Brønshøj vs Hvidovre: result 1-0 and analysis
1. DivisionRegular Season - 20Kick-off on March 29, 2014 at 02:00 PM (UTC)Tingbjerg Idrætspark, Brønshøj
Full time
What was the result of Brønshøj vs Hvidovre?
Brønshøj won 1-0 on March 29, 2014.
Goalscorers
- 7′E. BerggreenBrønshøj
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brønshøj have 6 wins, 3 draws and 6 defeats; Hvidovre have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Nov 9, 2013 | AC Horsens(home) | 1-2 | 1. Division |
| Nov 2, 2013 | Hobro(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2014 | Silkeborg(away) | 0-2 | 1. Division |
| Nov 22, 2013 | Vendsyssel FF(home) | 2-0 | 1. Division |
| Nov 17, 2013 | HB Koge(away) | 0-3 | 1. Division |
| Nov 8, 2013 | AB Copenhagen(home) | 0-0 | 1. Division |
| Nov 3, 2013 | AC Horsens(away) | 2-0 | 1. Division |
What does the head-to-head say?
In the last meeting: 0 Brønshøj wins, 0 draws, 1 Hvidovre win.
| Date | Score | Competition |
|---|---|---|
| Aug 10, 2013 | Brønshøj 1-3 Hvidovre | 1. Division |
How many goals should we expect?
Brønshøj score 1.3 and concede 1.2 goals per match over their last 15; Hvidovre score 0.9 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brønshøj | 1.3 | 1.2 | 5 | 10/15 | 10/15 |
| Hvidovre | 0.9 | 2.1 | 3 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Hvidovre | 10 | 7 | 3 | 0 | 20 | 10 | 24 |
A question about Brønshøj vs Hvidovre?
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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