BSF vs LSF: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 24Kick-off on June 8, 2013 at 10:00 AM (UTC)Ballerup Idrætspark, Ballerup
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What was the result of BSF vs LSF?
BSF and LSF drew 1-1 on June 8, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BSF have 8 wins, 4 draws and 3 defeats; LSF have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 11, 2013 | Vanløse(home) | 2-0 | Denmark Series - Group 1 |
| May 4, 2013 | Virum-Sorgenfri(home) | 2-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2013 | B 1903(away) | 1-1 | Denmark Series - Group 1 |
| Jun 1, 2013 | Kastrup(home) | 3-2 | Denmark Series - Group 1 |
| May 29, 2013 | Avedøre(away) | 0-1 | Denmark Series - Group 1 |
| May 18, 2013 | Skjold Sæby(home) | 3-1 | Denmark Series - Group 1 |
| May 11, 2013 | Skovshoved(away) | 1-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 BSF wins, 0 draws, 1 LSF win.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2012 | LSF 2-1 BSF | Denmark Series - Group 1 |
How many goals should we expect?
BSF score 1.8 and concede 0.9 goals per match over their last 15; LSF score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSF | 1.8 | 0.9 | 5 | 10/15 | 8/15 |
| LSF | 1.5 | 1.3 | 1 | 11/15 | 7/15 |
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 BSF vs LSF?
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