AB Tårnby vs BSF: result 1-2 and analysis
Denmark Series - Group 1Regular Season - 10Kick-off on October 12, 2013 at 01:00 PM (UTC)Tårnby Stadion, Kastrup
Full time
What was the result of AB Tårnby vs BSF?
BSF won 1-2 on October 12, 2013.
What is the recent form of both teams?
Over their last 10 matches in all competitions, AB Tårnby have 5 wins, 2 draws and 3 defeats; BSF 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 6, 2013 | NB Bornholm(away) | 1-4 | Denmark Series - Group 1 |
| Sep 28, 2013 | BGA(home) | 3-2 | Denmark Series - Group 1 |
| Sep 21, 2013 | Øresund OKF(away) | 3-2 | Denmark Series - Group 1 |
| Sep 14, 2013 | LSF(home) | 2-2 | Denmark Series - Group 1 |
| Sep 7, 2013 | Frederikssund(away) | 2-1 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2013 | Herlev(home) | 2-2 | Denmark Series - Group 1 |
| Sep 28, 2013 | Jægersborg(away) | 1-0 | Denmark Series - Group 1 |
| Sep 21, 2013 | Virum-Sorgenfri(home) | 0-0 | Denmark Series - Group 1 |
| Sep 14, 2013 | Fredensborg BI(away) | 2-3 | Denmark Series - Group 1 |
| Sep 7, 2013 | Avedøre(home) | 1-2 | Denmark Series - Group 1 |
How many goals should we expect?
AB Tårnby score 2.3 and concede 2.1 goals per match over their last 10; BSF score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AB Tårnby | 2.3 | 2.1 | 0 | 10/10 | 10/10 |
| BSF | 1.3 | 1.5 | 4 | 8/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | AB Tårnby | 18 | 3 | 2 | 13 | 24 | 42 | 11 |
A question about AB Tårnby vs BSF?
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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