Skjold Sæby vs BSF: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 16Kick-off on April 13, 2013 at 01:30 PM (UTC)Fælledparken, København
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What was the result of Skjold Sæby vs BSF?
Skjold Sæby and BSF drew 1-1 on April 13, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skjold Sæby have 5 wins, 3 draws and 7 defeats; BSF 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 |
|---|---|---|---|
| Apr 6, 2013 | Kastrup(away) | 1-5 | Denmark Series - Group 1 |
| Apr 1, 2013 | Avedøre(home) | 1-0 | Denmark Series - Group 1 |
| Nov 3, 2012 | Virum-Sorgenfri(away) | 3-1 | Denmark Series - Group 1 |
| Oct 27, 2012 | Skovshoved(home) | 2-1 | Denmark Series - Group 1 |
| Oct 20, 2012 | FA 2000(away) | 0-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2013 | Skovshoved(home) | 3-1 | Denmark Series - Group 1 |
| Apr 1, 2013 | FA 2000(away) | 1-3 | Denmark Series - Group 1 |
| Nov 3, 2012 | Øresund OKF(away) | 1-1 | Denmark Series - Group 1 |
| Oct 27, 2012 | BGA(home) | 2-1 | Denmark Series - Group 1 |
| Oct 20, 2012 | LSF(away) | 1-2 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 Skjold Sæby wins, 1 draw, 0 BSF wins.
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2012 | BSF 0-0 Skjold Sæby | Denmark Series - Group 1 |
How many goals should we expect?
Skjold Sæby score 1.3 and concede 1.8 goals per match over their last 15; BSF score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skjold Sæby | 1.3 | 1.8 | 4 | 9/15 | 10/15 |
| BSF | 2.0 | 1.7 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Skjold Sæby vs BSF?
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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