Montpellier vs Nancy: result 1-2 and analysis
Ligue 1Regular Season - 5Kick-off on September 11, 2010 at 05:00 PM (UTC)Stade de la Mosson-Mondial 98, Montpellier
Full time
What was the result of Montpellier vs Nancy?
Nancy won 1-2 on September 11, 2010.
Goalscorers
- 6′Djamel BakarNancy
- 34′Bakaye TraoréNancy
- 50′M. EstradaMontpellier
Official lineup for Montpellier vs Nancy
The starting elevens fielded at kick-off.
Montpellier
- 11Hasan Salih Kabze
- 17O. Giroud
- 19S. Camara
- 6Joris Marveaux
- 13M. Estrada
- 14R. Pitau
- 2G. Bocaly
- 3M. Yanga-Mbiwa
- 5Emir Spahić
- 27C. Jeunechamp
- 16Geoffrey Jourdren
Nancy
- 11Djamel Bakar
- 6P. Berenguer
- 7L. N'Guémo
- 12Bakaye Traoré
- 18J. Féret
- 22Alexandre Cuvillier
- 3Joel Sami
- 5André Luiz
- 20Michaël Chrétien Basser
- 25R. Lemaître
- 1Gennaro Bracigliano
What is the recent form of both teams?
Over their last 4 matches in all competitions, Montpellier have 2 wins, 2 draws and 0 defeats; Nancy have 1, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2010 | Valenciennes(away) | 1-0 | Ligue 1 |
| Aug 22, 2010 | Caen(home) | 0-0 | Ligue 1 |
| Aug 17, 2010 | Monaco(away) | 0-0 | Ligue 1 |
| Aug 8, 2010 | Bordeaux(home) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2010 | Toulouse(home) | 0-2 | Ligue 1 |
| Aug 21, 2010 | Nice(away) | 1-1 | Ligue 1 |
| Aug 14, 2010 | Rennes(home) | 0-3 | Ligue 1 |
| Aug 7, 2010 | Lens(away) | 2-1 | Ligue 1 |
How many goals should we expect?
Montpellier score 0.5 and concede 0.0 goals per match over their last 4; Nancy score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montpellier | 0.5 | 0.0 | 4 | 0/4 | 0/4 |
| Nancy | 0.8 | 1.8 | 0 | 2/4 | 2/4 |
Over the last 4 matches in all competitions.
A question about Montpellier vs Nancy?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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