Lyngby vs Viborg: result 1-0 and analysis
DBU Pokalen3rd RoundKick-off on October 2, 2013 at 05:00 PM (UTC)Lyngby Stadion, Lyngby
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What was the result of Lyngby vs Viborg?
Lyngby won 1-0 on October 2, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyngby have 8 wins, 0 draws and 7 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 |
|---|---|---|---|
| Sep 29, 2013 | AC Horsens(away) | 1-3 | 1. Division |
| Sep 22, 2013 | Hvidovre(home) | 2-0 | 1. Division |
| Sep 15, 2013 | Marienlyst(home) | 4-0 | 1. Division |
| Sep 8, 2013 | FC Fredericia(away) | 5-2 | 1. Division |
| Sep 1, 2013 | Hobro(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2013 | Vestsjælland(home) | 2-0 | Superliga |
| Sep 21, 2013 | FC Midtjylland(away) | 0-0 | Superliga |
| Sep 15, 2013 | Aarhus(away) | 1-0 | Superliga |
| Sep 1, 2013 | FC Copenhagen(home) | 1-4 | Superliga |
| Aug 28, 2013 | Jammerbugt(away) | 1-0 | DBU Pokalen |
What does the head-to-head say?
Across the last 3 meetings: 1 Lyngby win, 0 draws, 2 Viborg wins.
| Date | Score | Competition |
|---|---|---|
| Apr 24, 2013 | Viborg 2-0 Lyngby | 1. Division |
| Oct 21, 2012 | Lyngby 0-2 Viborg | 1. Division |
| Aug 26, 2012 | Lyngby 2-1 Viborg | 1. Division |
How many goals should we expect?
Lyngby score 2.3 and concede 1.4 goals per match over their last 15; Viborg score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyngby | 2.3 | 1.4 | 6 | 6/15 | 10/15 |
| Viborg | 1.9 | 1.2 | 7 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Lyngby 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