Chauvigny vs Bayonne: result 2-0 and analysis
National 3 - Group ANouvelle-Aquitaine - 2Kick-off on September 4, 2021 at 04:00 PM (UTC)Stade Gilbert Arnault, Chauvigny
Full time
What was the result of Chauvigny vs Bayonne?
Chauvigny won 2-0 on September 4, 2021.
Goalscorers
- 25′A. RamdaneChauvigny
- 90′B. ChevrierChauvigny
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chauvigny have 3 wins, 7 draws and 5 defeats; Bayonne have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Bressuire(away) | 1-1 | National 3 - Group A |
| Oct 10, 2020 | Niort II(home) | 0-0 | National 3 - Group A |
| Sep 26, 2020 | Bayonne(away) | 0-4 | National 3 - Group A |
| Sep 12, 2020 | CA Neuville(home) | 2-2 | National 3 - Group A |
| Sep 5, 2020 | Libourne(away) | 1-2 | National 3 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Lège-Cap-Ferret(home) | 1-0 | National 3 - Group A |
| Feb 14, 2021 | Lège-Cap-Ferret(away) | 0-1 | Coupe de France |
| Feb 7, 2021 | Saint-Laurent Billère(away) | 1-0 | Coupe de France |
| Oct 10, 2020 | Poitiers(away) | 0-2 | National 3 - Group A |
| Sep 26, 2020 | Chauvigny(home) | 4-0 | National 3 - Group A |
What does the head-to-head say?
Across the last 1 meetings: 0 Chauvigny win(s), 0 draw(s), 1 Bayonne win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2020 | Bayonne 4-0 Chauvigny | National 3 - Group A |
How many goals should we expect?
Chauvigny score 1.2 and concede 1.5 goals per match over their last 15; Bayonne score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chauvigny | 1.2 | 1.5 | 3 | 9/15 | 8/15 |
| Bayonne | 0.9 | 0.9 | 6 | 3/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Bayonne | 26 | 16 | 8 | 2 | 49 | 17 | 56 |
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