Djursland vs Kolding FC: result 1-0 and analysis
Denmark Series - Group 3Regular Season - 17Kick-off on April 20, 2013 at 01:00 PM (UTC)HSM Arena Grenå, Grenaa
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What was the result of Djursland vs Kolding FC?
Djursland won 1-0 on April 20, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djursland have 8 wins, 2 draws and 5 defeats; Kolding FC have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2013 | Randers Freja(away) | 2-2 | Denmark Series - Group 3 |
| Apr 6, 2013 | Lyseng(away) | 1-1 | Denmark Series - Group 3 |
| Apr 1, 2013 | Hobro II(home) | 1-0 | Denmark Series - Group 3 |
| Nov 3, 2012 | Holstebro(home) | 0-1 | Denmark Series - Group 3 |
| Oct 27, 2012 | Aalborg Freja(away) | 2-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2013 | Lyseng(home) | 1-0 | Denmark Series - Group 3 |
| Apr 6, 2013 | Hobro II(away) | 1-2 | Denmark Series - Group 3 |
| Apr 1, 2013 | Holstebro(home) | 4-1 | Denmark Series - Group 3 |
| Mar 23, 2013 | Lindholm(home) | 1-3 | Denmark Series - Group 3 |
| Nov 3, 2012 | Aalborg Freja(home) | 2-1 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 1 meetings: 1 Djursland win(s), 0 draw(s), 0 Kolding FC win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 2, 2012 | Kolding FC 4-5 Djursland | Denmark Series - Group 3 |
Last archived meeting: Kolding FC vs Djursland on Sep 2, 2012
How many goals should we expect?
Djursland score 1.7 and concede 1.2 goals per match over their last 15; Kolding FC score 1.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djursland | 1.7 | 1.2 | 6 | 6/15 | 8/15 |
| Kolding FC | 1.9 | 2.3 | 3 | 11/15 | 12/15 |
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