Match

AB Tårnby vs Jægersborg: result 2-1 and analysis

Denmark Series - Group 1Regular Season - 26Kick-off on June 20, 2015 at 01:00 PM (UTC)Tårnby Stadion, Kastrup

AB Tårnby
2-1
Jægersborg

Full time

What was the result of AB Tårnby vs Jægersborg?

AB Tårnby won 2-1 on June 20, 2015.

What is the recent form of both teams?

Over their last 15 matches in all competitions, AB Tårnby have 12 wins, 1 draw and 2 defeats; Jægersborg have 10, 3 and 2.

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

AB Tårnby
DateOpponentScoreCompetition
Jun 13, 2015KFUM Roskilde(away)4-1Denmark Series - Group 1
Jun 6, 2015Vanløse(home)2-0Denmark Series - Group 1
May 30, 2015Taastrup(away)2-0Denmark Series - Group 1
May 23, 2015NB Bornholm(home)3-1Denmark Series - Group 1
May 16, 2015Fremad Valby(home)2-0Denmark Series - Group 1
Jægersborg
DateOpponentScoreCompetition
Jun 13, 2015Skjold Birkerød(home)1-2Denmark Series - Group 1
Jun 6, 2015SC Egedal(away)3-0Denmark Series - Group 1
May 30, 2015Greve(home)1-0Denmark Series - Group 1
May 23, 2015B 1903(away)2-0Denmark Series - Group 1
May 16, 2015BSF(home)1-0Denmark Series - Group 1

What does the head-to-head say?

Across the last 3 meetings: 0 AB Tårnby wins, 2 draws, 1 Jægersborg win.

DateScoreCompetition
Nov 8, 2014Jægersborg 3-1 AB TårnbyDenmark Series - Group 1
Apr 5, 2014AB Tårnby 1-1 JægersborgDenmark Series - Group 1
Aug 18, 2013Jægersborg 2-2 AB TårnbyDenmark Series - Group 1

Last archived meeting: Jægersborg vs AB Tårnby on Nov 8, 2014

How many goals should we expect?

AB Tårnby score 1.9 and concede 0.7 goals per match over their last 15; Jægersborg score 1.6 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AB Tårnby1.90.796/156/15
Jægersborg1.60.795/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
10AB Tårnby183213244211

A question about AB Tårnby vs Jægersborg?

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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