St Maur Lusitanos vs Bastia: result 2-1 and analysis
National 2 - Group AGroup A - 9Kick-off on October 19, 2019 at 01:00 PM (UTC)Stade Adolphe-Chéron, Saint-Maur-des-Fossés
Full time
What was the result of St Maur Lusitanos vs Bastia?
St Maur Lusitanos won 2-1 on October 19, 2019.
Goalscorers
- 56′Valter ViegasSt Maur Lusitanos
- 74′M. DiongueBastia (pen.)
- 90′P. KleischSt Maur Lusitanos
What is the recent form of both teams?
Over their last 15 matches in all competitions, St Maur Lusitanos have 8 wins, 3 draws and 4 defeats; Bastia have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Belfort(away) | 1-2 | National 2 - Group A |
| Sep 21, 2019 | Sedan(home) | 0-1 | National 2 - Group A |
| Sep 14, 2019 | Haguenau(away) | 2-2 | National 2 - Group A |
| Sep 7, 2019 | Lille II(home) | 2-1 | National 2 - Group A |
| Aug 31, 2019 | Mulhouse(away) | 1-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Sainte Geneviève(home) | 1-0 | National 2 - Group A |
| Sep 21, 2019 | Drancy(home) | 4-1 | National 2 - Group A |
| Sep 14, 2019 | Belfort(away) | 1-0 | National 2 - Group A |
| Sep 7, 2019 | Sedan(home) | 0-1 | National 2 - Group A |
| Aug 31, 2019 | Haguenau(away) | 3-2 | National 2 - Group A |
How many goals should we expect?
St Maur Lusitanos score 1.7 and concede 1.0 goals per match over their last 15; Bastia score 2.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| St Maur Lusitanos | 1.7 | 1.0 | 5 | 9/15 | 8/15 |
| Bastia | 2.1 | 1.1 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | St Maur Lusitanos | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
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