Brønshøj vs Marienlyst: result 2-0 and analysis
1. DivisionRegular Season - 25Kick-off on April 26, 2014 at 01:00 PM (UTC)Tingbjerg Idrætspark, Brønshøj
Full time
What was the result of Brønshøj vs Marienlyst?
Brønshøj won 2-0 on April 26, 2014.
Goalscorers
- 66′Jacob BerthelsenBrønshøj
- 79′Andreas Granskov-HansenBrønshøj
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brønshøj have 9 wins, 3 draws and 3 defeats; Marienlyst have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2014 | Lyngby(away) | 3-0 | 1. Division |
| Apr 17, 2014 | Vejle(home) | 2-1 | 1. Division |
| Apr 12, 2014 | Marienlyst(away) | 3-1 | 1. Division |
| Apr 6, 2014 | Silkeborg(away) | 1-0 | 1. Division |
| Mar 29, 2014 | Hvidovre(home) | 1-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2014 | Silkeborg(away) | 0-2 | 1. Division |
| Apr 17, 2014 | Lyngby(home) | 0-3 | 1. Division |
| Apr 12, 2014 | Brønshøj(home) | 1-3 | 1. Division |
| Apr 4, 2014 | Hvidovre(away) | 0-2 | 1. Division |
| Mar 29, 2014 | Vendsyssel FF(home) | 2-3 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Brønshøj wins, 0 draws, 0 Marienlyst wins.
| Date | Score | Competition |
|---|---|---|
| Apr 12, 2014 | Marienlyst 1-3 Brønshøj | 1. Division |
| Sep 7, 2013 | Marienlyst 1-2 Brønshøj | 1. Division |
Last archived meeting: Marienlyst vs Brønshøj on Apr 12, 2014
How many goals should we expect?
Brønshøj score 1.5 and concede 0.7 goals per match over their last 15; Marienlyst score 0.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brønshøj | 1.5 | 0.7 | 7 | 8/15 | 8/15 |
| Marienlyst | 0.9 | 2.7 | 0 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Brønshøj vs Marienlyst?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy