Brønshøj vs HB Koge: result 0-3 and analysis
1. DivisionRegular Season - 25Kick-off on April 13, 2013 at 01:00 PM (UTC)Tingbjerg Idrætspark, Brønshøj
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What was the result of Brønshøj vs HB Koge?
HB Koge won 0-3 on April 13, 2013.
Goalscorers
- 55′Jeppe Borild KjærHB Koge
- 76′A. KaaghHB Koge
- 90′Jeppe Borild KjærHB Koge (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brønshøj have 8 wins, 2 draws and 5 defeats; HB Koge 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 7, 2013 | Viborg(away) | 0-1 | 1. Division |
| Apr 4, 2013 | Vendsyssel FF(home) | 0-0 | 1. Division |
| Mar 28, 2013 | Fyn(home) | 3-0 | 1. Division |
| Mar 24, 2013 | Vestsjælland(away) | 0-1 | 1. Division |
| Nov 24, 2012 | Skive(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2013 | AB Copenhagen(home) | 2-1 | 1. Division |
| Apr 4, 2013 | Lyngby(away) | 1-2 | 1. Division |
| Mar 28, 2013 | Hobro(away) | 0-1 | 1. Division |
| Nov 23, 2012 | Viborg(away) | 0-0 | 1. Division |
| Nov 18, 2012 | Vejle(home) | 1-0 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 0 Brønshøj win(s), 0 draw(s), 1 HB Koge win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2012 | HB Koge 2-1 Brønshøj | 1. Division |
How many goals should we expect?
Brønshøj score 1.3 and concede 0.9 goals per match over their last 15; HB Koge score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brønshøj | 1.3 | 0.9 | 6 | 6/15 | 6/15 |
| HB Koge | 1.3 | 1.3 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | HB Koge | 5 | 0 | 1 | 4 | 3 | 12 | 1 |
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