Match

Rops vs Viikingit: result 2-0 and analysis

YkkönenRegular Season - 9Kick-off on June 17, 2012 at 02:00 PM (UTC)Rovaniemen Keskuskenttä, Rovaniemi

Rops
2-0
Viikingit

Full time

What was the result of Rops vs Viikingit?

Rops won 2-0 on June 17, 2012.

Goalscorers

  • 38′Mika LahtinenRops
  • 90′Ebrima SohnaRops

Official lineup for Rops vs Viikingit

The starting elevens fielded at kick-off.

Rops

  1. 9Mika Lahtinen
  1. 7Tuomas Tyystälä
  2. 10J. Rivera
  3. 16Ebrima Sohna
  1. 2A. Granlund
  2. 6Ndukaku Udoka Alison
  3. 8Tuomo Könönen
  4. 21E. Mbachu
  5. 23A. Peura
  6. 35F. Obilor
  1. 30Mikko Vilmunen

Viikingit

  1. 11Eero Peltonen
  2. 26Ville Salmikivi
  1. 5C. González Guazá
  2. 7Juuso Rantanen
  3. 8J. Ahonen
  4. 10Joni Korhonen
  1. 2Ville Ranta-Aho
  2. 6Jukka Hirvonen
  3. 16J. Kinnunen
  4. 18Teemu Honkaniemi
  1. 1Aapo Kiljunen
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Rops have 7 wins, 1 draw and 1 defeat; Viikingit have 5, 0 and 3.

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

Rops
DateOpponentScoreCompetition
Jun 9, 2012JIPPO(home)4-0Ykkönen
Jun 3, 2012SJK(away)3-1Ykkönen
May 26, 2012HIFK Helsinki(home)3-1Ykkönen
May 21, 2012OPS Oulu(away)1-0Ykkönen
May 17, 2012Kooteepee(home)3-1Ykkönen
Viikingit
DateOpponentScoreCompetition
Jun 3, 2012HIFK Helsinki(home)2-1Ykkönen
May 30, 2012Hämeenlinna(home)2-1Ykkönen
May 27, 2012AC Oulu(away)3-0Ykkönen
May 21, 2012Kooteepee(home)1-0Ykkönen
May 16, 2012JIPPO(away)1-0Ykkönen

How many goals should we expect?

Rops score 2.0 and concede 0.8 goals per match over their last 9; Viikingit score 1.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rops2.00.854/95/9
Viikingit1.11.132/84/8

Over the last 9 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Rops261385583847

A question about Rops vs Viikingit?

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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