Raon l'Etape vs Sainte-Marienne: result 2-0 and analysis
Coupe de France8th RoundKick-off on December 7, 2013 at 01:30 PM (UTC)Stade Paul Gasser, Raon-l'Etape
Full time
What was the result of Raon l'Etape vs Sainte-Marienne?
Raon l'Etape won 2-0 on December 7, 2013.
Goalscorers
- 46′R. PovoaRaon l'Etape
- 71′J. Do Rosario AbrantesRaon l'Etape
Official lineup for Raon l'Etape vs Sainte-Marienne
The starting elevens fielded at kick-off.
Raon l'Etape
- RR. Povoa
- MMaxime Kelsch
- PP. Johansen
- BBenoît Patin
- TT. Nyamwisi
- II. Sassi
- SS. Regui
- LL. Demangeon
- AA. Ba
- SS. Ketlas
- RRomain Lambay
Sainte-Marienne
- AA. Baur
- RR. Pounoussamy
- MM. Dubaril
- DD. Delnard
- MM. Mansri
- JJ. Randriamalala
- GG. M'Doihoma
- KK. Androge
- YY. Saandi
- YYoann Emmanuel Guichard
- JJoe Damour
What is the recent form of both teams?
Over their last 15 matches in all competitions, Raon l'Etape have 6 wins, 4 draws and 5 defeats; Sainte-Marienne have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 30, 2013 | Montceau(away) | 2-2 | National 2 - Group B |
| Nov 16, 2013 | Lunéville(away) | 3-1 | Coupe de France |
| Nov 9, 2013 | Moulins(away) | 0-3 | National 2 - Group B |
| Nov 2, 2013 | Villefranche(home) | 1-3 | National 2 - Group B |
| Oct 19, 2013 | Belfort(away) | 0-1 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2013 | Paris FC(home) | 2-0 | Coupe de France |
How many goals should we expect?
Raon l'Etape score 1.9 and concede 1.5 goals per match over their last 15; Sainte-Marienne score 2.0 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Raon l'Etape | 1.9 | 1.5 | 4 | 8/15 | 11/15 |
| Sainte-Marienne | 2.0 | 0.0 | 1 | 0/1 | 0/1 |
Over the last 15 matches in all competitions.
A question about Raon l'Etape vs Sainte-Marienne?
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