Ostiches vs Albert Quévy-Mons: result 2-3 and analysis
Third Amateur Division - ACFF AACFF A - 8Kick-off on October 17, 2021 at 01:00 PM (UTC)Stade des Géants, Ath
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What was the result of Ostiches vs Albert Quévy-Mons?
Albert Quévy-Mons won 2-3 on October 17, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ostiches have 4 wins, 2 draws and 9 defeats; Albert Quévy-Mons have 7, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Aische(away) | 1-3 | Third Amateur Division - ACFF A |
| Oct 3, 2021 | Jeunesse Tamines(home) | 2-1 | Third Amateur Division - ACFF A |
| Sep 25, 2021 | Tournai(away) | 1-2 | Third Amateur Division - ACFF A |
| Sep 19, 2021 | SG-Tertre-Hautrage(home) | 0-1 | Third Amateur Division - ACFF A |
| Sep 11, 2021 | Union Namur(away) | 2-1 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | Stockel(home) | 3-1 | Third Amateur Division - ACFF A |
| Oct 3, 2021 | Crossing Schaerbeek(away) | 5-1 | Third Amateur Division - ACFF A |
| Sep 25, 2021 | Braine(home) | 6-1 | Third Amateur Division - ACFF A |
| Sep 11, 2021 | Aische(away) | 0-3 | Third Amateur Division - ACFF A |
| Sep 4, 2021 | Jeunesse Tamines(home) | 2-0 | Third Amateur Division - ACFF A |
How many goals should we expect?
Ostiches score 1.3 and concede 1.7 goals per match over their last 15; Albert Quévy-Mons score 2.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ostiches | 1.3 | 1.7 | 3 | 9/15 | 10/15 |
| Albert Quévy-Mons | 2.3 | 2.3 | 3 | 8/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Ostiches | 30 | 17 | 9 | 4 | 59 | 24 | 60 |
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