Match

SJK vs Rops: result 1-3 and analysis

YkkönenRegular Season - 8Kick-off on June 3, 2012 at 03:30 PM (UTC)OmaSP Stadion, Seinäjoki

SJK
1-3
Rops

Full time

What was the result of SJK vs Rops?

Rops won 1-3 on June 3, 2012.

Goalscorers

  • 7′Aleksandr KokkoRops
  • 58′Aleksandr KokkoRops
  • 69′Ndukaku Udoka AlisonRops
  • 90′CaumoSJK

Official lineup for SJK vs Rops

The starting elevens fielded at kick-off.

SJK

  1. 15Kim Palosaari
  1. 7C. Sund
  2. 8P. Lomski
  3. 11Mikko Ylihärsilä
  4. 16Touko Tumanto
  5. 18Justin Moose
  6. 19Ville Ylinen
  7. 22Matti Lähitie
  8. 28Patrick Phelan
  1. 3M. Väänänen
  1. 1Luis Fernando Lourenco da Silva

Rops

  1. 9Mika Lahtinen
  2. 11Aleksandr Kokko
  1. 10J. Rivera
  2. 16Ebrima Sohna
  1. 2A. Granlund
  2. 6Ndukaku Udoka Alison
  3. 8Tuomo Könönen
  4. 21E. Mbachu
  5. 23A. Peura
  6. 35F. Obilor
  1. 30Mikko Vilmunen
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What is the recent form of both teams?

Over their last 9 matches in all competitions, SJK have 6 wins, 1 draw and 2 defeats; Rops have 5, 1 and 1.

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

SJK
DateOpponentScoreCompetition
May 30, 2012OPS Oulu(home)0-2Ykkönen
May 24, 2012Kooteepee(away)1-0Ykkönen
May 21, 2012Hämeenlinna(away)2-0Ykkönen
May 17, 2012PK-35 Vantaa(home)2-1Ykkönen
May 12, 2012Viikingit(away)2-0Ykkönen
Rops
DateOpponentScoreCompetition
May 26, 2012HIFK Helsinki(home)3-1Ykkönen
May 21, 2012OPS Oulu(away)1-0Ykkönen
May 17, 2012Kooteepee(home)3-1Ykkönen
May 12, 2012PK-35 Vantaa(away)0-0Ykkönen
May 5, 2012Hämeenlinna(away)2-0Ykkönen

How many goals should we expect?

SJK score 1.8 and concede 1.0 goals per match over their last 9; Rops score 1.6 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SJK1.81.035/94/9
Rops1.60.943/73/7

Over the last 9 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Rops261385583847

A question about SJK vs Rops?

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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