Amora vs Pinhalnovense: result 0-1 and analysis
Campeonato de Portugal Prio - Group DGroup D - 10Kick-off on November 10, 2019 at 11:00 AM (UTC)Estádio da Medideira, Amora
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What was the result of Amora vs Pinhalnovense?
Pinhalnovense won 0-1 on November 10, 2019.
Goalscorers
- 60′142751Pinhalnovense
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amora have 7 wins, 4 draws and 4 defeats; Pinhalnovense 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 |
|---|---|---|---|
| Nov 3, 2019 | 1º Dezembro(away) | 1-0 | Campeonato de Portugal Prio - Group D |
| Oct 26, 2019 | Fabril Barreiro(away) | 3-2 | Campeonato de Portugal Prio - Group D |
| Oct 19, 2019 | Sanjoanense(home) | 0-1 | Taça de Portugal |
| Oct 13, 2019 | Sacavenense(home) | 2-1 | Campeonato de Portugal Prio - Group D |
| Oct 5, 2019 | Lusitano GC Évora(away) | 2-2 | Campeonato de Portugal Prio - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Sacavenense(home) | 3-1 | Campeonato de Portugal Prio - Group D |
| 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 |
How many goals should we expect?
Amora score 1.9 and concede 1.3 goals per match over their last 15; Pinhalnovense score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amora | 1.9 | 1.3 | 3 | 9/15 | 8/15 |
| Pinhalnovense | 1.9 | 1.3 | 5 | 9/15 | 11/15 |
Over the last 15 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