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ESL One Raleigh 2025. Открытые квалификации · BO3
result vs prediction
Wolf Warriorswin 2:0
series probability
68%32%
probability at match start · final 2:0
CriTicS 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.

Wolf Warriors

No games played over 6 months.

CriTicS 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.
Muerta
Muerta
463 picks · 374 bans
52%
Clockwerk
Clockwerk
422 picks · 538 bans
54%
Batrider
Batrider
377 picks · 485 bans
51%
Lion
Lion
375 picks · 198 bans
55%
Gyrocopter
Gyrocopter
366 picks · 594 bans
54%
Phoenix
Phoenix
363 picks · 403 bans
51%
Pangolier
Pangolier
357 picks · 584 bans
45%
Beastmaster
Beastmaster
340 picks · 858 bans
52%
Prediction components
Form (series winrate)38% vs 20%
Hero pool strength50% Wolf Warriors
Head-to-head1 – 0
Model total68% Wolf Warriors
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 correct46:15
Wolf Warriors 68%CriTicS Esports 32%
The model gave 68% on Wolf Warriors — the game was taken by Wolf Warriors in 30:50.
Game 2prediction correct54:27
Wolf Warriors 68%CriTicS Esports 32%
The model gave 68% on Wolf Warriors — the game was taken by Wolf Warriors in 31:42.
Model check result
Model favoriteWolf Warriors · 68%
Series resultWolf Warriors 2:0
Series predictioncorrect
Accuracy by game2 of 2