Aywaille vs US Givry: result 7-2 and analysis
Third Amateur Division - ACFF BACFF B - 9Kick-off on October 23, 2022 at 01:00 PM (UTC)Stade de la Porallée, Aywaille
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What was the result of Aywaille vs US Givry?
Aywaille won 7-2 on October 23, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aywaille have 4 wins, 5 draws and 6 defeats; US Givry have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | La Calamine(away) | 0-0 | Third Amateur Division - ACFF B |
| Oct 9, 2022 | Wallonne Ciney(home) | 1-2 | Third Amateur Division - ACFF B |
| Oct 1, 2022 | Huy(away) | 1-1 | Third Amateur Division - ACFF B |
| Sep 25, 2022 | Sprimont(home) | 1-0 | Third Amateur Division - ACFF B |
| Sep 17, 2022 | Rochefort(away) | 2-3 | Third Amateur Division - ACFF B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | Libramont(home) | 1-1 | Third Amateur Division - ACFF B |
| Oct 9, 2022 | Meix-Devant-Virton(away) | 1-2 | Third Amateur Division - ACFF B |
| Oct 1, 2022 | Marloie Sport(away) | 1-2 | Third Amateur Division - ACFF B |
| Sep 25, 2022 | Wallonne Ciney(home) | 2-1 | Third Amateur Division - ACFF B |
| Sep 17, 2022 | Huy(away) | 0-1 | Third Amateur Division - ACFF B |
How many goals should we expect?
Aywaille score 1.5 and concede 1.3 goals per match over their last 15; US Givry score 0.9 and concede 2.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aywaille | 1.5 | 1.3 | 3 | 11/15 | 8/15 |
| US Givry | 0.9 | 2.9 | 0 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Aywaille | 30 | 18 | 7 | 5 | 58 | 28 | 61 |
A question about Aywaille vs US Givry?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy