La Roche VF vs Bayonne: result 1-0 and analysis
National 2 - Group AGroup A - 5Kick-off on September 12, 2025 at 05:00 PM (UTC)Stade Henri Desgrange, La Roche-sur-Yon
Full time
What was the result of La Roche VF vs Bayonne?
La Roche VF won 1-0 on September 12, 2025.
Goalscorers
- 90′Alexis AraújoLa Roche VF
What is the recent form of both teams?
Over their last 15 matches in all competitions, La Roche VF have 11 wins, 3 draws and 1 defeats; Bayonne 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 |
|---|---|---|---|
| Sep 6, 2025 | Montlouis(away) | 4-1 | National 2 - Group A |
| Aug 30, 2025 | Dinan Léhon(home) | 4-1 | National 2 - Group A |
| Aug 23, 2025 | Lorient II(away) | 2-0 | National 2 - Group A |
| Aug 16, 2025 | Saint-Colomban Locminé(home) | 3-3 | National 2 - Group A |
| May 17, 2025 | Blois(home) | 1-0 | National 2 - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2025 | Poitiers(home) | 1-1 | National 2 - Group A |
| Aug 28, 2025 | Angoulême(away) | 0-1 | National 2 - Group A |
| Aug 22, 2025 | Saint-Malo(home) | 1-1 | National 2 - Group A |
| Aug 16, 2025 | Saumur(away) | 1-0 | National 2 - Group A |
| May 17, 2025 | Toulouse II(home) | 3-1 | National 3 - Group A |
How many goals should we expect?
La Roche VF score 2.2 and concede 0.7 goals per match over their last 15; Bayonne score 1.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| La Roche VF | 2.2 | 0.7 | 8 | 6/15 | 9/15 |
| Bayonne | 1.6 | 0.8 | 5 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
La Roche VF sit 1st in National 2 - Group A (65 points from 30 matches) and Bayonne sit 3rd (55 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | La Roche VF | 30 | 19 | 8 | 3 | 61 | 27 | 65 |
| 3 | Bayonne | 30 | 17 | 4 | 9 | 42 | 27 | 55 |
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