NB Bornholm vs Frem: result 3-1 and analysis
Denmark Series - Group 1Regular Season - 17Kick-off on April 21, 2012 at 12:30 PM (UTC)Nexø Stadion, Nexø
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What was the result of NB Bornholm vs Frem?
NB Bornholm won 3-1 on April 21, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, NB Bornholm have 3 wins, 7 draws and 5 defeats; Frem have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2012 | B 1903(away) | 0-0 | Denmark Series - Group 1 |
| Apr 9, 2012 | BSF(home) | 2-2 | Denmark Series - Group 1 |
| Apr 5, 2012 | B 1973 Herlev(away) | 2-2 | Denmark Series - Group 1 |
| Nov 5, 2011 | Skovshoved(away) | 0-1 | Denmark Series - Group 1 |
| Oct 30, 2011 | Fredensborg BI(home) | 1-0 | Denmark Series - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2012 | Øresund OKF(home) | 0-2 | Denmark Series - Group 1 |
| Apr 9, 2012 | Greve(home) | 4-1 | Denmark Series - Group 1 |
| Apr 5, 2012 | B 1903(away) | 1-0 | Denmark Series - Group 1 |
| Nov 5, 2011 | BSF(away) | 1-2 | Denmark Series - Group 1 |
| Oct 29, 2011 | B 1973 Herlev(home) | 2-1 | Denmark Series - Group 1 |
What does the head-to-head say?
In the last meeting: 0 NB Bornholm wins, 0 draws, 1 Frem win.
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2011 | Frem 1-0 NB Bornholm | Denmark Series - Group 1 |
How many goals should we expect?
NB Bornholm score 1.5 and concede 1.6 goals per match over their last 15; Frem score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NB Bornholm | 1.5 | 1.6 | 3 | 9/15 | 8/15 |
| Frem | 2.3 | 1.0 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about NB Bornholm vs Frem?
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