Match

Silkeborg KFUM vs Aarhus Fremad II: result 2-2 and analysis

Denmark Series - Group 4Group 4 - 12Kick-off on October 18, 2019 at 05:00 PM (UTC)JYSK park, Silkeborg

Silkeborg KFUM
2-2
Aarhus Fremad II

Full time

What was the result of Silkeborg KFUM vs Aarhus Fremad II?

Silkeborg KFUM and Aarhus Fremad II drew 2-2 on October 18, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Silkeborg KFUM have 9 wins, 0 draws and 6 defeats; Aarhus Fremad II have 6, 3 and 6.

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

Silkeborg KFUM
DateOpponentScoreCompetition
Oct 12, 2019VRI(away)1-0Denmark Series - Group 4
Oct 4, 2019Holstebro(home)1-2Denmark Series - Group 4
Sep 28, 2019Djursland(away)4-2Denmark Series - Group 4
Sep 20, 2019Nørresundby(home)3-2Denmark Series - Group 4
Sep 14, 2019Viby(away)3-2Denmark Series - Group 4
Aarhus Fremad II
DateOpponentScoreCompetition
Oct 12, 2019Djursland(home)0-1Denmark Series - Group 4
Oct 5, 2019Nørresundby(away)1-1Denmark Series - Group 4
Sep 28, 2019Viby(away)1-1Denmark Series - Group 4
Sep 21, 2019Kjellerup(home)2-1Denmark Series - Group 4
Sep 14, 2019Lyseng(away)2-4Denmark Series - Group 4

What does the head-to-head say?

Across the last 1 meetings: 0 Silkeborg KFUM win(s), 0 draw(s), 1 Aarhus Fremad II win(s).

DateScoreCompetition
Aug 17, 2019Aarhus Fremad II 2-1 Silkeborg KFUMDenmark Series - Group 4

Last archived meeting: Aarhus Fremad II vs Silkeborg KFUM on Aug 17, 2019

How many goals should we expect?

Silkeborg KFUM score 2.0 and concede 2.1 goals per match over their last 15; Aarhus Fremad II score 2.2 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Silkeborg KFUM2.02.1211/1513/15
Aarhus Fremad II2.21.5211/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
3Aarhus Fremad II181026482732

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

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