Svendborg vs Frem: result 0-4 and analysis
2nd Division - Group 2Regular Season - 11Kick-off on October 17, 2015 at 01:00 PM (UTC)Høje Bøge Stadion, Svendborg
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What was the result of Svendborg vs Frem?
Frem won 0-4 on October 17, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Svendborg have 5 wins, 3 draws and 7 defeats; Frem have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2015 | Nykobing FC(away) | 0-1 | 2nd Division - Group 2 |
| Oct 3, 2015 | Næsby(home) | 3-0 | 2nd Division - Group 2 |
| Sep 26, 2015 | B 93(home) | 0-3 | 2nd Division - Group 2 |
| Sep 19, 2015 | B 93(away) | 1-3 | 2nd Division - Group 2 |
| Sep 12, 2015 | Fremad Amager(home) | 0-5 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 10, 2015 | Næsby(away) | 3-0 | 2nd Division - Group 2 |
| Oct 3, 2015 | Fremad Amager(home) | 2-0 | 2nd Division - Group 2 |
| Sep 26, 2015 | Marienlyst(away) | 0-2 | 2nd Division - Group 2 |
| Sep 19, 2015 | Marienlyst(home) | 1-1 | 2nd Division - Group 2 |
| Sep 13, 2015 | Nykobing FC(away) | 0-0 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Svendborg win(s), 0 draw(s), 1 Frem win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2015 | Frem 4-0 Svendborg | 2nd Division - Group 2 |
How many goals should we expect?
Svendborg score 1.5 and concede 1.9 goals per match over their last 15; Frem score 1.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Svendborg | 1.5 | 1.9 | 4 | 6/15 | 11/15 |
| Frem | 1.7 | 1.0 | 5 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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