Merelinense vs Pedras Salgadas: result 3-0 and analysis
Campeonato de Portugal Prio - Group AGroup A - 10Kick-off on November 10, 2019 at 03:00 PM (UTC)Estádio João Soares Vieira, São Pedro de Merelim
Full time
What was the result of Merelinense vs Pedras Salgadas?
Merelinense won 3-0 on November 10, 2019.
Goalscorers
- 7′Sérgio DuarteMerelinense
- 41′Fábio PimentaMerelinense
- 64′Eduardo Luís Vieira FerrazMerelinense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Merelinense have 7 wins, 4 draws and 4 defeats; Pedras Salgadas have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Mirandela(away) | 1-0 | Campeonato de Portugal Prio - Group A |
| Oct 27, 2019 | Montalegre(away) | 4-3 | Campeonato de Portugal Prio - Group A |
| Oct 20, 2019 | Arouca(away) | 0-1 | Taça de Portugal |
| Oct 13, 2019 | Câmara de Lobos(home) | 3-0 | Campeonato de Portugal Prio - Group A |
| Oct 5, 2019 | AR São Martinho(away) | 1-3 | Campeonato de Portugal Prio - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Câmara de Lobos(home) | 0-0 | Campeonato de Portugal Prio - Group A |
| Oct 27, 2019 | Cerveira(away) | 1-0 | Campeonato de Portugal Prio - Group A |
| Oct 20, 2019 | Águeda(home) | 1-0 | Taça de Portugal |
| Oct 13, 2019 | Bragança(home) | 1-0 | Campeonato de Portugal Prio - Group A |
| Oct 5, 2019 | Oliveirense(away) | 0-2 | Campeonato de Portugal Prio - Group A |
How many goals should we expect?
Merelinense score 1.5 and concede 1.3 goals per match over their last 15; Pedras Salgadas score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Merelinense | 1.5 | 1.3 | 5 | 8/15 | 9/15 |
| Pedras Salgadas | 1.5 | 1.7 | 5 | 8/15 | 9/15 |
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