Match

JäPS II vs Kiffen: result 0-1 and analysis

Kakkonen - Lohko AGroup A - 3Kick-off on April 25, 2024 at 03:30 PM (UTC)Järvenpää TN, Järvenpää

JäPS II
0-1
Kiffen

Full time

What was the result of JäPS II vs Kiffen?

Kiffen won 0-1 on April 25, 2024.

Goalscorers

  • 67′S. HeiskaKiffen

Official lineup for JäPS II vs Kiffen

The starting elevens fielded at kick-off.

JäPS II

  1. 9Akseli Pohjantähti
  2. 20E. Dits
  1. 6V. Manner
  2. 17J. Sivunen
  3. 62D. Hvidberg
  4. 77J. Järvinen
  1. 24U. Kumpulainen
  2. 25Olli Valto
  3. 39V. Vänttinen
  4. 41J. Kyander
  1. 1Onni Haikonen

Kiffen

  1. 9S. Heiska
  2. 13Santeri Karjalainen
  1. 5L. Ussher
  2. 6E. Lehtinen
  3. 18K. Jmaali
  4. 29M. Markhiyev
  1. 4A. Loukiainen
  2. 22I. Lappalainen
  3. 27T. Saarikko
  4. 28A. Mäkinen
  1. 30N. Tervonen
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What is the recent form of both teams?

Over their last 8 matches in all competitions, JäPS II have 3 wins, 1 draw and 4 defeats; Kiffen have 5, 2 and 8.

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

JäPS II
DateOpponentScoreCompetition
Apr 21, 2024GrIFK(away)1-2Kakkonen - Lohko A
Apr 16, 2024Gnistan O35(away)5-1Suomen Cup
Apr 11, 2024Atlantis II(away)1-2Kakkonen - Lohko A
Apr 26, 2023KäPa(home)1-4Suomen Cup
Apr 4, 2023Akilles(away)0-0Suomen Cup
Kiffen
DateOpponentScoreCompetition
Apr 20, 2024Atlantis II(home)2-4Kakkonen - Lohko A
Apr 16, 2024PPJ(home)0-1Suomen Cup
Apr 13, 2024Reipas(away)3-1Kakkonen - Lohko A
Oct 7, 2023PKKU(away)1-2Kakkonen - Lohko A
Oct 1, 2023PPJ(home)0-0Kakkonen - Lohko A

How many goals should we expect?

JäPS II score 3.0 and concede 1.8 goals per match over their last 8; Kiffen score 1.1 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JäPS II3.01.826/87/8
Kiffen1.11.819/1511/15

Over the last 8 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
1Kiffen181233412439

A question about JäPS II vs Kiffen?

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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