Mirandela vs Pedras Salgadas: result 3-2 and analysis
Campeonato de Portugal Prio - Group AGroup A - 14Kick-off on December 15, 2019 at 03:00 PM (UTC)Estádio São Sebastião, Mirandela
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What was the result of Mirandela vs Pedras Salgadas?
Mirandela won 3-2 on December 15, 2019.
Goalscorers
- 7′141634Mirandela
- 49′André SousaPedras Salgadas
- 65′RafaPedras Salgadas
- 75′José Pedro da Silva Vieira dos SantosMirandela (o.g.)
- 90′César AntunesMirandela
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mirandela have 5 wins, 2 draws and 8 defeats; Pedras Salgadas have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Fafe(away) | 0-2 | Campeonato de Portugal Prio - Group A |
| Dec 1, 2019 | Marítimo II(home) | 1-1 | Campeonato de Portugal Prio - Group A |
| Nov 17, 2019 | SC Braga B(away) | 0-1 | Campeonato de Portugal Prio - Group A |
| Nov 10, 2019 | Maria da Fonte(home) | 0-1 | Campeonato de Portugal Prio - Group A |
| Nov 3, 2019 | Merelinense(home) | 0-1 | Campeonato de Portugal Prio - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2019 | Marítimo II(home) | 2-1 | Campeonato de Portugal Prio - Group A |
| Dec 1, 2019 | AR São Martinho(away) | 1-1 | Campeonato de Portugal Prio - Group A |
| 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 |
How many goals should we expect?
Mirandela score 0.9 and concede 1.1 goals per match over their last 15; Pedras Salgadas score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mirandela | 0.9 | 1.1 | 4 | 5/15 | 4/15 |
| Pedras Salgadas | 1.3 | 1.2 | 6 | 7/15 | 7/15 |
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