Reims II vs Sainte Geneviève: result 1-3 and analysis
National 2 - Group CRegular Season - 12Kick-off on November 25, 2017 at 05:00 PM (UTC)Stade Louis Blériot N°1, Bétheny
Full time
What was the result of Reims II vs Sainte Geneviève?
Sainte Geneviève won 1-3 on November 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Reims II have 3 wins, 6 draws and 6 defeats; Sainte Geneviève have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Furiani-Agliani(away) | 0-1 | National 2 - Group C |
| Nov 12, 2017 | Viry Châtillon(home) | 0-2 | National 2 - Group C |
| Nov 4, 2017 | Lens II(home) | 2-2 | National 2 - Group C |
| Oct 28, 2017 | Bastia-Borgo(home) | 0-1 | National 2 - Group C |
| Oct 14, 2017 | Croix Football IC(away) | 3-0 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Croix Football IC(home) | 1-0 | National 2 - Group C |
| Nov 4, 2017 | St Maur Lusitanos(home) | 1-0 | National 2 - Group C |
| Oct 28, 2017 | Beauvais(home) | 2-0 | National 2 - Group C |
| Oct 14, 2017 | Viry Châtillon(away) | 2-2 | National 2 - Group C |
| Sep 30, 2017 | Drancy(home) | 1-2 | National 2 - Group C |
How many goals should we expect?
Reims II score 1.7 and concede 1.7 goals per match over their last 15; Sainte Geneviève score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Reims II | 1.7 | 1.7 | 2 | 9/15 | 10/15 |
| Sainte Geneviève | 0.9 | 1.2 | 7 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Reims II vs Sainte Geneviève?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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