Villefranche vs Vesoul: result 0-1 and analysis
National 2 - Group BRegular Season - 12Kick-off on November 30, 2013 at 05:00 PM (UTC)Stade Armand Chouffet, Villefranche-sur-Saône
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What was the result of Villefranche vs Vesoul?
Vesoul won 0-1 on November 30, 2013.
Goalscorers
- 41′Y. El FakirVesoul
Official lineup for Villefranche vs Vesoul
The starting elevens fielded at kick-off.
Villefranche
- JJ. Fostier
- MM. Dumas
- EE. Arbia
- AA. N'Diaye
- AAnthony Castillo
- TT. Antoinat
- CC. Giraud
- DD. Ogier
- JJ. Romany
- MM. Jasse
- JJean N'Djalkonog
Vesoul
- RR. Jous
- JJ. Cossi
- CC. Grandjean
- MM. Asdrubal
- JJ. Jeanney
- MM. Ravaux
- YY. Konki
- VV. Fournier
- AA. Gwapdoum Sagoua
- YY. El Fakir
- HH. Charpentier
What is the recent form of both teams?
Over their last 15 matches in all competitions, Villefranche have 7 wins, 2 draws and 6 defeats; Vesoul have 1, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2013 | Mulhouse(away) | 1-0 | National 2 - Group B |
| Nov 17, 2013 | Geispolsheim(away) | 4-0 | Coupe de France |
| Nov 9, 2013 | Chasselay MDA(home) | 3-0 | National 2 - Group B |
| Nov 2, 2013 | Raon l'Etape(away) | 3-1 | National 2 - Group B |
| Oct 19, 2013 | Saint-Priest(home) | 3-1 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2013 | Belfort(home) | 1-2 | National 2 - Group B |
| Nov 9, 2013 | Sarre Union(away) | 0-3 | National 2 - Group B |
| Nov 2, 2013 | Mulhouse(away) | 3-0 | National 2 - Group B |
| Oct 19, 2013 | Chasselay MDA(home) | 2-3 | National 2 - Group B |
| Oct 5, 2013 | Raon l'Etape(away) | 1-3 | National 2 - Group B |
How many goals should we expect?
Villefranche score 1.3 and concede 0.9 goals per match over their last 15; Vesoul score 1.4 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Villefranche | 1.3 | 0.9 | 4 | 5/15 | 7/15 |
| Vesoul | 1.4 | 2.0 | 3 | 7/11 | 8/11 |
Over the last 15 matches in all competitions.
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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