Caen vs Tours: result 0-1 and analysis
Ligue 2Regular Season - 9Kick-off on September 29, 2012 at 12:00 PM (UTC)Stade Michel d'Ornano, Caen
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What was the result of Caen vs Tours?
Tours won 0-1 on September 29, 2012.
Goalscorers
- 52′T. GamietteTours
Official lineup for Caen vs Tours
The starting elevens fielded at kick-off.
Caen
- 7Mathieu Duhamel
- 21L. Nabab
- 2N. Seube
- 5Laurent Agouazi
- 10F. Fajr
- 11N. Kebano
- 4M. Wagué
- 19J. Sorbon
- 23Jean Calve
- 25Raphaël Guerreiro
- 16Damien Perquis
Tours
- 11J. Boukaka
- 13Jérémy Blayac
- 14Mohamed Ali Gheriani
- 6T. Gamiette
- 7P. Oniangué
- 25P. Berenguer
- 3Xavier Tomas
- 15T. Fontaine
- 18S. Tritz
- 22L. Schwechlen
- 30B. Leroy
What is the recent form of both teams?
Over their last 15 matches in all competitions, Caen have 7 wins, 2 draws and 6 defeats; Tours have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2012 | Toulouse(home) | 0-1 | Coupe de la Ligue |
| Sep 21, 2012 | Laval(away) | 2-1 | Ligue 2 |
| Sep 14, 2012 | Le Mans(home) | 0-2 | Ligue 2 |
| Aug 31, 2012 | Sedan(away) | 2-2 | Ligue 2 |
| Aug 28, 2012 | Clermont Foot(away) | 1-0 | Coupe de la Ligue |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2012 | Sedan(home) | 1-1 | Ligue 2 |
| Sep 14, 2012 | Clermont Foot(away) | 1-1 | Ligue 2 |
| Aug 31, 2012 | Auxerre(home) | 1-0 | Ligue 2 |
| Aug 28, 2012 | Metz(away) | 0-1 | Coupe de la Ligue |
| Aug 24, 2012 | Chateauroux(away) | 0-3 | Ligue 2 |
How many goals should we expect?
Caen score 1.3 and concede 1.2 goals per match over their last 15; Tours score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Caen | 1.3 | 1.2 | 5 | 6/15 | 8/15 |
| Tours | 1.3 | 1.9 | 1 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Caen vs Tours?
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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