Parana vs Vasco DA Gama: result 0-1 and analysis
Serie BRegular Season - 32Kick-off on October 22, 2016 at 06:30 PM (UTC)Estádio Durival de Britto e Silva, Curitiba, Paraná
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What was the result of Parana vs Vasco DA Gama?
Vasco DA Gama won 0-1 on October 22, 2016.
Goalscorers
- 65′Thalles Lima de Conceição PenhaVasco DA Gama
What is the recent form of both teams?
Over their last 15 matches in all competitions, Parana have 3 wins, 2 draws and 10 defeats; Vasco DA Gama have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | Joinville(away) | 0-1 | Serie B |
| Oct 9, 2016 | CRB(home) | 5-3 | Serie B |
| Oct 5, 2016 | Luverdense(away) | 2-3 | Serie B |
| Sep 30, 2016 | Goias(away) | 0-4 | Serie B |
| Sep 24, 2016 | Nautico Recife(home) | 1-2 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | CRB(home) | 1-2 | Serie B |
| Oct 8, 2016 | Londrina(home) | 1-0 | Serie B |
| Oct 5, 2016 | Paysandu(away) | 1-3 | Serie B |
| Oct 1, 2016 | Nautico Recife(away) | 1-3 | Serie B |
| Sep 24, 2016 | Atletico Goianiense(home) | 2-0 | Serie B |
What does the head-to-head say?
Across the last 3 meetings: 1 Parana win(s), 1 draw(s), 1 Vasco DA Gama win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 28, 2016 | Vasco DA Gama 1-2 Parana | Serie B |
| Oct 31, 2014 | Parana 1-1 Vasco DA Gama | Serie B |
| Aug 2, 2014 | Vasco DA Gama 1-0 Parana | Serie B |
Last archived meeting: Vasco DA Gama vs Parana on Jun 28, 2016
How many goals should we expect?
Parana score 1.2 and concede 2.1 goals per match over their last 15; Vasco DA Gama score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Parana | 1.2 | 2.1 | 1 | 8/15 | 9/15 |
| Vasco DA Gama | 1.3 | 1.5 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy