Match

Viking vs Mjondalen: result 0-2 and analysis

1. DivisionRegular Season - 2Kick-off on April 10, 2018 at 05:00 PM (UTC)Lyse Arena, Stavanger

Viking
0-2
Mjondalen

Full time

What was the result of Viking vs Mjondalen?

Mjondalen won 0-2 on April 10, 2018.

Goalscorers

  • 8′Mads HansenMjondalen
  • 73′M. GundersenMjondalen

Official lineup for Viking vs Mjondalen

The starting elevens fielded at kick-off.

Viking

  1. 7Z. Bytyqi
  2. 10T. Høiland
  1. 2R. Martinsen
  2. 11Z. Tripić
  3. 21J. Hallam
  1. 3V. Vevatne
  2. 4T. Salte
  3. 5M. Nakkim
  4. 6L. Østigård
  5. 18J. Ryerson
  1. 15A. Wichne

Mjondalen

  1. 7Y. Ibrahimaj
  2. 8Mahmoud Eid
  3. 20O. Boye
  1. 9Mads Hansen
  2. 11C. Gauseth
  3. 19J. Lindseth
  1. 2Q. Jansen
  2. 3V. Dragsnes
  3. 4W. Sell
  4. 23S. Johansen
  1. 12Lukas Henrik Jonsson
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Viking have 5 wins, 2 draws and 8 defeats; Mjondalen have 11, 1 and 3.

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

Viking
DateOpponentScoreCompetition
Apr 2, 2018Kongsvinger(away)2-01. Division
Nov 26, 2017Stabaek(home)2-0Eliteserien
Nov 19, 2017Rosenborg(away)0-2Eliteserien
Nov 5, 2017Sarpsborg 08 FF(home)2-1Eliteserien
Oct 29, 2017Tromso(away)0-3Eliteserien
Mjondalen
DateOpponentScoreCompetition
Apr 2, 2018Floro(home)1-11. Division
Nov 19, 2017Ranheim(home)1-21. Division
Nov 11, 2017Ull/Kisa(home)3-11. Division
Nov 5, 2017Elverum(away)3-01. Division
Oct 29, 2017Levanger(home)3-11. Division

How many goals should we expect?

Viking score 1.3 and concede 1.9 goals per match over their last 15; Mjondalen score 2.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Viking1.31.948/158/15
Mjondalen2.00.986/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025 standings
#ClubPWDLGFGAPts
15Mjondalen306717367125

A question about Viking vs Mjondalen?

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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