Pinhalnovense vs Sacavenense: result 3-1 and analysis
Campeonato de Portugal Prio - Group DGroup D - 9Kick-off on November 3, 2019 at 03:00 PM (UTC)Campo Santos Jorge, Pinhal Novo
Full time
What was the result of Pinhalnovense vs Sacavenense?
Pinhalnovense won 3-1 on November 3, 2019.
Goalscorers
- 16′142751Pinhalnovense
- 36′ÉlsinhoSacavenense
- 79′Yuran FernandesPinhalnovense (pen.)
- 90′142751Pinhalnovense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pinhalnovense have 6 wins, 4 draws and 5 defeats; Sacavenense have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Alverca(away) | 2-1 | Campeonato de Portugal Prio - Group D |
| Oct 13, 2019 | Sintra(home) | 0-0 | Campeonato de Portugal Prio - Group D |
| Oct 5, 2019 | Lagos(away) | 0-2 | Campeonato de Portugal Prio - Group D |
| Sep 29, 2019 | Estoril(home) | 1-2 | Taça de Portugal |
| Sep 22, 2019 | Olímpico do Montijo(home) | 3-2 | Campeonato de Portugal Prio - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 15, 2019 | Lusitano GC Évora(home) | 1-0 | Campeonato de Portugal Prio - Group D |
How many goals should we expect?
Pinhalnovense score 1.7 and concede 1.3 goals per match over their last 15; Sacavenense score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pinhalnovense | 1.7 | 1.3 | 5 | 8/15 | 10/15 |
| Sacavenense | 0.9 | 1.3 | 4 | 6/15 | 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