Bobigny vs Biesheim: result 3-0 and analysis
National 2 - Group DGroup D - 2Kick-off on September 2, 2023 at 04:00 PM (UTC)Stade Auguste Delaune, Bobigny
Full time
What was the result of Bobigny vs Biesheim?
Bobigny won 3-0 on September 2, 2023.
Goalscorers
- 66′F. BeziouenBobigny
- 68′C. CostesBobigny
- 90′A. HachemBobigny
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bobigny have 7 wins, 2 draws and 6 defeats; Biesheim have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2023 | Feignies-Aulnoye(away) | 1-1 | National 2 - Group D |
| Jun 3, 2023 | Colmar(away) | 1-4 | National 2 - Group B |
| May 27, 2023 | Epinal(home) | 2-3 | National 2 - Group B |
| May 12, 2023 | Furiani-Agliani(away) | 1-2 | National 2 - Group B |
| May 6, 2023 | Sainte Geneviève(home) | 5-0 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2023 | Racing Besançon(home) | 1-0 | National 2 - Group D |
| Aug 5, 2023 | Epinal(away) | 1-0 | Friendlies Clubs |
| Jun 3, 2023 | Troyes II(away) | 1-2 | National 3 - Group F |
| May 27, 2023 | Sarre Union(home) | 1-1 | National 3 - Group F |
| May 21, 2023 | Épernay(away) | 6-1 | National 3 - Group F |
How many goals should we expect?
Bobigny score 1.8 and concede 1.7 goals per match over their last 15; Biesheim score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bobigny | 1.8 | 1.7 | 3 | 11/15 | 11/15 |
| Biesheim | 1.7 | 0.7 | 6 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Bobigny sit 4th in National 2 - Group D (42 points from 26 matches) and Biesheim sit 6th (35 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bobigny | 26 | 10 | 12 | 4 | 39 | 30 | 42 |
| 6 | Biesheim | 26 | 9 | 8 | 9 | 29 | 34 | 35 |
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