Viry Châtillon vs Vitré: result 1-0 and analysis
National 2 - Group DRegular Season - 15Kick-off on January 16, 2016 at 05:00 PM (UTC)Stade Henri Longuet, Viry-Châtillon
Full time
What was the result of Viry Châtillon vs Vitré?
Viry Châtillon won 1-0 on January 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viry Châtillon have 2 wins, 4 draws and 9 defeats; Vitré have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2015 | Cholet(away) | 1-2 | National 2 - Group D |
| Dec 12, 2015 | Bergerac(away) | 1-0 | National 2 - Group D |
| Nov 28, 2015 | Stade Bordelais(home) | 0-1 | National 2 - Group D |
| Nov 21, 2015 | Châteaubriant(away) | 0-1 | National 2 - Group D |
| Nov 14, 2015 | Saint-Nazaire AF(away) | 1-2 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2015 | Bergerac(home) | 2-3 | National 2 - Group D |
| Dec 12, 2015 | Stade Bordelais(away) | 0-1 | National 2 - Group D |
| Nov 28, 2015 | Châteaubriant(home) | 2-2 | National 2 - Group D |
| Nov 21, 2015 | St Malo US(away) | 0-2 | National 2 - Group D |
| Nov 7, 2015 | Nantes II(home) | 3-2 | National 2 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Viry Châtillon win(s), 1 draw(s), 0 Vitré win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2013 | Viry Châtillon 0-0 Vitré | National 2 - Group D |
Last archived meeting: Viry Châtillon vs Vitré on Aug 24, 2013
How many goals should we expect?
Viry Châtillon score 0.7 and concede 1.3 goals per match over their last 15; Vitré score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viry Châtillon | 0.7 | 1.3 | 4 | 7/15 | 6/15 |
| Vitré | 1.2 | 1.9 | 1 | 12/15 | 10/15 |
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