Stade Bordelais vs Villenave: result 2-0 and analysis
National 2 - Group DMatchday 10Kick-off on November 9, 2013 at 05:00 PM (UTC)Stade Sainte-Germaine, Le-Bouscat
Full time
What was the result of Stade Bordelais vs Villenave?
Stade Bordelais won 2-0 on November 9, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stade Bordelais have 5 wins, 4 draws and 6 defeats; Villenave have 2, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2013 | Les Herbiers(away) | 1-2 | National 2 - Group D |
| Oct 19, 2013 | Bordeaux II(home) | 1-1 | National 2 - Group D |
| Oct 5, 2013 | Pontivy GSI(away) | 0-1 | National 2 - Group D |
| Sep 21, 2013 | Stade Plabennec(home) | 0-0 | National 2 - Group D |
| Sep 14, 2013 | Vitré(away) | 2-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2013 | Avranches(home) | 2-1 | National 2 - Group D |
| Oct 19, 2013 | Cherbourg(away) | 1-2 | National 2 - Group D |
| Oct 5, 2013 | Viry Châtillon(home) | 1-1 | National 2 - Group D |
| Sep 21, 2013 | Trélissac(away) | 1-2 | National 2 - Group D |
| Sep 14, 2013 | Concarneau(home) | 2-2 | National 2 - Group D |
How many goals should we expect?
Stade Bordelais score 1.1 and concede 1.5 goals per match over their last 15; Villenave score 1.0 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade Bordelais | 1.1 | 1.5 | 4 | 7/15 | 7/15 |
| Villenave | 1.0 | 1.9 | 1 | 6/9 | 6/9 |
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 |
A question about Stade Bordelais vs Villenave?
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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