Frem vs Marienlyst: result 1-1 and analysis
2nd Division - Group 2Regular Season - 7Kick-off on September 19, 2015 at 01:00 PM (UTC)Valby Idrætspark, København
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What was the result of Frem vs Marienlyst?
Frem and Marienlyst drew 1-1 on September 19, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frem have 7 wins, 4 draws and 4 defeats; Marienlyst have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2015 | Nykobing FC(away) | 0-0 | 2nd Division - Group 2 |
| Sep 5, 2015 | B 93(home) | 0-1 | 2nd Division - Group 2 |
| Aug 29, 2015 | Dalum(away) | 3-1 | 2nd Division - Group 2 |
| Aug 22, 2015 | Svendborg(home) | 4-0 | 2nd Division - Group 2 |
| Aug 15, 2015 | Næsby(home) | 2-2 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 12, 2015 | Næsby(home) | 3-1 | 2nd Division - Group 2 |
| Sep 6, 2015 | Fremad Amager(away) | 2-2 | 2nd Division - Group 2 |
| Sep 1, 2015 | Viborg(home) | 1-5 | DBU Pokalen |
| Aug 29, 2015 | Svendborg(away) | 1-1 | 2nd Division - Group 2 |
| Aug 22, 2015 | Nykobing FC(home) | 1-3 | 2nd Division - Group 2 |
How many goals should we expect?
Frem score 2.1 and concede 1.1 goals per match over their last 15; Marienlyst score 1.7 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frem | 2.1 | 1.1 | 4 | 9/15 | 12/15 |
| Marienlyst | 1.7 | 2.2 | 1 | 12/15 | 12/15 |
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 |
A question about Frem vs Marienlyst?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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