Match

KuFu-98 vs JäPS: result 0-4 and analysis

Kakkonen - Lohko ARegular Season - 5Kick-off on May 25, 2014 at 02:00 PM (UTC)Väre Areena, Kuopio

KuFu-98
0-4
JäPS

Full time

What was the result of KuFu-98 vs JäPS?

JäPS won 0-4 on May 25, 2014.

Goalscorers

  • 9′R. AutioJäPS
  • 48′A. AutioJäPS (pen.)
  • 67′H. KhayatJäPS
  • 84′Kron RexhepiJäPS

Official lineup for KuFu-98 vs JäPS

The starting elevens fielded at kick-off.

KuFu-98

  1. 18Jarkko Pirinen
  2. 22Joona Kemppainen
  3. 23Petri Luhio
  1. 9Harri Penttilä
  2. 10Miikka Pasanen
  3. 11J. Väisänen
  4. 15E. Nissilä
  5. 20T. Lankinen
  1. 3Sami Räsänen
  2. 44Oskari Kantanen
  1. 12J. Miettinen

JäPS

  1. 19J. Ollila
  1. 4Miikka Kärkkäinen
  2. 7A. Autio
  3. 8Kron Rexhepi
  4. 10Lauri Saarikoski
  1. 3J. Norring
  2. 5L. Palovaara
  3. 16R. Autio
  4. 18H. Khayat
  5. 24J. Paananen
  1. 31Dmitry Chudaykin
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What is the recent form of both teams?

Over their last 7 matches in all competitions, KuFu-98 have 3 wins, 1 draw and 3 defeats; JäPS have 6, 1 and 8.

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

KuFu-98
DateOpponentScoreCompetition
May 18, 2014Lahti Akatemia(away)2-1Kakkonen - Lohko A
May 11, 2014Viikkarit(home)2-1Kakkonen - Lohko A
May 3, 2014PKKU(away)1-2Kakkonen - Lohko A
Apr 26, 2014Kultsu(away)0-4Kakkonen - Lohko A
Apr 18, 2014Futura(home)0-0Kakkonen - Lohko A
JäPS
DateOpponentScoreCompetition
May 17, 2014PKKU(home)1-3Kakkonen - Lohko A
May 10, 2014Lahti Akatemia(home)2-0Kakkonen - Lohko A
May 4, 2014Futura(away)0-0Kakkonen - Lohko A
Apr 25, 2014Atlantis(away)2-1Kakkonen - Lohko A
Apr 1, 2014JJK(home)1-3Suomen Cup

How many goals should we expect?

KuFu-98 score 2.0 and concede 1.7 goals per match over their last 7; JäPS score 1.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KuFu-982.01.724/76/7
JäPS1.31.959/159/15

Over the last 7 matches in all competitions.

A question about KuFu-98 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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