Chasselay MDA vs Canet Roussillon: result 2-2 and analysis
National 2 - Group CGroup C - 4Kick-off on September 12, 2026 at 04:00 PM (UTC)Stade Ludovic Giuly, Chasselay
Full time
What was the result of Chasselay MDA vs Canet Roussillon?
Chasselay MDA and Canet Roussillon drew 2-2 on September 12, 2026.
Goalscorers
- 15′I. MboupCanet Roussillon
- 21′A. DjedidChasselay MDA
- 44′S. El KhiarCanet Roussillon
- 88′M. BoussaïdChasselay MDA
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chasselay MDA have 4 wins, 7 draws and 4 defeats; Canet Roussillon have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2026 | Bourges Foot 18(away) | 0-0 | National 2 - Group C |
| Aug 22, 2026 | Toulon(home) | 1-1 | National 2 - Group C |
| Jul 31, 2026 | Estac Troyes(away) | 2-5 | Friendlies Clubs |
| May 16, 2026 | Istres(away) | 2-1 | National 2 - Group C |
| May 9, 2026 | Andrézieux(home) | 0-0 | National 2 - Group C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2026 | Toulon(home) | 0-3 | National 2 - Group C |
| Aug 29, 2026 | Andrézieux(away) | 0-2 | National 2 - Group C |
| Aug 22, 2026 | Nimes(home) | 1-3 | National 2 - Group C |
| May 16, 2026 | Bassin d'Arcachon Sud(away) | 1-2 | National 3 - Group A |
| May 9, 2026 | Anglet Genets(home) | 3-1 | National 3 - Group A |
How many goals should we expect?
Chasselay MDA score 1.1 and concede 1.2 goals per match over their last 15; Canet Roussillon score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chasselay MDA | 1.1 | 1.2 | 4 | 10/15 | 6/15 |
| Canet Roussillon | 1.3 | 1.1 | 7 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Chasselay MDA sit 9th in National 2 - Group C (9 points from 6 matches) and Canet Roussillon sit 17th (2 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Chasselay MDA | 6 | 2 | 3 | 1 | 9 | 6 | 9 |
| 17 | Canet Roussillon | 6 | 0 | 2 | 4 | 3 | 14 | 2 |
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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