BSF vs Kastrup: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 10Kick-off on October 18, 2014 at 11:00 AM (UTC)Ballerup Idrætspark, Ballerup
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What was the result of BSF vs Kastrup?
BSF and Kastrup drew 1-1 on October 18, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BSF have 5 wins, 4 draws and 6 defeats; Kastrup have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2014 | Fredensborg BI(away) | 1-1 | Denmark Series - Group 1 |
| Oct 4, 2014 | Jægersborg(home) | 1-2 | Denmark Series - Group 1 |
| Sep 27, 2014 | KFUM Roskilde(away) | 1-2 | Denmark Series - Group 1 |
| Sep 20, 2014 | Vanløse(home) | 1-0 | Denmark Series - Group 1 |
| Sep 13, 2014 | Taastrup(away) | 1-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 11, 2014 | Fremad Valby(home) | 3-0 | Denmark Series - Group 1 |
| Oct 4, 2014 | Fredensborg BI(home) | 0-5 | Denmark Series - Group 1 |
| Sep 27, 2014 | Jægersborg(away) | 3-0 | Denmark Series - Group 1 |
| Sep 20, 2014 | KFUM Roskilde(home) | 2-2 | Denmark Series - Group 1 |
| Sep 13, 2014 | Vanløse(away) | 2-2 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 BSF wins, 0 draws, 0 Kastrup wins.
| Date | Score | Competition |
|---|---|---|
| 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?
BSF score 1.3 and concede 1.6 goals per match over their last 15; Kastrup score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSF | 1.3 | 1.6 | 3 | 9/15 | 10/15 |
| Kastrup | 1.6 | 2.1 | 3 | 7/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about BSF 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