Match

Dalkurd FF vs Trelleborg: result 1-0 and analysis

SuperettanRegular Season - 4Kick-off on April 24, 2016 at 12:00 PM (UTC)Studenternas IP, Uppsala

Dalkurd FF
1-0
Trelleborg

Full time

What was the result of Dalkurd FF vs Trelleborg?

Dalkurd FF won 1-0 on April 24, 2016.

Goalscorers

  • 56′D. MontielDalkurd FF

Official lineup for Dalkurd FF vs Trelleborg

The starting elevens fielded at kick-off.

Dalkurd FF

  1. 7Rawez Lawan
  2. 10Ahmed Awad Mohammad
  3. 22Mirkan Aydın
  4. 26L. Pllana
  1. 8D. Montiel
  2. 14Simon Stenberg
  3. 24H. Rashidi
  1. 3J. Nyholm
  2. 15Alexander Ekblad
  3. 16H. Löfkvist
  1. 1Frank Thomas Pettersson

Trelleborg

  1. 9Marcus Pode
  2. 10Zoran Jovanovic
  3. 15E. Andersson
  4. 19Emil Kjellker
  5. 24Mattias Bo-Erik Håkansson
  6. 28F. Motori
  1. 3R. Thompson
  2. 5A. Tideman
  3. 14A. Blomqvist
  4. 25R. Jakobsson
  1. 1Fredrik Persson
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Dalkurd FF have 1 win, 1 draw and 1 defeat; Trelleborg have 1, 1 and 1.

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

Dalkurd FF
DateOpponentScoreCompetition
Apr 18, 2016Sirius(away)2-1Superettan
Apr 9, 2016Varbergs BoIS FC(home)1-1Superettan
Apr 3, 2016Assyriska FF(away)1-2Superettan
Trelleborg
DateOpponentScoreCompetition
Apr 18, 2016AFC Eskilstuna(home)1-0Superettan
Apr 9, 2016Halmstad(away)0-3Superettan
Apr 4, 2016IFK Varnamo(home)0-0Superettan

How many goals should we expect?

Dalkurd FF score 1.3 and concede 1.3 goals per match over their last 3; Trelleborg score 0.3 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dalkurd FF1.31.303/32/3
Trelleborg0.31.020/31/3

Over the last 3 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
15Trelleborg305718235122

A question about Dalkurd FF vs Trelleborg?

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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