Vestsjælland vs Naestved: result 0-2 and analysis
1. DivisionRegular Season - 8Kick-off on September 13, 2015 at 01:00 PM (UTC)Harboe Arena Slagelse, Slagelse
Full time
What was the result of Vestsjælland vs Naestved?
Naestved won 0-2 on September 13, 2015.
Goalscorers
- 10′M. RygaardNaestved
- 30′M. RygaardNaestved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vestsjælland have 4 wins, 5 draws and 6 defeats; Naestved have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2015 | HB Koge(away) | 1-2 | 1. Division |
| Sep 2, 2015 | Avedøre(away) | 3-0 | DBU Pokalen |
| Aug 30, 2015 | Vendsyssel FF(away) | 2-4 | 1. Division |
| Aug 23, 2015 | Roskilde(home) | 0-0 | 1. Division |
| Aug 15, 2015 | FC Fredericia(home) | 0-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 16, 2015 | HB Koge(away) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Vestsjælland win(s), 0 draw(s), 0 Naestved win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2012 | Naestved 1-2 Vestsjælland | 1. Division |
| Aug 28, 2011 | Vestsjælland 5-1 Naestved | 1. Division |
Last archived meeting: Naestved vs Vestsjælland on Apr 9, 2012
How many goals should we expect?
Vestsjælland score 1.5 and concede 1.3 goals per match over their last 15; Naestved score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vestsjælland | 1.5 | 1.3 | 6 | 9/15 | 10/15 |
| Naestved | 1.7 | 1.7 | 2 | 9/15 | 9/15 |
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