Feignies-Aulnoye vs Bobigny: result 4-1 and analysis
National 2 - Group DRegular Season - 13Kick-off on December 1, 2018 at 05:00 PM (UTC)Stade Didier Eloy, Feignies
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What was the result of Feignies-Aulnoye vs Bobigny?
Feignies-Aulnoye won 4-1 on December 1, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Feignies-Aulnoye have 3 wins, 5 draws and 7 defeats; Bobigny have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2018 | Arras(away) | 1-1 | National 2 - Group D |
| Nov 10, 2018 | Reims II(home) | 1-0 | National 2 - Group D |
| Nov 3, 2018 | Fleury 91(away) | 2-2 | National 2 - Group D |
| Oct 20, 2018 | Haguenau(home) | 1-1 | National 2 - Group D |
| Oct 6, 2018 | Lille II(away) | 0-3 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 20, 2018 | Sainte Geneviève(away) | 0-3 | National 2 - Group D |
| Oct 6, 2018 | Schiltigheim(home) | 1-4 | National 2 - Group D |
How many goals should we expect?
Feignies-Aulnoye score 1.4 and concede 1.3 goals per match over their last 15; Bobigny score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feignies-Aulnoye | 1.4 | 1.3 | 3 | 8/15 | 7/15 |
| Bobigny | 0.9 | 1.5 | 3 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Feignies-Aulnoye sit 8th in National 2 - Group D (34 points from 26 matches) and Bobigny sit 4th (42 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bobigny | 26 | 10 | 12 | 4 | 39 | 30 | 42 |
| 8 | Feignies-Aulnoye | 26 | 9 | 7 | 10 | 28 | 32 | 34 |
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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