Bobigny vs St Maur Lusitanos: result 1-1 and analysis
National 2 - Group DRegular Season - 14Kick-off on December 15, 2018 at 05:00 PM (UTC)Stade Auguste Delaune, Bobigny
Full time
What was the result of Bobigny vs St Maur Lusitanos?
Bobigny and St Maur Lusitanos drew 1-1 on December 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bobigny have 3 wins, 3 draws and 9 defeats; St Maur Lusitanos have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2018 | Clermont Foot(home) | 0-2 | Coupe de France |
| Dec 1, 2018 | Feignies-Aulnoye(away) | 1-4 | National 2 - Group D |
| Nov 25, 2018 | Lens II(home) | 2-1 | National 2 - Group D |
| Nov 17, 2018 | Magenta(away) | 1-0 | Coupe de France |
| Nov 3, 2018 | Belfort(home) | 1-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2018 | Raon l'Etape(away) | 4-4 | Coupe de France |
| Dec 1, 2018 | Arras(home) | 4-2 | National 2 - Group D |
| Nov 24, 2018 | Reims II(away) | 1-2 | National 2 - Group D |
| Nov 17, 2018 | Drancy(home) | 1-0 | Coupe de France |
| Nov 10, 2018 | Fleury 91(home) | 3-3 | National 2 - Group D |
How many goals should we expect?
Bobigny score 0.9 and concede 1.7 goals per match over their last 15; St Maur Lusitanos score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bobigny | 0.9 | 1.7 | 2 | 8/15 | 8/15 |
| St Maur Lusitanos | 1.7 | 1.9 | 2 | 12/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 4 | Bobigny | 26 | 10 | 12 | 4 | 39 | 30 | 42 |
A question about Bobigny vs St Maur Lusitanos?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy