Lyngby vs HB Koge: result 3-1 and analysis
SuperligaRegular Season - 3Kick-off on July 31, 2011 at 02:00 PM (UTC)Lyngby Stadion, Lyngby
Full time
What was the result of Lyngby vs HB Koge?
Lyngby won 3-1 on July 31, 2011.
Goalscorers
- 36′Mathias Dyring TauberLyngby
- 42′Bradford RusinHB Koge
- 45′Mathias Dyring TauberLyngby
- 72′Emil LarsenLyngby
Official lineup for Lyngby vs HB Koge
The starting elevens fielded at kick-off.
Lyngby
- 8P. Madsen
- 11P. Mortensen
- 10Kim Engel Aabech
- 15Emil Larsen
- 18M. Bertolt
- 20J. Brandrup
- 21A. Christiansen
- 2D. Cagara
- 4J. Bresemann
- 14Mathias Dyring Tauber
- 1R. Pedersen
HB Koge
- 9S. Makienok
- 24L. Rochester Sørensen
- 6N. Madsen
- 7B. Storm
- 8M. Rømer
- 11Adeola Lanre Runsewe
- 2Andreas Sørensen
- 5S. Hansen
- 15Bradford Rusin
- 17Thomas Sørensen
- 1Morten Haastrup Jensen
What is the recent form of both teams?
Over their last 2 matches in all competitions, Lyngby have 0 wins, 0 draws and 2 defeats; HB Koge have 0, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2011 | Sonderjyske(home) | 0-1 | Superliga |
| Jul 18, 2011 | Aarhus(away) | 1-2 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 25, 2011 | FC Midtjylland(home) | 2-3 | Superliga |
| Jul 17, 2011 | AC Horsens(away) | 0-3 | Superliga |
How many goals should we expect?
Lyngby score 0.5 and concede 1.5 goals per match over their last 2; HB Koge score 1.0 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyngby | 0.5 | 1.5 | 0 | 1/2 | 1/2 |
| HB Koge | 1.0 | 3.0 | 0 | 1/2 | 2/2 |
Over the last 2 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Lyngby | 10 | 1 | 4 | 5 | 12 | 21 | 7 |
A question about Lyngby vs HB Koge?
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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