Match

Rops vs JIPPO: result 4-0 and analysis

YkkönenRegular Season - 7Kick-off on June 9, 2012 at 02:00 PM (UTC)Rovaniemen Keskuskenttä, Rovaniemi

Rops
4-0
JIPPO

Full time

What was the result of Rops vs JIPPO?

Rops won 4-0 on June 9, 2012.

Goalscorers

  • 23′Tuomo KönönenRops
  • 72′Mika LahtinenRops
  • 85′V. NykänenRops (o.g.)
  • 90′J. RiveraRops

Official lineup for Rops vs JIPPO

The starting elevens fielded at kick-off.

Rops

  1. 9Mika Lahtinen
  1. 10J. Rivera
  2. 16Ebrima Sohna
  1. 2A. Granlund
  2. 6Ndukaku Udoka Alison
  3. 8Tuomo Könönen
  4. 21E. Mbachu
  5. 22Mika-Matti Maisonvaara
  6. 23A. Peura
  7. 35F. Obilor
  1. 30Mikko Vilmunen

JIPPO

  1. 7P. Koko'o
  2. 11A. Ngueukam
  1. 5S. Gruda
  2. 10Olli-Pekka Itala
  3. 14P. Rönkkö
  4. 16S. Suoraniemi
  5. 22Santeri Sjöblom
  6. 23Tarmo Koivuranta
  7. 28V. Nykänen
  1. 6J. Harju
  1. 21Mikko Ikonen
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Rops have 6 wins, 1 draw and 1 defeat; JIPPO have 5, 2 and 5.

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

Rops
DateOpponentScoreCompetition
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
May 12, 2012PK-35 Vantaa(away)0-0Ykkönen
JIPPO
DateOpponentScoreCompetition
Jun 4, 2012Kooteepee(away)0-3Ykkönen
May 27, 2012PK-35 Vantaa(away)1-5Ykkönen
May 20, 2012HIFK Helsinki(home)1-0Ykkönen
May 16, 2012Viikingit(home)0-1Ykkönen
May 12, 2012OPS Oulu(away)1-2Ykkönen

How many goals should we expect?

Rops score 1.8 and concede 0.9 goals per match over their last 8; JIPPO score 1.4 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rops1.80.944/84/8
JIPPO1.41.445/125/12

Over the last 8 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
2Rops261385583847

A question about Rops vs JIPPO?

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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