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FISSURE Universe: Episode 4. Открытые квалификации · BO3
result vs prediction
Back to Lobbywin 2:0
series probability
40%60%
probability at match start · final 2:0
SENZA Esportsloss 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.

Back to Lobby

No games played over 6 months.

SENZA Esports

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.
Phoenix
Phoenix
472 picks · 604 bans
54%
Muerta
Muerta
461 picks · 396 bans
51%
Batrider
Batrider
454 picks · 565 bans
51%
Clockwerk
Clockwerk
432 picks · 540 bans
56%
Gyrocopter
Gyrocopter
419 picks · 780 bans
56%
Tiny
Tiny
415 picks · 484 bans
51%
Magnus
Magnus
403 picks · 898 bans
59%
Lion
Lion
394 picks · 233 bans
55%
Prediction components
Form (series winrate)50% vs 50%
Hero pool strength50% Back to Lobby
Head-to-head0 – 0
Model total60% SENZA Esports
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
Back to Lobby 40%SENZA Esports 60%
The model gave 60% on SENZA Esports — the game was taken by Back to Lobby.
Game 2prediction missed
Back to Lobby 40%SENZA Esports 60%
The model gave 60% on SENZA Esports — the game was taken by Back to Lobby.
Model check result
Model favoriteSENZA Esports · 60%
Series resultBack to Lobby 2:0
Series predictionmissed
Accuracy by game0 of 2