Kastrup vs B 1903: result 2-3 and analysis
Denmark Series - Group 1Regular Season - 11Kick-off on October 25, 2014 at 11:00 AM (UTC)Tårnby Stadion, Kastrup
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What was the result of Kastrup vs B 1903?
B 1903 won 2-3 on October 25, 2014.
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; B 1903 have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | BSF(away) | 1-1 | Denmark Series - Group 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | Fredensborg BI(away) | 1-0 | Denmark Series - Group 1 |
| Oct 11, 2014 | Jægersborg(away) | 2-8 | Denmark Series - Group 1 |
| Oct 4, 2014 | KFUM Roskilde(home) | 1-4 | Denmark Series - Group 1 |
| Sep 27, 2014 | Vanløse(away) | 0-2 | Denmark Series - Group 1 |
| Sep 20, 2014 | Taastrup(home) | 3-1 | Denmark Series - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Kastrup win, 1 draw, 0 B 1903 wins.
| Date | Score | Competition |
|---|---|---|
| May 11, 2013 | Kastrup 1-1 B 1903 | Denmark Series - Group 1 |
| Sep 22, 2012 | B 1903 0-1 Kastrup | Denmark Series - Group 1 |
How many goals should we expect?
Kastrup score 1.7 and concede 2.0 goals per match over their last 15; B 1903 score 1.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kastrup | 1.7 | 2.0 | 3 | 8/15 | 11/15 |
| B 1903 | 1.5 | 2.5 | 2 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Kastrup vs B 1903?
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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