Lens vs CA Bastia: result 1-0 and analysis
Ligue 2Regular Season - 1Kick-off on August 4, 2013 at 06:45 PM (UTC)Stade Bollaert-Delelis, Lens
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What was the result of Lens vs CA Bastia?
Lens won 1-0 on August 4, 2013.
Goalscorers
- 51′Danijel LjubojaLens (pen.)
Official lineup for Lens vs CA Bastia
The starting elevens fielded at kick-off.
Lens
- 7Y. Touzghar
- 11P. Chavarría
- 28Danijel Ljuboja
- 6J. Le Moigne
- 18P. Valdivia
- 20L. Nomenjanahary
- 4Ahmed Kantari
- 5A. Yahia
- 15P. Fradj
- 24Ludovic Baal
- 16A. Areola
CA Bastia
- 18R. Pastorelli
- 6F. Marty
- 10J. Grimaldi
- 15Mamadou Camara
- 17C. Vincent
- 19A. N'Diaye
- 25A. Salis
- 4A. Monfray
- 23Johann Truchet
- 26Raphael Romey
- 1S. Lombard
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lens have 2 wins, 6 draws and 7 defeats; CA Bastia have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2013 | Le Mans(away) | 1-2 | Ligue 2 |
| May 17, 2013 | Istres(home) | 1-1 | Ligue 2 |
| May 10, 2013 | Guingamp(away) | 0-7 | Ligue 2 |
| May 3, 2013 | Tours(home) | 0-0 | Ligue 2 |
| Apr 26, 2013 | Laval(away) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2013 | Creteil(home) | 2-1 | Ligue 3 |
| May 17, 2013 | Quevilly(away) | 3-1 | Ligue 3 |
| May 11, 2013 | Luzenac(home) | 3-1 | Ligue 3 |
| May 7, 2013 | Rouen(away) | 2-3 | Ligue 3 |
| May 3, 2013 | Metz(away) | 1-1 | Ligue 3 |
How many goals should we expect?
Lens score 0.9 and concede 1.5 goals per match over their last 15; CA Bastia score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lens | 0.9 | 1.5 | 5 | 8/15 | 7/15 |
| CA Bastia | 2.1 | 1.3 | 3 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Lens vs CA Bastia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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