Match

AB Copenhagen vs Brønshøj: result 2-2 and analysis

1. DivisionRegular Season - 25Kick-off on June 5, 2012 at 03:00 PM (UTC)Gladsaxe Stadion, Søborg

AB Copenhagen
2-2
Brønshøj

Full time

What was the result of AB Copenhagen vs Brønshøj?

AB Copenhagen and Brønshøj drew 2-2 on June 5, 2012.

Goalscorers

  • 27′C. OffenbergAB Copenhagen
  • 57′C. GytkjærAB Copenhagen
  • 79′Jesper ChristjansenBrønshøj
  • 90′P. LarsenBrønshøj

What is the recent form of both teams?

Over their last 15 matches in all competitions, AB Copenhagen have 2 wins, 4 draws and 9 defeats; Brønshøj have 7, 4 and 4.

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

AB Copenhagen
DateOpponentScoreCompetition
Jun 1, 2012Randers FC(away)1-31. Division
May 28, 2012Vejle(home)0-21. Division
May 20, 2012Skive(away)1-11. Division
May 11, 2012Roskilde(home)2-11. Division
May 6, 2012Naestved(away)1-21. Division
Brønshøj
DateOpponentScoreCompetition
Jun 2, 2012Vendsyssel FF(home)2-21. Division
May 27, 2012Vestsjælland(away)1-31. Division
May 20, 2012Esbjerg(home)0-01. Division
May 13, 2012FC Fredericia(away)5-01. Division
May 5, 2012Viborg(home)1-31. Division

What does the head-to-head say?

In the last meeting: 0 AB Copenhagen wins, 0 draws, 1 Brønshøj win.

DateScoreCompetition
Oct 29, 2011Brønshøj 2-1 AB Copenhagen1. Division

Last archived meeting: Brønshøj vs AB Copenhagen on Oct 29, 2011

How many goals should we expect?

AB Copenhagen score 0.9 and concede 2.0 goals per match over their last 15; Brønshøj score 1.6 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AB Copenhagen0.92.029/159/15
Brønshøj1.61.359/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4AB Copenhagen11434161215

A question about AB Copenhagen vs Brønshøj?

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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