?
CCT Season 2 Series 2 · BO3
result vs prediction
Wildcard Gamingloss 0:2
series probability
74%26%
probability at match start · final 0:2
TNL DOTAwin 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.

Wildcard Gaming

Tiny
Tinyoften banned
RCY · 27 games
37%
Magnus
Magnussignature
Fayde · 25 games
64%
Pangolier
Pangolieroften banned
RCY · 25 games
48%
Batrider
Batrideroften banned
Bignum · 24 games
58%
Chen
Chensignature
Speeed · 21 game
86%
Muerta
Muerta
Bignum · 21 game
48%
Puck
Pucksignature
RCY · 21 game
67%
Tusk
Tusk
Bignum · 19 games
53%

TNL DOTA

Dark Willow
Dark Willowsignature
Fernans · 13 games
62%
Kunkka
Kunkkaoften banned
dualrazee · 10 games
50%
Shadow Fiend
Shadow Fiendoften banned
dualrazee · 10 games
50%
Tusk
Tusk
Fernans · 10 games
20%
Pangolier
Pangoliersignature
Norma · 9 games
78%
Naga Siren
Naga Sirensignature
flacko · 7 games
100%
Nature's Prophet
Nature's Prophetoften banned
yowaai · 6 games
17%
Templar Assassin
Templar Assassinoften banned
yowaai · 6 games
50%
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.
Tiny
Tiny
506 picks · 540 bans
49%
Shadow Shaman
Shadow Shaman
448 picks · 494 bans
56%
Ringmaster
Ringmaster
433 picks · 229 bans
52%
Jakiro
Jakiro
387 picks · 287 bans
46%
Tusk
Tusk
375 picks · 360 bans
48%
Terrorblade
Terrorblade
366 picks · 807 bans
48%
Storm Spirit
Storm Spirit
356 picks · 515 bans
49%
Pangolier
Pangolier
353 picks · 525 bans
49%
Prediction components
Form (series winrate)54% vs 52%
Hero pool strength50% TNL DOTA
Head-to-head0 – 0
Model total74% Wildcard Gaming
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 missed
Wildcard Gaming 74%TNL DOTA 26%
The model gave 74% on Wildcard Gaming — the game was taken by TNL DOTA.
Game 2prediction missed
Wildcard Gaming 74%TNL DOTA 26%
The model gave 74% on Wildcard Gaming — the game was taken by TNL DOTA.
Model check result
Model favoriteWildcard Gaming · 74%
Series resultTNL DOTA 0:2
Series predictionmissed
Accuracy by game0 of 2