Onhaye vs Aische: result 1-1 and analysis
Third Amateur Division - ACFF AACFF A - 14Kick-off on November 26, 2022 at 07:00 PM (UTC)Terrain de Onhaye, Onhaye
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What was the result of Onhaye vs Aische?
Onhaye and Aische drew 1-1 on November 26, 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; Aische have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Léopold(away) | 1-0 | Third Amateur Division - ACFF A |
| Nov 12, 2022 | Couvin-Mariembourg(home) | 3-1 | Third Amateur Division - ACFF A |
| Nov 5, 2022 | Tournai(away) | 0-1 | Third Amateur Division - ACFF A |
| Oct 30, 2022 | SG-Tertre-Hautrage(away) | 3-2 | Third Amateur Division - ACFF A |
| Oct 22, 2022 | Albert Quévy-Mons(home) | 1-2 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2022 | SG-Tertre-Hautrage(home) | 7-1 | Third Amateur Division - ACFF A |
| Nov 12, 2022 | Albert Quévy-Mons(away) | 1-3 | Third Amateur Division - ACFF A |
| Nov 5, 2022 | Entité Manageoise(home) | 3-2 | Third Amateur Division - ACFF A |
| Oct 30, 2022 | Braine(away) | 0-1 | Third Amateur Division - ACFF A |
| Oct 22, 2022 | RAS Monceau(home) | 1-3 | Third Amateur Division - ACFF A |
How many goals should we expect?
Onhaye score 1.9 and concede 1.1 goals per match over their last 15; Aische score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Onhaye | 1.9 | 1.1 | 3 | 11/15 | 10/15 |
| Aische | 2.1 | 1.4 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Aische | 26 | 5 | 7 | 14 | 23 | 48 | 22 |
A question about Onhaye vs Aische?
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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