Arras vs Furiani-Agliani: result 2-0 and analysis
National 2 - Group CRegular Season - 19Kick-off on March 31, 2018 at 06:00 PM (UTC)Stade Degouve Brabant, Arras
Full time
What was the result of Arras vs Furiani-Agliani?
Arras won 2-0 on March 31, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arras have 4 wins, 4 draws and 7 defeats; Furiani-Agliani have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2018 | Drancy(home) | 0-2 | National 2 - Group C |
| Mar 24, 2018 | Poissy(away) | 1-1 | National 2 - Group C |
| Mar 17, 2018 | Amiens AC(home) | 0-1 | National 2 - Group C |
| Mar 14, 2018 | Lens II(away) | 2-1 | National 2 - Group C |
| Mar 10, 2018 | Lille II(away) | 3-2 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2018 | Croix Football IC(home) | 2-0 | National 2 - Group C |
| Mar 17, 2018 | St Maur Lusitanos(away) | 0-1 | National 2 - Group C |
| Mar 10, 2018 | Beauvais(home) | 2-3 | National 2 - Group C |
| Mar 3, 2018 | Viry Châtillon(away) | 1-0 | National 2 - Group C |
| Feb 24, 2018 | Poissy(away) | 2-4 | National 2 - Group C |
What does the head-to-head say?
In the last meeting: 1 Arras win, 0 draws, 0 Furiani-Agliani wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2017 | Furiani-Agliani 0-1 Arras | National 2 - Group C |
Last archived meeting: Furiani-Agliani vs Arras on Sep 9, 2017
How many goals should we expect?
Arras score 1.0 and concede 1.4 goals per match over their last 15; Furiani-Agliani score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arras | 1.0 | 1.4 | 2 | 9/15 | 7/15 |
| Furiani-Agliani | 1.1 | 1.3 | 6 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Arras 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