Vanløse vs BSF: result 1-0 and analysis
Denmark Series - Group 1Regular Season - 19Kick-off on May 2, 2015 at 01:00 PM (UTC)Vanløse IP, Vanløse
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What was the result of Vanløse vs BSF?
Vanløse won 1-0 on May 2, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vanløse have 5 wins, 4 draws and 6 defeats; BSF have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2015 | Kastrup(away) | 2-2 | Denmark Series - Group 1 |
| Apr 18, 2015 | Fredensborg BI(home) | 1-0 | Denmark Series - Group 1 |
| Apr 11, 2015 | Jægersborg(away) | 0-1 | Denmark Series - Group 1 |
| Apr 6, 2015 | KFUM Roskilde(home) | 0-2 | Denmark Series - Group 1 |
| Mar 28, 2015 | Fremad Valby(away) | 3-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 25, 2015 | Taastrup(home) | 0-4 | Denmark Series - Group 1 |
| Apr 19, 2015 | NB Bornholm(away) | 2-0 | Denmark Series - Group 1 |
| Apr 11, 2015 | AB Tårnby(home) | 0-2 | Denmark Series - Group 1 |
| Apr 6, 2015 | Skjold Birkerød(away) | 4-0 | Denmark Series - Group 1 |
| Mar 28, 2015 | SC Egedal(home) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 Vanløse win(s), 0 draw(s), 2 BSF win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 20, 2014 | BSF 1-0 Vanløse | Denmark Series - Group 1 |
| May 11, 2013 | BSF 2-0 Vanløse | Denmark Series - Group 1 |
| Sep 22, 2012 | Vanløse 4-0 BSF | Denmark Series - Group 1 |
How many goals should we expect?
Vanløse score 1.4 and concede 1.3 goals per match over their last 15; BSF score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vanløse | 1.4 | 1.3 | 4 | 7/15 | 8/15 |
| BSF | 1.3 | 1.3 | 4 | 9/15 | 5/15 |
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