Match

Umeå FC vs Dalkurd FF: result 1-2 and analysis

SuperettanMatchday 10Kick-off on August 3, 2020 at 04:00 PM (UTC)Umeå Energi Arena SOL, Umeå

Umeå FC
1-2
Dalkurd FF

Full time

What was the result of Umeå FC vs Dalkurd FF?

Dalkurd FF won 1-2 on August 3, 2020.

Goalscorers

  • 25′K. CissokoDalkurd FF
  • 29′P. SejdiuDalkurd FF
  • 47′Mikael WikströmUmeå FC

Official lineup for Umeå FC vs Dalkurd FF

The starting elevens fielded at kick-off.

Umeå FC

  1. 3J. Stigedahl
  2. 10Mikael Wikström
  3. 11Timothy McNeil
  1. 6S. Lindmark
  2. 7Enis Ahmetović
  3. 28B. Demte
  1. 4D. Ismail
  2. 14D. Yaldır
  3. 18S. Takahashi
  4. 35L. Sahlin
  1. 1V. Frodig

Dalkurd FF

  1. 9A. Kabashi
  2. 99K. Cissoko
  1. 6Suleman Zurmati
  2. 13H. Finndell
  3. 24F. Sjöberg
  4. 77P. Sejdiu
  1. 2Johan Falkmar
  2. 3K. Hodžić
  3. 4J. Stenberg
  4. 33I. Jašarević
  1. 1Filip Claes David Anger
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Umeå FC have 5 wins, 5 draws and 5 defeats; Dalkurd FF have 2, 6 and 7.

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

Umeå FC
DateOpponentScoreCompetition
Jul 30, 2020Trelleborg(away)1-1Superettan
Jul 25, 2020Ljungskile SK(home)3-1Superettan
Jul 18, 2020Gais(away)1-1Superettan
Jul 12, 2020Halmstad(home)0-1Superettan
Jul 7, 2020Degerfors IF(away)0-1Superettan
Dalkurd FF
DateOpponentScoreCompetition
Jul 29, 2020Orgryte IS(home)0-0Superettan
Jul 25, 2020Trelleborg(away)1-4Superettan
Jul 18, 2020Ljungskile SK(away)2-2Superettan
Jul 13, 2020Osters IF(home)1-1Superettan
Jul 8, 2020Gais(away)1-2Superettan

How many goals should we expect?

Umeå FC score 1.3 and concede 1.1 goals per match over their last 15; Dalkurd FF score 1.3 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Umeå FC1.31.1310/157/15
Dalkurd FF1.31.7410/1510/15

Over the last 15 matches in all competitions.

A question about Umeå FC vs Dalkurd FF?

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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