Skive vs Naestved: result 1-0 and analysis
1. DivisionRegular Season - 11Kick-off on October 23, 2011 at 01:00 PM (UTC)Hancock Arena, Skive
Full time
What was the result of Skive vs Naestved?
Skive won 1-0 on October 23, 2011.
Goalscorers
- 44′Thomas DalgaardSkive
What is the recent form of both teams?
Over their last 10 matches in all competitions, Skive have 2 wins, 3 draws and 5 defeats; Naestved have 1, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2011 | Roskilde(home) | 2-1 | 1. Division |
| Oct 9, 2011 | AB Copenhagen(away) | 2-3 | 1. Division |
| Oct 2, 2011 | Vendsyssel FF(home) | 1-3 | 1. Division |
| Sep 25, 2011 | Vestsjælland(away) | 0-0 | 1. Division |
| Sep 18, 2011 | Esbjerg(home) | 0-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2011 | Viborg(home) | 0-3 | 1. Division |
| Oct 9, 2011 | Roskilde(away) | 0-2 | 1. Division |
| Oct 2, 2011 | Jammerbugt(home) | 1-1 | 1. Division |
| Sep 23, 2011 | AB Copenhagen(away) | 0-3 | 1. Division |
| Sep 18, 2011 | Hobro(home) | 2-2 | 1. Division |
How many goals should we expect?
Skive score 0.9 and concede 2.0 goals per match over their last 10; Naestved score 1.0 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 0.9 | 2.0 | 3 | 6/10 | 6/10 |
| Naestved | 1.0 | 2.6 | 1 | 5/10 | 6/10 |
Over the last 10 matches in all competitions.
A question about Skive vs Naestved?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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