Lyngby vs Naestved: result 3-1 and analysis
1. DivisionRegular Season - 9Kick-off on September 18, 2015 at 06:45 PM (UTC)Lyngby Stadion, Lyngby
Full time
What was the result of Lyngby vs Naestved?
Lyngby won 3-1 on September 18, 2015.
Goalscorers
- 54′D. BoysenLyngby
- 58′F. GytkjærLyngby
- 60′Thomas SørensenNaestved (o.g.)
- 85′D. BoysenLyngby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyngby have 9 wins, 2 draws and 4 defeats; Naestved have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2015 | Roskilde(away) | 0-2 | 1. Division |
| Sep 6, 2015 | Vejle(home) | 3-2 | 1. Division |
| Sep 2, 2015 | LSF(away) | 5-0 | DBU Pokalen |
| Aug 28, 2015 | FC Helsingor(home) | 4-1 | 1. Division |
| Aug 23, 2015 | FC Fredericia(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2015 | Vestsjælland(away) | 2-0 | 1. Division |
| Sep 6, 2015 | Roskilde(home) | 1-1 | 1. Division |
| Aug 30, 2015 | FC Fredericia(home) | 0-2 | 1. Division |
| Aug 25, 2015 | FC Nordsjaelland(home) | 1-0 | DBU Pokalen |
| Aug 20, 2015 | Vejle(away) | 0-1 | 1. Division |
How many goals should we expect?
Lyngby score 2.3 and concede 1.3 goals per match over their last 15; Naestved score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyngby | 2.3 | 1.3 | 4 | 10/15 | 11/15 |
| Naestved | 1.7 | 1.4 | 3 | 8/15 | 8/15 |
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 | Lyngby | 32 | 18 | 6 | 8 | 69 | 36 | 60 |
A question about Lyngby vs Naestved?
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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