Vanløse vs Skjold Sæby: result 0-1 and analysis
Denmark Series - Group 1Regular Season - 16Kick-off on April 9, 2016 at 01:00 PM (UTC)Vanløse IP, Vanløse
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What was the result of Vanløse vs Skjold Sæby?
Skjold Sæby won 0-1 on April 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vanløse have 8 wins, 4 draws and 3 defeats; Skjold Sæby have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | FA 2000(away) | 1-0 | Denmark Series - Group 1 |
| Mar 28, 2016 | LSF(home) | 1-0 | Denmark Series - Group 1 |
| Oct 31, 2015 | Søllerød-Vedbæk(home) | 1-1 | Denmark Series - Group 1 |
| Oct 24, 2015 | Hillerød(away) | 0-2 | Denmark Series - Group 1 |
| Oct 17, 2015 | Jægersborg(home) | 1-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Herlev(home) | 1-0 | Denmark Series - Group 1 |
| Mar 28, 2016 | Allerød(away) | 2-0 | Denmark Series - Group 1 |
| Nov 4, 2015 | Jægersborg(home) | 0-3 | Denmark Series - Group 1 |
| Oct 31, 2015 | Avedøre(away) | 1-3 | Denmark Series - Group 1 |
| Oct 24, 2015 | Fredensborg BI(home) | 0-1 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 3 Vanløse win(s), 0 draw(s), 0 Skjold Sæby win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2015 | Skjold Sæby 1-2 Vanløse | Denmark Series - Group 1 |
| Apr 19, 2013 | Vanløse 2-1 Skjold Sæby | Denmark Series - Group 1 |
| Sep 4, 2012 | Skjold Sæby 0-3 Vanløse | Denmark Series - Group 1 |
Last archived meeting: Skjold Sæby vs Vanløse on Aug 22, 2015
How many goals should we expect?
Vanløse score 1.5 and concede 1.1 goals per match over their last 15; Skjold Sæby score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vanløse | 1.5 | 1.1 | 4 | 10/15 | 8/15 |
| Skjold Sæby | 1.0 | 1.8 | 4 | 8/15 | 7/15 |
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