Match

PIF vs KPV-j: result 1-2 and analysis

YkkönenRegular Season - 4Kick-off on May 14, 2022 at 02:00 PM (UTC)Pajbackan kenttä, Parainen

PIF
1-2
KPV-j

Full time

What was the result of PIF vs KPV-j?

KPV-j won 1-2 on May 14, 2022.

Goalscorers

  • 59′H. HeiermannKPV-j
  • 66′H. HeiermannKPV-j
  • 71′J. AdolfssonPIF

Official lineup for PIF vs KPV-j

The starting elevens fielded at kick-off.

PIF

  1. 10G. Voca
  2. 14B. Heikkinen
  1. 6Matias Lahti
  2. 11Y. Muse
  3. 25Thomas Hradecký
  1. 2F. Grönlund
  2. 3Akim Saeed Sairinen
  3. 4D. Enqvist
  4. 8K. Nevä
  5. 23J. Adolfsson
  1. 12O. Hakanpää

KPV-j

  1. 8S. Mannström
  2. 10H. Heiermann
  3. 13J. Järvinen
  4. 20R. Pietsalo
  1. 2J. Ihalainen
  2. 5M. Beuker
  3. 12K. Curinga
  4. 14M. Kauppila
  5. 19Shun Maeta
  6. 21C. Chantzopoulos
  1. 33S. Lazarev
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What is the recent form of both teams?

Over their last 15 matches in all competitions, PIF have 2 wins, 3 draws and 10 defeats; KPV-j have 7, 1 and 7.

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

PIF
DateOpponentScoreCompetition
May 9, 2022Turku PS(away)2-0Ykkönen
Apr 30, 2022MP(home)2-3Ykkönen
Apr 25, 2022PK-35(away)2-2Ykkönen
Apr 18, 2022SJK Akatemia(home)0-2Ykkönen
Apr 13, 2022Mariehamn(home)0-3Suomen Cup
KPV-j
DateOpponentScoreCompetition
May 8, 2022Kooteepee(home)1-3Ykkönen
May 3, 2022VPS(home)1-5Suomen Cup
Apr 29, 2022JäPS(away)0-0Ykkönen
Apr 23, 2022Gnistan(home)0-2Ykkönen
Apr 18, 2022MP(home)3-2Ykkönen

How many goals should we expect?

PIF score 1.1 and concede 2.0 goals per match over their last 15; KPV-j score 1.9 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PIF1.12.027/159/15
KPV-j1.91.838/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
11KPV-j265318277918

A question about PIF vs KPV-j?

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: PIF and KPV-j

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