Fleury 91 vs St Maur Lusitanos: result 1-0 and analysis
National 2 - Group BRegular Season - 24Kick-off on March 25, 2017 at 05:00 PM (UTC)Parc des Sports Léo Lagrange, Sainte-Geneviève-des-Bois
Full time
What was the result of Fleury 91 vs St Maur Lusitanos?
Fleury 91 won 1-0 on March 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fleury 91 have 9 wins, 2 draws and 4 defeats; St Maur Lusitanos have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 22, 2017 | Boulogne-Billancourt(home) | 2-0 | National 2 - Group B |
| Mar 18, 2017 | Viry Châtillon(away) | 0-2 | National 2 - Group B |
| Mar 11, 2017 | Le Havre II(home) | 0-1 | National 2 - Group B |
| Mar 4, 2017 | Calais(away) | 2-0 | National 2 - Group B |
| Feb 25, 2017 | Lille II(home) | 2-1 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2017 | Lille II(home) | 1-1 | National 2 - Group B |
| Mar 11, 2017 | Croix Football IC(away) | 2-1 | National 2 - Group B |
| Mar 4, 2017 | Amiens AC(home) | 1-1 | National 2 - Group B |
| Feb 25, 2017 | Arras(away) | 0-0 | National 2 - Group B |
| Feb 18, 2017 | Poissy(away) | 1-0 | National 2 - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Fleury 91 win(s), 1 draw(s), 0 St Maur Lusitanos win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2016 | St Maur Lusitanos 0-0 Fleury 91 | National 2 - Group B |
Last archived meeting: St Maur Lusitanos vs Fleury 91 on Nov 5, 2016
How many goals should we expect?
Fleury 91 score 1.5 and concede 0.7 goals per match over their last 15; St Maur Lusitanos score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fleury 91 | 1.5 | 0.7 | 7 | 5/15 | 4/15 |
| St Maur Lusitanos | 1.3 | 0.5 | 10 | 5/15 | 5/15 |
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