Vejgaard B vs ASA Aarhus: result 1-2 and analysis
Denmark Series - Group 4Group 4 - 7Kick-off on September 18, 2021 at 11:00 AM (UTC)Spar Nord Arena, Aalborg
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What was the result of Vejgaard B vs ASA Aarhus?
ASA Aarhus won 1-2 on September 18, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejgaard B have 9 wins, 2 draws and 4 defeats; ASA Aarhus have 2, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Fuglebakken KFUM(away) | 3-0 | Denmark Series - Group 4 |
| Sep 4, 2021 | AaB II(home) | 2-1 | Denmark Series - Group 4 |
| Aug 28, 2021 | Nørresundby(away) | 2-1 | Denmark Series - Group 4 |
| Aug 21, 2021 | VRI(home) | 2-0 | Denmark Series - Group 4 |
| Aug 15, 2021 | Holstebro(away) | 1-2 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2021 | Ringkøbing(home) | 1-2 | Denmark Series - Group 4 |
| Sep 4, 2021 | Odder(away) | 0-2 | Denmark Series - Group 4 |
| Aug 28, 2021 | Fuglebakken KFUM(away) | 2-2 | Denmark Series - Group 4 |
| Aug 21, 2021 | AaB II(home) | 0-5 | Denmark Series - Group 4 |
| Aug 14, 2021 | Nørresundby(away) | 0-2 | Denmark Series - Group 4 |
How many goals should we expect?
Vejgaard B score 2.1 and concede 1.1 goals per match over their last 15; ASA Aarhus score 1.2 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejgaard B | 2.1 | 1.1 | 3 | 11/15 | 10/15 |
| ASA Aarhus | 1.2 | 2.6 | 1 | 5/9 | 7/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | ASA Aarhus | 18 | 12 | 4 | 2 | 46 | 18 | 40 |
A question about Vejgaard B vs ASA Aarhus?
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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