Match

Højfyn vs Tarup-Paarup: result 3-5 and analysis

Denmark Series - Group 3Regular Season - 26Kick-off on June 10, 2017 at 12:45 PM (UTC)Vissenbjerg Stadion, Vissenbjerg

Højfyn
3-5
Tarup-Paarup

Full time

What was the result of Højfyn vs Tarup-Paarup?

Tarup-Paarup won 3-5 on June 10, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Højfyn have 3 wins, 4 draws and 8 defeats; Tarup-Paarup have 10, 1 and 4.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Højfyn
DateOpponentScoreCompetition
Jun 3, 2017Varde IF Elite(away)1-2Denmark Series - Group 3
May 27, 2017Kolding B(home)1-1Denmark Series - Group 3
May 20, 2017B 1913(away)2-3Denmark Series - Group 3
May 13, 2017SfB-Oure(home)2-3Denmark Series - Group 3
May 7, 2017Ringkøbing(away)0-0Denmark Series - Group 3
Tarup-Paarup
DateOpponentScoreCompetition
Jun 3, 2017Fredericia FF(home)4-1Denmark Series - Group 3
May 27, 2017Esbjerg II(away)5-1Denmark Series - Group 3
May 20, 2017Sønderborg(home)1-3Denmark Series - Group 3
May 13, 2017Ringkøbing(home)2-3Denmark Series - Group 3
May 6, 2017Varde IF Elite(away)2-1Denmark Series - Group 3

What does the head-to-head say?

Across the last 2 meetings: 0 Højfyn wins, 0 draws, 2 Tarup-Paarup wins.

DateScoreCompetition
Apr 8, 2017Tarup-Paarup 4-1 HøjfynDenmark Series - Group 3
Sep 25, 2016Højfyn 1-2 Tarup-PaarupDenmark Series - Group 3

Last archived meeting: Tarup-Paarup vs Højfyn on Apr 8, 2017

How many goals should we expect?

Højfyn score 1.3 and concede 2.2 goals per match over their last 15; Tarup-Paarup score 2.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Højfyn1.32.2113/1512/15
Tarup-Paarup2.51.1310/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
5Tarup-Paarup17638323621

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

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