Match

OPS Oulu vs JIPPO: result 2-1 and analysis

YkkönenRegular Season - 3Kick-off on May 12, 2012 at 02:00 PM (UTC)Raatin stadion, Oulu

OPS Oulu
2-1
JIPPO

Full time

What was the result of OPS Oulu vs JIPPO?

OPS Oulu won 2-1 on May 12, 2012.

Goalscorers

  • 19′T. TahvanainenJIPPO
  • 71′Pekka KainuOPS Oulu
  • 83′Alberto Ramírez TorresOPS Oulu

Official lineup for OPS Oulu vs JIPPO

The starting elevens fielded at kick-off.

OPS Oulu

  1. 5Luizao
  2. 10J. Nganbe
  3. 17Pekka Kainu
  4. 21K. Hyde
  1. 6J. Huovinen
  2. 7Matias Juntunen
  3. 8Alberto Ramírez Torres
  4. 11Vladislav Viric
  1. 22Iiro Vandell
  2. 23Nikola Prebiračević
  1. 2Juhani Koponen

JIPPO

  1. 11A. Ngueukam
  2. 26T. Tahvanainen
  1. 5S. Gruda
  2. 10Olli-Pekka Itala
  3. 14P. Rönkkö
  4. 16S. Suoraniemi
  5. 22Santeri Sjöblom
  6. 28V. Nykänen
  1. 2T. Sormunen
  2. 20A. Åke
  1. 1S. Korpelainen
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What is the recent form of both teams?

Over their last 2 matches in all competitions, OPS Oulu have 0 wins, 1 draw and 1 defeat; JIPPO have 4, 2 and 1.

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

OPS Oulu
DateOpponentScoreCompetition
May 5, 2012Kooteepee(away)1-1Ykkönen
Mar 14, 2012AC Oulu(home)0-2Suomen Cup
JIPPO
DateOpponentScoreCompetition
May 8, 2012MyPa(home)0-3Suomen Cup
May 5, 2012AC Oulu(away)1-1Ykkönen
Apr 28, 2012SJK(home)1-1Ykkönen
Apr 22, 2012EIF(away)2-0Suomen Cup
Apr 7, 2012Lahti(home)1-0Suomen Cup

How many goals should we expect?

OPS Oulu score 0.5 and concede 1.5 goals per match over their last 2; JIPPO score 2.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
OPS Oulu0.51.501/20/2
JIPPO2.00.933/72/7

Over the last 2 matches in all competitions.

A question about OPS Oulu 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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