Skive vs Lyngby: result 0-1 and analysis
1. DivisionRegular Season - 28Kick-off on April 28, 2013 at 01:00 PM (UTC)Hancock Arena, Skive
Full time
What was the result of Skive vs Lyngby?
Lyngby won 0-1 on April 28, 2013.
Goalscorers
- 41′P. MortensenLyngby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skive have 4 wins, 4 draws and 7 defeats; Lyngby have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2013 | Fyn(away) | 3-0 | 1. Division |
| Apr 20, 2013 | HB Koge(home) | 0-1 | 1. Division |
| Apr 14, 2013 | FC Fredericia(away) | 2-3 | 1. Division |
| Apr 10, 2013 | Vestsjælland(home) | 2-2 | 1. Division |
| Apr 7, 2013 | Vejle(away) | 1-3 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2013 | Viborg(away) | 0-2 | 1. Division |
| Apr 21, 2013 | Vendsyssel FF(home) | 2-1 | 1. Division |
| Apr 14, 2013 | Vestsjælland(home) | 0-1 | 1. Division |
| Apr 7, 2013 | Fyn(away) | 3-0 | 1. Division |
| Apr 4, 2013 | HB Koge(home) | 2-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Skive wins, 0 draws, 2 Lyngby wins.
| Date | Score | Competition |
|---|---|---|
| Mar 28, 2013 | Lyngby 1-0 Skive | 1. Division |
| Sep 9, 2012 | Lyngby 5-1 Skive | 1. Division |
How many goals should we expect?
Skive score 1.7 and concede 1.7 goals per match over their last 15; Lyngby score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skive | 1.7 | 1.7 | 3 | 8/15 | 10/15 |
| Lyngby | 1.1 | 1.3 | 3 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Lyngby | 32 | 18 | 6 | 8 | 69 | 36 | 60 |
A question about Skive vs Lyngby?
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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