Furiani-Agliani vs Wasquehal: result 0-1 and analysis
National 2 - Group BGroup B - 5Kick-off on September 17, 2022 at 01:30 PM (UTC)Stade d'Erbajolo, Bastia
Full time
What was the result of Furiani-Agliani vs Wasquehal?
Wasquehal won 0-1 on September 17, 2022.
Goalscorers
- 21′A. BouzarWasquehal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Furiani-Agliani have 9 wins, 1 draws and 5 defeats; Wasquehal have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jul 19, 2022 | Bastia(away) | 2-0 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2022 | Sainte Geneviève(home) | 1-3 | National 2 - Group B |
| Sep 3, 2022 | St Maur Lusitanos(away) | 1-3 | National 2 - Group B |
| Aug 27, 2022 | Bobigny(home) | 2-1 | National 2 - Group B |
| Aug 20, 2022 | Belfort(away) | 0-0 | National 2 - Group B |
| Jun 4, 2022 | Chantilly(home) | 5-1 | National 3 - Group I |
How many goals should we expect?
Furiani-Agliani score 1.9 and concede 1.1 goals per match over their last 15; Wasquehal score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Furiani-Agliani | 1.9 | 1.1 | 5 | 9/15 | 9/15 |
| Wasquehal | 1.6 | 1.1 | 4 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Furiani-Agliani sit 5th in National 2 - Group B (45 points from 30 matches) and Wasquehal sit 13th (34 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Furiani-Agliani | 30 | 13 | 6 | 11 | 45 | 40 | 45 |
| 13 | Wasquehal | 30 | 10 | 4 | 16 | 28 | 44 | 34 |
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