Marseille Endoume vs Furiani-Agliani: result 3-3 and analysis
National 3 - Group DCorse-Méditerranée - 2Kick-off on September 5, 2020 at 04:00 PM (UTC)Stade Roger Lebert, Marseille
Full time
What was the result of Marseille Endoume vs Furiani-Agliani?
Marseille Endoume and Furiani-Agliani drew 3-3 on September 5, 2020.
Goalscorers
- 33′Julien RomainFuriani-Agliani (pen.)
- 40′Fabrice ApruzesseMarseille Endoume
- 45′Yannick YobouetMarseille Endoume
- 62′F. LopesFuriani-Agliani
- 81′David StorkMarseille Endoume
- 88′Julien RomainFuriani-Agliani (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marseille Endoume have 2 wins, 4 draws and 9 defeats; Furiani-Agliani have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2020 | Nîmes II(away) | 0-0 | National 2 - Group D |
| Feb 22, 2020 | Annecy(home) | 3-3 | National 2 - Group D |
| Feb 15, 2020 | Hyères(away) | 0-3 | National 2 - Group D |
| Feb 8, 2020 | Olympique Marseille II(home) | 3-0 | National 2 - Group D |
| Jan 25, 2020 | Olympique Lyonnais II(away) | 0-2 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 30, 2020 | Rousset-Ste Victoire(home) | 1-0 | National 3 - Group D |
| Mar 7, 2020 | Athletico Marseille(home) | 1-0 | National 3 - Group D |
| Feb 29, 2020 | Aubagne(away) | 0-0 | National 3 - Group D |
| Feb 15, 2020 | Nice II(home) | 2-0 | National 3 - Group D |
| Feb 8, 2020 | Cannes(home) | 0-2 | National 3 - Group D |
How many goals should we expect?
Marseille Endoume score 1.0 and concede 1.7 goals per match over their last 15; Furiani-Agliani score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marseille Endoume | 1.0 | 1.7 | 3 | 7/15 | 8/15 |
| Furiani-Agliani | 0.9 | 1.1 | 6 | 6/15 | 4/15 |
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