FA 2000 vs AB Tårnby: result 1-1 and analysis
Denmark Series - Group 1Regular Season - 11Kick-off on October 19, 2013 at 11:00 AM (UTC)Frederiksberg IP, Frederiksberg
Full time
What was the result of FA 2000 vs AB Tårnby?
FA 2000 and AB Tårnby drew 1-1 on October 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, FA 2000 have 5 wins, 7 draws and 3 defeats; AB Tårnby have 5, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | Herlev(away) | 2-2 | Denmark Series - Group 1 |
| Oct 5, 2013 | Jægersborg(home) | 0-0 | Denmark Series - Group 1 |
| Sep 28, 2013 | Virum-Sorgenfri(away) | 1-0 | Denmark Series - Group 1 |
| Sep 21, 2013 | Fredensborg BI(home) | 0-1 | Denmark Series - Group 1 |
| Sep 14, 2013 | Avedøre(away) | 3-3 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | BSF(home) | 1-2 | Denmark Series - Group 1 |
| 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 |
How many goals should we expect?
FA 2000 score 1.7 and concede 1.1 goals per match over their last 15; AB Tårnby score 2.2 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FA 2000 | 1.7 | 1.1 | 5 | 9/15 | 8/15 |
| AB Tårnby | 2.2 | 2.1 | 0 | 11/11 | 11/11 |
Over the last 15 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 FA 2000 vs AB Tårnby?
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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