Fleury 91 vs Sedan: result 3-2 and analysis
National 2 - Group DRegular Season - 8Kick-off on October 6, 2018 at 04:00 PM (UTC)Terrain Walter Felder, Fleury Merogis
Full time
What was the result of Fleury 91 vs Sedan?
Fleury 91 won 3-2 on October 6, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fleury 91 have 7 wins, 2 draws and 6 defeats; Sedan have 7, 8 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Belfort(away) | 1-2 | National 2 - Group D |
| Sep 15, 2018 | Sainte Geneviève(home) | 3-1 | National 2 - Group D |
| Sep 8, 2018 | Schiltigheim(away) | 2-2 | National 2 - Group D |
| Sep 1, 2018 | Epinal(home) | 2-2 | National 2 - Group D |
| Aug 25, 2018 | Creteil(away) | 0-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Haguenau(home) | 1-1 | National 2 - Group D |
| Sep 15, 2018 | Lille II(away) | 0-0 | National 2 - Group D |
| Sep 8, 2018 | St Maur Lusitanos(home) | 3-3 | National 2 - Group D |
| Sep 1, 2018 | Feignies-Aulnoye(away) | 0-0 | National 2 - Group D |
| Aug 25, 2018 | Lens II(home) | 1-1 | National 2 - Group D |
What does the head-to-head say?
Across the last 2 meetings: 2 Fleury 91 win(s), 0 draw(s), 0 Sedan win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 17, 2018 | Sedan 1-2 Fleury 91 | National 2 - Group C |
| Sep 16, 2017 | Fleury 91 1-0 Sedan | National 2 - Group C |
How many goals should we expect?
Fleury 91 score 1.6 and concede 1.2 goals per match over their last 15; Sedan score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fleury 91 | 1.6 | 1.2 | 3 | 8/15 | 9/15 |
| Sedan | 1.7 | 1.0 | 6 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | Fleury 91 | 26 | 13 | 7 | 6 | 44 | 21 | 46 |
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