Albert Quévy-Mons vs Couvin-Mariembourg: result 2-1 and analysis
Third Amateur Division - ACFF AACFF A - 10Kick-off on October 30, 2022 at 02:00 PM (UTC)Stade Charles Tondreau, Mons
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What was the result of Albert Quévy-Mons vs Couvin-Mariembourg?
Albert Quévy-Mons won 2-1 on October 30, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Albert Quévy-Mons have 7 wins, 3 draws and 5 defeats; Couvin-Mariembourg have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Onhaye(away) | 2-1 | Third Amateur Division - ACFF A |
| Oct 15, 2022 | SG-Tertre-Hautrage(home) | 2-0 | Third Amateur Division - ACFF A |
| Oct 8, 2022 | Tournai(away) | 3-0 | Third Amateur Division - ACFF A |
| Oct 2, 2022 | Entité Manageoise(away) | 0-1 | Third Amateur Division - ACFF A |
| Sep 24, 2022 | Braine(home) | 1-0 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2022 | Entité Manageoise(home) | 0-1 | Third Amateur Division - ACFF A |
| Oct 16, 2022 | Braine(away) | 2-2 | Third Amateur Division - ACFF A |
| Oct 9, 2022 | RAS Monceau(home) | 1-0 | Third Amateur Division - ACFF A |
| Oct 2, 2022 | Jeunesse Tamines(away) | 0-2 | Third Amateur Division - ACFF A |
| Sep 24, 2022 | Jodoigne(home) | 0-0 | Third Amateur Division - ACFF A |
How many goals should we expect?
Albert Quévy-Mons score 1.9 and concede 1.3 goals per match over their last 15; Couvin-Mariembourg score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Albert Quévy-Mons | 1.9 | 1.3 | 5 | 7/15 | 9/15 |
| Couvin-Mariembourg | 1.0 | 1.5 | 5 | 4/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Couvin-Mariembourg | 30 | 0 | 0 | 30 | 17 | 170 | 0 |
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