Marienlyst vs Brønshøj: result 1-3 and analysis
1. DivisionRegular Season - 22Kick-off on April 12, 2014 at 01:00 PM (UTC)Marienlystcentret, Odense
Full time
What was the result of Marienlyst vs Brønshøj?
Brønshøj won 1-3 on April 12, 2014.
Goalscorers
- 42′Jesper ChristjansenBrønshøj
- 49′Jesper ChristjansenBrønshøj
- 69′Mikkel Nøhr ChristensenBrønshøj
- 79′C. RasmussenMarienlyst
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 1 wins, 1 draws and 13 defeats; Brønshøj have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2014 | Hvidovre(away) | 0-2 | 1. Division |
| Mar 29, 2014 | Vendsyssel FF(home) | 2-3 | 1. Division |
| Mar 23, 2014 | HB Koge(away) | 0-3 | 1. Division |
| Dec 1, 2013 | Silkeborg(home) | 1-3 | 1. Division |
| Nov 27, 2013 | Hobro(home) | 0-1 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2014 | Silkeborg(away) | 1-0 | 1. Division |
| Mar 29, 2014 | Hvidovre(home) | 1-0 | 1. Division |
| Mar 22, 2014 | Vendsyssel FF(away) | 3-0 | 1. Division |
| Nov 23, 2013 | HB Koge(home) | 1-0 | 1. Division |
| Nov 17, 2013 | AB Copenhagen(away) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Marienlyst win(s), 0 draw(s), 1 Brønshøj win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 7, 2013 | Marienlyst 1-2 Brønshøj | 1. Division |
Last archived meeting: Marienlyst vs Brønshøj on Sep 7, 2013
How many goals should we expect?
Marienlyst score 0.9 and concede 2.7 goals per match over their last 15; Brønshøj score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 0.9 | 2.7 | 0 | 10/15 | 13/15 |
| Brønshøj | 1.3 | 0.9 | 7 | 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