Mont-de-Marsan vs Stade Bordelais: result 0-2 and analysis
National 2 - Group DRegular Season - 13Kick-off on December 13, 2014 at 06:00 PM (UTC)Stade Municipal de l'Argenté, Mont-de-Marsan
Full time
What was the result of Mont-de-Marsan vs Stade Bordelais?
Stade Bordelais won 0-2 on December 13, 2014.
Goalscorers
- 44′C. DutournierStade Bordelais
- 90′C. DutournierStade Bordelais
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mont-de-Marsan have 6 wins, 3 draws and 6 defeats; Stade Bordelais have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2014 | Nantes II(away) | 2-4 | National 2 - Group D |
| Nov 29, 2014 | Pontivy GSI(away) | 3-2 | National 2 - Group D |
| Nov 22, 2014 | Lorient II(home) | 1-1 | National 2 - Group D |
| Nov 1, 2014 | Concarneau(home) | 2-0 | National 2 - Group D |
| Oct 17, 2014 | PAU(away) | 1-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 6, 2014 | Tours(home) | 3-3 | Coupe de France |
| Nov 29, 2014 | Vendée Fontenay(home) | 2-3 | National 2 - Group D |
| Nov 22, 2014 | Vitré(away) | 1-2 | National 2 - Group D |
| Nov 16, 2014 | FC des Graves(away) | 1-0 | Coupe de France |
| Nov 8, 2014 | Bordeaux II(home) | 2-1 | National 2 - Group D |
How many goals should we expect?
Mont-de-Marsan score 1.3 and concede 1.5 goals per match over their last 15; Stade Bordelais score 1.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mont-de-Marsan | 1.3 | 1.5 | 5 | 7/15 | 8/15 |
| Stade Bordelais | 1.3 | 1.0 | 6 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Stade Bordelais | 30 | 8 | 5 | 17 | 32 | 48 | 29 |
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