Brondby vs Silkeborg: result 3-0 and analysis
DBU Pokalen8th FinalsKick-off on November 7, 2012 at 04:45 PM (UTC)Brøndby Stadion, Brøndby
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What was the result of Brondby vs Silkeborg?
Brondby won 3-0 on November 7, 2012.
Goalscorers
- 46′Q. AntipasBrondby
- 71′M. GehrtBrondby
- 89′Brent Colm McGrathBrondby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brondby have 1 wins, 6 draws and 8 defeats; Silkeborg have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2012 | Odense(home) | 0-3 | Superliga |
| Oct 28, 2012 | FC Midtjylland(away) | 1-1 | Superliga |
| Oct 21, 2012 | FC Copenhagen(away) | 0-1 | Superliga |
| Oct 7, 2012 | Aalborg(home) | 1-3 | Superliga |
| Sep 30, 2012 | Randers FC(away) | 2-3 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2012 | Esbjerg(away) | 0-1 | Superliga |
| Oct 27, 2012 | Randers FC(home) | 1-2 | Superliga |
| Oct 19, 2012 | FC Nordsjaelland(away) | 0-3 | Superliga |
| Oct 7, 2012 | AC Horsens(home) | 1-1 | Superliga |
| Sep 30, 2012 | Aalborg(home) | 2-1 | Superliga |
What does the head-to-head say?
Across the last 4 meetings: 3 Brondby win(s), 0 draw(s), 1 Silkeborg win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2012 | Brondby 2-1 Silkeborg | Superliga |
| May 3, 2012 | Brondby 3-2 Silkeborg | Superliga |
| Oct 23, 2011 | Silkeborg 2-1 Brondby | Superliga |
| Jul 23, 2011 | Silkeborg 0-1 Brondby | Superliga |
How many goals should we expect?
Brondby score 0.9 and concede 1.6 goals per match over their last 15; Silkeborg score 0.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brondby | 0.9 | 1.6 | 1 | 10/15 | 7/15 |
| Silkeborg | 0.8 | 2.1 | 1 | 7/15 | 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