ESL One Raleigh 2025. Открытые квалификации · BO1
result vs prediction
Get Rektloss 0:2series probability
65%35%
probability at match start · final 0:2
WWhiteIcewin 2:0
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.
Get Rekt
No games played over 6 months.
WhiteIce
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.
Muerta
467 picks · 382 bans
Clockwerk
426 picks · 541 bans
Batrider
385 picks · 487 bans
Gyrocopter
373 picks · 604 bans
Lion
373 picks · 200 bans
Phoenix
365 picks · 410 bans
Pangolier
360 picks · 584 bans
Beastmaster
342 picks · 864 bans
Prediction components
Form (series winrate)50% vs 40%
Hero pool strength50% Get Rekt
Head-to-head0 – 0
Model total65% Get Rekt
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 missed35:51
Get Rekt 65%WhiteIce 35%
The model gave 65% on Get Rekt — the game was taken by WhiteIce in 38:55.
Game 2prediction missed34:44
Get Rekt 65%WhiteIce 35%
The model gave 65% on Get Rekt — the game was taken by WhiteIce in 34:51.
Model check result
Model favoriteGet Rekt · 65%
Series resultWhiteIce 0:2
Series predictionmissed
Accuracy by game0 of 2