Aubagne vs Chasselay MDA: result 2-1 and analysis
National 2 - Group CGroup C - 4Kick-off on September 5, 2020 at 04:00 PM (UTC)Stade de Lattre de Tassigny, Aubagne
Full time
What was the result of Aubagne vs Chasselay MDA?
Aubagne won 2-1 on September 5, 2020.
Goalscorers
- 20′M. ZogbaAubagne (o.g.)
- 36′S. BendaoudChasselay MDA
- 83′T. El FaqyhAubagne
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aubagne have 8 wins, 4 draws and 3 defeats; Chasselay MDA have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2020 | Martigues(away) | 2-4 | National 2 - Group C |
| Aug 29, 2020 | Monaco II(home) | 1-0 | National 2 - Group C |
| Aug 22, 2020 | Andrézieux(away) | 1-1 | National 2 - Group C |
| Mar 7, 2020 | Nice II(home) | 1-0 | National 3 - Group D |
| Feb 29, 2020 | Furiani-Agliani(home) | 0-0 | National 3 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2020 | Louhans-Cuiseaux(home) | 1-0 | National 2 - Group C |
| Aug 29, 2020 | Rumilly Vallières(away) | 1-1 | National 2 - Group C |
| Aug 22, 2020 | Marignane(home) | 3-0 | National 2 - Group C |
| Mar 7, 2020 | Olympique Marseille II(away) | 1-0 | National 2 - Group D |
| Feb 22, 2020 | Olympique Lyonnais II(home) | 4-2 | National 2 - Group D |
How many goals should we expect?
Aubagne score 1.4 and concede 1.0 goals per match over their last 15; Chasselay MDA score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aubagne | 1.4 | 1.0 | 7 | 6/15 | 6/15 |
| Chasselay MDA | 1.8 | 0.7 | 7 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Chasselay MDA | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
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