Villefranche vs Montceau: result 0-1 and analysis
National 2 - Group BMatchday 2Kick-off on August 24, 2013 at 04:00 PM (UTC)Stade Armand Chouffet, Villefranche-sur-Saône
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What was the result of Villefranche vs Montceau?
Montceau won 0-1 on August 24, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Villefranche have 6 wins, 4 draws and 5 defeats; Montceau 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 |
|---|---|---|---|
| Aug 17, 2013 | Epinal(away) | 0-2 | National 2 - Group B |
| Mar 13, 2013 | Raon l'Etape(away) | 0-3 | National 2 - Group B |
| Jan 12, 2013 | Sochaux II(home) | 1-1 | National 2 - Group B |
| Dec 15, 2012 | PSG II(home) | 0-0 | National 2 - Group B |
| Dec 8, 2012 | Savigneux Montbrison(away) | 1-2 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2013 | Belfort(home) | 3-0 | National 2 - Group B |
| Feb 2, 2013 | Grenoble(home) | 0-0 | National 2 - Group B |
| Jan 12, 2013 | Raon l'Etape(home) | 2-3 | National 2 - Group B |
| Jan 5, 2013 | Estac Troyes(home) | 0-1 | Coupe de France |
| Dec 22, 2012 | PSG II(away) | 1-2 | National 2 - Group B |
What does the head-to-head say?
In the last meeting: 1 Villefranche win, 0 draws, 0 Montceau wins.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2012 | Villefranche 2-0 Montceau | National 2 - Group B |
Last archived meeting: Villefranche vs Montceau on Sep 1, 2012
How many goals should we expect?
Villefranche score 1.4 and concede 1.1 goals per match over their last 15; Montceau score 1.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Villefranche | 1.4 | 1.1 | 6 | 6/15 | 7/15 |
| Montceau | 1.4 | 1.1 | 7 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Villefranche vs Montceau?
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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