Match

JIPPO vs Viikingit: result 0-1 and analysis

YkkönenRegular Season - 4Kick-off on May 16, 2012 at 03:30 PM (UTC)Mehtimäki tekonurmi, Joensuu

JIPPO
0-1
Viikingit

Full time

What was the result of JIPPO vs Viikingit?

Viikingit won 0-1 on May 16, 2012.

Goalscorers

  • 35′Ville SalmikiviViikingit

Official lineup for JIPPO vs Viikingit

The starting elevens fielded at kick-off.

JIPPO

  1. 11A. Ngueukam
  2. 26T. Tahvanainen
  1. 5S. Gruda
  2. 8Immo Eronen
  3. 10Olli-Pekka Itala
  4. 14P. Rönkkö
  5. 16S. Suoraniemi
  6. 24S. Kettunen
  1. 2T. Sormunen
  2. 25Tuomas Korpela
  1. 21Mikko Ikonen

Viikingit

  1. 11Eero Peltonen
  2. 26Ville Salmikivi
  1. 5C. González Guazá
  2. 7Juuso Rantanen
  3. 8J. Ahonen
  4. 22Jussi Peteri
  1. 2Ville Ranta-Aho
  2. 6Jukka Hirvonen
  3. 16J. Kinnunen
  4. 18Teemu Honkaniemi
  1. 12J. Pyhäranta
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What is the recent form of both teams?

Over their last 8 matches in all competitions, JIPPO have 4 wins, 2 draws and 2 defeats; Viikingit have 0, 0 and 3.

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

JIPPO
DateOpponentScoreCompetition
May 12, 2012OPS Oulu(away)1-2Ykkönen
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
Viikingit
DateOpponentScoreCompetition
May 12, 2012SJK(home)0-2Ykkönen
May 7, 2012PK-35 Vantaa(home)0-4Ykkönen
Mar 3, 2012Gnistan(away)0-1Suomen Cup

How many goals should we expect?

JIPPO score 1.9 and concede 1.0 goals per match over their last 8; Viikingit score 0.0 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JIPPO1.91.034/83/8
Viikingit0.02.300/31/3

Over the last 8 matches in all competitions.

A question about JIPPO 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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