Lens vs Niort: result 1-0 and analysis
Ligue 2Regular Season - 10Kick-off on October 5, 2012 at 04:45 PM (UTC)Stade Bollaert-Delelis, Lens
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What was the result of Lens vs Niort?
Lens won 1-0 on October 5, 2012.
Goalscorers
- 87′D. PolletLens
Official lineup for Lens vs Niort
The starting elevens fielded at kick-off.
Lens
- 7Y. Touzghar
- 9D. Pollet
- 8P. Ducasse
- 20L. Nomenjanahary
- 27S. Sow
- 35A. Rogie
- 2Z. Bergdich
- 5A. Yahia
- 26Y. Demont
- 29A. Coeff
- 1R. Riou
Niort
- 10Mouhamadou Diaw
- 12M. Durak
- 29Simon Hébras
- 7J. Ricaud
- 8J. Gastien
- 19J. Roye
- 20M. Khalis
- 23D. Konaté
- 24N. Pallois
- 27F. Bong
- 16R. Roche
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lens have 3 wins, 6 draws and 6 defeats; Niort have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2012 | Nantes(away) | 0-4 | Ligue 2 |
| Sep 21, 2012 | Monaco(home) | 0-4 | Ligue 2 |
| Sep 14, 2012 | Chateauroux(away) | 1-1 | Ligue 2 |
| Sep 3, 2012 | Angers(home) | 1-3 | Ligue 2 |
| Aug 24, 2012 | Gazelec FC Ajaccio(away) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2012 | Dijon(home) | 4-2 | Ligue 2 |
| Sep 21, 2012 | Le Mans(away) | 2-2 | Ligue 2 |
| Sep 14, 2012 | Arles(home) | 0-0 | Ligue 2 |
| Aug 31, 2012 | Istres(away) | 0-1 | Ligue 2 |
| Aug 28, 2012 | Monaco(home) | 1-2 | Coupe de la Ligue |
How many goals should we expect?
Lens score 0.8 and concede 1.5 goals per match over their last 15; Niort score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lens | 0.8 | 1.5 | 4 | 7/15 | 5/15 |
| Niort | 0.9 | 1.0 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Lens vs Niort?
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