Viby vs Djursland: result 0-1 and analysis
Denmark Series - Group 3Regular Season - 1Kick-off on August 16, 2014 at 11:00 AM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Djursland?
Djursland won 0-1 on August 16, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 6 wins, 5 draws and 4 defeats; Djursland 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 |
|---|---|---|---|
| Aug 12, 2014 | AC Horsens(home) | 1-4 | DBU Pokalen |
| Jun 14, 2014 | Lindholm(home) | 2-2 | Denmark Series - Group 3 |
| Jun 7, 2014 | VRI(away) | 2-0 | Denmark Series - Group 3 |
| May 31, 2014 | Vejgaard B(home) | 1-1 | Denmark Series - Group 3 |
| May 24, 2014 | Aabyhøj(away) | 4-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Jun 15, 2013 | Aalborg Freja(home) | 2-2 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 0 Viby wins, 1 draw, 2 Djursland wins.
| Date | Score | Competition |
|---|---|---|
| Sep 4, 2013 | Viby 3-7 Djursland | DBU Pokalen |
| May 11, 2013 | Viby 2-2 Djursland | Denmark Series - Group 3 |
| Sep 22, 2012 | Djursland 6-0 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 1.9 and concede 1.4 goals per match over their last 15; Djursland score 2.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 1.9 | 1.4 | 4 | 9/15 | 10/15 |
| Djursland | 2.2 | 1.7 | 3 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Viby vs Djursland?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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