Match

Kooteepee vs PKKU: result 1-0 and analysis

Kakkonen - Lohko ARegular Season - 4Kick-off on May 26, 2013 at 03:30 PM (UTC)Arto Tolsa Areena

Kooteepee
1-0
PKKU

Full time

What was the result of Kooteepee vs PKKU?

Kooteepee won 1-0 on May 26, 2013.

Goalscorers

  • 27′Janne LaaksoKooteepee

Official lineup for Kooteepee vs PKKU

The starting elevens fielded at kick-off.

Kooteepee

  1. 10N. Ikävalko
  2. 18A. Tarvonen
  3. 30Arttu Seppälä
  1. 2H. Peltola
  2. 3J. Lauretsalo
  3. 8Janne Laakso
  4. 9Ville Oksanen
  5. 28Nouhoum Kobéna
  1. 4S. Leigh
  2. 62J. Laitinen
  1. 1V. Sjöblom

PKKU

  1. 7Lauri Saari
  2. 9J. Tiira
  3. 10M. Saari
  4. 34K. Hovi
  1. 3M. Närhi
  2. 6J. Kivinen
  3. 36Filipe Monteiro de Mello
  1. 2E. Velakoski
  2. 4J. Puljujärvi
  3. 13Markus Metso
  1. 32Timo Nieminen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kooteepee have 9 wins, 3 draws and 3 defeats; PKKU have 4, 2 and 2.

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

Kooteepee
DateOpponentScoreCompetition
May 21, 2013Atlantis(away)1-1Kakkonen - Lohko A
May 19, 2013AC Kajaani(home)1-0Ykkönen
May 14, 2013Lahti Akatemia(away)3-1Kakkonen - Lohko A
May 13, 2013Haka(home)1-0Ykkönen
May 9, 2013AC Oulu(away)3-3Ykkönen
PKKU
DateOpponentScoreCompetition
May 19, 2013Futura(home)2-2Kakkonen - Lohko A
May 12, 2013POHU(home)4-0Kakkonen - Lohko A
May 9, 2013Atlantis(away)0-0Kakkonen - Lohko A
May 3, 2013JäPS(home)2-0Kakkonen - Lohko A
Apr 28, 2013Sudet(away)2-1Kakkonen - Lohko A

How many goals should we expect?

Kooteepee score 2.1 and concede 1.3 goals per match over their last 15; PKKU score 2.0 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kooteepee2.11.366/159/15
PKKU2.00.943/85/8

Over the last 15 matches in all competitions.

A question about Kooteepee vs PKKU?

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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