Fyn vs Lyngby: result 0-3 and analysis
1. DivisionRegular Season - 24Kick-off on April 7, 2013 at 01:00 PM (UTC)TRE-FOR Park
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What was the result of Fyn vs Lyngby?
Lyngby won 0-3 on April 7, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fyn have 1 win, 3 draws and 11 defeats; Lyngby have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2013 | FC Fredericia(away) | 0-3 | 1. Division |
| Apr 1, 2013 | AB Copenhagen(home) | 0-3 | 1. Division |
| Mar 28, 2013 | Brønshøj(away) | 0-3 | 1. Division |
| Mar 24, 2013 | Hobro(home) | 0-3 | 1. Division |
| Nov 25, 2012 | Vendsyssel FF(away) | 0-5 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2013 | HB Koge(home) | 2-1 | 1. Division |
| Apr 1, 2013 | Vestsjælland(away) | 0-2 | 1. Division |
| Mar 28, 2013 | Skive(home) | 1-0 | 1. Division |
| Nov 28, 2012 | Esbjerg(home) | 1-2 | DBU Pokalen |
| Nov 25, 2012 | Vejle(away) | 0-2 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Fyn wins, 1 draw, 1 Lyngby win.
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2012 | Lyngby 3-3 Fyn | 1. Division |
| Jul 29, 2012 | Lyngby 3-2 Fyn | 1. Division |
How many goals should we expect?
Fyn score 0.9 and concede 2.7 goals per match over their last 15; Lyngby score 1.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fyn | 0.9 | 2.7 | 1 | 6/15 | 11/15 |
| Lyngby | 1.2 | 1.4 | 3 | 8/15 | 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 Fyn vs Lyngby?
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