Bastia vs Dijon: result 0-0 and analysis
Ligue 1Regular Season - 11Kick-off on October 29, 2016 at 06:00 PM (UTC)Stade Armand-Césari, Furiani
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What was the result of Bastia vs Dijon?
Bastia and Dijon drew 0-0 on October 29, 2016.
Official lineup for Bastia vs Dijon
The starting elevens fielded at kick-off.
Bastia
4-2-3-1- 27E. Crivelli
- 2Abdoulaye Sadio Diallo
- 25L. Coulibaly
- 6A. Saint-Maximin
- 18Yannick Cahuzac
- 8Gaël Danic
- 17M. Peybernes
- 29G. Cioni
- 20P. Bengtsson
- 5Sébastien Squillaci
- 16J. Leca
Dijon
4-3-3- 9L. Diony
- 8P. Lees-Melou
- 14J. Marié
- 17M. Abeid
- 18F. Sammaritano
- 22J. Gastien
- 21Y. Abdelhamid
- 26Fouad Chafik
- 2Á. Lang
- 5Q. Bernard
- 30B. Reynet
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bastia have 5 wins, 3 draws and 7 defeats; Dijon have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2016 | Guingamp(home) | 1-1 | Coupe de la Ligue |
| Oct 22, 2016 | Lille(away) | 1-2 | Ligue 1 |
| Oct 15, 2016 | Angers(home) | 1-2 | Ligue 1 |
| Oct 1, 2016 | Nantes(away) | 0-1 | Ligue 1 |
| Sep 24, 2016 | Guingamp(home) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2016 | Sochaux(home) | 1-1 | Coupe de la Ligue |
| Oct 22, 2016 | Lorient(home) | 1-0 | Ligue 1 |
| Oct 16, 2016 | Saint Etienne(away) | 1-1 | Ligue 1 |
| Oct 1, 2016 | Montpellier(home) | 3-3 | Ligue 1 |
| Sep 24, 2016 | Rennes(home) | 3-0 | Ligue 1 |
How many goals should we expect?
Bastia score 0.9 and concede 1.0 goals per match over their last 15; Dijon score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bastia | 0.9 | 1.0 | 5 | 6/15 | 6/15 |
| Dijon | 1.2 | 1.6 | 4 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Bastia vs Dijon?
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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