Bobigny vs Chasselay MDA: result 0-2 and analysis
National 2 - Group CGroup C - 6Kick-off on September 20, 2025 at 04:00 PM (UTC)Stade Auguste Delaune, Bobigny
Full time
What was the result of Bobigny vs Chasselay MDA?
Chasselay MDA won 0-2 on September 20, 2025.
Goalscorers
- 61′M. AssefChasselay MDA
- 89′Y. DraméChasselay MDA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bobigny have 4 wins, 5 draws and 6 defeats; Chasselay MDA 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 |
|---|---|---|---|
| Sep 13, 2025 | Nimes(away) | 0-0 | National 2 - Group C |
| Sep 6, 2025 | Creteil(home) | 1-1 | National 2 - Group C |
| Aug 30, 2025 | Grasse(away) | 0-0 | National 2 - Group C |
| Aug 23, 2025 | Saint-Priest(home) | 0-1 | National 2 - Group C |
| Aug 16, 2025 | Toulon(home) | 1-1 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2025 | Toulon(home) | 1-2 | National 2 - Group C |
| Sep 6, 2025 | Fréjus St-Raphaël(away) | 1-3 | National 2 - Group C |
| Aug 30, 2025 | Rumilly Vallières(home) | 2-1 | National 2 - Group C |
| Aug 23, 2025 | Limonest(away) | 0-0 | National 2 - Group C |
| Aug 16, 2025 | Istres(home) | 1-0 | National 2 - Group C |
How many goals should we expect?
Bobigny score 1.0 and concede 1.3 goals per match over their last 15; Chasselay MDA score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bobigny | 1.0 | 1.3 | 3 | 9/15 | 6/15 |
| Chasselay MDA | 1.1 | 1.6 | 5 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Chasselay MDA | 5 | 2 | 3 | 0 | 9 | 5 | 9 |
A question about Bobigny vs Chasselay MDA?
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