FC Copenhagen vs Silkeborg: result 2-1 and analysis
SuperligaRegular Season - 7Kick-off on August 28, 2011 at 02:00 PM (UTC)Parken, København
Full time
What was the result of FC Copenhagen vs Silkeborg?
FC Copenhagen won 2-1 on August 28, 2011.
Goalscorers
- 14′Cesar SantinFC Copenhagen
- 42′D. N'DoyeFC Copenhagen
- 66′D. FlintaSilkeborg
What is the recent form of both teams?
Over their last 10 matches in all competitions, FC Copenhagen have 7 wins, 1 draws and 2 defeats; Silkeborg have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2011 | Plzen(away) | 1-2 | UEFA Champions League |
| Aug 20, 2011 | AC Horsens(away) | 1-0 | Superliga |
| Aug 16, 2011 | Plzen(home) | 1-3 | UEFA Champions League |
| Aug 13, 2011 | FC Midtjylland(home) | 2-0 | Superliga |
| Aug 7, 2011 | HB Koge(away) | 4-2 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2011 | HB Koge(away) | 0-3 | Superliga |
| Aug 15, 2011 | Aarhus(home) | 1-1 | Superliga |
| Aug 7, 2011 | FC Nordsjaelland(away) | 1-2 | Superliga |
| Jul 31, 2011 | Sonderjyske(home) | 1-1 | Superliga |
| Jul 23, 2011 | Brondby(home) | 0-1 | Superliga |
How many goals should we expect?
FC Copenhagen score 1.8 and concede 0.9 goals per match over their last 10; Silkeborg score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Copenhagen | 1.8 | 0.9 | 6 | 4/10 | 4/10 |
| Silkeborg | 0.8 | 1.5 | 0 | 4/6 | 3/6 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
FC Copenhagen sit 5th in Superliga (9 points from 4 matches) and Silkeborg sit 8th (4 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | FC Copenhagen | 4 | 3 | 0 | 1 | 10 | 7 | 9 |
| 8 | Silkeborg | 4 | 1 | 1 | 2 | 3 | 5 | 4 |
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