Maria da Fonte vs Pedras Salgadas: result 1-5 and analysis
Taça de Portugal2nd RoundKick-off on September 29, 2019 at 02:00 PM (UTC)Estádio Moinhos Novos, Póvoa de Lanhoso
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What was the result of Maria da Fonte vs Pedras Salgadas?
Pedras Salgadas won 1-5 on September 29, 2019.
Goalscorers
- 10′?Pedras Salgadas
- 30′RucaPedras Salgadas (pen.)
- 41′RucaPedras Salgadas (pen.)
- 45′96587Maria da Fonte
- 72′RucaPedras Salgadas (pen.)
- 90′Hélder Nuno Almeida Pereira Mota LopesPedras Salgadas
What is the recent form of both teams?
Over their last 13 matches in all competitions, Maria da Fonte have 5 wins, 5 draws and 3 defeats; Pedras Salgadas have 5, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Oliveirense(home) | 4-1 | Campeonato de Portugal Prio - Group A |
| Sep 15, 2019 | Berço(away) | 1-1 | Campeonato de Portugal Prio - Group A |
| Sep 8, 2019 | Bragança(home) | 3-0 | Taça de Portugal |
| Sep 1, 2019 | Guimaraes B(home) | 0-0 | Campeonato de Portugal Prio - Group A |
| Aug 25, 2019 | Chaves II(away) | 4-2 | Campeonato de Portugal Prio - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | U. Madeira(home) | 2-3 | Campeonato de Portugal Prio - Group A |
| Sep 15, 2019 | Chaves II(away) | 2-2 | Campeonato de Portugal Prio - Group A |
| Sep 8, 2019 | Vila Pouca(home) | 3-1 | Taça de Portugal |
| Sep 1, 2019 | Vizela(home) | 1-4 | Campeonato de Portugal Prio - Group A |
| Aug 25, 2019 | Fafe(away) | 1-3 | Campeonato de Portugal Prio - Group A |
How many goals should we expect?
Maria da Fonte score 2.3 and concede 1.5 goals per match over their last 13; Pedras Salgadas score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Maria da Fonte | 2.3 | 1.5 | 4 | 8/13 | 10/13 |
| Pedras Salgadas | 1.5 | 2.3 | 3 | 9/13 | 10/13 |
Over the last 13 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