Sedan vs Sainte Geneviève: result 2-0 and analysis
National 2 - Group CRegular Season - 30Kick-off on May 19, 2018 at 04:00 PM (UTC)Stade Louis-Dugauguez, Sedan
Full time
What was the result of Sedan vs Sainte Geneviève?
Sedan won 2-0 on May 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sedan have 9 wins, 4 draws and 2 defeats; Sainte Geneviève have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2018 | Lens II(home) | 3-2 | National 2 - Group C |
| Apr 21, 2018 | Reims II(away) | 0-0 | National 2 - Group C |
| Apr 14, 2018 | Croix Football IC(home) | 1-1 | National 2 - Group C |
| Apr 7, 2018 | St Maur Lusitanos(away) | 3-3 | National 2 - Group C |
| Mar 24, 2018 | Beauvais(home) | 2-0 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2018 | Bastia-Borgo(home) | 1-1 | National 2 - Group C |
| Apr 28, 2018 | Furiani-Agliani(home) | 2-1 | National 2 - Group C |
| Apr 21, 2018 | Lens II(away) | 2-2 | National 2 - Group C |
| Apr 14, 2018 | Reims II(home) | 1-2 | National 2 - Group C |
| Apr 7, 2018 | Croix Football IC(away) | 2-0 | National 2 - Group C |
What does the head-to-head say?
Across the last 1 meetings: 1 Sedan win(s), 0 draw(s), 0 Sainte Geneviève win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2017 | Sainte Geneviève 1-3 Sedan | National 2 - Group C |
Last archived meeting: Sainte Geneviève vs Sedan on Aug 12, 2017
How many goals should we expect?
Sedan score 1.9 and concede 1.1 goals per match over their last 15; Sainte Geneviève score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sedan | 1.9 | 1.1 | 7 | 7/15 | 7/15 |
| Sainte Geneviève | 1.5 | 0.7 | 8 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy