B 93 vs LSF: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 15Kick-off on April 6, 2013 at 01:00 PM (UTC)Sundby Idrætspark, København
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What was the result of B 93 vs LSF?
B 93 and LSF drew 1-1 on April 6, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 10 wins, 4 draws and 1 defeat; LSF have 9, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2013 | Virum-Sorgenfri(away) | 1-1 | Denmark Series - Group 1 |
| Oct 27, 2012 | B 1903(away) | 3-1 | Denmark Series - Group 1 |
| Oct 20, 2012 | Vanløse(home) | 3-0 | Denmark Series - Group 1 |
| Oct 13, 2012 | BSF(away) | 2-1 | Denmark Series - Group 1 |
| Oct 6, 2012 | Kastrup(home) | 2-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 13, 2012 | Kastrup(away) | 3-2 | Denmark Series - Group 1 |
| Oct 6, 2012 | Avedøre(home) | 3-0 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 B 93 wins, 0 draws, 1 LSF win.
| Date | Score | Competition |
|---|---|---|
| Aug 18, 2012 | LSF 3-0 B 93 | Denmark Series - Group 1 |
How many goals should we expect?
B 93 score 1.9 and concede 0.8 goals per match over their last 15; LSF score 1.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.9 | 0.8 | 6 | 8/15 | 8/15 |
| LSF | 1.9 | 0.8 | 8 | 4/13 | 8/13 |
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 B 93 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