B 1913 vs Højfyn: result 4-3 and analysis
Denmark Series - Group 3Regular Season - 5Kick-off on September 4, 2016 at 11:00 AM (UTC)Campus Road, Odense
Full time
What was the result of B 1913 vs Højfyn?
B 1913 won 4-3 on September 4, 2016.
What is the recent form of both teams?
Over their last 6 matches in all competitions, B 1913 have 3 wins, 0 draws and 3 defeats; Højfyn have 1, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2016 | Fredericia FF(away) | 2-1 | Denmark Series - Group 3 |
| Aug 24, 2016 | Tarup-Paarup(home) | 0-4 | Denmark Series - Group 3 |
| Aug 21, 2016 | Esbjerg II(home) | 2-0 | Denmark Series - Group 3 |
| Aug 13, 2016 | Sønderborg(away) | 1-0 | Denmark Series - Group 3 |
| Aug 9, 2016 | Kolding IF(home) | 0-4 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2016 | SfB-Oure(home) | 3-3 | Denmark Series - Group 3 |
| Aug 21, 2016 | Ringkøbing(away) | 0-3 | Denmark Series - Group 3 |
| Aug 12, 2016 | Fredericia FF(away) | 1-0 | Denmark Series - Group 3 |
| Aug 6, 2016 | Esbjerg II(home) | 1-1 | Denmark Series - Group 3 |
How many goals should we expect?
B 1913 score 0.8 and concede 2.0 goals per match over their last 6; Højfyn score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 1913 | 0.8 | 2.0 | 2 | 1/6 | 4/6 |
| Højfyn | 1.3 | 1.8 | 1 | 2/4 | 2/4 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | B 1913 | 18 | 6 | 4 | 8 | 30 | 35 | 22 |
A question about B 1913 vs Højfyn?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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