AR São Martinho vs Pedras Salgadas: result 1-1 and analysis
Campeonato de Portugal Prio - Group AGroup A - 12Kick-off on December 1, 2019 at 03:00 PM (UTC)Estádio Comendador Abílio Ferreira de Oliveira, São Martinho do Campo - Santo Tirso
Full time
What was the result of AR São Martinho vs Pedras Salgadas?
AR São Martinho and Pedras Salgadas drew 1-1 on December 1, 2019.
Goalscorers
- 53′AssisPedras Salgadas
- 65′Ricardo PintoAR São Martinho
What is the recent form of both teams?
Over their last 15 matches in all competitions, AR São Martinho have 6 wins, 3 draws and 6 defeats; Pedras Salgadas have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Vizela(away) | 0-0 | Campeonato de Portugal Prio - Group A |
| Nov 10, 2019 | SC Braga B(home) | 2-4 | Campeonato de Portugal Prio - Group A |
| Nov 3, 2019 | Marítimo II(away) | 0-1 | Campeonato de Portugal Prio - Group A |
| Oct 27, 2019 | Mirandela(home) | 1-2 | Campeonato de Portugal Prio - Group A |
| Oct 13, 2019 | Maria da Fonte(away) | 2-0 | Campeonato de Portugal Prio - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Canelas 2010(home) | 0-0 | Taça de Portugal |
| Nov 17, 2019 | Montalegre(home) | 1-0 | Campeonato de Portugal Prio - Group A |
| Nov 10, 2019 | Merelinense(away) | 0-3 | Campeonato de Portugal Prio - Group A |
| 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 |
How many goals should we expect?
AR São Martinho score 1.3 and concede 0.9 goals per match over their last 15; Pedras Salgadas score 1.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AR São Martinho | 1.3 | 0.9 | 7 | 4/15 | 6/15 |
| Pedras Salgadas | 1.2 | 1.5 | 6 | 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