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Winline Dota 2 Champions League Season 10 · BO3
result vs prediction
Rune Eatersloss 1:2
series probability
64%36%
probability at match start · final 1:2
No Sorrywin 2:1
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.

Rune Eaters

Mars
Marsoften banned
Cloud · 6 games
50%
Tiny
Tinysignature
TA2000 · 6 games
67%
Keeper of the Light
Keeper of the Lightoften banned
ArrOw · 5 games
40%
Mirana
Mirana
ArrOw · 5 games
60%
Storm Spirit
Storm Spiritoften banned
hAze · 5 games
60%
Dragon Knight
Dragon Knightoften banned
Cloud · 4 games
25%
Sand King
Sand Kingoften banned
Cloud · 4 games
75%
Kunkka
Kunkkaoften banned
TA2000 · 3 games
33%

No Sorry

Tiny
Tinyoften banned
layme · 18 games
44%
Hoodwink
Hoodwink
y0nd · 17 games
41%
Bane
Bane
BLACKARXANGEL · 16 games
50%
Ember Spirit
Ember Spiritsignature
Worick · 16 games
63%
Skywrath Mage
Skywrath Mage
y0nd · 16 games
50%
Mars
Marsoften banned
LastHero- · 15 games
40%
Keeper of the Light
Keeper of the Lightoften banned
BLACKARXANGEL · 14 games
43%
Storm Spirit
Storm Spiritsignature
Worick · 10 games
60%
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
Bane
456 picks · 279 bans
57%
Mars
Mars
440 picks · 598 bans
52%
Tiny
Tiny
404 picks · 471 bans
52%
Sand King
Sand King
357 picks · 482 bans
54%
Death Prophet
Death Prophet
354 picks · 769 bans
54%
Ember Spirit
Ember Spirit
335 picks · 505 bans
50%
Storm Spirit
Storm Spirit
312 picks · 465 bans
55%
Pangolier
Pangolier
307 picks · 451 bans
52%
Prediction components
Form (series winrate)58% vs 52%
Hero pool strength51% Rune Eaters
Head-to-head0 – 0
Model total64% Rune Eaters
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 missed24:36
Rune Eaters 64%No Sorry 36%
The model gave 64% on Rune Eaters — the game was taken by No Sorry in 44:57.
Game 2prediction missed31:39
Rune Eaters 64%No Sorry 36%
The model gave 64% on Rune Eaters — the game was taken by No Sorry in 42:45.
Game 3prediction missed25:8
Rune Eaters 64%No Sorry 36%
The model gave 64% on Rune Eaters — the game was taken by No Sorry in 25:17.
Model check result
Model favoriteRune Eaters · 64%
Series resultNo Sorry 1:2
Series predictionmissed
Accuracy by game0 of 3