Nykobing FC vs Naestved: result 1-2 and analysis
1. DivisionRegular Season - 15Kick-off on October 30, 2016 at 12:45 PM (UTC)Lollands Bank Park, Nykøbing Falster
Full time
What was the result of Nykobing FC vs Naestved?
Naestved won 1-2 on October 30, 2016.
Goalscorers
- 4′January BernerNykobing FC
- 18′M. JensenNaestved
- 80′S. HansenNaestved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nykobing FC have 6 wins, 4 draws and 5 defeats; Naestved have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | Fremad Amager(away) | 0-1 | 1. Division |
| Oct 16, 2016 | AB Copenhagen(home) | 2-3 | 1. Division |
| Oct 2, 2016 | Roskilde(home) | 1-1 | 1. Division |
| Sep 28, 2016 | Fremad Amager(home) | 1-1 | 1. Division |
| Sep 23, 2016 | Vejle(away) | 0-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2016 | FC Helsingor(home) | 5-1 | 1. Division |
| Oct 16, 2016 | Hobro(away) | 1-4 | 1. Division |
| Oct 10, 2016 | HB Koge(home) | 1-1 | 1. Division |
| Oct 2, 2016 | FC Fredericia(away) | 1-3 | 1. Division |
| Sep 25, 2016 | Fremad Amager(home) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 1 Nykobing FC win(s), 1 draw(s), 0 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 5, 2016 | Nykobing FC 4-4 Naestved | DBU Pokalen |
| Jul 24, 2016 | Naestved 0-1 Nykobing FC | 1. Division |
Last archived meeting: Nykobing FC vs Naestved on Sep 5, 2016
How many goals should we expect?
Nykobing FC score 1.7 and concede 1.4 goals per match over their last 15; Naestved score 1.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nykobing FC | 1.7 | 1.4 | 3 | 8/15 | 8/15 |
| Naestved | 1.7 | 1.9 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
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