Marienlyst vs Frem: result 0-1 and analysis
2nd Division - Group 2Regular Season - 8Kick-off on September 15, 2018 at 12:00 PM (UTC)Marienlystcentret, Odense
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What was the result of Marienlyst vs Frem?
Frem won 0-1 on September 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Marienlyst have 4 wins, 4 draws and 7 defeats; Frem 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 |
|---|---|---|---|
| Sep 4, 2018 | Herlev(away) | 4-4 | DBU Pokalen |
| Sep 1, 2018 | Avarta(home) | 1-4 | 2nd Division - Group 2 |
| Aug 25, 2018 | Vanløse(away) | 0-1 | 2nd Division - Group 2 |
| Aug 22, 2018 | Middelfart(home) | 1-2 | 2nd Division - Group 2 |
| Aug 18, 2018 | B 93(home) | 1-2 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 11, 2018 | Vejle(home) | 3-4 | DBU Pokalen |
| Sep 8, 2018 | B 93(home) | 0-1 | 2nd Division - Group 2 |
| Sep 1, 2018 | Hillerød(away) | 1-2 | 2nd Division - Group 2 |
| Aug 25, 2018 | Middelfart(away) | 1-0 | 2nd Division - Group 2 |
| Aug 22, 2018 | Brønshøj(home) | 2-0 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Marienlyst win(s), 1 draw(s), 0 Frem win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2015 | Marienlyst 2-0 Frem | 2nd Division - Group 2 |
| Sep 19, 2015 | Frem 1-1 Marienlyst | 2nd Division - Group 2 |
How many goals should we expect?
Marienlyst score 1.7 and concede 1.8 goals per match over their last 15; Frem score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Marienlyst | 1.7 | 1.8 | 3 | 10/15 | 9/15 |
| Frem | 1.9 | 1.6 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Frem | 17 | 6 | 7 | 4 | 26 | 22 | 25 |
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