Flénu vs Couvin-Mariembourg: result 7-0 and analysis
Third Amateur Division - ACFF AACFF A - 9Kick-off on October 22, 2023 at 12:00 PM (UTC)Terrain Rue des Produits, Flénu
Full time
What was the result of Flénu vs Couvin-Mariembourg?
Flénu won 7-0 on October 22, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Flénu have 7 wins, 1 draws and 7 defeats; Couvin-Mariembourg have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | Entité Manageoise(away) | 1-2 | Third Amateur Division - ACFF A |
| Oct 7, 2023 | Aische(away) | 1-0 | Third Amateur Division - ACFF A |
| Oct 1, 2023 | Crossing Schaerbeek(home) | 0-0 | Third Amateur Division - ACFF A |
| Sep 24, 2023 | Jeunesse Tamines(away) | 0-5 | Third Amateur Division - ACFF A |
| Sep 17, 2023 | Arquet(home) | 1-0 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2023 | Perwez(home) | 1-3 | Third Amateur Division - ACFF A |
| Oct 8, 2023 | Jeunesse Tamines(away) | 1-5 | Third Amateur Division - ACFF A |
| Oct 1, 2023 | Aische(home) | 1-7 | Third Amateur Division - ACFF A |
| Sep 24, 2023 | Jodoigne(away) | 1-5 | Third Amateur Division - ACFF A |
| Sep 17, 2023 | RAS Monceau(home) | 1-5 | Third Amateur Division - ACFF A |
How many goals should we expect?
Flénu score 1.5 and concede 1.7 goals per match over their last 15; Couvin-Mariembourg score 1.3 and concede 3.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Flénu | 1.5 | 1.7 | 5 | 8/15 | 10/15 |
| Couvin-Mariembourg | 1.3 | 3.9 | 1 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Flénu | 26 | 16 | 4 | 6 | 65 | 32 | 52 |
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