Match

Skovshoved vs Herlufsholm: result 3-0 and analysis

Denmark Series - Group 2Regular Season - 14Kick-off on November 5, 2016 at 01:00 PM (UTC)Skovshoved IP, Klampenborg

Skovshoved
3-0
Herlufsholm

Full time

What was the result of Skovshoved vs Herlufsholm?

Skovshoved won 3-0 on November 5, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Skovshoved have 8 wins, 2 draws and 5 defeats; Herlufsholm have 1, 2 and 12.

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

Skovshoved
DateOpponentScoreCompetition
Oct 29, 2016LSF(away)3-0Denmark Series - Group 2
Oct 22, 2016Rishøj(home)4-1Denmark Series - Group 2
Oct 15, 2016Karlslunde(home)1-2Denmark Series - Group 2
Oct 7, 2016Fremad Valby(away)3-3Denmark Series - Group 2
Oct 1, 2016Avedøre(away)0-3Denmark Series - Group 2
Herlufsholm
DateOpponentScoreCompetition
Oct 30, 2016Karlslunde(home)2-0Denmark Series - Group 2
Oct 22, 2016Fremad Valby(away)1-4Denmark Series - Group 2
Oct 8, 2016AB Tårnby(away)0-2Denmark Series - Group 2
Oct 1, 2016GVI(away)1-3Denmark Series - Group 2
Sep 23, 2016B 1908(home)1-1Denmark Series - Group 2

What does the head-to-head say?

In the last meeting: 1 Skovshoved win, 0 draws, 0 Herlufsholm wins.

DateScoreCompetition
Sep 2, 2016Herlufsholm 0-4 SkovshovedDenmark Series - Group 2

Last archived meeting: Herlufsholm vs Skovshoved on Sep 2, 2016

How many goals should we expect?

Skovshoved score 2.3 and concede 1.3 goals per match over their last 15; Herlufsholm score 0.6 and concede 2.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Skovshoved2.31.358/1513/15
Herlufsholm0.62.516/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
9Skovshoved185211293917

A question about Skovshoved vs Herlufsholm?

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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