Match

Silkeborg KFUM vs Holstebro: result 1-2 and analysis

Denmark Series - Group 4Group 4 - 10Kick-off on October 4, 2019 at 05:00 PM (UTC)JYSK park, Silkeborg

Silkeborg KFUM
1-2
Holstebro

Full time

What was the result of Silkeborg KFUM vs Holstebro?

Holstebro won 1-2 on October 4, 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; Holstebro have 10, 2 and 3.

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

Silkeborg KFUM
DateOpponentScoreCompetition
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
Sep 6, 2019Kjellerup(home)1-6Denmark Series - Group 4
Aug 31, 2019Lyseng(away)4-1Denmark Series - Group 4
Holstebro
DateOpponentScoreCompetition
Sep 28, 2019Lyseng(away)1-4Denmark Series - Group 4
Sep 22, 2019Djursland(home)2-2Denmark Series - Group 4
Sep 15, 2019Skjold Sæby(home)1-2Denmark Series - Group 4
Sep 7, 2019Nørresundby(away)3-0Denmark Series - Group 4
Sep 3, 2019Marienlyst(away)1-2DBU Pokalen

What does the head-to-head say?

In the last meeting: 0 Silkeborg KFUM wins, 0 draws, 1 Holstebro win.

DateScoreCompetition
Aug 4, 2019Holstebro 7-1 Silkeborg KFUMDenmark Series - Group 4

Last archived meeting: Holstebro vs Silkeborg KFUM on Aug 4, 2019

How many goals should we expect?

Silkeborg KFUM score 2.0 and concede 2.1 goals per match over their last 15; Holstebro score 2.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Silkeborg KFUM2.02.1111/1513/15
Holstebro2.71.7312/1514/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
1Holstebro181422542344

A question about Silkeborg KFUM vs Holstebro?

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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