VSK Århus vs Vejgaard B: result 0-0 and analysis
2nd Division - Group 2Group 2 - 2Kick-off on August 10, 2019 at 11:30 AM (UTC)Vejlby Stadion, Risskov
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What was the result of VSK Århus vs Vejgaard B?
VSK Århus and Vejgaard B drew 0-0 on August 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, VSK Århus have 11 wins, 3 draws and 1 defeats; Vejgaard B have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2019 | Ringkøbing(away) | 1-0 | DBU Pokalen |
| Aug 4, 2019 | Thisted FC(away) | 4-1 | 2nd Division - Group 2 |
| Jun 15, 2019 | Djursland(home) | 2-0 | Denmark Series - Group 4 |
| Jun 7, 2019 | Nørresundby(away) | 3-1 | Denmark Series - Group 4 |
| Jun 1, 2019 | Aarhus Fremad II(home) | 3-3 | Denmark Series - Group 4 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2019 | Vildbjerg(away) | 3-2 | DBU Pokalen |
| Aug 3, 2019 | Middelfart(home) | 3-1 | 2nd Division - Group 2 |
| Apr 13, 2019 | Dalum(away) | 1-1 | 2. Division |
| Apr 6, 2019 | Kjellerup(home) | 2-1 | 2. Division |
| Mar 30, 2019 | Ringkøbing(home) | 1-1 | 2. Division |
How many goals should we expect?
VSK Århus score 2.8 and concede 0.7 goals per match over their last 15; Vejgaard B score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| VSK Århus | 2.8 | 0.7 | 9 | 6/15 | 11/15 |
| Vejgaard B | 1.6 | 1.3 | 0 | 11/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
VSK Århus sit 7th in 2nd Division - Group 2 (23 points from 17 matches) and Vejgaard B sit 12th (11 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | VSK Århus | 17 | 7 | 2 | 8 | 23 | 25 | 23 |
| 12 | Vejgaard B | 17 | 2 | 5 | 10 | 19 | 42 | 11 |
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