Kjellerup vs AaB II: result 6-2 and analysis
Denmark Series - Group 3Regular Season - 17Kick-off on April 15, 2016 at 04:15 PM (UTC)XL-byg Arena, Kjellerup
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What was the result of Kjellerup vs AaB II?
Kjellerup won 6-2 on April 15, 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; AaB II have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 24, 2015 | Randers Freja(home) | 3-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2016 | Ringkøbing(home) | 1-1 | Denmark Series - Group 3 |
| Apr 3, 2016 | Aarhus Fremad II(away) | 3-2 | Denmark Series - Group 3 |
| Mar 28, 2016 | Holstebro(home) | 0-0 | Denmark Series - Group 3 |
| Oct 31, 2015 | Skanderborg(home) | 2-1 | Denmark Series - Group 3 |
| Oct 24, 2015 | Aalborg Freja(away) | 4-2 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 2 Kjellerup win(s), 0 draw(s), 1 AaB II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 30, 2015 | AaB II 1-2 Kjellerup | Denmark Series - Group 3 |
| Mar 29, 2014 | Kjellerup 2-1 AaB II | Denmark Series - Group 3 |
| Aug 10, 2013 | AaB II 5-4 Kjellerup | Denmark Series - Group 3 |
How many goals should we expect?
Kjellerup score 2.3 and concede 1.9 goals per match over their last 15; AaB II score 2.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjellerup | 2.3 | 1.9 | 2 | 12/15 | 14/15 |
| AaB II | 2.3 | 1.8 | 1 | 13/15 | 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