Parana vs Luverdense: result 1-2 and analysis
Serie BRegular Season - 10Kick-off on June 18, 2016 at 12:00 AM (UTC)Estádio Durival de Britto e Silva, Curitiba, Paraná
Full time
What was the result of Parana vs Luverdense?
Luverdense won 1-2 on June 18, 2016.
Goalscorers
- 28′Murilo RangelParana
- 53′AirtonLuverdense
- 55′Hugo CabralLuverdense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Parana have 5 wins, 6 draws and 4 defeats; Luverdense have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2016 | Goias(home) | 2-0 | Serie B |
| Jun 11, 2016 | Nautico Recife(away) | 1-5 | Serie B |
| Jun 7, 2016 | Atletico Goianiense(home) | 0-0 | Serie B |
| Jun 3, 2016 | Vila Nova(away) | 0-0 | Serie B |
| May 31, 2016 | Londrina(away) | 1-1 | Serie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2016 | Tupi(away) | 0-0 | Serie B |
| Jun 12, 2016 | Ceara(home) | 2-0 | Serie B |
| Jun 8, 2016 | Vila Nova(home) | 0-2 | Serie B |
| Jun 3, 2016 | Brasil DE Pelotas(away) | 1-1 | Serie B |
| Jun 1, 2016 | Atletico Goianiense(home) | 3-2 | Serie B |
What does the head-to-head say?
Across the last 4 meetings: 2 Parana win(s), 0 draw(s), 2 Luverdense win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2015 | Luverdense 2-0 Parana | Serie B |
| Jun 9, 2015 | Parana 1-0 Luverdense | Serie B |
| Oct 12, 2014 | Luverdense 0-2 Parana | Serie B |
| Jun 6, 2014 | Parana 0-2 Luverdense | Serie B |
How many goals should we expect?
Parana score 0.9 and concede 1.1 goals per match over their last 15; Luverdense score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Parana | 0.9 | 1.1 | 5 | 7/15 | 4/15 |
| Luverdense | 1.1 | 1.1 | 5 | 6/15 | 4/15 |
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