Ajaccio vs Niort: result 0-0 and analysis
Ligue 2Regular Season - 10Kick-off on October 3, 2014 at 06:00 PM (UTC)Stade Michel-Moretti, Ajaccio
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What was the result of Ajaccio vs Niort?
Ajaccio and Niort drew 0-0 on October 3, 2014.
Official lineup for Ajaccio vs Niort
The starting elevens fielded at kick-off.
Ajaccio
- 9Nicolas Fauvergue
- 11Mouaad Madri
- 7Claude Gonçalves
- 17Benoît Pedretti
- 18J. Cavalli
- 21B. Lesoimier
- 5C. Kanté
- 6Ronald Zubar
- 12Éric Marester
- 13Fabrice Pierre Begeorgi Cabezas
- 1O. Sissoko
Niort
- 9A. Dona N'Doh
- 10Mouhamadou Diaw
- 12Seydou Koné
- 8F. Martin
- 20Adama Ba
- 33A. Batisse
- 2K. Malcuit
- 5Q. Bernard
- 6Y. Barbet
- 21M. Sans
- 1P. Delecroix
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajaccio have 4 wins, 4 draws and 7 defeats; Niort have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2014 | Creteil(away) | 2-3 | Ligue 2 |
| Sep 23, 2014 | Le Havre(home) | 0-1 | Ligue 2 |
| Sep 19, 2014 | Auxerre(away) | 1-1 | Ligue 2 |
| Sep 12, 2014 | Chateauroux(home) | 1-1 | Ligue 2 |
| Aug 29, 2014 | Laval(away) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2014 | Angers(home) | 2-1 | Ligue 2 |
| Sep 23, 2014 | Estac Troyes(away) | 1-4 | Ligue 2 |
| Sep 19, 2014 | Valenciennes(home) | 3-0 | Ligue 2 |
| Sep 12, 2014 | Dijon(away) | 0-1 | Ligue 2 |
| Aug 29, 2014 | Clermont Foot(home) | 0-0 | Ligue 2 |
How many goals should we expect?
Ajaccio score 1.1 and concede 1.3 goals per match over their last 15; Niort score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajaccio | 1.1 | 1.3 | 4 | 8/15 | 6/15 |
| Niort | 1.3 | 1.3 | 5 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Ajaccio vs Niort?
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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