Vejgaard B vs AaB II: result 2-1 and analysis
Denmark Series - Group 3Regular Season - 23Kick-off on May 27, 2016 at 04:30 PM (UTC)Spar Nord Arena, Aalborg
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What was the result of Vejgaard B vs AaB II?
Vejgaard B won 2-1 on May 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejgaard B have 8 wins, 4 draws and 3 defeats; AaB II have 6, 7 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Viby(away) | 0-2 | Denmark Series - Group 3 |
| May 15, 2016 | Aabyhøj(home) | 1-0 | Denmark Series - Group 3 |
| May 7, 2016 | Kjellerup(away) | 1-3 | Denmark Series - Group 3 |
| Apr 30, 2016 | Aarhus Fremad II(home) | 1-1 | Denmark Series - Group 3 |
| Apr 23, 2016 | Skanderborg(away) | 1-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Lyseng(home) | 2-2 | Denmark Series - Group 3 |
| May 14, 2016 | Viby(away) | 2-1 | Denmark Series - Group 3 |
| May 3, 2016 | Randers Freja(home) | 1-1 | Denmark Series - Group 3 |
| Apr 30, 2016 | Aabyhøj(away) | 2-0 | Denmark Series - Group 3 |
| Apr 23, 2016 | Nørresundby(home) | 3-2 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 3 meetings: 2 Vejgaard B win(s), 0 draw(s), 1 AaB II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 10, 2015 | AaB II 1-3 Vejgaard B | Denmark Series - Group 3 |
| Apr 12, 2014 | Vejgaard B 6-2 AaB II | Denmark Series - Group 3 |
| Aug 24, 2013 | AaB II 1-0 Vejgaard B | Denmark Series - Group 3 |
How many goals should we expect?
Vejgaard B score 1.3 and concede 0.9 goals per match over their last 15; AaB II score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejgaard B | 1.3 | 0.9 | 6 | 7/15 | 4/15 |
| AaB II | 1.9 | 1.7 | 2 | 13/15 | 10/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy