Højfyn vs Fredericia FF: result 2-1 and analysis
Denmark Series - Group 3Regular Season - 11Kick-off on October 16, 2016 at 11:00 AM (UTC)Vissenbjerg Stadion, Vissenbjerg
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What was the result of Højfyn vs Fredericia FF?
Højfyn won 2-1 on October 16, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Højfyn have 3 wins, 2 draws and 5 defeats; Fredericia FF have 2, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Esbjerg II(away) | 3-2 | Denmark Series - Group 3 |
| Oct 1, 2016 | Sønderborg(away) | 0-2 | Denmark Series - Group 3 |
| Sep 25, 2016 | Tarup-Paarup(home) | 1-2 | Denmark Series - Group 3 |
| Sep 17, 2016 | Varde(away) | 0-2 | Denmark Series - Group 3 |
| Sep 11, 2016 | Kolding B(home) | 2-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Ringkøbing(home) | 2-1 | Denmark Series - Group 3 |
| Oct 1, 2016 | Esbjerg II(away) | 2-2 | Denmark Series - Group 3 |
| Sep 22, 2016 | Sønderborg(home) | 0-2 | Denmark Series - Group 3 |
| Sep 17, 2016 | Tarup-Paarup(away) | 0-4 | Denmark Series - Group 3 |
| Sep 10, 2016 | Varde(home) | 1-4 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 1 meetings: 1 Højfyn win(s), 0 draw(s), 0 Fredericia FF win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2016 | Fredericia FF 0-1 Højfyn | Denmark Series - Group 3 |
Last archived meeting: Fredericia FF vs Højfyn on Aug 12, 2016
How many goals should we expect?
Højfyn score 1.4 and concede 2.0 goals per match over their last 10; Fredericia FF score 1.1 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Højfyn | 1.4 | 2.0 | 1 | 6/10 | 6/10 |
| Fredericia FF | 1.1 | 2.4 | 0 | 7/10 | 8/10 |
Over the last 10 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy