Marienlyst vs Vejle: result 0-3 and analysis
1. DivisionRegular Season - 14Kick-off on October 26, 2013 at 01:00 PM (UTC)Marienlystcentret, Odense
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What was the result of Marienlyst vs Vejle?
Vejle won 0-3 on October 26, 2013.
Goalscorers
- 18′A. AlbersVejle
- 25′Christian SivebækVejle
- 57′Nicolaj Moesgaard AggerVejle
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 3 wins, 2 draws and 10 defeats; Vejle have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2013 | Lyngby(away) | 1-3 | 1. Division |
| Oct 6, 2013 | AC Horsens(away) | 2-2 | 1. Division |
| Sep 29, 2013 | Hvidovre(away) | 2-3 | 1. Division |
| Sep 19, 2013 | Silkeborg(home) | 1-2 | 1. Division |
| Sep 15, 2013 | Lyngby(away) | 0-4 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2013 | Brønshøj(home) | 0-0 | 1. Division |
| Oct 11, 2013 | Hvidovre(away) | 4-0 | 1. Division |
| Oct 6, 2013 | Hvidovre(home) | 2-0 | 1. Division |
| Oct 2, 2013 | Silkeborg(home) | 3-0 | 1. Division |
| Sep 29, 2013 | Brønshøj(home) | 0-1 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Marienlyst win(s), 0 draw(s), 0 Vejle win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2013 | Marienlyst 2-1 Vejle | 1. Division |
How many goals should we expect?
Marienlyst score 1.3 and concede 2.3 goals per match over their last 15; Vejle score 2.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 1.3 | 2.3 | 1 | 10/15 | 13/15 |
| Vejle | 2.4 | 0.9 | 7 | 7/15 | 9/15 |
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 | Vejle | 5 | 4 | 1 | 0 | 16 | 10 | 13 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy