Furiani-Agliani vs Nice II: result 2-0 and analysis
National 3 - Group DGroup D - 16Kick-off on February 15, 2020 at 01:30 PM (UTC)Stade d'Erbajolo, Bastia
Full time
What was the result of Furiani-Agliani vs Nice II?
Furiani-Agliani won 2-0 on February 15, 2020.
Goalscorers
- 28′128265Furiani-Agliani
- 82′F. LopesFuriani-Agliani
What is the recent form of both teams?
Over their last 15 matches in all competitions, Furiani-Agliani have 4 wins, 5 draws and 6 defeats; Nice II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2020 | Cannes(home) | 0-2 | National 3 - Group D |
| Jan 25, 2020 | Villefranche SJB(away) | 1-2 | National 3 - Group D |
| Jan 18, 2020 | Côte Bleue(away) | 1-1 | National 3 - Group D |
| Jan 11, 2020 | Istres(home) | 2-1 | National 3 - Group D |
| Nov 30, 2019 | Gémenos(home) | 1-0 | National 3 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2020 | Balagne(home) | 0-3 | National 3 - Group D |
| Jan 25, 2020 | Cannes(away) | 1-2 | National 3 - Group D |
| Jan 15, 2020 | Ajaccio II(home) | 0-1 | National 3 - Group D |
| Jan 11, 2020 | Villefranche SJB(home) | 0-1 | National 3 - Group D |
| Dec 14, 2019 | Mandelieu LN(home) | 4-1 | National 3 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Furiani-Agliani win(s), 1 draw(s), 0 Nice II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2019 | Nice II 1-1 Furiani-Agliani | National 3 - Group D |
Last archived meeting: Nice II vs Furiani-Agliani on Sep 7, 2019
How many goals should we expect?
Furiani-Agliani score 0.9 and concede 1.3 goals per match over their last 15; Nice II score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Furiani-Agliani | 0.9 | 1.3 | 3 | 9/15 | 5/15 |
| Nice II | 1.2 | 1.1 | 4 | 7/15 | 6/15 |
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