Naestved vs Viborg: result 0-3 and analysis
1. DivisionRegular Season - 10Kick-off on October 16, 2011 at 01:00 PM (UTC)Tved Stadion, Næstved
Full time
What was the result of Naestved vs Viborg?
Viborg won 0-3 on October 16, 2011.
Goalscorers
- 7′Ken Göran FagerbergViborg
- 12′Ken Göran FagerbergViborg
- 88′Eduardo Delani Santos LeiteViborg (pen.)
What is the recent form of both teams?
Over their last 9 matches in all competitions, Naestved have 1 win, 2 draws and 6 defeats; Viborg have 3, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 11, 2011 | Vendsyssel FF(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 7, 2011 | Jammerbugt(home) | 4-2 | 1. Division |
| Oct 1, 2011 | Hobro(away) | 1-1 | 1. Division |
| Sep 25, 2011 | Brønshøj(home) | 1-1 | 1. Division |
| Sep 16, 2011 | Randers FC(away) | 0-1 | 1. Division |
| Sep 9, 2011 | Vejle(home) | 1-1 | 1. Division |
How many goals should we expect?
Naestved score 1.1 and concede 2.6 goals per match over their last 9; Viborg score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.1 | 2.6 | 1 | 5/9 | 5/9 |
| Viborg | 1.3 | 0.8 | 3 | 4/9 | 2/9 |
Over the last 9 matches in all competitions.
A question about Naestved vs Viborg?
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