Bassin d'Arcachon Sud vs Châtellerault: result 0-1 and analysis
National 3 - Group AGroup A - 10Kick-off on November 23, 2019 at 06:00 PM (UTC)Stade Jean Brousse, Arcachon
Full time
What was the result of Bassin d'Arcachon Sud vs Châtellerault?
Châtellerault won 0-1 on November 23, 2019.
Goalscorers
- 8′K. VergerolleChâtellerault
What is the recent form of both teams?
Over their last 10 matches in all competitions, Bassin d'Arcachon Sud have 1 wins, 2 draws and 7 defeats; Châtellerault have 2, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2019 | Poitiers(away) | 1-4 | National 3 - Group A |
| Nov 2, 2019 | Aviron Bayonnais(home) | 1-4 | National 3 - Group A |
| Oct 19, 2019 | Bordeaux II(away) | 2-1 | National 3 - Group A |
| Oct 5, 2019 | Niort II(home) | 1-3 | National 3 - Group A |
| Sep 21, 2019 | Bressuire(away) | 0-3 | National 3 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Pau II(away) | 1-1 | National 3 - Group A |
| Oct 19, 2019 | Lège-Cap-Ferret(home) | 0-3 | National 3 - Group A |
| Oct 6, 2019 | Mérignac-Arlac(away) | 1-2 | National 3 - Group A |
| Sep 21, 2019 | Poitiers(away) | 1-3 | National 3 - Group A |
| Sep 7, 2019 | Aviron Bayonnais(home) | 2-0 | National 3 - Group A |
How many goals should we expect?
Bassin d'Arcachon Sud score 1.2 and concede 2.5 goals per match over their last 10; Châtellerault score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bassin d'Arcachon Sud | 1.2 | 2.5 | 0 | 9/10 | 10/10 |
| Châtellerault | 1.2 | 1.9 | 2 | 4/9 | 5/9 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Bassin d'Arcachon Sud | 26 | 9 | 9 | 8 | 38 | 36 | 36 |
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