Naestved vs Skive: result 1-3 and analysis
1. DivisionRegular Season - 22Kick-off on March 24, 2016 at 12:45 PM (UTC)MTM Service Park, Næstved
Full time
What was the result of Naestved vs Skive?
Skive won 1-3 on March 24, 2016.
Goalscorers
- 8′M. UhreSkive
- 81′Musefiu Olasunkanmi AshiruSkive
- 86′J. ChristiansenNaestved
- 90′Razak Adebayo OdeyemiSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 5 wins, 2 draws and 8 defeats; Skive 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 |
|---|---|---|---|
| Mar 20, 2016 | FC Fredericia(away) | 1-2 | 1. Division |
| Mar 13, 2016 | Vejle(away) | 2-1 | 1. Division |
| Nov 29, 2015 | AC Horsens(away) | 3-1 | 1. Division |
| Nov 22, 2015 | Vestsjælland(home) | 2-3 | 1. Division |
| Nov 15, 2015 | Silkeborg(home) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 20, 2016 | Silkeborg(home) | 1-1 | 1. Division |
| Mar 13, 2016 | Lyngby(away) | 1-1 | 1. Division |
| Mar 6, 2016 | FC Helsingor(away) | 1-2 | 1. Division |
| Mar 2, 2016 | Brondby(home) | 0-3 | DBU Pokalen |
| Nov 29, 2015 | Roskilde(home) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Naestved win(s), 1 draw(s), 2 Skive win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 27, 2015 | Naestved 0-1 Skive | 1. Division |
| Jun 2, 2012 | Naestved 2-2 Skive | 1. Division |
| Oct 23, 2011 | Skive 1-0 Naestved | 1. Division |
How many goals should we expect?
Naestved score 1.1 and concede 1.5 goals per match over their last 15; Skive score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.1 | 1.5 | 3 | 8/15 | 8/15 |
| Skive | 0.9 | 1.3 | 3 | 6/15 | 5/15 |
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