Match

MyPa vs KuFu-98: result 1-0 and analysis

Kakkonen - Lohko AGroup A - 3Kick-off on June 16, 2021 at 03:30 PM (UTC)Kymenlaakson Sähkö Stadion, Myllykoski

MyPa
1-0
KuFu-98

Full time

What was the result of MyPa vs KuFu-98?

MyPa won 1-0 on June 16, 2021.

Goalscorers

  • 82′J. RämäMyPa

Official lineup for MyPa vs KuFu-98

The starting elevens fielded at kick-off.

MyPa

  1. 10T. Räikkönen
  2. 16J. Rämä
  3. 23J. Lanu
  4. 27T. Roponen
  1. 15S. Hernesniemi
  2. 17J. Hassel
  3. 31J. Lindberg
  1. 7R. Ryöpäs
  2. 24V. Kangasniemi
  3. 26J. Martikainen
  1. 30J. Peltola

KuFu-98

  1. 14Albert Vauhkonen
  2. 24L. Kosunen
  1. 10E. Varis
  2. 16Niklas Mäkelä
  3. 18T. Partanen
  4. 19Viljami Aittokoski
  5. 21O. Nenonen
  1. 5E. Salminen
  2. 20S. Miettinen
  3. 22Joel Vartiainen
  1. 12Valtteri Molari
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What is the recent form of both teams?

Over their last 15 matches in all competitions, MyPa have 0 wins, 1 draw and 14 defeats; KuFu-98 have 6, 2 and 7.

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

MyPa
DateOpponentScoreCompetition
Jun 12, 2021MiPK(away)1-5Kakkonen - Lohko A
Jun 4, 2021Reipas(away)2-3Kakkonen - Lohko A
May 29, 2021NJS(home)0-2Kakkonen - Lohko A
Feb 7, 2021PEPO(away)1-2Kakkosen Cup
Oct 31, 2020SJK Akatemia(away)0-2Ykkönen
KuFu-98
DateOpponentScoreCompetition
Jun 12, 2021Kiffen(home)7-0Kakkonen - Lohko A
Jun 4, 2021PEPO(away)2-3Kakkonen - Lohko A
May 30, 2021MiPK(home)6-0Kakkonen - Lohko A
Apr 10, 2021MP(away)1-4Friendlies Clubs
Nov 7, 2020JBK(home)3-2Kakkonen - Lohko C

How many goals should we expect?

MyPa score 0.9 and concede 4.0 goals per match over their last 15; KuFu-98 score 2.3 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
MyPa0.94.009/1512/15
KuFu-982.31.838/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
9MyPa184311203915

A question about MyPa vs KuFu-98?

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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