Match

Naestved vs Hvidovre: result 1-1 and analysis

1. DivisionRegular Season - 17Kick-off on November 11, 2018 at 12:45 PM (UTC)MTM Service Park, Næstved

Naestved
1-1
Hvidovre

Full time

What was the result of Naestved vs Hvidovre?

Naestved and Hvidovre drew 1-1 on November 11, 2018.

Goalscorers

  • 14′Nicolaj Moesgaard AggerHvidovre (pen.)
  • 83′S. DhaflaouiNaestved

What is the recent form of both teams?

Over their last 15 matches in all competitions, Naestved have 8 wins, 3 draws and 4 defeats; Hvidovre have 4, 2 and 9.

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

Naestved
DateOpponentScoreCompetition
Nov 4, 2018Fremad Amager(away)0-11. Division
Oct 31, 2018Aarhus(home)2-1DBU Pokalen
Oct 28, 2018HB Koge(away)1-01. Division
Oct 21, 2018Lyngby(home)1-01. Division
Oct 16, 2018Roskilde(away)1-11. Division
Hvidovre
DateOpponentScoreCompetition
Nov 4, 2018Nykobing FC(home)0-21. Division
Oct 28, 2018Silkeborg(away)2-31. Division
Oct 18, 2018HB Koge(home)2-01. Division
Oct 14, 2018Thisted FC(home)5-11. Division
Oct 7, 2018Fremad Amager(away)2-21. Division

What does the head-to-head say?

Across the last 3 meetings: 0 Naestved wins, 0 draws, 3 Hvidovre wins.

DateScoreCompetition
Aug 19, 2018Hvidovre 2-1 Naestved1. Division
Sep 24, 2017Naestved 1-2 Hvidovre2. Division
Aug 11, 2017Hvidovre 3-0 Naestved2. Division

Last archived meeting: Hvidovre vs Naestved on Aug 19, 2018

How many goals should we expect?

Naestved score 1.5 and concede 1.2 goals per match over their last 15; Hvidovre score 1.4 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Naestved1.51.2410/158/15
Hvidovre1.42.038/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
1Hvidovre10730201024

A question about Naestved vs Hvidovre?

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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