Naestved vs Skive: result 0-1 and analysis
1. DivisionRegular Season - 10Kick-off on September 27, 2015 at 01:00 PM (UTC)MTM Service Park, Næstved
Full time
What was the result of Naestved vs Skive?
Skive won 0-1 on September 27, 2015.
Goalscorers
- 64′J. HenriksenSkive
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 4 wins, 2 draws and 9 defeats; Skive have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2015 | FC Midtjylland(home) | 0-3 | DBU Pokalen |
| Sep 18, 2015 | Lyngby(away) | 1-3 | 1. Division |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2015 | Kolding IF(away) | 3-1 | DBU Pokalen |
| Sep 18, 2015 | Roskilde(home) | 1-1 | 1. Division |
| Sep 13, 2015 | Vejle(away) | 1-3 | 1. Division |
| Sep 8, 2015 | Odder(away) | 1-0 | DBU Pokalen |
| Aug 28, 2015 | AC Horsens(home) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Naestved wins, 1 draw, 1 Skive win.
| Date | Score | Competition |
|---|---|---|
| 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 1.2 and concede 1.7 goals per match over their last 15; Skive score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.2 | 1.7 | 3 | 7/15 | 8/15 |
| Skive | 1.4 | 1.3 | 2 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Naestved vs Skive?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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