Dieppe vs Biesheim: result 1-2 and analysis
National 2 - Group BGroup B - 2Kick-off on August 23, 2025 at 04:00 PM (UTC)Stade Jean Dasnias, Saint-Aubin-sur-Scie
Full time
What was the result of Dieppe vs Biesheim?
Biesheim won 1-2 on August 23, 2025.
Goalscorers
- 19′A. ReppertBiesheim
- 25′E. BeuvainDieppe
- 61′A. ReppertBiesheim
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dieppe have 11 wins, 3 draws and 1 defeats; Biesheim have 1, 6 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2025 | Blois(away) | 1-0 | National 2 - Group B |
| May 17, 2025 | Croix Football IC(home) | 1-1 | National 3 - Group E |
| May 10, 2025 | Lille II(away) | 4-3 | National 3 - Group E |
| Apr 26, 2025 | Olympique St Quentin(home) | 3-3 | National 3 - Group E |
| Apr 19, 2025 | Lens II(away) | 2-0 | National 3 - Group E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 16, 2025 | Beauvais(home) | 1-1 | National 2 - Group B |
| Aug 1, 2025 | Dijon(away) | 1-3 | Friendlies Clubs |
| Jul 19, 2025 | Sochaux(home) | 1-3 | Friendlies Clubs |
| May 17, 2025 | Chantilly(away) | 3-3 | National 2 - Group C |
| May 10, 2025 | Feignies-Aulnoye(home) | 1-2 | National 2 - Group C |
How many goals should we expect?
Dieppe score 2.8 and concede 1.1 goals per match over their last 15; Biesheim score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dieppe | 2.8 | 1.1 | 3 | 12/15 | 10/15 |
| Biesheim | 1.0 | 1.6 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dieppe sit 7th in National 2 - Group B (41 points from 30 matches) and Biesheim sit 10th (39 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Dieppe | 30 | 11 | 8 | 11 | 31 | 36 | 41 |
| 10 | Biesheim | 30 | 10 | 10 | 10 | 31 | 37 | 39 |
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