Aabyhøj vs Vejgaard B: result 1-2 and analysis
Denmark Series - Group 3Regular Season - 8Kick-off on September 26, 2015 at 12:00 PM (UTC)Aabyhøj Stadion, Åbyhøj
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What was the result of Aabyhøj vs Vejgaard B?
Vejgaard B won 1-2 on September 26, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aabyhøj have 3 wins, 4 draws and 8 defeats; Vejgaard B have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | Viby(away) | 1-1 | Denmark Series - Group 3 |
| Sep 13, 2015 | AaB II(away) | 2-4 | Denmark Series - Group 3 |
| Sep 5, 2015 | Kjellerup(home) | 1-5 | Denmark Series - Group 3 |
| Sep 2, 2015 | Sønderborg(home) | 0-2 | DBU Pokalen |
| Aug 29, 2015 | Aarhus Fremad II(away) | 0-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2015 | Sonderjyske(home) | 1-3 | DBU Pokalen |
| Sep 19, 2015 | Kjellerup(home) | 3-1 | Denmark Series - Group 3 |
| Sep 12, 2015 | Aarhus Fremad II(away) | 0-0 | Denmark Series - Group 3 |
| Sep 5, 2015 | Skanderborg(home) | 1-1 | Denmark Series - Group 3 |
| Sep 1, 2015 | Sydvest(home) | 3-2 | DBU Pokalen |
What does the head-to-head say?
Across the last 2 meetings: 2 Aabyhøj win(s), 0 draw(s), 0 Vejgaard B win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2014 | Aabyhøj 2-0 Vejgaard B | Denmark Series - Group 3 |
| Aug 31, 2013 | Vejgaard B 2-3 Aabyhøj | Denmark Series - Group 3 |
Last archived meeting: Aabyhøj vs Vejgaard B on Apr 17, 2014
How many goals should we expect?
Aabyhøj score 1.3 and concede 2.1 goals per match over their last 15; Vejgaard B score 2.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aabyhøj | 1.3 | 2.1 | 2 | 9/15 | 8/15 |
| Vejgaard B | 2.1 | 1.5 | 3 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
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