Amora vs Sacavenense: result 2-1 and analysis
Campeonato de Portugal Prio - Group DGroup D - 7Kick-off on October 13, 2019 at 02:00 PM (UTC)Estádio da Medideira, Amora
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What was the result of Amora vs Sacavenense?
Amora won 2-1 on October 13, 2019.
Goalscorers
- 15′GeraldoAmora
- 62′141596Sacavenense
- 78′Joca MonteiroAmora (pen.)
What is the recent form of both teams?
Over their last 14 matches in all competitions, Amora have 5 wins, 4 draws and 5 defeats; Sacavenense have 7, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Lusitano GC Évora(away) | 2-2 | Campeonato de Portugal Prio - Group D |
| Sep 29, 2019 | São João Ver(home) | 2-1 | Taça de Portugal |
| Sep 22, 2019 | Aljustrelense(home) | 1-1 | Campeonato de Portugal Prio - Group D |
| Sep 15, 2019 | Sintra(away) | 1-1 | Campeonato de Portugal Prio - Group D |
| Sep 7, 2019 | Lusitânia(away) | 2-1 | Taça de Portugal |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Fabril Barreiro(home) | 1-0 | Campeonato de Portugal Prio - Group D |
| Sep 22, 2019 | 1º Dezembro(away) | 1-2 | Campeonato de Portugal Prio - Group D |
| Sep 15, 2019 | Lusitano GC Évora(home) | 1-0 | Campeonato de Portugal Prio - Group D |
| Sep 8, 2019 | Alverca(away) | 0-3 | Taça de Portugal |
| Sep 1, 2019 | Sintra(home) | 2-2 | Campeonato de Portugal Prio - Group D |
How many goals should we expect?
Amora score 1.9 and concede 1.4 goals per match over their last 14; Sacavenense score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amora | 1.9 | 1.4 | 3 | 8/14 | 8/14 |
| Sacavenense | 1.2 | 1.1 | 5 | 5/14 | 7/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Amora | 26 | 17 | 6 | 3 | 41 | 19 | 57 |
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