Aabyhøj vs Viby: result 3-2 and analysis
Denmark Series - Group 3Regular Season - 20Kick-off on May 5, 2016 at 12:00 PM (UTC)Aabyhøj Stadion, Åbyhøj
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What was the result of Aabyhøj vs Viby?
Aabyhøj won 3-2 on May 5, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aabyhøj have 0 wins, 5 draws and 10 defeats; Viby have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | AaB II(home) | 0-2 | Denmark Series - Group 3 |
| Apr 23, 2016 | Kjellerup(away) | 0-3 | Denmark Series - Group 3 |
| Apr 16, 2016 | Aarhus Fremad II(home) | 1-2 | Denmark Series - Group 3 |
| Apr 9, 2016 | Skanderborg(away) | 1-1 | Denmark Series - Group 3 |
| Apr 2, 2016 | Lystrup(away) | 0-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Kjellerup(home) | 1-0 | Denmark Series - Group 3 |
| Apr 23, 2016 | Aarhus Fremad II(away) | 1-2 | Denmark Series - Group 3 |
| Apr 16, 2016 | Skanderborg(home) | 2-1 | Denmark Series - Group 3 |
| Apr 9, 2016 | Lystrup(away) | 0-1 | Denmark Series - Group 3 |
| Apr 2, 2016 | Lyseng(home) | 2-4 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 4 meetings: 0 Aabyhøj win(s), 1 draw(s), 3 Viby win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2015 | Viby 1-1 Aabyhøj | Denmark Series - Group 3 |
| May 24, 2014 | Aabyhøj 0-4 Viby | Denmark Series - Group 3 |
| Oct 12, 2013 | Viby 4-0 Aabyhøj | Denmark Series - Group 3 |
| Aug 13, 2013 | Aabyhøj 0-1 Viby | DBU Pokalen |
How many goals should we expect?
Aabyhøj score 1.0 and concede 2.5 goals per match over their last 15; Viby score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aabyhøj | 1.0 | 2.5 | 1 | 10/15 | 10/15 |
| Viby | 1.9 | 1.9 | 1 | 12/15 | 10/15 |
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