Silkeborg vs Marienlyst: result 2-0 and analysis
1. DivisionRegular Season - 24Kick-off on April 21, 2014 at 11:45 AM (UTC)JYSK park, Silkeborg
Full time
What was the result of Silkeborg vs Marienlyst?
Silkeborg won 2-0 on April 21, 2014.
Goalscorers
- 16′D. PedersenSilkeborg
- 86′C. SørensenSilkeborg
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silkeborg have 8 wins, 2 draws and 5 defeats; Marienlyst have 1, 1 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2014 | AB Copenhagen(away) | 5-1 | 1. Division |
| Apr 12, 2014 | AC Horsens(home) | 1-3 | 1. Division |
| Apr 6, 2014 | Brønshøj(home) | 0-1 | 1. Division |
| Mar 27, 2014 | Hobro(away) | 1-0 | 1. Division |
| Mar 23, 2014 | Hvidovre(home) | 2-0 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2014 | Lyngby(home) | 0-3 | 1. Division |
| Apr 12, 2014 | Brønshøj(home) | 1-3 | 1. Division |
| Apr 4, 2014 | Hvidovre(away) | 0-2 | 1. Division |
| Mar 29, 2014 | Vendsyssel FF(home) | 2-3 | 1. Division |
| Mar 23, 2014 | HB Koge(away) | 0-3 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 2 Silkeborg wins, 0 draws, 0 Marienlyst wins.
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2013 | Marienlyst 1-3 Silkeborg | 1. Division |
| Sep 19, 2013 | Marienlyst 1-2 Silkeborg | 1. Division |
Last archived meeting: Marienlyst vs Silkeborg on Dec 1, 2013
How many goals should we expect?
Silkeborg score 1.7 and concede 1.0 goals per match over their last 15; Marienlyst score 0.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silkeborg | 1.7 | 1.0 | 6 | 7/15 | 8/15 |
| Marienlyst | 0.9 | 2.7 | 0 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Silkeborg vs Marienlyst?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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