Match

Fremad Amager vs AC Horsens: result 0-3 and analysis

DBU Pokalen8th FinalsKick-off on November 6, 2019 at 05:00 PM (UTC)Sundby Idrætspark, København

Fremad Amager
0-3
AC Horsens

Full time

What was the result of Fremad Amager vs AC Horsens?

AC Horsens won 0-3 on November 6, 2019.

Goalscorers

  • 39′A. LudwigAC Horsens
  • 58′L. PripAC Horsens
  • 74′P. TherkildsenAC Horsens

Official lineup for Fremad Amager vs AC Horsens

The starting elevens fielded at kick-off.

Fremad Amager

  1. SS. Iyede
  1. MM. Bay
  2. FF. Atchou
  3. EE. Toku
  4. RR. Rabeï
  1. HH. Vatnsdal
  2. TT. Lange
  3. NN. Cavnić
  4. IIvan Stanić
  5. SS. Rasheed
  1. SS. John

AC Horsens

  1. LL. Prip
  1. JJ. Linnet
  2. AA. Simon Okosun
  3. BB. Jacobsen
  1. AA. Ludwig
  2. RR. Frantsen
  3. EE. Mašović
  4. MM. Kiilerich
  5. JJ. Thorsen
  6. PP. Therkildsen
  1. MM. Delač
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fremad Amager have 4 wins, 5 draws and 6 defeats; AC Horsens have 5, 3 and 7.

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

Fremad Amager
DateOpponentScoreCompetition
Nov 2, 2019Vejle(away)0-41. Division
Oct 25, 2019Hvidovre(home)0-21. Division
Oct 18, 2019Viborg(away)0-51. Division
Oct 6, 2019Nykobing FC(away)2-21. Division
Sep 29, 2019Roskilde(home)2-11. Division
AC Horsens
DateOpponentScoreCompetition
Nov 1, 2019Esbjerg(away)1-1Superliga
Oct 27, 2019Lyngby(away)1-2Superliga
Oct 20, 2019Hobro(home)1-0Superliga
Oct 6, 2019Odense(away)0-3Superliga
Oct 3, 2019Thisted FC(away)2-1DBU Pokalen

How many goals should we expect?

Fremad Amager score 0.9 and concede 1.7 goals per match over their last 15; AC Horsens score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fremad Amager0.91.757/159/15
AC Horsens0.91.537/157/15

Over the last 15 matches in all competitions.

A question about Fremad Amager vs AC Horsens?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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