Grasse vs Bergerac: result 2-0 and analysis
National 2 - Group AGroup A - 11Kick-off on November 23, 2024 at 05:00 PM (UTC)Stades de la Paoute, Grasse
Full time
What was the result of Grasse vs Bergerac?
Grasse won 2-0 on November 23, 2024.
Goalscorers
- 4′A. N'TamackGrasse
- 89′Thomas Mady Chris TouréGrasse
What is the recent form of both teams?
Over their last 15 matches in all competitions, Grasse have 8 wins, 4 draws and 3 defeats; Bergerac have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2024 | Marignane(away) | 0-2 | National 2 - Group A |
| Nov 2, 2024 | Istres(home) | 2-0 | National 2 - Group A |
| Oct 19, 2024 | Jura Sud Foot(away) | 3-3 | National 2 - Group A |
| Oct 5, 2024 | Chasselay MDA(home) | 2-0 | National 2 - Group A |
| Sep 21, 2024 | Le Puy Foot(away) | 0-0 | National 2 - Group A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2024 | Istres(home) | 3-0 | National 2 - Group A |
| Nov 1, 2024 | Chasselay MDA(away) | 1-3 | National 2 - Group A |
| Oct 19, 2024 | Fréjus St-Raphaël(home) | 0-1 | National 2 - Group A |
| Oct 4, 2024 | Angoulême(away) | 2-4 | National 2 - Group A |
| Sep 21, 2024 | Hyères(home) | 2-1 | National 2 - Group A |
What does the head-to-head say?
Across the last 2 meetings: 0 Grasse win(s), 1 draw(s), 1 Bergerac win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 24, 2018 | Bergerac 1-0 Grasse | National 2 - Group A |
| Nov 4, 2017 | Grasse 1-1 Bergerac | National 2 - Group A |
How many goals should we expect?
Grasse score 1.7 and concede 1.0 goals per match over their last 15; Bergerac score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Grasse | 1.7 | 1.0 | 7 | 7/15 | 8/15 |
| Bergerac | 1.5 | 1.4 | 4 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
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