Sacavenense vs Armacenenses: result 0-2 and analysis
Campeonato de Portugal Prio - Group DGroup D - 10Kick-off on November 10, 2019 at 03:00 PM (UTC)Complexo Desportivo Elias Pereira Campo 1, Sacavém
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What was the result of Sacavenense vs Armacenenses?
Armacenenses won 0-2 on November 10, 2019.
Goalscorers
- 36′João SilvaArmacenenses
- 61′Hugo Miguel Carambola MeiraArmacenenses
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sacavenense have 6 wins, 1 draws and 8 defeats; Armacenenses have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Pinhalnovense(away) | 1-3 | Campeonato de Portugal Prio - Group D |
| Oct 27, 2019 | Loures(home) | 0-2 | Campeonato de Portugal Prio - Group D |
| Oct 13, 2019 | Amora(away) | 1-2 | Campeonato de Portugal Prio - Group D |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Olímpico do Montijo(home) | 0-2 | Campeonato de Portugal Prio - Group D |
| Oct 27, 2019 | Sintra(away) | 1-1 | Campeonato de Portugal Prio - Group D |
| Oct 13, 2019 | Louletano(home) | 3-1 | Campeonato de Portugal Prio - Group D |
| Oct 5, 2019 | Aljustrelense(away) | 2-1 | Campeonato de Portugal Prio - Group D |
| Sep 22, 2019 | Real(home) | 1-2 | Campeonato de Portugal Prio - Group D |
How many goals should we expect?
Sacavenense score 1.0 and concede 1.4 goals per match over their last 15; Armacenenses score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sacavenense | 1.0 | 1.4 | 4 | 7/15 | 8/15 |
| Armacenenses | 1.5 | 1.8 | 1 | 11/15 | 11/15 |
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