NB Bornholm vs AB Tårnby: result 4-1 and analysis
Denmark Series - Group 1Regular Season - 9Kick-off on October 6, 2013 at 11:30 AM (UTC)Nexø Stadion, Nexø
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What was the result of NB Bornholm vs AB Tårnby?
NB Bornholm won 4-1 on October 6, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NB Bornholm have 6 wins, 3 draws and 6 defeats; AB Tårnby have 5, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2013 | Herlev(away) | 2-2 | Denmark Series - Group 1 |
| Sep 22, 2013 | Jægersborg(home) | 1-2 | Denmark Series - Group 1 |
| Sep 14, 2013 | Virum-Sorgenfri(away) | 1-1 | Denmark Series - Group 1 |
| Sep 8, 2013 | Fredensborg BI(home) | 0-0 | Denmark Series - Group 1 |
| Aug 31, 2013 | Avedøre(away) | 0-5 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 4, 2013 | Virum-Sorgenfri(home) | 4-1 | Denmark Series - Group 1 |
How many goals should we expect?
NB Bornholm score 1.5 and concede 1.8 goals per match over their last 15; AB Tårnby score 2.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NB Bornholm | 1.5 | 1.8 | 2 | 10/15 | 10/15 |
| AB Tårnby | 2.4 | 1.9 | 0 | 9/9 | 9/9 |
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 NB Bornholm vs AB Tårnby?
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