Lyngby vs Esbjerg: result 3-0 and analysis
DBU Pokalen8th FinalsKick-off on October 31, 2013 at 07:15 PM (UTC)Lyngby Stadion, Lyngby
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What was the result of Lyngby vs Esbjerg?
Lyngby won 3-0 on October 31, 2013.
Goalscorers
- 15′B. BlumeLyngby
- 38′P. MortensenLyngby
- 87′D. BoysenLyngby
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lyngby have 11 wins, 1 draw and 3 defeats; Esbjerg have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2013 | Silkeborg(home) | 0-0 | 1. Division |
| Oct 20, 2013 | Marienlyst(home) | 3-1 | 1. Division |
| Oct 12, 2013 | Brønshøj(away) | 2-1 | 1. Division |
| Oct 6, 2013 | AB Copenhagen(home) | 2-1 | 1. Division |
| Oct 2, 2013 | Viborg(home) | 1-0 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2013 | Aarhus(home) | 0-2 | Superliga |
| Oct 20, 2013 | Vestsjælland(away) | 1-2 | Superliga |
| Oct 6, 2013 | Odense(home) | 1-3 | Superliga |
| Sep 29, 2013 | Sonderjyske(home) | 4-1 | Superliga |
| Sep 26, 2013 | Aalborg Chang(away) | 7-1 | DBU Pokalen |
What does the head-to-head say?
In the last meeting: 0 Lyngby wins, 0 draws, 1 Esbjerg win.
| Date | Score | Competition |
|---|---|---|
| Nov 28, 2012 | Lyngby 1-2 Esbjerg | DBU Pokalen |
How many goals should we expect?
Lyngby score 2.4 and concede 1.0 goals per match over their last 15; Esbjerg score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lyngby | 2.4 | 1.0 | 7 | 8/15 | 11/15 |
| Esbjerg | 2.2 | 1.5 | 2 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Lyngby vs Esbjerg?
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