Furiani-Agliani vs Beauvais: result 2-3 and analysis
National 2 - Group CRegular Season - 22Kick-off on March 10, 2018 at 05:00 PM (UTC)Stade d'Erbajolo, Bastia
Full time
What was the result of Furiani-Agliani vs Beauvais?
Beauvais won 2-3 on March 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Furiani-Agliani have 6 wins, 2 draws and 7 defeats; Beauvais have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2018 | Viry Châtillon(away) | 1-0 | National 2 - Group C |
| Feb 24, 2018 | Poissy(away) | 2-4 | National 2 - Group C |
| Feb 17, 2018 | Drancy(home) | 0-3 | National 2 - Group C |
| Feb 3, 2018 | Fleury 91(home) | 2-1 | National 2 - Group C |
| Jan 13, 2018 | Amiens AC(home) | 1-1 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2018 | Lens II(home) | 1-2 | National 2 - Group C |
| Feb 17, 2018 | Reims II(away) | 1-4 | National 2 - Group C |
| Feb 10, 2018 | Croix Football IC(home) | 0-1 | National 2 - Group C |
| Feb 3, 2018 | St Maur Lusitanos(away) | 0-1 | National 2 - Group C |
| Jan 27, 2018 | Arras(away) | 1-2 | National 2 - Group C |
What does the head-to-head say?
Across the last 1 meetings: 0 Furiani-Agliani win(s), 0 draw(s), 1 Beauvais win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 14, 2017 | Beauvais 4-0 Furiani-Agliani | National 2 - Group C |
Last archived meeting: Beauvais vs Furiani-Agliani on Oct 14, 2017
How many goals should we expect?
Furiani-Agliani score 1.1 and concede 1.7 goals per match over their last 15; Beauvais score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Furiani-Agliani | 1.1 | 1.7 | 5 | 6/15 | 10/15 |
| Beauvais | 1.0 | 1.6 | 3 | 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