Chauray vs Bayonne: result 0-1 and analysis
National 2 - Group AGroup A - 20Kick-off on March 6, 2026 at 06:30 PM (UTC)Stade Municipal, Chauray
Full time
What was the result of Chauray vs Bayonne?
Bayonne won 0-1 on March 6, 2026.
Goalscorers
- 39′A. SaintorensBayonne
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chauray have 4 wins, 3 draws and 8 defeats; Bayonne have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2026 | Montlouis(away) | 0-0 | National 2 - Group A |
| Feb 14, 2026 | Dinan Léhon(home) | 0-1 | National 2 - Group A |
| Feb 7, 2026 | Lorient II(away) | 0-1 | National 2 - Group A |
| Jan 31, 2026 | Poitiers(away) | 2-1 | National 2 - Group A |
| Jan 24, 2026 | Saint-Colomban Locminé(home) | 0-1 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2026 | Angoulême(home) | 5-0 | National 2 - Group A |
| Jan 31, 2026 | Saint-Malo(away) | 0-2 | National 2 - Group A |
| Jan 17, 2026 | Châteaubriant(home) | 2-0 | National 2 - Group A |
| Jan 10, 2026 | Bordeaux(away) | 0-1 | National 2 - Group A |
| Dec 12, 2025 | Avranches(home) | 2-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 Chauray win(s), 0 draw(s), 1 Bayonne win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2025 | Bayonne 2-0 Chauray | National 2 - Group A |
How many goals should we expect?
Chauray score 0.9 and concede 1.3 goals per match over their last 15; Bayonne score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chauray | 0.9 | 1.3 | 3 | 6/15 | 6/15 |
| Bayonne | 1.5 | 1.1 | 4 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Chauray sit 9th in National 2 - Group A (38 points from 30 matches) and Bayonne sit 3rd (55 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Bayonne | 30 | 17 | 4 | 9 | 42 | 27 | 55 |
| 9 | Chauray | 30 | 11 | 5 | 14 | 35 | 38 | 38 |
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