Furiani-Agliani vs Fleury 91: result 2-1 and analysis
National 2 - Group CRegular Season - 18Kick-off on February 3, 2018 at 05:00 PM (UTC)Stade d'Erbajolo, Bastia
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What was the result of Furiani-Agliani vs Fleury 91?
Furiani-Agliani won 2-1 on February 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Furiani-Agliani have 5 wins, 2 draws and 8 defeats; Fleury 91 have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 13, 2018 | Amiens AC(home) | 1-1 | National 2 - Group C |
| Dec 20, 2017 | Sedan(away) | 0-3 | National 2 - Group C |
| Dec 16, 2017 | Sainte Geneviève(home) | 3-0 | National 2 - Group C |
| Dec 9, 2017 | Bastia-Borgo(home) | 0-0 | National 2 - Group C |
| Dec 2, 2017 | Colomiers(away) | 0-3 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2018 | Reims II(away) | 1-2 | National 2 - Group C |
| Jan 7, 2018 | Biesheim(home) | 0-1 | Coupe de France |
| Dec 20, 2017 | St Maur Lusitanos(home) | 0-0 | National 2 - Group C |
| Dec 16, 2017 | Beauvais(away) | 2-3 | National 2 - Group C |
| Dec 2, 2017 | Raon l'Etape(home) | 4-0 | Coupe de France |
What does the head-to-head say?
Across the last 1 meetings: 0 Furiani-Agliani win(s), 0 draw(s), 1 Fleury 91 win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2017 | Fleury 91 2-1 Furiani-Agliani | National 2 - Group C |
Last archived meeting: Fleury 91 vs Furiani-Agliani on Sep 2, 2017
How many goals should we expect?
Furiani-Agliani score 0.9 and concede 1.6 goals per match over their last 15; Fleury 91 score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Furiani-Agliani | 0.9 | 1.6 | 4 | 6/15 | 9/15 |
| Fleury 91 | 1.5 | 1.0 | 5 | 7/15 | 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