FC Nordsjaelland vs Brondby: result 2-0 and analysis
SuperligaRegular Season - 9Kick-off on September 18, 2011 at 02:00 PM (UTC)Right to Dream Park, Farum
Full time
What was the result of FC Nordsjaelland vs Brondby?
FC Nordsjaelland won 2-0 on September 18, 2011.
Goalscorers
- 48′Andreas Granskov-HansenFC Nordsjaelland
- 54′J. OkoreFC Nordsjaelland
What is the recent form of both teams?
Over their last 8 matches in all competitions, FC Nordsjaelland have 4 wins, 1 draws and 3 defeats; Brondby have 2, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2011 | Aalborg(away) | 2-1 | Superliga |
| Aug 28, 2011 | Lyngby(home) | 4-0 | Superliga |
| Aug 21, 2011 | FC Midtjylland(away) | 1-2 | Superliga |
| Aug 14, 2011 | HB Koge(home) | 2-0 | Superliga |
| Aug 7, 2011 | Silkeborg(home) | 2-1 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2011 | HB Koge(home) | 5-0 | Superliga |
| Aug 28, 2011 | FC Midtjylland(away) | 1-2 | Superliga |
| Aug 21, 2011 | Aarhus(away) | 0-0 | Superliga |
| Aug 14, 2011 | Sonderjyske(home) | 2-2 | Superliga |
| Aug 7, 2011 | Odense(away) | 1-2 | Superliga |
How many goals should we expect?
FC Nordsjaelland score 1.5 and concede 1.1 goals per match over their last 8; Brondby score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Nordsjaelland | 1.5 | 1.1 | 2 | 4/8 | 4/8 |
| Brondby | 1.6 | 1.5 | 3 | 5/8 | 6/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
FC Nordsjaelland sit 2nd in Superliga (10 points from 4 matches) and Brondby sit 3rd (10 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | FC Nordsjaelland | 4 | 3 | 1 | 0 | 6 | 1 | 10 |
| 3 | Brondby | 4 | 3 | 1 | 0 | 7 | 3 | 10 |
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