LSF vs Kastrup: result 3-2 and analysis
Denmark Series - Group 1Regular Season - 23Kick-off on June 1, 2013 at 12:00 PM (UTC)Ledøje Idrætscenter, Smørum
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What was the result of LSF vs Kastrup?
LSF won 3-2 on June 1, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, LSF have 8 wins, 3 draws and 4 defeats; Kastrup have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 4, 2013 | FA 2000(home) | 2-1 | Denmark Series - Group 1 |
| May 1, 2013 | Frederikssund(home) | 1-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2013 | B 93(home) | 1-4 | Denmark Series - Group 1 |
| May 19, 2013 | Frederikssund(away) | 0-3 | Denmark Series - Group 1 |
| May 11, 2013 | B 1903(home) | 1-1 | Denmark Series - Group 1 |
| May 1, 2013 | Vanløse(away) | 0-1 | Denmark Series - Group 1 |
| Apr 27, 2013 | BSF(home) | 0-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 1 LSF win, 0 draws, 0 Kastrup wins.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2012 | Kastrup 2-3 LSF | Denmark Series - Group 1 |
How many goals should we expect?
LSF score 1.5 and concede 1.1 goals per match over their last 15; Kastrup score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| LSF | 1.5 | 1.1 | 2 | 10/15 | 8/15 |
| Kastrup | 1.1 | 1.6 | 1 | 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 Kastrup?
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