Match

Viikingit vs PK-35 Vantaa: result 0-4 and analysis

YkkönenRegular Season - 2Kick-off on May 7, 2012 at 03:30 PM (UTC)Vuosaaren Urheilukenttä, Helsinki

Viikingit
0-4
PK-35 Vantaa

Full time

What was the result of Viikingit vs PK-35 Vantaa?

PK-35 Vantaa won 0-4 on May 7, 2012.

Goalscorers

  • 10′Kim RaimiPK-35 Vantaa
  • 13′Kim RaimiPK-35 Vantaa
  • 28′Kim RaimiPK-35 Vantaa
  • 80′John WeckströmPK-35 Vantaa

Official lineup for Viikingit vs PK-35 Vantaa

The starting elevens fielded at kick-off.

Viikingit

  1. 9Daut Kuqi
  2. 11Eero Peltonen
  3. 26Ville Salmikivi
  1. 8J. Ahonen
  2. 10Joni Korhonen
  3. 20J. Kanth
  4. 22Jussi Peteri
  1. 16J. Kinnunen
  2. 18Teemu Honkaniemi
  3. 19Y. Jama
  1. 1Aapo Kiljunen

PK-35 Vantaa

  1. 8Fidan Seferi
  2. 32J. Santala
  1. 7John Weckström
  2. 10Ymer Xhaferi
  3. 11Otto-Pekka Jurvainen
  4. 21Pablo Gomez Marttila
  5. 24A. Arinze
  1. 2O. Olatuga
  2. 4Kim Raimi
  3. 5Tomi Nyman
  1. 25Miikka Hakkinen
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What is the recent form of both teams?

In their last match in all competitions, Viikingit have 0 wins, 0 draws and 1 defeat; PK-35 Vantaa have 1, 0 and 1.

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

Viikingit
DateOpponentScoreCompetition
Mar 3, 2012Gnistan(away)0-1Suomen Cup
PK-35 Vantaa
DateOpponentScoreCompetition
Apr 28, 2012Hämeenlinna(home)9-0Ykkönen
Feb 23, 2012HIFK Helsinki(away)0-3Suomen Cup

How many goals should we expect?

Viikingit score 0.0 and concede 1.0 goals per match in their last match; PK-35 Vantaa score 4.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Viikingit0.01.000/10/1
PK-35 Vantaa4.51.510/22/2

Over the last match in all competitions.

A question about Viikingit vs PK-35 Vantaa?

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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