Ginásio Figueirense vs Lusitano FCV: result 0-4 and analysis
Campeonato de Portugal Prio - Group BGroup B - 17Kick-off on January 12, 2020 at 03:00 PM (UTC)Estádio Municipal de Figueira de Castelo Rodrigo, Figueira de Castelo Rodrigo
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What was the result of Ginásio Figueirense vs Lusitano FCV?
Lusitano FCV won 0-4 on January 12, 2020.
Goalscorers
- 2′Miguel LopesLusitano FCV
- 24′Mamadou SambagueLusitano FCV
- 63′Miguel LopesLusitano FCV
- 73′Diogo BrazLusitano FCV
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ginásio Figueirense have 2 wins, 2 draws and 11 defeats; Lusitano FCV have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2020 | Vila Real(away) | 0-3 | Campeonato de Portugal Prio - Group B |
| Dec 22, 2019 | Leça(home) | 0-4 | Campeonato de Portugal Prio - Group B |
| Dec 15, 2019 | Paredes(home) | 0-3 | Campeonato de Portugal Prio - Group B |
| Dec 8, 2019 | Sanjoanense(away) | 0-2 | Campeonato de Portugal Prio - Group B |
| Dec 1, 2019 | Gondomar(home) | 0-4 | Campeonato de Portugal Prio - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2020 | Pedras Rubras(home) | 0-2 | Campeonato de Portugal Prio - Group B |
| Dec 22, 2019 | Gondomar(away) | 3-1 | Campeonato de Portugal Prio - Group B |
| Dec 15, 2019 | Arouca(home) | 0-1 | Campeonato de Portugal Prio - Group B |
| Dec 8, 2019 | Paredes(away) | 0-1 | Campeonato de Portugal Prio - Group B |
| Dec 1, 2019 | Amarante(home) | 2-2 | Campeonato de Portugal Prio - Group B |
How many goals should we expect?
Ginásio Figueirense score 0.6 and concede 2.3 goals per match over their last 15; Lusitano FCV score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ginásio Figueirense | 0.6 | 2.3 | 2 | 5/15 | 9/15 |
| Lusitano FCV | 1.3 | 1.3 | 3 | 6/15 | 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