St Maur Lusitanos vs Dieppe: result 3-0 and analysis
National 2 - Group BRegular Season - 12Kick-off on November 26, 2016 at 05:00 PM (UTC)Stade Adolphe-Chéron, Saint-Maur-des-Fossés
Full time
What was the result of St Maur Lusitanos vs Dieppe?
St Maur Lusitanos won 3-0 on November 26, 2016.
Goalscorers
- 22′Kévin DiazSt Maur Lusitanos
- 82′251528St Maur Lusitanos
- 85′S. AyiSt Maur Lusitanos
What is the recent form of both teams?
Over their last 15 matches in all competitions, St Maur Lusitanos have 9 wins, 4 draws and 2 defeats; Dieppe 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 |
|---|---|---|---|
| Nov 19, 2016 | Entente S St Gratien(away) | 1-0 | National 2 - Group B |
| Nov 5, 2016 | Fleury 91(home) | 0-0 | National 2 - Group B |
| Oct 29, 2016 | Lille II(away) | 0-0 | National 2 - Group B |
| Oct 15, 2016 | Croix Football IC(home) | 1-0 | National 2 - Group B |
| Oct 1, 2016 | Amiens AC(away) | 1-0 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Le Havre II(away) | 0-4 | National 2 - Group B |
| Oct 29, 2016 | Calais(home) | 1-1 | National 2 - Group B |
| Oct 15, 2016 | Wasquehal(away) | 0-0 | National 2 - Group B |
| Oct 1, 2016 | Entente S St Gratien(away) | 0-2 | National 2 - Group B |
| Sep 17, 2016 | Fleury 91(home) | 2-1 | National 2 - Group B |
How many goals should we expect?
St Maur Lusitanos score 1.4 and concede 0.8 goals per match over their last 15; Dieppe score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| St Maur Lusitanos | 1.4 | 0.8 | 8 | 7/15 | 6/15 |
| Dieppe | 0.9 | 1.3 | 5 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Dieppe | 30 | 11 | 8 | 11 | 31 | 36 | 41 |
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