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Dota Pro Circuit 2023: Season 3. Южная Америка. Закрытые отборочные · BO3
result vs prediction
Pacific esportsloss 0:2
series probability
50%50%
probability at match start · final 0:2
chandogswin 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.

Pacific esports

No games played over 6 months.

chandogs

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.
Rubick
Rubick
709 picks · 600 bans
48%
Disruptor
Disruptor
553 picks · 489 bans
54%
Beastmaster
Beastmaster
442 picks · 1075 bans
57%
Doom
Doom
427 picks · 747 bans
55%
Ember Spirit
Ember Spirit
406 picks · 1009 bans
52%
Tiny
Tiny
380 picks · 363 bans
53%
Mirana
Mirana
374 picks · 202 bans
57%
Pangolier
Pangolier
374 picks · 821 bans
53%
Prediction components
Form (series winrate)55% vs 64%
Hero pool strength50% Pacific esports
Head-to-head1 – 0
Model total50% Pacific esports
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 missed16:35
Pacific esports 50%chandogs 50%
The model gave 50% on Pacific esports — the game was taken by chandogs in 31:51.
Game 2prediction missed28:31
Pacific esports 50%chandogs 50%
The model gave 50% on Pacific esports — the game was taken by chandogs in 50:22.
Model check result
Model favoritePacific esports · 50%
Series resultchandogs 0:2
Series predictionmissed
Accuracy by game0 of 2