Wasquehal vs Besançon: result 0-1 and analysis
National 2 - Group BGroup B - 24Kick-off on April 14, 2023 at 06:00 PM (UTC)Complexe Sportif Lucien Montagne, Wasquehal
Full time
What was the result of Wasquehal vs Besançon?
Besançon won 0-1 on April 14, 2023.
Goalscorers
- 49′M. BléBesançon
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wasquehal have 8 wins, 1 draws and 6 defeats; Besançon have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Olympique St Quentin(away) | 2-1 | National 2 - Group B |
| Mar 25, 2023 | Fleury 91(home) | 1-2 | National 2 - Group B |
| Mar 18, 2023 | Colmar(home) | 3-1 | National 2 - Group B |
| Mar 4, 2023 | Epinal(away) | 1-3 | National 2 - Group B |
| Feb 25, 2023 | Furiani-Agliani(home) | 4-2 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Pontarlier(away) | 0-2 | National 3 - Group E |
| Apr 1, 2023 | Colmar(home) | 0-0 | National 2 - Group B |
| Mar 25, 2023 | Sochaux II(home) | 1-1 | National 3 - Group E |
| Mar 25, 2023 | Epinal(away) | 0-0 | National 2 - Group B |
| Mar 18, 2023 | Gueugnon(away) | 0-1 | National 3 - Group E |
What does the head-to-head say?
Across the last 1 meetings: 0 Wasquehal win(s), 1 draw(s), 0 Besançon win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 12, 2022 | Besançon 1-1 Wasquehal | National 2 - Group B |
Last archived meeting: Besançon vs Wasquehal on Nov 12, 2022
How many goals should we expect?
Wasquehal score 1.7 and concede 1.7 goals per match over their last 15; Besançon score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wasquehal | 1.7 | 1.7 | 1 | 12/15 | 12/15 |
| Besançon | 1.1 | 0.7 | 7 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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