Fredericia FF vs Højfyn: result 2-3 and analysis
Denmark Series - Group 3Regular Season - 20Kick-off on April 29, 2017 at 11:30 AM (UTC)Madsby Enge, Fredericia
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What was the result of Fredericia FF vs Højfyn?
Højfyn won 2-3 on April 29, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fredericia FF have 2 wins, 1 draws and 12 defeats; Højfyn have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2017 | Ringkøbing(away) | 0-2 | Denmark Series - Group 3 |
| Apr 13, 2017 | Esbjerg II(home) | 0-3 | Denmark Series - Group 3 |
| Apr 8, 2017 | Sønderborg(away) | 0-3 | Denmark Series - Group 3 |
| Apr 1, 2017 | Tarup-Paarup(home) | 0-7 | Denmark Series - Group 3 |
| Mar 25, 2017 | Varde(away) | 0-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2017 | Esbjerg II(home) | 0-4 | Denmark Series - Group 3 |
| Apr 15, 2017 | Sønderborg(home) | 1-3 | Denmark Series - Group 3 |
| Apr 8, 2017 | Tarup-Paarup(away) | 1-4 | Denmark Series - Group 3 |
| Apr 1, 2017 | Varde(home) | 1-2 | Denmark Series - Group 3 |
| Mar 24, 2017 | Kolding B(away) | 1-1 | Denmark Series - Group 3 |
What does the head-to-head say?
Across the last 2 meetings: 0 Fredericia FF win(s), 0 draw(s), 2 Højfyn win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2016 | Højfyn 2-1 Fredericia FF | Denmark Series - Group 3 |
| Aug 12, 2016 | Fredericia FF 0-1 Højfyn | Denmark Series - Group 3 |
Last archived meeting: Højfyn vs Fredericia FF on Oct 16, 2016
How many goals should we expect?
Fredericia FF score 0.7 and concede 2.9 goals per match over their last 15; Højfyn score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fredericia FF | 0.7 | 2.9 | 0 | 7/15 | 12/15 |
| Højfyn | 1.3 | 2.3 | 0 | 12/15 | 12/15 |
Over the last 15 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