tusksignature
waveformn · 13 games
Shadow Fiendoften banned
yowaai · 11 games
Axeoften banned
Ankou · 10 games
Rubicksignature
waveformn · 10 games
Baneoften banned
ani-san · 8 games
Hoodwinksignature
waveformn · 8 games
Vipersignature
Ethereal · 8 games
Windranger
waveformn · 8 games
WhiteSails
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
489 picks · 332 bans
Bane
351 picks · 463 bans
Clockwerk
339 picks · 531 bans
Ember Spirit
324 picks · 503 bans
Shadow Fiend
315 picks · 653 bans
Tiny
291 picks · 321 bans
Windranger
275 picks · 203 bans
Rubick
261 picks · 145 bans
Prediction components
Form (series winrate)57% vs 50%
Hero pool strength52% 4ikibamboni
Head-to-head0 – 0
Model total82% 4ikibamboni
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
4ikibamboni 82%WhiteSails 18%
The model gave 82% on 4ikibamboni — the game was taken by 4ikibamboni.
Model check result
Model favorite4ikibamboni · 82%
Series result4ikibamboni 1:0
Series predictioncorrect
Accuracy by game1 of 1