Bobigny vs Wasquehal: result 0-1 and analysis
National 2 - Group BGroup B - 16Kick-off on January 21, 2023 at 05:00 PM (UTC)Stade Auguste Delaune, Bobigny
Full time
What was the result of Bobigny vs Wasquehal?
Wasquehal won 0-1 on January 21, 2023.
Goalscorers
- 45′A. MajidWasquehal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bobigny have 10 wins, 3 draws and 2 defeats; Wasquehal have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2023 | Epinal(away) | 4-1 | National 2 - Group B |
| Jan 7, 2023 | Haguenau(home) | 2-0 | National 2 - Group B |
| Dec 17, 2022 | Furiani-Agliani(home) | 1-0 | National 2 - Group B |
| Dec 10, 2022 | Sainte Geneviève(away) | 2-1 | National 2 - Group B |
| Dec 3, 2022 | St Maur Lusitanos(home) | 2-0 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2023 | Pays de Cassel(away) | 1-1 | Coupe de France |
| Jan 7, 2023 | Colmar(away) | 1-3 | National 2 - Group B |
| Dec 10, 2022 | Haguenau(home) | 2-1 | National 2 - Group B |
| Dec 2, 2022 | Boulogne(away) | 0-1 | National 2 - Group B |
| Nov 26, 2022 | Creteil(home) | 0-3 | National 2 - Group B |
What does the head-to-head say?
Across the last 1 meetings: 0 Bobigny win(s), 0 draw(s), 1 Wasquehal win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2022 | Wasquehal 2-1 Bobigny | National 2 - Group B |
How many goals should we expect?
Bobigny score 2.2 and concede 0.7 goals per match over their last 15; Wasquehal score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bobigny | 2.2 | 0.7 | 7 | 7/15 | 9/15 |
| Wasquehal | 1.3 | 1.9 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Wasquehal | 30 | 10 | 4 | 16 | 28 | 44 | 34 |
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