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 wins, 0 draws, 0 Naestved wins.
| 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.
A question about Vestsjælland 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