Villenave vs Romorantin: result 0-0 and analysis
National 2 - Group DRegular Season - 11Kick-off on November 23, 2013 at 06:00 PM (UTC)Stade Alain-Roche, Villenave d'Ornon
Full time
What was the result of Villenave vs Romorantin?
Villenave and Romorantin drew 0-0 on November 23, 2013.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Villenave have 3 wins, 2 draws and 6 defeats; Romorantin have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2013 | Anglet Genets(home) | 2-1 | Coupe de France |
| Nov 9, 2013 | Stade Bordelais(away) | 0-2 | National 2 - Group D |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2013 | Chamalières(home) | 5-0 | Coupe de France |
| Nov 9, 2013 | Les Herbiers(home) | 1-2 | National 2 - Group D |
| Nov 3, 2013 | Bordeaux II(away) | 0-0 | National 2 - Group D |
| Oct 19, 2013 | Pontivy GSI(home) | 1-2 | National 2 - Group D |
| Oct 5, 2013 | Stade Plabennec(away) | 3-1 | National 2 - Group D |
How many goals should we expect?
Villenave score 1.0 and concede 1.8 goals per match over their last 11; Romorantin score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Villenave | 1.0 | 1.8 | 1 | 7/11 | 7/11 |
| Romorantin | 1.2 | 1.3 | 4 | 8/15 | 9/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Romorantin | 30 | 12 | 7 | 11 | 40 | 40 | 43 |
A question about Villenave vs Romorantin?
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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