Kjellerup vs Aabyhøj: result 3-0 and analysis
Denmark Series - Group 3Regular Season - 18Kick-off on April 23, 2016 at 11:30 AM (UTC)XL-byg Arena, Kjellerup
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What was the result of Kjellerup vs Aabyhøj?
Kjellerup won 3-0 on April 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjellerup have 10 wins, 0 draws and 5 defeats; Aabyhøj have 0, 6 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2016 | AaB II(home) | 6-2 | Denmark Series - Group 3 |
| Apr 9, 2016 | Aarhus Fremad II(away) | 0-2 | Denmark Series - Group 3 |
| Apr 2, 2016 | Skanderborg(home) | 2-1 | Denmark Series - Group 3 |
| Mar 28, 2016 | Lystrup(away) | 1-3 | Denmark Series - Group 3 |
| Oct 31, 2015 | Lyseng(away) | 3-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 28, 2016 | Lyseng(away) | 1-4 | Denmark Series - Group 3 |
| Oct 31, 2015 | Randers Freja(away) | 0-2 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 3 Kjellerup win(s), 0 draw(s), 0 Aabyhøj win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 5, 2015 | Aabyhøj 1-5 Kjellerup | Denmark Series - Group 3 |
| Apr 12, 2014 | Kjellerup 3-0 Aabyhøj | Denmark Series - Group 3 |
| Aug 24, 2013 | Aabyhøj 0-3 Kjellerup | Denmark Series - Group 3 |
How many goals should we expect?
Kjellerup score 2.5 and concede 1.9 goals per match over their last 15; Aabyhøj score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjellerup | 2.5 | 1.9 | 2 | 12/15 | 14/15 |
| Aabyhøj | 1.0 | 2.3 | 2 | 10/15 | 9/15 |
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