Naestved vs Viborg: result 1-0 and analysis
1. DivisionRegular Season - 20Kick-off on March 3, 2019 at 12:45 PM (UTC)MTM Service Park, Næstved
Full time
What was the result of Naestved vs Viborg?
Naestved won 1-0 on March 3, 2019.
Goalscorers
- 81′A. MoosNaestved
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naestved have 7 wins, 4 draws and 4 defeats; Viborg have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2018 | FC Fredericia(away) | 0-3 | 1. Division |
| Nov 18, 2018 | Nykobing FC(home) | 1-0 | 1. Division |
| Nov 11, 2018 | Hvidovre(home) | 1-1 | 1. Division |
| Nov 4, 2018 | Fremad Amager(away) | 0-1 | 1. Division |
| Oct 31, 2018 | Aarhus(home) | 2-1 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2018 | Nykobing FC(away) | 0-3 | 1. Division |
| Nov 18, 2018 | Thisted FC(home) | 2-0 | 1. Division |
| Nov 12, 2018 | FC Helsingor(away) | 3-1 | 1. Division |
| Nov 4, 2018 | Lyngby(home) | 0-1 | 1. Division |
| Oct 28, 2018 | Roskilde(away) | 1-3 | 1. Division |
What does the head-to-head say?
Across the last 3 meetings: 0 Naestved wins, 0 draws, 3 Viborg wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2018 | Viborg 2-1 Naestved | 1. Division |
| May 27, 2012 | Viborg 2-0 Naestved | 1. Division |
| Oct 16, 2011 | Naestved 0-3 Viborg | 1. Division |
How many goals should we expect?
Naestved score 1.3 and concede 1.2 goals per match over their last 15; Viborg score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naestved | 1.3 | 1.2 | 4 | 9/15 | 7/15 |
| Viborg | 2.2 | 1.5 | 2 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Naestved vs Viborg?
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