Sacavenense vs Fabril Barreiro: result 1-0 and analysis
Campeonato de Portugal Prio - Group DGroup D - 6Kick-off on October 5, 2019 at 02:00 PM (UTC)Complexo Desportivo Elias Pereira Campo 1, Sacavém
Full time
What was the result of Sacavenense vs Fabril Barreiro?
Sacavenense won 1-0 on October 5, 2019.
Goalscorers
- 21′ÉlsinhoSacavenense
What is the recent form of both teams?
Over their last 13 matches in all competitions, Sacavenense have 6 wins, 1 draws and 6 defeats; Fabril Barreiro have 2, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 25, 2019 | Alverca(away) | 0-1 | Campeonato de Portugal Prio - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2019 | Penedo Gordo(away) | 1-0 | Taça de Portugal |
| Sep 22, 2019 | Lusitano GC Évora(home) | 3-1 | Campeonato de Portugal Prio - Group D |
| Sep 15, 2019 | Alverca(away) | 1-7 | Campeonato de Portugal Prio - Group D |
| Sep 8, 2019 | Praiense(away) | 0-4 | Taça de Portugal |
| Sep 1, 2019 | Louletano(home) | 0-1 | Campeonato de Portugal Prio - Group D |
How many goals should we expect?
Sacavenense score 1.2 and concede 1.2 goals per match over their last 13; Fabril Barreiro score 1.0 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sacavenense | 1.2 | 1.2 | 4 | 5/13 | 7/13 |
| Fabril Barreiro | 1.0 | 2.4 | 2 | 3/9 | 5/9 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Fabril Barreiro | 26 | 6 | 9 | 11 | 21 | 32 | 27 |
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