Viry Châtillon vs Furiani-Agliani: result 0-1 and analysis
National 2 - Group CRegular Season - 21Kick-off on March 3, 2018 at 07:00 PM (UTC)Stade Henri Longuet, Viry-Châtillon
Full time
What was the result of Viry Châtillon vs Furiani-Agliani?
Furiani-Agliani won 0-1 on March 3, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viry Châtillon have 4 wins, 5 draws and 6 defeats; Furiani-Agliani have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2018 | St Maur Lusitanos(home) | 0-3 | National 2 - Group C |
| Feb 17, 2018 | Lens II(away) | 2-4 | National 2 - Group C |
| Feb 3, 2018 | Croix Football IC(away) | 1-1 | National 2 - Group C |
| Jan 27, 2018 | Drancy(away) | 1-1 | National 2 - Group C |
| Jan 13, 2018 | Beauvais(away) | 0-5 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 24, 2018 | Poissy(away) | 2-4 | National 2 - Group C |
| Feb 17, 2018 | Drancy(home) | 0-3 | National 2 - Group C |
| Feb 3, 2018 | Fleury 91(home) | 2-1 | National 2 - Group C |
| Jan 13, 2018 | Amiens AC(home) | 1-1 | National 2 - Group C |
| Dec 20, 2017 | Sedan(away) | 0-3 | National 2 - Group C |
What does the head-to-head say?
In the last meeting: 0 Viry Châtillon wins, 0 draws, 1 Furiani-Agliani win.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2017 | Furiani-Agliani 2-1 Viry Châtillon | National 2 - Group C |
Last archived meeting: Furiani-Agliani vs Viry Châtillon on Sep 30, 2017
How many goals should we expect?
Viry Châtillon score 1.2 and concede 1.7 goals per match over their last 15; Furiani-Agliani score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viry Châtillon | 1.2 | 1.7 | 4 | 9/15 | 8/15 |
| Furiani-Agliani | 1.1 | 1.8 | 4 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
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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