Athletico Marseille vs Gallia Lucciana: result 4-3 and analysis
National 3 - Group DGroup D - 11Kick-off on November 30, 2019 at 02:00 PM (UTC)Stade de la Martine, Marseille
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What was the result of Athletico Marseille vs Gallia Lucciana?
Athletico Marseille won 4-3 on November 30, 2019.
Goalscorers
- 26′Yamin AmiriAthletico Marseille
- 41′S. BenbachirAthletico Marseille
- 55′Jean-Jacques MandrichiGallia Lucciana (pen.)
- 66′Franck RybkaGallia Lucciana
- 83′P. BâAthletico Marseille
- 86′Dolan BahamboulaAthletico Marseille
- 90′J. MaggiottiGallia Lucciana (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Athletico Marseille have 10 wins, 2 draws and 3 defeats; Gallia Lucciana have 6, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | FC Lyon(away) | 1-0 | Coupe de France |
| Nov 9, 2019 | Ajaccio II(home) | 1-0 | National 3 - Group D |
| Nov 2, 2019 | Nice II(away) | 0-1 | National 3 - Group D |
| Oct 19, 2019 | Aubagne(away) | 3-0 | National 3 - Group D |
| Oct 5, 2019 | Furiani-Agliani(home) | 4-2 | National 3 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Furiani-Agliani(away) | 1-0 | National 3 - Group D |
| Nov 2, 2019 | Cannes(home) | 2-1 | National 3 - Group D |
| Oct 19, 2019 | Villefranche SJB(away) | 1-4 | National 3 - Group D |
| Oct 5, 2019 | Ardziv(home) | 2-1 | National 3 - Group D |
| Sep 21, 2019 | Istres(away) | 1-1 | National 3 - Group D |
How many goals should we expect?
Athletico Marseille score 2.1 and concede 1.0 goals per match over their last 15; Gallia Lucciana score 1.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Athletico Marseille | 2.1 | 1.0 | 7 | 6/15 | 8/15 |
| Gallia Lucciana | 1.9 | 1.4 | 3 | 7/10 | 6/10 |
Over the last 15 matches in all competitions.
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