Match

PeKa vs JäPS: result 1-2 and analysis

Kakkonen - Lohko AGroup A - 2Kick-off on June 6, 2021 at 03:30 PM (UTC)Arto Tolsa Areena, Kotka

PeKa
1-2
JäPS

Full time

What was the result of PeKa vs JäPS?

JäPS won 1-2 on June 6, 2021.

Goalscorers

  • 22′Miro SchwalenstöckerJäPS
  • 36′A. RistolaJäPS
  • 47′J. LaitinenPeKa (pen.)

Official lineup for PeKa vs JäPS

The starting elevens fielded at kick-off.

PeKa

  1. 10Jimi Lassila
  2. 11E. Oksanen
  1. 4K. Kolsi
  2. 7R. Koivikko
  3. 14O. Kekkonen
  4. 15Mikko Ryhänen
  5. 33J. Raivela
  1. 8L. Voikar
  2. 12J. Anttila
  3. 62J. Laitinen
  1. 1P. Piirainen

JäPS

  1. 15Miro Schwalenstöcker
  2. 22A. Ristola
  1. 4A. Abdi
  2. 10Ville Ahola
  3. 17J. Ärilä
  4. 68Alaeddin Alaeddine
  1. 13Ahmed Alaeddine
  2. 16R. Autio
  3. 25Olli Valto
  4. 39V. Vänttinen
  1. 32Altti Mäkinen
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What is the recent form of both teams?

Over their last 7 matches in all competitions, PeKa have 2 wins, 1 draw and 4 defeats; JäPS have 7, 1 and 7.

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

PeKa
DateOpponentScoreCompetition
May 29, 2021KäPa(home)1-0Kakkonen - Lohko A
Jan 30, 2021PEPO(home)2-2Kakkosen Cup
Jun 17, 2020Lahti(home)0-8Suomen Cup
Jun 9, 2020Kooteepee(away)0-2Friendlies Clubs
Mar 7, 2020MyPa(away)1-3Friendlies Clubs
JäPS
DateOpponentScoreCompetition
Jun 1, 2021Kiffen(home)5-1Kakkonen - Lohko A
Feb 12, 2021PEPO(home)0-1Kakkosen Cup
Feb 6, 2021FC Espoo(away)5-1Kakkosen Cup
Oct 31, 2020MiPK(home)3-0Kakkonen - Lohko A
Oct 24, 2020NJS(away)2-2Kakkonen - Lohko A

How many goals should we expect?

PeKa score 1.1 and concede 2.6 goals per match over their last 7; JäPS score 1.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PeKa1.12.623/75/7
JäPS1.91.728/1512/15

Over the last 7 matches in all competitions.

A question about PeKa 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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