LSF vs BGA: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 17Kick-off on April 20, 2013 at 12:00 PM (UTC)Ledøje Idrætscenter, Smørum
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What was the result of LSF vs BGA?
LSF and BGA drew 1-1 on April 20, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LSF have 9 wins, 3 draws and 3 defeats; BGA have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2013 | Virum-Sorgenfri(home) | 0-1 | Denmark Series - Group 1 |
| Apr 6, 2013 | B 93(away) | 1-1 | Denmark Series - Group 1 |
| Nov 3, 2012 | B 1903(home) | 1-0 | Denmark Series - Group 1 |
| Oct 27, 2012 | Vanløse(away) | 0-2 | Denmark Series - Group 1 |
| Oct 20, 2012 | BSF(home) | 2-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2013 | B 93(home) | 1-2 | Denmark Series - Group 1 |
| Apr 7, 2013 | Frederikssund(away) | 1-1 | Denmark Series - Group 1 |
| Nov 3, 2012 | Vanløse(home) | 0-0 | Denmark Series - Group 1 |
| Oct 27, 2012 | BSF(away) | 1-2 | Denmark Series - Group 1 |
| Oct 20, 2012 | Kastrup(home) | 0-0 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 1 LSF win, 0 draws, 0 BGA wins.
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2012 | BGA 0-1 LSF | Denmark Series - Group 1 |
How many goals should we expect?
LSF score 1.7 and concede 0.8 goals per match over their last 15; BGA score 0.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LSF | 1.7 | 0.8 | 8 | 5/15 | 8/15 |
| BGA | 0.8 | 1.5 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | LSF | 18 | 7 | 1 | 10 | 32 | 32 | 22 |
A question about LSF vs BGA?
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