Silkeborg II vs Løgstør: result 2-3 and analysis
Denmark Series - Group 3Regular Season - 26Kick-off on June 5, 2013 at 01:00 PM (UTC)Søholt Idrætsanlæg kunstgræs
Full time
What was the result of Silkeborg II vs Løgstør?
Løgstør won 2-3 on June 5, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg II have 1 wins, 3 draws and 11 defeats; Løgstør have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2013 | Lyseng(away) | 1-4 | Denmark Series - Group 3 |
| May 28, 2013 | Viby(home) | 3-3 | Denmark Series - Group 3 |
| May 24, 2013 | Hobro II(home) | 0-2 | Denmark Series - Group 3 |
| May 19, 2013 | Holstebro(away) | 1-3 | Denmark Series - Group 3 |
| May 11, 2013 | Aalborg Freja(home) | 0-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2013 | Lindholm(home) | 0-2 | Denmark Series - Group 3 |
| May 25, 2013 | Viby(away) | 1-2 | Denmark Series - Group 3 |
| May 18, 2013 | Odder(home) | 1-1 | Denmark Series - Group 3 |
| May 11, 2013 | Randers Freja(away) | 0-3 | Denmark Series - Group 3 |
| May 5, 2013 | Kolding FC(away) | 2-3 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 1 meetings: 1 Silkeborg II win(s), 0 draw(s), 0 Løgstør win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2012 | Løgstør 0-2 Silkeborg II | Denmark Series - Group 3 |
Last archived meeting: Løgstør vs Silkeborg II on Nov 3, 2012
How many goals should we expect?
Silkeborg II score 0.9 and concede 2.1 goals per match over their last 15; Løgstør score 0.9 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg II | 0.9 | 2.1 | 2 | 7/15 | 8/15 |
| Løgstør | 0.9 | 2.3 | 1 | 8/15 | 8/15 |
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