Match

PKKU vs JäPS: result 2-0 and analysis

Kakkonen - Lohko ARegular Season - 2Kick-off on May 3, 2013 at 03:30 PM (UTC)Kalevan Urheilupuisto nurmi, Kerava

PKKU
2-0
JäPS

Full time

What was the result of PKKU vs JäPS?

PKKU won 2-0 on May 3, 2013.

Goalscorers

  • 27′J. TiiraPKKU
  • 42′J. TiiraPKKU

Official lineup for PKKU vs JäPS

The starting elevens fielded at kick-off.

PKKU

  1. 9J. Tiira
  2. 10M. Saari
  3. 16Miro Schwalenstöcker
  4. 34K. Hovi
  1. 3M. Närhi
  2. 6J. Kivinen
  3. 8O.Koivu
  1. 2E. Velakoski
  2. 21Tiago Moura
  3. 26Jere Lipsanen
  1. 32Timo Nieminen

JäPS

  1. 11J. Myllyniemi
  2. 20Ville Jauhiainen
  3. 24T. Kaunisto
  1. 7A. Autio
  2. 10Lauri Saarikoski
  3. 12J. Koivula
  1. 2A. Liesjärvi
  2. 3J. Norring
  3. 9Tuomo Huusko
  4. 25Anssi Tamminen
  1. 30J. Laiho
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What is the recent form of both teams?

Over their last 4 matches in all competitions, PKKU have 2 wins, 0 draws and 2 defeats; JäPS have 5, 0 and 3.

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

PKKU
DateOpponentScoreCompetition
Apr 28, 2013Sudet(away)2-1Kakkonen - Lohko A
Apr 3, 2013Viikkarit(away)0-1Suomen Cup
Mar 5, 2013TuPS(away)4-0Suomen Cup
Mar 8, 2012BK-46(home)2-3Suomen Cup
JäPS
DateOpponentScoreCompetition
Apr 27, 2013Kooteepee(home)2-5Kakkonen - Lohko A
Apr 20, 2013Sudet(away)2-1Kakkonen - Lohko A
Mar 9, 2013Viikkarit(away)2-4Suomen Cup
Oct 6, 2012Atlantis(home)3-1Kakkonen - Lohko C
Sep 30, 2012LPS(away)3-2Kakkonen - Lohko C

How many goals should we expect?

PKKU score 2.0 and concede 1.3 goals per match over their last 4; JäPS score 2.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PKKU2.01.312/43/4
JäPS2.02.007/87/8

Over the last 4 matches in all competitions.

A question about PKKU vs JäPS?

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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