Vestsjælland vs Brønshøj: result 3-1 and analysis
1. DivisionRegular Season - 23Kick-off on May 27, 2012 at 11:00 AM (UTC)Harboe Arena Slagelse, Slagelse
Full time
What was the result of Vestsjælland vs Brønshøj?
Vestsjælland won 3-1 on May 27, 2012.
Goalscorers
- 33′Nicolas SandbergVestsjælland
- 75′Nicolas SandbergVestsjælland
- 84′Nicolas SandbergVestsjælland
- 90′P. LarsenBrønshøj
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vestsjælland have 4 wins, 5 draws and 6 defeats; Brønshøj have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2012 | Randers FC(away) | 1-2 | 1. Division |
| May 13, 2012 | Vejle(home) | 3-1 | 1. Division |
| May 6, 2012 | Skive(away) | 0-0 | 1. Division |
| Apr 29, 2012 | Roskilde(home) | 0-1 | 1. Division |
| Apr 20, 2012 | AB Copenhagen(away) | 1-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2012 | Esbjerg(home) | 0-0 | 1. Division |
| May 13, 2012 | FC Fredericia(away) | 5-0 | 1. Division |
| May 5, 2012 | Viborg(home) | 1-3 | 1. Division |
| Apr 29, 2012 | Jammerbugt(away) | 2-0 | 1. Division |
| Apr 21, 2012 | Hobro(home) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Vestsjælland win(s), 0 draw(s), 0 Brønshøj win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 15, 2011 | Brønshøj 0-2 Vestsjælland | 1. Division |
Last archived meeting: Brønshøj vs Vestsjælland on Oct 15, 2011
How many goals should we expect?
Vestsjælland score 1.2 and concede 1.5 goals per match over their last 15; Brønshøj score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vestsjælland | 1.2 | 1.5 | 3 | 9/15 | 8/15 |
| Brønshøj | 1.4 | 1.0 | 7 | 7/15 | 7/15 |
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