Kastrup vs BSF: result 2-1 and analysis
Denmark Series - Group 1Regular Season - 23Kick-off on May 30, 2015 at 11:00 AM (UTC)Tårnby Stadion, Kastrup
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What was the result of Kastrup vs BSF?
Kastrup won 2-1 on May 30, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kastrup have 4 wins, 4 draws and 7 defeats; BSF have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | Fremad Valby(away) | 6-3 | Denmark Series - Group 1 |
| May 16, 2015 | Fredensborg BI(away) | 1-1 | Denmark Series - Group 1 |
| May 9, 2015 | Jægersborg(home) | 0-3 | Denmark Series - Group 1 |
| May 2, 2015 | KFUM Roskilde(away) | 2-2 | Denmark Series - Group 1 |
| Apr 25, 2015 | Vanløse(home) | 2-2 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2015 | Fredensborg BI(home) | 2-1 | Denmark Series - Group 1 |
| May 16, 2015 | Jægersborg(away) | 0-1 | Denmark Series - Group 1 |
| May 9, 2015 | KFUM Roskilde(home) | 1-4 | Denmark Series - Group 1 |
| May 2, 2015 | Vanløse(away) | 0-1 | Denmark Series - Group 1 |
| Apr 25, 2015 | Taastrup(home) | 0-4 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 3 meetings: 0 Kastrup wins, 1 draw, 2 BSF wins.
| Date | Score | Competition |
|---|---|---|
| Oct 18, 2014 | BSF 1-1 Kastrup | Denmark Series - Group 1 |
| Apr 27, 2013 | Kastrup 0-1 BSF | Denmark Series - Group 1 |
| Sep 8, 2012 | BSF 3-1 Kastrup | Denmark Series - Group 1 |
How many goals should we expect?
Kastrup score 1.7 and concede 2.1 goals per match over their last 15; BSF score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kastrup | 1.7 | 2.1 | 2 | 8/15 | 12/15 |
| BSF | 1.3 | 1.5 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Kastrup 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