Marienlyst vs Kolding IF: result 2-0 and analysis
2nd Division - Group 2Regular Season - 3Kick-off on August 18, 2017 at 04:30 PM (UTC)Marienlystcentret, Odense
Full time
What was the result of Marienlyst vs Kolding IF?
Marienlyst won 2-0 on August 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 5 wins, 4 draws and 6 defeats; Kolding IF have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | Næsby(away) | 3-1 | 2nd Division - Group 2 |
| Aug 8, 2017 | Otterup(away) | 2-3 | DBU Pokalen |
| Aug 5, 2017 | Middelfart(home) | 3-1 | 2nd Division - Group 2 |
| Mar 8, 2017 | Brondby(home) | 1-4 | DBU Pokalen |
| Nov 5, 2016 | Svendborg(home) | 2-0 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2017 | Greve(home) | 2-1 | 2nd Division - Group 2 |
| Aug 8, 2017 | Tåsinge(away) | 5-0 | DBU Pokalen |
| Aug 4, 2017 | Dalum(away) | 4-1 | 2nd Division - Group 2 |
| Nov 5, 2016 | Næsby(home) | 4-3 | 2nd Division - Group 2 |
| Oct 29, 2016 | Svendborg(away) | 2-1 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Marienlyst win(s), 0 draw(s), 1 Kolding IF win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Marienlyst 1-2 Kolding IF | 2nd Division - Group 2 |
| Aug 5, 2016 | Kolding IF 1-2 Marienlyst | 2nd Division - Group 2 |
Last archived meeting: Marienlyst vs Kolding IF on Oct 1, 2016
How many goals should we expect?
Marienlyst score 1.5 and concede 1.7 goals per match over their last 15; Kolding IF score 2.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 1.5 | 1.7 | 4 | 9/15 | 9/15 |
| Kolding IF | 2.9 | 1.5 | 1 | 13/15 | 13/15 |
Over the last 15 matches in all competitions.
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