Olympique St Quentin vs Furiani-Agliani: result 0-1 and analysis
National 2 - Group BGroup B - 6Kick-off on October 1, 2022 at 12:30 PM (UTC)Stade Paul Debrésie, Saint-Quentin
Full time
What was the result of Olympique St Quentin vs Furiani-Agliani?
Furiani-Agliani won 0-1 on October 1, 2022.
Goalscorers
- 11′S. NoualaFuriani-Agliani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Olympique St Quentin have 3 wins, 7 draws and 5 defeats; Furiani-Agliani have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2022 | Sainte Geneviève(away) | 2-1 | National 2 - Group B |
| Sep 10, 2022 | St Maur Lusitanos(home) | 0-0 | National 2 - Group B |
| Sep 3, 2022 | Bobigny(away) | 1-3 | National 2 - Group B |
| Aug 27, 2022 | Belfort(home) | 1-1 | National 2 - Group B |
| Aug 20, 2022 | Metz II(away) | 0-0 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2022 | Wasquehal(home) | 0-1 | National 2 - Group B |
| Sep 10, 2022 | Colmar(away) | 1-0 | National 2 - Group B |
| Sep 3, 2022 | Epinal(home) | 1-0 | National 2 - Group B |
| Aug 27, 2022 | Fleury 91(away) | 1-2 | National 2 - Group B |
| Aug 20, 2022 | Sainte Geneviève(away) | 1-2 | National 2 - Group B |
How many goals should we expect?
Olympique St Quentin score 1.1 and concede 1.4 goals per match over their last 15; Furiani-Agliani score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Olympique St Quentin | 1.1 | 1.4 | 3 | 9/15 | 7/15 |
| Furiani-Agliani | 1.7 | 1.1 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Furiani-Agliani | 30 | 13 | 6 | 11 | 45 | 40 | 45 |
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