Bergerac vs Vitré: result 2-0 and analysis
National 2 - Group ARegular Season - 14Kick-off on December 17, 2016 at 05:30 PM (UTC)Stade de Campréal, Bergerac
Full time
What was the result of Bergerac vs Vitré?
Bergerac won 2-0 on December 17, 2016.
Goalscorers
- 50′Sébastien BouscarratBergerac
- 81′D. MayengaBergerac
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bergerac have 10 wins, 2 draws and 3 defeats; Vitré have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Rennes II(away) | 0-1 | National 2 - Group A |
| Dec 3, 2016 | Balma(away) | 3-0 | Coupe de France |
| Nov 26, 2016 | Châteaubriant(home) | 2-0 | National 2 - Group A |
| Nov 19, 2016 | Trélissac(away) | 1-0 | National 2 - Group A |
| Nov 13, 2016 | St Pantaleon(away) | 1-0 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 10, 2016 | Nantes II(home) | 2-2 | National 2 - Group A |
| Dec 3, 2016 | St Malo US(home) | 2-0 | National 2 - Group A |
| Nov 26, 2016 | Granville(away) | 1-2 | National 2 - Group A |
| Nov 19, 2016 | Lorient II(home) | 0-2 | National 2 - Group A |
| Nov 12, 2016 | Saint-Colomban Locminé(away) | 1-1 | Coupe de France |
What does the head-to-head say?
Across the last 2 meetings: 2 Bergerac win(s), 0 draw(s), 0 Vitré win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2016 | Bergerac 1-0 Vitré | National 2 - Group D |
| Dec 19, 2015 | Vitré 2-3 Bergerac | National 2 - Group D |
How many goals should we expect?
Bergerac score 1.3 and concede 0.6 goals per match over their last 15; Vitré score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bergerac | 1.3 | 0.6 | 10 | 3/15 | 4/15 |
| Vitré | 1.1 | 0.9 | 4 | 8/15 | 4/15 |
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