Match

jerv vs Viking: result 3-2 and analysis

1. DivisionRegular Season - 10Kick-off on May 27, 2018 at 04:00 PM (UTC)J.J. Ugland Stadion, Grimstad

jerv
3-2
Viking

Full time

What was the result of jerv vs Viking?

jerv won 3-2 on May 27, 2018.

Goalscorers

  • 23′Ulrik Reinaldo Berglannjerv
  • 48′Glenn Brevik Andersenjerv
  • 52′Z. TripićViking
  • 53′Aram Khalilijerv
  • 69′Aniekpeno UdohViking

Official lineup for jerv vs Viking

The starting elevens fielded at kick-off.

jerv

  1. 10Aram Khalili
  2. 17M. Andersen
  1. 6M. Wichmann
  2. 7Ulrik Reinaldo Berglann
  3. 8Thomas Zernichow
  4. 23Andreas Hagen
  1. 2Glenn Brevik Andersen
  2. 3B. Wembangomo
  3. 4E. Knudsen
  4. 19K. Tønnessen
  1. 20Ø. Øvretveit

Viking

  1. 10T. Høiland
  1. 9F. Torsteinbø
  2. 11Z. Tripić
  3. 14A. Danielsen
  1. 3V. Vevatne
  2. 5M. Nakkim
  3. 6L. Østigård
  4. 18J. Ryerson
  5. 22C. Kronberg
  6. 23R. Vikstøl
  1. 1I. Austbø
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What is the recent form of both teams?

Over their last 15 matches in all competitions, jerv have 5 wins, 4 draws and 6 defeats; Viking have 9, 1 and 5.

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

jerv
DateOpponentScoreCompetition
May 21, 2018Levanger(away)3-21. Division
May 16, 2018Notodden(home)1-01. Division
May 13, 2018Strommen(away)3-21. Division
May 6, 2018Asane(home)1-11. Division
Apr 29, 2018Sandnes ULF(away)0-01. Division
Viking
DateOpponentScoreCompetition
May 22, 2018Aalesund(home)0-21. Division
May 16, 2018Sandnes ULF(home)5-21. Division
May 13, 2018Levanger(away)0-01. Division
May 6, 2018Notodden(home)3-11. Division
Apr 29, 2018Ull/Kisa(away)5-41. Division

How many goals should we expect?

jerv score 1.2 and concede 1.7 goals per match over their last 15; Viking score 1.9 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
jerv1.21.748/156/15
Viking1.91.665/157/15

Over the last 15 matches in all competitions.

A question about jerv vs Viking?

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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