Luverdense vs Vasco DA Gama: result 1-1 and analysis
Serie BRegular Season - 16Kick-off on July 16, 2016 at 09:30 PM (UTC)Estádio Municipal Passo Das Emas, Lucas do Rio Verde, Mato Grosso
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What was the result of Luverdense vs Vasco DA Gama?
Luverdense and Vasco DA Gama drew 1-1 on July 16, 2016.
Goalscorers
- 60′Yago PikachuVasco DA Gama
- 90′AlfredoLuverdense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luverdense have 5 wins, 6 draws and 4 defeats; Vasco DA Gama have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2016 | Criciuma(away) | 2-2 | Serie B |
| Jul 2, 2016 | Oeste(home) | 0-1 | Serie B |
| Jun 28, 2016 | Nautico Recife(away) | 0-1 | Serie B |
| Jun 25, 2016 | Londrina(home) | 2-1 | Serie B |
| Jun 22, 2016 | Sampaio Correa(home) | 0-0 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 14, 2016 | Santa Cruz(home) | 1-1 | Copa Do Brasil |
| Jul 9, 2016 | Brasil DE Pelotas(home) | 2-0 | Serie B |
| Jul 2, 2016 | Avai(away) | 1-2 | Serie B |
| Jun 28, 2016 | Parana(home) | 1-2 | Serie B |
| Jun 25, 2016 | CRB(away) | 2-1 | Serie B |
What does the head-to-head say?
Across the last 2 meetings: 1 Luverdense win(s), 0 draw(s), 1 Vasco DA Gama win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2014 | Vasco DA Gama 2-0 Luverdense | Serie B |
| Apr 26, 2014 | Luverdense 2-1 Vasco DA Gama | Serie B |
Last archived meeting: Vasco DA Gama vs Luverdense on Sep 9, 2014
How many goals should we expect?
Luverdense score 1.1 and concede 1.0 goals per match over their last 15; Vasco DA Gama score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luverdense | 1.1 | 1.0 | 4 | 8/15 | 5/15 |
| Vasco DA Gama | 1.5 | 1.1 | 6 | 8/15 | 6/15 |
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