BGA vs BSF: result 2-1 and analysis
Denmark Series - Group 1Regular Season - 25Kick-off on June 15, 2013 at 01:00 PM (UTC)Glostrup Idrætspark, Glostrup
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What was the result of BGA vs BSF?
BGA won 2-1 on June 15, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BGA have 4 wins, 8 draws and 3 defeats; BSF have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2013 | Kastrup(away) | 2-0 | Denmark Series - Group 1 |
| Jun 5, 2013 | Vanløse(away) | 1-1 | Denmark Series - Group 1 |
| Jun 1, 2013 | Avedøre(home) | 2-2 | Denmark Series - Group 1 |
| May 22, 2013 | Skjold Sæby(away) | 3-0 | Denmark Series - Group 1 |
| May 18, 2013 | Skovshoved(home) | 2-3 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2013 | Øresund OKF(home) | 0-1 | Denmark Series - Group 1 |
| Jun 8, 2013 | LSF(home) | 1-1 | Denmark Series - Group 1 |
| Jun 1, 2013 | B 93(away) | 1-1 | Denmark Series - Group 1 |
| May 25, 2013 | Frederikssund(home) | 5-0 | Denmark Series - Group 1 |
| May 18, 2013 | B 1903(away) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 BGA wins, 0 draws, 1 BSF win.
| Date | Score | Competition |
|---|---|---|
| Oct 27, 2012 | BSF 2-1 BGA | Denmark Series - Group 1 |
How many goals should we expect?
BGA score 1.7 and concede 1.1 goals per match over their last 15; BSF score 1.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BGA | 1.7 | 1.1 | 6 | 9/15 | 8/15 |
| BSF | 1.6 | 0.9 | 4 | 10/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about BGA vs BSF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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