Chateauroux vs Montpellier: result 0-2 and analysis
Coupe de France8th FinalsKick-off on February 8, 2012 at 07:00 PM (UTC)Stade Gaston Petit, Châteauroux
Full time
What was the result of Chateauroux vs Montpellier?
Montpellier won 0-2 on February 8, 2012.
Goalscorers
- 38′O. GiroudMontpellier
- 90′Y. BelhandaMontpellier
Official lineup for Chateauroux vs Montpellier
The starting elevens fielded at kick-off.
Chateauroux
- CC. Beauvue
- MM. Bourgeois
- YY. Hautcoeur
- RR. Grange
- TT. Moulin
- RR. Fournier
- RR. Reynaud
- NNando
- AA. Baby
- JJordan Fauque
- VVincent Fernandez
Montpellier
- SS. Camara
- OO. Giroud
- BB. Stambouli
- RR. Pitau
- YY. Belhanda
- KKarim Aït-Fana
- HHilton
- CC. Jeunechamp
- HHenri Bedimo
- AA. El Kaoutari
- LLaurent Pionnier
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chateauroux have 9 wins, 2 draws and 4 defeats; Montpellier have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2012 | Clermont Foot(home) | 2-1 | Ligue 2 |
| Jan 28, 2012 | Le Mans(away) | 1-0 | Ligue 2 |
| Jan 21, 2012 | Auxerre(away) | 2-1 | Coupe de France |
| Jan 18, 2012 | Metz(home) | 1-1 | Ligue 2 |
| Jan 14, 2012 | Laval(home) | 3-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2012 | Stade Brestois 29(home) | 1-0 | Ligue 1 |
| Jan 28, 2012 | Nice(away) | 1-0 | Ligue 1 |
| Jan 23, 2012 | Tours(away) | 1-0 | Coupe de France |
| Jan 14, 2012 | Lyon(home) | 1-0 | Ligue 1 |
| Jan 8, 2012 | Prix-lès-Mézières(away) | 4-0 | Coupe de France |
How many goals should we expect?
Chateauroux score 1.7 and concede 1.2 goals per match over their last 15; Montpellier score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chateauroux | 1.7 | 1.2 | 4 | 7/15 | 10/15 |
| Montpellier | 1.7 | 0.7 | 8 | 6/15 | 6/15 |
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