Match

Viikingit vs Kooteepee: result 1-0 and analysis

YkkönenRegular Season - 5Kick-off on May 21, 2012 at 03:30 PM (UTC)Vuosaaren Urheilukenttä, Helsinki

Viikingit
1-0
Kooteepee

Full time

What was the result of Viikingit vs Kooteepee?

Viikingit won 1-0 on May 21, 2012.

Goalscorers

  • 24′Ville SalmikiviViikingit

Official lineup for Viikingit vs Kooteepee

The starting elevens fielded at kick-off.

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

Kooteepee

  1. 16Samuli Kaivonurmi
  2. 32A. Wheeler
  1. 8J. Laaksonen
  2. 17Marko Tyyskä
  3. 22S. Kvist
  4. 27Juho Nykänen
  5. 1L. Pirhonen
  1. 6Erkka Lansimies
  2. 7J. Laitinen
  3. 13G. Ositashvili
  4. 25Henri Järviniemi
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Viikingit have 1 win, 0 draws and 3 defeats; Kooteepee have 5, 2 and 3.

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

Viikingit
DateOpponentScoreCompetition
May 16, 2012JIPPO(away)1-0Ykkönen
May 12, 2012SJK(home)0-2Ykkönen
May 7, 2012PK-35 Vantaa(home)0-4Ykkönen
Mar 3, 2012Gnistan(away)0-1Suomen Cup
Kooteepee
DateOpponentScoreCompetition
May 17, 2012Rops(away)1-3Ykkönen
May 13, 2012Hämeenlinna(home)0-0Ykkönen
May 9, 2012HJK Helsinki(away)0-3Suomen Cup
May 5, 2012OPS Oulu(home)1-1Ykkönen
Apr 27, 2012HIFK Helsinki(away)3-0Ykkönen

How many goals should we expect?

Viikingit score 0.3 and concede 1.8 goals per match over their last 4; Kooteepee score 1.7 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Viikingit0.31.810/41/4
Kooteepee1.70.953/106/10

Over the last 4 matches in all competitions.

A question about Viikingit vs Kooteepee?

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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