Onhaye vs Albert Quévy-Mons: result 1-2 and analysis
Third Amateur Division - ACFF AACFF A - 9Kick-off on October 22, 2022 at 06:00 PM (UTC)Terrain de Onhaye, Onhaye
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What was the result of Onhaye vs Albert Quévy-Mons?
Albert Quévy-Mons won 1-2 on October 22, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Onhaye have 8 wins, 3 draws and 4 defeats; Albert Quévy-Mons have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Entité Manageoise(away) | 1-1 | Third Amateur Division - ACFF A |
| Oct 8, 2022 | Braine(home) | 3-0 | Third Amateur Division - ACFF A |
| Oct 2, 2022 | RAS Monceau(away) | 4-1 | Third Amateur Division - ACFF A |
| Sep 24, 2022 | Jeunesse Tamines(home) | 3-0 | Third Amateur Division - ACFF A |
| Sep 18, 2022 | Jodoigne(away) | 1-2 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 18, 2022 | RAS Monceau(away) | 2-3 | Third Amateur Division - ACFF A |
How many goals should we expect?
Onhaye score 2.0 and concede 1.1 goals per match over their last 15; Albert Quévy-Mons score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Onhaye | 2.0 | 1.1 | 3 | 11/15 | 10/15 |
| Albert Quévy-Mons | 1.7 | 1.2 | 6 | 6/15 | 8/15 |
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 | Onhaye | 30 | 22 | 6 | 2 | 70 | 17 | 72 |
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