Match

JäPS vs POHU: result 2-0 and analysis

Kakkonen - Lohko ARegular Season - 5Kick-off on June 3, 2013 at 03:30 PM (UTC)Järvenpään keskuskenttä, Järvenpää

JäPS
2-0
POHU

Full time

What was the result of JäPS vs POHU?

JäPS won 2-0 on June 3, 2013.

Goalscorers

  • 42′J. MyllyniemiJäPS
  • 90′T. UusitaloJäPS

Official lineup for JäPS vs POHU

The starting elevens fielded at kick-off.

JäPS

  1. 11J. Myllyniemi
  2. 22Oskari Partonen
  1. 10Lauri Saarikoski
  2. 20T. Kyytsönen
  3. 18M. Osipow
  1. 2A. Liesjärvi
  2. 3J. Norring
  3. 5L. Palovaara
  4. 9Tuomo Huusko
  5. 21T. Uusitalo
  1. 30J. Laiho

POHU

  1. 19Phillip Nduka
  2. 21D. Kovalenko
  1. 25Liridon Islami
  2. 4V. Honkanen
  3. 10L. Mäkelä
  4. 11T. Oja
  5. 15A. Ennekari
  6. 17T. Hokkanen
  1. 3S. Laatikainen
  2. 24J. Nieminen
  1. 23J. Bruun
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What is the recent form of both teams?

Over their last 13 matches in all competitions, JäPS have 7 wins, 0 draws and 6 defeats; POHU have 3, 0 and 4.

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

JäPS
DateOpponentScoreCompetition
May 25, 2013Lahti Akatemia(away)0-1Kakkonen - Lohko A
May 19, 2013Sudet(home)2-0Kakkonen - Lohko A
May 12, 2013Futura(away)1-2Kakkonen - Lohko A
May 9, 2013MP(home)3-0Kakkonen - Lohko A
May 3, 2013PKKU(away)0-2Kakkonen - Lohko A
POHU
DateOpponentScoreCompetition
May 30, 2013Atlantis(home)2-1Kakkonen - Lohko A
May 26, 2013Sudet(home)1-0Kakkonen - Lohko A
May 19, 2013MP(away)0-6Kakkonen - Lohko A
May 12, 2013PKKU(away)0-4Kakkonen - Lohko A
May 8, 2013Lahti Akatemia(home)0-1Kakkonen - Lohko A

How many goals should we expect?

JäPS score 1.7 and concede 1.6 goals per match over their last 13; POHU score 0.7 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JäPS1.71.628/139/13
POHU0.72.022/74/7

Over the last 13 matches in all competitions.

A question about JäPS vs POHU?

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

Other matches in the same round

Next match: JäPS and POHU

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