Djursland vs Hjørring IF: result 0-1 and analysis
Denmark Series - Group 3Regular Season - 2Kick-off on August 23, 2014 at 01:00 PM (UTC)HSM Arena Grenå, Grenaa
Full time
What was the result of Djursland vs Hjørring IF?
Hjørring IF won 0-1 on August 23, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djursland have 8 wins, 4 draws and 3 defeats; Hjørring IF 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 |
|---|---|---|---|
| Aug 16, 2014 | Viby(away) | 1-0 | Denmark Series - Group 3 |
| Aug 12, 2014 | Lyseng(away) | 1-4 | DBU Pokalen |
| Sep 25, 2013 | FC Midtjylland(home) | 2-4 | DBU Pokalen |
| Sep 4, 2013 | Viby(away) | 7-3 | DBU Pokalen |
| Aug 14, 2013 | Skovbakken(home) | 4-3 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2014 | Lyseng(home) | 0-5 | Denmark Series - Group 3 |
| Jun 14, 2014 | Lyseng(away) | 1-4 | Denmark Series - Group 3 |
| Jun 7, 2014 | Varde(home) | 6-5 | Denmark Series - Group 3 |
| May 31, 2014 | Kjellerup(away) | 1-2 | Denmark Series - Group 3 |
| May 23, 2014 | Lindholm(away) | 1-0 | Denmark Series - Group 3 |
How many goals should we expect?
Djursland score 2.1 and concede 1.6 goals per match over their last 15; Hjørring IF score 2.4 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djursland | 2.1 | 1.6 | 4 | 11/15 | 9/15 |
| Hjørring IF | 2.4 | 2.6 | 3 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Djursland vs Hjørring IF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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