Winline Dota 2 Champions League Season 8 · BO3
result vs prediction
Virtus.prowin 2:0series probability
40%60%
probability at match start · final 2:0
Entityloss 0:2The 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.
Virtus.pro
Queen of Painoften banned
gpK~ · 13 games
Banesignature
Save- · 12 games
Earthshaker
DM · 8 games
Iosignature
1ls · 8 games
Storm Spiritsignature
gpK~ · 8 games
Abaddonsignature
1ls · 7 games
Beastmastersignature
DM · 7 games
Kunkkaoften banned
Pure~ · 7 games
Entity
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.
Bane
450 picks · 271 bans
Mars
378 picks · 521 bans
Queen of Pain
369 picks · 500 bans
Weaver
350 picks · 474 bans
Death Prophet
288 picks · 454 bans
Kunkka
285 picks · 504 bans
Grimstroke
264 picks · 186 bans
Ember Spirit
263 picks · 318 bans
Prediction components
Form (series winrate)67% vs 73%
Hero pool strength59% Virtus.pro
Head-to-head0 – 0
Model total60% Entity
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 missed22:4
Virtus.pro 40%Entity 60%
The model gave 60% on Entity — the game was taken by Virtus.pro in 17:54.
Game 2prediction missed23:27
Virtus.pro 40%Entity 60%
The model gave 60% on Entity — the game was taken by Virtus.pro in 36:30.
Model check result
Model favoriteEntity · 60%
Series resultVirtus.pro 2:0
Series predictionmissed
Accuracy by game0 of 2