Højfyn vs Tarup-Paarup: result 1-2 and analysis
Denmark Series - Group 3Regular Season - 8Kick-off on September 25, 2016 at 11:00 AM (UTC)Vissenbjerg Stadion, Vissenbjerg
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What was the result of Højfyn vs Tarup-Paarup?
Tarup-Paarup won 1-2 on September 25, 2016.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Højfyn have 2 wins, 2 draws and 3 defeats; Tarup-Paarup have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Varde(away) | 0-2 | Denmark Series - Group 3 |
| Sep 11, 2016 | Kolding B(home) | 2-1 | Denmark Series - Group 3 |
| Sep 4, 2016 | B 1913(away) | 3-4 | Denmark Series - Group 3 |
| Aug 28, 2016 | SfB-Oure(home) | 3-3 | Denmark Series - Group 3 |
| Aug 21, 2016 | Ringkøbing(away) | 0-3 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Fredericia FF(home) | 4-0 | Denmark Series - Group 3 |
| Sep 10, 2016 | Esbjerg II(away) | 2-3 | Denmark Series - Group 3 |
| Sep 3, 2016 | Sønderborg(home) | 4-1 | Denmark Series - Group 3 |
| Aug 27, 2016 | Ringkøbing(home) | 2-1 | Denmark Series - Group 3 |
| Aug 24, 2016 | B 1913(away) | 4-0 | Denmark Series - Group 3 |
How many goals should we expect?
Højfyn score 1.4 and concede 2.0 goals per match over their last 7; Tarup-Paarup score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Højfyn | 1.4 | 2.0 | 1 | 4/7 | 4/7 |
| Tarup-Paarup | 2.3 | 0.9 | 6 | 7/15 | 9/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Tarup-Paarup | 17 | 6 | 3 | 8 | 32 | 36 | 21 |
A question about Højfyn vs Tarup-Paarup?
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