Biesheim vs Furiani-Agliani: result 0-3 and analysis
National 2 - Group DGroup D - 10Kick-off on November 25, 2023 at 03:30 PM (UTC)Stade Municipal, Biesheim
Full time
What was the result of Biesheim vs Furiani-Agliani?
Furiani-Agliani won 0-3 on November 25, 2023.
Goalscorers
- 40′M. PerianFuriani-Agliani
- 43′E. ColyFuriani-Agliani
- 47′S. NoualaFuriani-Agliani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Biesheim have 8 wins, 5 draws and 2 defeats; Furiani-Agliani have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2023 | Villerupt Thil(away) | 2-0 | Coupe de France |
| Nov 11, 2023 | Olympique St Quentin(away) | 2-1 | National 2 - Group D |
| Nov 4, 2023 | Auxerre II(home) | 1-1 | National 2 - Group D |
| Oct 21, 2023 | Wasquehal(away) | 0-0 | National 2 - Group D |
| Oct 7, 2023 | Fleury 91(home) | 1-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2023 | Noisy-le-Sec(away) | 2-0 | Coupe de France |
| Nov 11, 2023 | Feignies-Aulnoye(home) | 0-0 | National 2 - Group D |
| Nov 4, 2023 | Haguenau(away) | 1-2 | National 2 - Group D |
| Oct 20, 2023 | Mâcon(home) | 2-0 | National 2 - Group D |
| Oct 7, 2023 | Bobigny(away) | 1-1 | National 2 - Group D |
How many goals should we expect?
Biesheim score 1.7 and concede 0.8 goals per match over their last 15; Furiani-Agliani score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biesheim | 1.7 | 0.8 | 6 | 8/15 | 6/15 |
| Furiani-Agliani | 1.2 | 0.9 | 6 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Biesheim sit 6th in National 2 - Group D (35 points from 26 matches) and Furiani-Agliani sit 3rd (43 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Furiani-Agliani | 26 | 10 | 13 | 3 | 31 | 18 | 43 |
| 6 | Biesheim | 26 | 9 | 8 | 9 | 29 | 34 | 35 |
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