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ESL One Stockholm Dota Major 2022 · BO2
result vs prediction
OGwin 2:0
series probability
39%61%
probability at match start · final 2:0
BETBOOM TEAMloss 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.

OG

Mars
Marsoften banned
ATF · 18 games
44%
Bane
Banesignature
Misha · 13 games
62%
Razor
Razorsignature
Yuragi · 13 games
62%
Kunkka
Kunkkaoften banned
bzm · 12 games
58%
Snapfire
Snapfire
Taiga · 11 games
55%
Templar Assassin
Templar Assassinsignature
Yuragi · 11 games
73%
Shadow Demon
Shadow Demonsignature
Misha · 10 games
60%
Timbersaw
Timbersawsignature
ATF · 10 games
70%

BETBOOM TEAM

Bane
Bane
Bignum · 12 games
58%
Disruptor
Disruptor
CeMaTheSlayeR · 12 games
42%
Queen of Pain
Queen of Painsignature
fn · 11 games
82%
Wraith King
Wraith Kingoften banned
7jesu · 11 games
45%
Death Prophet
Death Prophetoften banned
CeMaTheSlayeR · 9 games
56%
Hoodwink
Hoodwink
CeMaTheSlayeR · 9 games
56%
Luna
Lunasignature
7jesu · 9 games
67%
Kunkka
Kunkkasignature
fn · 8 games
75%
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.
Mars
Mars
469 picks · 628 bans
50%
Bane
Bane
449 picks · 292 bans
57%
Tiny
Tiny
436 picks · 489 bans
50%
Sand King
Sand King
397 picks · 527 bans
54%
Death Prophet
Death Prophet
361 picks · 785 bans
55%
Ember Spirit
Ember Spirit
344 picks · 552 bans
49%
Storm Spirit
Storm Spirit
344 picks · 541 bans
55%
Pangolier
Pangolier
331 picks · 503 bans
53%
Prediction components
Form (series winrate)57% vs 69%
Hero pool strength50% BETBOOM TEAM
Head-to-head0 – 0
Model total61% BETBOOM TEAM
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 missed33:23
OG 39%BETBOOM TEAM 61%
The model gave 61% on BETBOOM TEAM — the game was taken by OG in 42:37.
Game 2prediction missed46:29
OG 39%BETBOOM TEAM 61%
The model gave 61% on BETBOOM TEAM — the game was taken by OG in 44:42.
Model check result
Model favoriteBETBOOM TEAM · 61%
Series resultOG 2:0
Series predictionmissed
Accuracy by game0 of 2