Viry Châtillon vs Châteaubriant: result 3-1 and analysis
National 2 - Group DRegular Season - 25Kick-off on April 16, 2016 at 04:00 PM (UTC)Stade Henri Longuet, Viry-Châtillon
Full time
What was the result of Viry Châtillon vs Châteaubriant?
Viry Châtillon won 3-1 on April 16, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viry Châtillon have 3 wins, 7 draws and 5 defeats; Châteaubriant have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2016 | Fleury 91(away) | 0-0 | National 2 - Group D |
| Apr 9, 2016 | St Malo US(away) | 2-5 | National 2 - Group D |
| Apr 2, 2016 | Nantes II(home) | 1-1 | National 2 - Group D |
| Mar 19, 2016 | Concarneau(away) | 2-1 | National 2 - Group D |
| Mar 12, 2016 | Trélissac(home) | 0-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Bergerac(home) | 2-0 | National 2 - Group D |
| Apr 2, 2016 | Stade Bordelais(away) | 2-0 | National 2 - Group D |
| Mar 19, 2016 | Cholet(home) | 2-1 | National 2 - Group D |
| Mar 12, 2016 | St Malo US(home) | 0-0 | National 2 - Group D |
| Mar 5, 2016 | Nantes II(away) | 1-4 | National 2 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Viry Châtillon win(s), 0 draw(s), 1 Châteaubriant win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 21, 2015 | Châteaubriant 1-0 Viry Châtillon | National 2 - Group D |
Last archived meeting: Châteaubriant vs Viry Châtillon on Nov 21, 2015
How many goals should we expect?
Viry Châtillon score 0.8 and concede 1.1 goals per match over their last 15; Châteaubriant score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viry Châtillon | 0.8 | 1.1 | 6 | 7/15 | 5/15 |
| Châteaubriant | 1.5 | 1.1 | 6 | 7/15 | 7/15 |
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