Djursland vs Aars: result 0-0 and analysis
Denmark Series - Group 3Regular Season - 17Kick-off on April 21, 2012 at 01:00 PM (UTC)HSM Arena Grenå, Grenaa
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What was the result of Djursland vs Aars?
Djursland and Aars drew 0-0 on April 21, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djursland have 4 wins, 3 draws and 8 defeats; Aars have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2012 | Skanderborg(away) | 2-3 | Denmark Series - Group 3 |
| Apr 9, 2012 | Randers Freja(home) | 4-0 | Denmark Series - Group 3 |
| Apr 5, 2012 | Hobro II(away) | 2-0 | Denmark Series - Group 3 |
| Nov 5, 2011 | Tjørring(away) | 1-2 | Denmark Series - Group 3 |
| Oct 29, 2011 | Ringkøbing(home) | 2-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2012 | Esbjerg II(home) | 0-1 | Denmark Series - Group 3 |
| Apr 9, 2012 | Aarhus Fremad II(away) | 0-0 | Denmark Series - Group 3 |
| Apr 5, 2012 | AaB II(home) | 1-2 | Denmark Series - Group 3 |
| Nov 5, 2011 | Løgstør(away) | 0-2 | Denmark Series - Group 3 |
| Oct 29, 2011 | Skanderborg(home) | 1-2 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 1 Djursland win, 0 draws, 0 Aars wins.
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2011 | Aars 0-1 Djursland | Denmark Series - Group 3 |
How many goals should we expect?
Djursland score 1.9 and concede 2.4 goals per match over their last 15; Aars score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djursland | 1.9 | 2.4 | 3 | 10/15 | 12/15 |
| Aars | 1.0 | 1.7 | 1 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Djursland vs Aars?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy