Luzenac vs Orleans: result 0-1 and analysis
Ligue 3Regular Season - 23Kick-off on April 30, 2012 at 06:00 PM (UTC)Stade du Courbet, Foix
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What was the result of Luzenac vs Orleans?
Orleans won 0-1 on April 30, 2012.
Goalscorers
- 87′S. PersicoOrleans
What is the recent form of both teams?
Over their last 15 matches in all competitions, Luzenac have 5 wins, 6 draws and 4 defeats; Orleans 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 |
|---|---|---|---|
| Apr 27, 2012 | RED Star FC 93(home) | 2-0 | Ligue 3 |
| Apr 21, 2012 | Rouen(away) | 0-2 | Ligue 3 |
| Apr 17, 2012 | Beauvais(home) | 0-0 | Ligue 3 |
| Apr 13, 2012 | Fréjus St-Raphaël(home) | 1-1 | Ligue 3 |
| Apr 7, 2012 | Vannes(away) | 0-2 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2012 | Epinal(home) | 1-2 | Ligue 3 |
| Apr 22, 2012 | Paris FC(away) | 0-1 | Ligue 3 |
| Apr 17, 2012 | Colmar(home) | 1-0 | Ligue 3 |
| Apr 13, 2012 | Cherbourg(home) | 3-2 | Ligue 3 |
| Apr 7, 2012 | Martigues(away) | 0-0 | Ligue 3 |
What does the head-to-head say?
In the last meeting: 0 Luzenac wins, 0 draws, 1 Orleans win.
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2011 | Orleans 2-0 Luzenac | Ligue 3 |
How many goals should we expect?
Luzenac score 1.5 and concede 1.3 goals per match over their last 15; Orleans score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Luzenac | 1.5 | 1.3 | 3 | 9/15 | 5/15 |
| Orleans | 1.0 | 1.3 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Orleans | 9 | 2 | 3 | 4 | 7 | 11 | 9 |
A question about Luzenac vs Orleans?
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