Match

KFUM vs Frederikssund: result 4-1 and analysis

Denmark Series - Group 1Group 1 - 11Kick-off on October 24, 2020 at 12:00 PM (UTC)Estadio 14 de Junio, Vínces

KFUM
4-1
Frederikssund

Full time

What was the result of KFUM vs Frederikssund?

KFUM won 4-1 on October 24, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, KFUM have 6 wins, 4 draws and 5 defeats; Frederikssund have 5, 2 and 8.

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

KFUM
DateOpponentScoreCompetition
Oct 17, 2020BK Union(away)1-0Denmark Series - Group 1
Oct 10, 2020Fremad Valby(home)2-1Denmark Series - Group 1
Oct 7, 2020Hvidovre(home)0-2DBU Pokalen
Sep 27, 2020Husum(home)2-2Denmark Series - Group 1
Sep 19, 2020Ishøj(away)2-1Denmark Series - Group 1
Frederikssund
DateOpponentScoreCompetition
Oct 17, 2020Tårnby FF(home)4-3Denmark Series - Group 1
Oct 10, 2020Karlslunde(away)1-2Denmark Series - Group 1
Oct 3, 2020Avedøre(home)4-2Denmark Series - Group 1
Sep 26, 2020BSF(away)3-1Denmark Series - Group 1
Sep 19, 2020BK Union(away)1-3Denmark Series - Group 1

What does the head-to-head say?

Across the last 2 meetings: 1 KFUM win, 0 draws, 1 Frederikssund win.

DateScoreCompetition
Oct 19, 2019KFUM 3-1 FrederikssundDenmark Series - Group 2
Aug 17, 2019Frederikssund 3-1 KFUMDenmark Series - Group 2

Last archived meeting: KFUM vs Frederikssund on Oct 19, 2019

How many goals should we expect?

KFUM score 1.2 and concede 1.3 goals per match over their last 15; Frederikssund score 1.8 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KFUM1.21.339/158/15
Frederikssund1.82.5013/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
4Frederikssund18819242525

A question about KFUM vs Frederikssund?

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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