Silkeborg vs Aarhus: result 0-1 and analysis
DBU Pokalen3rd RoundKick-off on September 22, 2015 at 06:15 PM (UTC)JYSK park, Silkeborg
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What was the result of Silkeborg vs Aarhus?
Aarhus won 0-1 on September 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg have 5 wins, 4 draws and 6 defeats; Aarhus have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2015 | Vejle(home) | 0-2 | 1. Division |
| Sep 10, 2015 | FC Fredericia(away) | 1-1 | 1. Division |
| Sep 7, 2015 | FC Helsingor(home) | 1-0 | 1. Division |
| Sep 1, 2015 | Svendborg(away) | 3-0 | DBU Pokalen |
| Aug 26, 2015 | HB Koge(home) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2015 | Sonderjyske(home) | 1-2 | Superliga |
| Sep 11, 2015 | Hobro(away) | 1-2 | Superliga |
| Sep 2, 2015 | Kjellerup(away) | 8-1 | DBU Pokalen |
| Aug 28, 2015 | Esbjerg(home) | 0-0 | Superliga |
| Aug 23, 2015 | FC Copenhagen(away) | 2-2 | Superliga |
What does the head-to-head say?
Across the last 6 meetings: 3 Silkeborg win(s), 2 draw(s), 1 Aarhus win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2013 | Silkeborg 3-1 Aarhus | Superliga |
| Dec 10, 2012 | Aarhus 3-3 Silkeborg | Superliga |
| Sep 1, 2012 | Silkeborg 0-4 Aarhus | Superliga |
| Apr 5, 2012 | Silkeborg 2-1 Aarhus | Superliga |
| Nov 21, 2011 | Aarhus 0-2 Silkeborg | Superliga |
| Aug 15, 2011 | Silkeborg 1-1 Aarhus | Superliga |
How many goals should we expect?
Silkeborg score 1.1 and concede 1.1 goals per match over their last 15; Aarhus score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg | 1.1 | 1.1 | 4 | 7/15 | 6/15 |
| Aarhus | 2.0 | 1.5 | 2 | 12/15 | 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