Boulogne vs St Maur Lusitanos: result 1-0 and analysis
National 2 - Group BGroup B - 21Kick-off on March 17, 2023 at 06:30 PM (UTC)Stade de la Libération, Boulogne-sur-Mer
Full time
What was the result of Boulogne vs St Maur Lusitanos?
Boulogne won 1-0 on March 17, 2023.
Goalscorers
- 56′M. DialloBoulogne
What is the recent form of both teams?
Over their last 15 matches in all competitions, Boulogne have 4 wins, 3 draws and 8 defeats; St Maur Lusitanos have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2023 | Bobigny(away) | 2-3 | National 2 - Group B |
| Feb 25, 2023 | Belfort(home) | 1-0 | National 2 - Group B |
| Feb 11, 2023 | Metz II(away) | 3-2 | National 2 - Group B |
| Feb 3, 2023 | Reims II(home) | 1-2 | National 2 - Group B |
| Jan 21, 2023 | Haguenau(away) | 0-1 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2023 | Creteil(home) | 1-1 | National 2 - Group B |
| Feb 25, 2023 | Besançon(away) | 0-0 | National 2 - Group B |
| Feb 11, 2023 | Olympique St Quentin(home) | 1-1 | National 2 - Group B |
| Feb 4, 2023 | Wasquehal(away) | 3-1 | National 2 - Group B |
| Jan 21, 2023 | Colmar(home) | 1-1 | National 2 - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Boulogne win(s), 0 draw(s), 1 St Maur Lusitanos win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2022 | St Maur Lusitanos 2-1 Boulogne | National 2 - Group B |
Last archived meeting: St Maur Lusitanos vs Boulogne on Nov 19, 2022
How many goals should we expect?
Boulogne score 1.2 and concede 1.4 goals per match over their last 15; St Maur Lusitanos score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Boulogne | 1.2 | 1.4 | 2 | 10/15 | 8/15 |
| St Maur Lusitanos | 0.9 | 1.2 | 4 | 7/15 | 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