Match

Jammerbugt vs Aarhus Fremad: result 3-0 and analysis

2. DivisionGroup 1 - 19Kick-off on April 17, 2021 at 12:00 PM (UTC)Sparekassen Danmark Arena, Pandrup

Jammerbugt
3-0
Aarhus Fremad

Full time

What was the result of Jammerbugt vs Aarhus Fremad?

Jammerbugt won 3-0 on April 17, 2021.

Goalscorers

  • 38′?Jammerbugt (o.g.)
  • 53′Glenn RaskJammerbugt
  • 64′?Jammerbugt

What is the recent form of both teams?

Over their last 15 matches in all competitions, Jammerbugt have 7 wins, 5 draws and 3 defeats; Aarhus Fremad have 6, 5 and 4.

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

Jammerbugt
DateOpponentScoreCompetition
Apr 10, 2021Dalum(away)4-32. Division
Apr 5, 2021Holstebro(home)1-02. Division
Apr 1, 2021Brabrand(away)0-02. Division
Mar 27, 2021Frem(away)0-32. Division
Mar 20, 2021B 93(home)0-02. Division
Aarhus Fremad
DateOpponentScoreCompetition
Apr 10, 2021Thisted FC(home)3-12. Division
Apr 5, 2021Dalum(away)1-12. Division
Mar 27, 2021Holbæk B&I(home)1-32. Division
Mar 20, 2021Næsby(home)1-12. Division
Mar 13, 2021Sydvest(away)1-12. Division

What does the head-to-head say?

Across the last 4 meetings: 0 Jammerbugt wins, 2 draws, 2 Aarhus Fremad wins.

DateScoreCompetition
Oct 31, 2020Aarhus Fremad 1-1 Jammerbugt2. Division
Sep 8, 2019Jammerbugt 0-2 Aarhus Fremad2nd Division - Group 2
Mar 9, 2019Aarhus Fremad 4-0 Jammerbugt2. Division
Aug 11, 2018Jammerbugt 1-1 Aarhus Fremad2. Division

Last archived meeting: Aarhus Fremad vs Jammerbugt on Oct 31, 2020

How many goals should we expect?

Jammerbugt score 1.9 and concede 1.3 goals per match over their last 15; Aarhus Fremad score 2.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Jammerbugt1.91.358/158/15
Aarhus Fremad2.01.5212/1510/15

Over the last 15 matches in all competitions.

A question about Jammerbugt vs Aarhus Fremad?

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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