Vanløse vs KFUM Roskilde: result 5-1 and analysis
Denmark Series - Group 1Regular Season - 3Kick-off on August 23, 2016 at 04:15 PM (UTC)Vanløse IP, Vanløse
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What was the result of Vanløse vs KFUM Roskilde?
Vanløse won 5-1 on August 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vanløse have 7 wins, 1 draws and 7 defeats; KFUM Roskilde have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Kastrup(away) | 2-0 | Denmark Series - Group 1 |
| Aug 9, 2016 | Frem(home) | 3-4 | DBU Pokalen |
| Aug 6, 2016 | Herlev(home) | 0-2 | Denmark Series - Group 1 |
| Jun 11, 2016 | Hillerød(home) | 1-0 | Denmark Series - Group 1 |
| Jun 4, 2016 | Jægersborg(away) | 1-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 13, 2016 | Jægersborg(home) | 3-2 | Denmark Series - Group 1 |
| Aug 9, 2016 | Jyderup(away) | 7-1 | DBU Pokalen |
| Aug 6, 2016 | Hillerød(away) | 3-1 | Denmark Series - Group 1 |
| Jun 11, 2016 | Varde IF Elite(away) | 3-1 | Denmark Series - Group 2 |
| Jun 4, 2016 | Greve(home) | 2-2 | Denmark Series - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 Vanløse win(s), 0 draw(s), 2 KFUM Roskilde win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 6, 2015 | Vanløse 0-2 KFUM Roskilde | Denmark Series - Group 1 |
| Aug 23, 2014 | KFUM Roskilde 3-0 Vanløse | Denmark Series - Group 1 |
Last archived meeting: Vanløse vs KFUM Roskilde on Apr 6, 2015
How many goals should we expect?
Vanløse score 1.4 and concede 1.5 goals per match over their last 15; KFUM Roskilde score 3.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vanløse | 1.4 | 1.5 | 6 | 6/15 | 7/15 |
| KFUM Roskilde | 3.9 | 1.6 | 2 | 13/15 | 15/15 |
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