Viby vs AaB II: result 0-1 and analysis
Denmark Series - Group 3Regular Season - 14Kick-off on May 8, 2013 at 05:00 PM (UTC)Viby Idrætspark, Viby J
Full time
What was the result of Viby vs AaB II?
AaB II won 0-1 on May 8, 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; AaB II 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 |
|---|---|---|---|
| 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 |
| Nov 3, 2012 | Kolding IF(away) | 3-5 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Aalborg Freja(away) | 1-1 | Denmark Series - Group 3 |
| Apr 27, 2013 | Silkeborg II(home) | 2-0 | Denmark Series - Group 3 |
| Apr 20, 2013 | Randers Freja(home) | 0-2 | Denmark Series - Group 3 |
| Apr 13, 2013 | Kolding IF(away) | 0-1 | Denmark Series - Group 3 |
| Apr 6, 2013 | Lindholm(home) | 0-1 | Denmark Series - Group 3 |
What does the head-to-head say?
In the last meeting: 0 Viby wins, 0 draws, 1 AaB II win.
| Date | Score | Competition |
|---|---|---|
| Aug 11, 2012 | AaB II 1-0 Viby | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 2.3 and concede 1.9 goals per match over their last 15; AaB II score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 2.3 | 1.9 | 3 | 11/15 | 11/15 |
| AaB II | 1.5 | 1.1 | 3 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
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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