Sedan vs St Maur Lusitanos: result 1-2 and analysis
National 2 - Group CRegular Season - 11Kick-off on November 18, 2017 at 05:00 PM (UTC)Stade Louis-Dugauguez, Sedan
Full time
What was the result of Sedan vs St Maur Lusitanos?
St Maur Lusitanos won 1-2 on November 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sedan have 7 wins, 3 draws and 5 defeats; St Maur Lusitanos have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Beauvais(away) | 2-1 | National 2 - Group C |
| Oct 28, 2017 | Viry Châtillon(home) | 2-1 | National 2 - Group C |
| Oct 14, 2017 | Drancy(away) | 0-1 | National 2 - Group C |
| Sep 30, 2017 | Arras(home) | 1-2 | National 2 - Group C |
| Sep 16, 2017 | Fleury 91(away) | 0-1 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 12, 2017 | Aubervilliers(home) | 0-2 | Coupe de France |
| Nov 4, 2017 | Sainte Geneviève(away) | 0-1 | National 2 - Group C |
| Oct 28, 2017 | Furiani-Agliani(away) | 3-2 | National 2 - Group C |
| Oct 14, 2017 | Lens II(home) | 0-1 | National 2 - Group C |
| Sep 30, 2017 | Reims II(away) | 3-0 | National 2 - Group C |
How many goals should we expect?
Sedan score 1.9 and concede 1.1 goals per match over their last 15; St Maur Lusitanos score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sedan | 1.9 | 1.1 | 3 | 9/15 | 9/15 |
| St Maur Lusitanos | 1.4 | 1.4 | 2 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | St Maur Lusitanos | 30 | 15 | 10 | 5 | 40 | 24 | 55 |
A question about Sedan vs St Maur Lusitanos?
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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