Cannes vs Furiani-Agliani: prediction and stats
National 3 - Group DCorse-Méditerranée - 4Kick-off on October 14, 2020 at 02:00 PM (UTC)Stade Pierre de Coubertin, Cannes
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cannes have 8 wins, 4 draws and 3 defeats; Furiani-Agliani have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Cannet Rocheville(away) | 1-0 | National 3 - Group D |
| Sep 30, 2020 | Côte Bleue(away) | 1-1 | National 3 - Group D |
| Sep 12, 2020 | Athletico Marseille(away) | 2-1 | National 3 - Group D |
| Sep 5, 2020 | Mandelieu LN(home) | 3-1 | National 3 - Group D |
| Mar 7, 2020 | Ajaccio II(home) | 0-0 | National 3 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Corte(home) | 1-0 | National 3 - Group D |
| Sep 12, 2020 | Gallia Lucciana(home) | 2-1 | National 3 - Group D |
| Sep 5, 2020 | Marseille Endoume(away) | 3-3 | National 3 - Group D |
| Aug 30, 2020 | Rousset-Ste Victoire(home) | 1-0 | National 3 - Group D |
| Mar 7, 2020 | Athletico Marseille(home) | 1-0 | National 3 - Group D |
What does the head-to-head say?
Across the last 2 meetings: 1 Cannes win(s), 1 draw(s), 0 Furiani-Agliani win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 8, 2020 | Furiani-Agliani 0-2 Cannes | National 3 - Group D |
| Aug 31, 2019 | Cannes 1-1 Furiani-Agliani | National 3 - Group D |
Last archived meeting: Furiani-Agliani vs Cannes on Feb 8, 2020
How many goals should we expect?
Cannes score 1.2 and concede 0.5 goals per match over their last 15; Furiani-Agliani score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cannes | 1.2 | 0.5 | 8 | 4/15 | 4/15 |
| Furiani-Agliani | 1.0 | 0.9 | 7 | 5/15 | 4/15 |
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