Ardziv vs Furiani-Agliani: result 1-2 and analysis
National 3 - Group DGroup D - 1Kick-off on August 17, 2019 at 02:00 PM (UTC)Stade Plaine Sportive 1, Rousset
Full time
What was the result of Ardziv vs Furiani-Agliani?
Furiani-Agliani won 1-2 on August 17, 2019.
Goalscorers
- 5′J. SantiniFuriani-Agliani
- 29′T. BoyFuriani-Agliani
- 33′C. HernandezArdziv (pen.)
Official lineup for Ardziv vs Furiani-Agliani
The starting elevens fielded at kick-off.
Ardziv
- 7D. Malhasian
- 9H. Birgin
- 5J. Parpeix
- 6A. Tonco
- 8P. Abramian
- 10C. Hernandez
- 2S. Sarkissian
- 3F. Massa
- 4Marco Sevilla Mena
- 11G. Arrighino
- 1L. Yasidjian
Furiani-Agliani
- 3P. Giabiconi
- 8M. Ait Bassou
- 10T. Boy
- 7C. Nadjem
- 9T. Casenave
- 2Jordan Dueni Diakiese
- 4T. Valéry
- 5N. Medori
- 6A. Féliciano
- 11J. Santini
- 1P. Albertini
What is the recent form of both teams?
In their last match in all competitions, Ardziv have 0 wins, 1 draw and 0 defeats; Furiani-Agliani have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2011 | Calvi(home) | 0-0 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Granville(home) | 6-2 | National 2 - Group C |
| May 18, 2019 | Mantes 78(away) | 1-3 | National 2 - Group C |
| May 11, 2019 | Vitré(home) | 0-1 | National 2 - Group C |
| May 4, 2019 | Oissel(away) | 1-0 | National 2 - Group C |
| Apr 20, 2019 | C' Chartres(home) | 1-0 | National 2 - Group C |
How many goals should we expect?
Ardziv score 0.0 and concede 0.0 goals per match in their last match; Furiani-Agliani score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ardziv | 0.0 | 0.0 | 1 | 0/1 | 0/1 |
| Furiani-Agliani | 1.1 | 1.5 | 5 | 6/15 | 7/15 |
Over the last match in all competitions.
A question about Ardziv vs Furiani-Agliani?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy