Match

Silkeborg KFUM vs VRI: result 1-2 and analysis

Denmark Series - Group 4Group 4 - 16Kick-off on May 13, 2021 at 04:00 PM (UTC)JYSK park, Silkeborg

Silkeborg KFUM
1-2
VRI

Full time

What was the result of Silkeborg KFUM vs VRI?

VRI won 1-2 on May 13, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Silkeborg KFUM have 7 wins, 8 draws and 0 defeats; VRI have 8, 5 and 2.

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

Silkeborg KFUM
DateOpponentScoreCompetition
May 8, 2021Skjold Sæby(home)1-1Denmark Series - Group 4
May 5, 2021Aarhus Fremad II(away)0-0Denmark Series - Group 4
May 1, 2021Tjørring(away)6-0Denmark Series - Group 4
Apr 28, 2021Vejgaard B(home)1-1Denmark Series - Group 4
Apr 24, 2021Kjellerup(home)2-1Denmark Series - Group 4
VRI
DateOpponentScoreCompetition
May 8, 2021Nørresundby(home)2-0Denmark Series - Group 4
May 5, 2021Djursland(away)3-0Denmark Series - Group 4
May 1, 2021Skjold Sæby(away)0-2Denmark Series - Group 4
Apr 24, 2021Tjørring(home)2-1Denmark Series - Group 4
Apr 20, 2021Aarhus Fremad II(home)1-1Denmark Series - Group 4

What does the head-to-head say?

Across the last 3 meetings: 2 Silkeborg KFUM wins, 1 draw, 0 VRI wins.

DateScoreCompetition
Sep 12, 2020VRI 0-0 Silkeborg KFUMDenmark Series - Group 4
Oct 12, 2019VRI 0-1 Silkeborg KFUMDenmark Series - Group 4
Aug 27, 2019Silkeborg KFUM 3-1 VRIDenmark Series - Group 4

Last archived meeting: VRI vs Silkeborg KFUM on Sep 12, 2020

How many goals should we expect?

Silkeborg KFUM score 1.8 and concede 0.7 goals per match over their last 15; VRI score 1.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Silkeborg KFUM1.80.769/157/15
VRI1.70.959/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
9VRI184311274215

A question about Silkeborg KFUM vs VRI?

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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