Merelinense vs Câmara de Lobos: result 3-0 and analysis
Campeonato de Portugal Prio - Group AGroup A - 7Kick-off on October 13, 2019 at 02:00 PM (UTC)Estádio João Soares Vieira, São Pedro de Merelim
Full time
What was the result of Merelinense vs Câmara de Lobos?
Merelinense won 3-0 on October 13, 2019.
Goalscorers
- 44′Nelson Miguel Martins PedrosoMerelinense
- 60′Fábio PimentaMerelinense
- 75′Fábio PimentaMerelinense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Merelinense have 7 wins, 5 draws and 3 defeats; Câmara de Lobos have 1, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | AR São Martinho(away) | 1-3 | Campeonato de Portugal Prio - Group A |
| Sep 29, 2019 | AR São Martinho(away) | 0-0 | Taça de Portugal |
| Sep 22, 2019 | Chaves II(home) | 1-0 | Campeonato de Portugal Prio - Group A |
| Sep 15, 2019 | Bragança(away) | 2-2 | Campeonato de Portugal Prio - Group A |
| Sep 8, 2019 | Ponte da Barca(home) | 0-0 | Taça de Portugal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Montalegre(home) | 2-2 | Campeonato de Portugal Prio - Group A |
| Sep 22, 2019 | Mirandela(away) | 1-4 | Campeonato de Portugal Prio - Group A |
| Sep 15, 2019 | AR São Martinho(home) | 0-2 | Campeonato de Portugal Prio - Group A |
| Sep 7, 2019 | Felgueiras 1932(home) | 0-4 | Taça de Portugal |
| Sep 1, 2019 | Bragança(home) | 0-1 | Campeonato de Portugal Prio - Group A |
How many goals should we expect?
Merelinense score 1.7 and concede 1.5 goals per match over their last 15; Câmara de Lobos score 0.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Merelinense | 1.7 | 1.5 | 4 | 10/15 | 10/15 |
| Câmara de Lobos | 0.7 | 2.3 | 0 | 3/7 | 4/7 |
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