Vejle vs Silkeborg: result 1-2 and analysis
1. DivisionRegular Season - 16Kick-off on November 7, 2013 at 05:30 PM (UTC)Vejle Stadion, Vejle
Full time
What was the result of Vejle vs Silkeborg?
Silkeborg won 1-2 on November 7, 2013.
Goalscorers
- 15′D. FlintaSilkeborg
- 25′Rasmus Grønborg HansenVejle
- 81′M. BeckSilkeborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vejle have 8 wins, 4 draws and 3 defeats; Silkeborg 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 |
|---|---|---|---|
| Nov 3, 2013 | Lyngby(home) | 0-0 | 1. Division |
| Oct 29, 2013 | Vestsjælland(home) | 2-1 | DBU Pokalen |
| Oct 26, 2013 | Marienlyst(away) | 3-0 | 1. Division |
| Oct 20, 2013 | Brønshøj(home) | 0-0 | 1. Division |
| Oct 11, 2013 | Hvidovre(away) | 4-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2013 | HB Koge(home) | 1-1 | 1. Division |
| Oct 27, 2013 | Lyngby(away) | 0-0 | 1. Division |
| Oct 20, 2013 | AB Copenhagen(home) | 5-0 | 1. Division |
| Oct 6, 2013 | Vendsyssel FF(home) | 1-2 | 1. Division |
| Oct 2, 2013 | Vejle(away) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 1 meetings: 1 Vejle win(s), 0 draw(s), 0 Silkeborg win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2013 | Vejle 3-0 Silkeborg | 1. Division |
How many goals should we expect?
Vejle score 2.3 and concede 0.8 goals per match over their last 15; Silkeborg score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vejle | 2.3 | 0.8 | 8 | 6/15 | 9/15 |
| Silkeborg | 1.6 | 1.5 | 3 | 8/15 | 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