Skjold Sæby vs Vanløse: result 1-2 and analysis
Denmark Series - Group 1Regular Season - 3Kick-off on August 22, 2015 at 01:30 PM (UTC)Birkerød Stadion, Birkerød
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What was the result of Skjold Sæby vs Vanløse?
Vanløse won 1-2 on August 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 3 wins, 3 draws and 9 defeats; Vanløse have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | Herlev(away) | 1-0 | Denmark Series - Group 1 |
| Aug 11, 2015 | Thisted FC(home) | 1-7 | DBU Pokalen |
| Aug 8, 2015 | Allerød(home) | 1-1 | Denmark Series - Group 1 |
| Aug 14, 2013 | Roskilde(home) | 1-4 | DBU Pokalen |
| Jun 15, 2013 | Skovshoved(away) | 2-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 15, 2015 | FA 2000(home) | 3-1 | Denmark Series - Group 1 |
| Aug 12, 2015 | Jægersborg(away) | 1-3 | DBU Pokalen |
| Aug 8, 2015 | LSF(away) | 2-2 | Denmark Series - Group 1 |
| Jun 20, 2015 | Taastrup(away) | 3-0 | Denmark Series - Group 1 |
| Jun 13, 2015 | NB Bornholm(home) | 0-0 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Skjold Sæby win(s), 0 draw(s), 2 Vanløse win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 19, 2013 | Vanløse 2-1 Skjold Sæby | Denmark Series - Group 1 |
| Sep 4, 2012 | Skjold Sæby 0-3 Vanløse | Denmark Series - Group 1 |
Last archived meeting: Vanløse vs Skjold Sæby on Apr 19, 2013
How many goals should we expect?
Skjold Sæby score 0.9 and concede 2.3 goals per match over their last 15; Vanløse score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 0.9 | 2.3 | 4 | 8/15 | 9/15 |
| Vanløse | 1.6 | 1.4 | 4 | 8/15 | 8/15 |
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