Viby vs Aalborg Freja: result 2-4 and analysis
Denmark Series - Group 3Regular Season - 16Kick-off on April 13, 2013 at 02:00 PM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Aalborg Freja?
Aalborg Freja won 2-4 on April 13, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 7 wins, 4 draws and 4 defeats; Aalborg Freja have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2012 | Kolding IF(away) | 3-5 | Denmark Series - Group 3 |
| Oct 27, 2012 | Lindholm(away) | 1-1 | Denmark Series - Group 3 |
| Oct 20, 2012 | Randers Freja(home) | 3-3 | Denmark Series - Group 3 |
| Oct 13, 2012 | Odder(home) | 3-1 | Denmark Series - Group 3 |
| Oct 6, 2012 | Løgstør(away) | 1-0 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2013 | Odder(home) | 0-1 | Denmark Series - Group 3 |
| Apr 1, 2013 | Løgstør(away) | 3-1 | Denmark Series - Group 3 |
| Nov 3, 2012 | Kolding FC(away) | 1-2 | Denmark Series - Group 3 |
| Oct 27, 2012 | Djursland(home) | 1-2 | Denmark Series - Group 3 |
| Oct 20, 2012 | Lyseng(away) | 0-5 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Viby wins, 0 draws, 1 Aalborg Freja win.
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2012 | Aalborg Freja 3-1 Viby | Denmark Series - Group 3 |
Last archived meeting: Aalborg Freja vs Viby on Aug 25, 2012
How many goals should we expect?
Viby score 2.1 and concede 1.7 goals per match over their last 15; Aalborg Freja score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 2.1 | 1.7 | 4 | 9/15 | 9/15 |
| Aalborg Freja | 1.3 | 2.0 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Viby vs Aalborg Freja?
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