Pedras Salgadas vs U. Madeira: result 2-3 and analysis
Campeonato de Portugal Prio - Group AGroup A - 5Kick-off on September 21, 2019 at 03:00 PM (UTC)Estádio da Portelinha, Pedras Salgadas
Full time
What was the result of Pedras Salgadas vs U. Madeira?
U. Madeira won 2-3 on September 21, 2019.
Goalscorers
- 43′Diogo Vaz Vieira LopesPedras Salgadas
- 53′Cristiano VasconcelosU. Madeira
- 69′AssisPedras Salgadas
- 77′A. SyllaU. Madeira (pen.)
- 85′VieirinhaU. Madeira
What is the recent form of both teams?
Over their last 12 matches in all competitions, Pedras Salgadas have 5 wins, 1 draws and 6 defeats; U. Madeira have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 18, 2019 | Guimaraes B(home) | 0-3 | Campeonato de Portugal Prio - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Mirandela(home) | 1-0 | Campeonato de Portugal Prio - Group A |
| Sep 8, 2019 | Vila Real(home) | 1-0 | Taça de Portugal |
| Sep 1, 2019 | AR São Martinho(away) | 0-4 | Campeonato de Portugal Prio - Group A |
| Aug 25, 2019 | Merelinense(home) | 1-1 | Campeonato de Portugal Prio - Group A |
| Nov 25, 2018 | Guimaraes(home) | 0-2 | Taça de Portugal |
How many goals should we expect?
Pedras Salgadas score 1.4 and concede 2.3 goals per match over their last 12; U. Madeira score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pedras Salgadas | 1.4 | 2.3 | 3 | 8/12 | 9/12 |
| U. Madeira | 1.5 | 1.3 | 5 | 8/15 | 9/15 |
Over the last 12 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