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BLAST Slam VII. Открытые квалификации · BO3
result vs prediction
NGNBwin 2:1
series probability
47%53%
probability at match start · final 2:1
GTWloss 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.

NGNB

No games played over 6 months.

GTW

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.
Jakiro
Jakiro
675 picks · 848 bans
49%
Tiny
Tiny
577 picks · 583 bans
49%
Tusk
Tusk
501 picks · 428 bans
49%
Warlock
Warlock
479 picks · 335 bans
47%
Shadow Demon
Shadow Demon
418 picks · 1135 bans
57%
Ember Spirit
Ember Spirit
405 picks · 688 bans
57%
Shadow Fiend
Shadow Fiend
398 picks · 1028 bans
55%
Mars
Mars
394 picks · 619 bans
48%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% NGNB
Head-to-head0 – 0
Model total53% GTW
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
NGNB 47%GTW 53%
The model gave 53% on GTW — the game was taken by GTW.
Game 2prediction missed
NGNB 47%GTW 53%
The model gave 53% on GTW — the game was taken by NGNB.
Game 3prediction missed
NGNB 47%GTW 53%
The model gave 53% on GTW — the game was taken by NGNB.
Model check result
Model favoriteGTW · 53%
Series resultNGNB 2:1
Series predictionmissed
Accuracy by game1 of 3