Gallia Lucciana vs Athletico Marseille: prediction and stats
National 3 - Group DCorse-Méditerranée - 2Kick-off on October 14, 2020 at 01:00 PM (UTC)Stade Charles Galletti, Lucciana
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gallia Lucciana have 6 wins, 4 draws and 5 defeats; Athletico Marseille have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Istres(away) | 0-0 | National 3 - Group D |
| Sep 26, 2020 | Cannet Rocheville(home) | 3-0 | National 3 - Group D |
| Sep 12, 2020 | Furiani-Agliani(away) | 1-2 | National 3 - Group D |
| Aug 30, 2020 | Mandelieu LN(away) | 0-0 | National 3 - Group D |
| Mar 8, 2020 | Ardziv(away) | 1-4 | National 3 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2020 | Côte Bleue(home) | 2-2 | National 3 - Group D |
| Sep 30, 2020 | Marseille Endoume(home) | 6-0 | National 3 - Group D |
| Sep 27, 2020 | Corte(away) | 3-1 | National 3 - Group D |
| Sep 12, 2020 | Cannes(home) | 1-2 | National 3 - Group D |
| Mar 7, 2020 | Furiani-Agliani(away) | 0-1 | National 3 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Gallia Lucciana win(s), 0 draw(s), 1 Athletico Marseille win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2019 | Athletico Marseille 4-3 Gallia Lucciana | National 3 - Group D |
Last archived meeting: Athletico Marseille vs Gallia Lucciana on Nov 30, 2019
How many goals should we expect?
Gallia Lucciana score 1.9 and concede 1.4 goals per match over their last 15; Athletico Marseille score 2.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gallia Lucciana | 1.9 | 1.4 | 6 | 8/15 | 9/15 |
| Athletico Marseille | 2.2 | 1.3 | 4 | 9/15 | 11/15 |
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