Viby vs Djursland: result 2-2 and analysis
Denmark Series - Group 3Regular Season - 20Kick-off on May 11, 2013 at 11:00 AM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Djursland?
Viby and Djursland drew 2-2 on May 11, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 6 wins, 4 draws and 5 defeats; Djursland have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2013 | AaB II(home) | 0-1 | Denmark Series - Group 3 |
| May 4, 2013 | Lyseng(away) | 1-2 | Denmark Series - Group 3 |
| Apr 27, 2013 | Hobro II(home) | 3-0 | Denmark Series - Group 3 |
| Apr 21, 2013 | Holstebro(away) | 3-1 | Denmark Series - Group 3 |
| Apr 13, 2013 | Aalborg Freja(home) | 2-4 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Odder(home) | 1-1 | Denmark Series - Group 3 |
| Apr 27, 2013 | Løgstør(away) | 2-0 | Denmark Series - Group 3 |
| Apr 20, 2013 | Kolding FC(home) | 1-0 | Denmark Series - Group 3 |
| Apr 13, 2013 | Randers Freja(away) | 2-2 | Denmark Series - Group 3 |
| Apr 6, 2013 | Lyseng(away) | 1-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Viby wins, 0 draws, 1 Djursland win.
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2012 | Djursland 6-0 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 2.1 and concede 2.0 goals per match over their last 15; Djursland score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 2.1 | 2.0 | 2 | 11/15 | 11/15 |
| Djursland | 1.5 | 0.7 | 8 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Viby vs Djursland?
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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