Match

I-Kissat vs PIF: result 2-3 and analysis

Kakkonen - Lohko BGroup B - 2Kick-off on June 6, 2021 at 03:30 PM (UTC)Lamminpää urheilukenttä, Tampere

I-Kissat
2-3
PIF

Full time

What was the result of I-Kissat vs PIF?

PIF won 2-3 on June 6, 2021.

Goalscorers

  • 7′G. VocaPIF
  • 9′J. NganbeI-Kissat
  • 41′G. VocaPIF
  • 60′G. VocaPIF
  • 90′E. HelminenI-Kissat (pen.)

Official lineup for I-Kissat vs PIF

The starting elevens fielded at kick-off.

I-Kissat

  1. 2J. Nganbe
  2. 10T. Toijala
  3. 21P. Ahola
  1. 11E. Kuusela
  2. 16E. Helminen
  3. 24Juha Jokinen
  1. 4A. Kovaqi
  2. 5J. Ihalainen
  3. 17W. Valtonen
  4. 19Aleksi Siren
  1. 22S. Maja

PIF

  1. 10G. Voca
  2. 28Elias Untamala
  1. 6Matias Lahti
  2. 11Y. Muse
  3. 19Saliw Babawo
  4. 25Thomas Hradecký
  1. 2F. Grönlund
  2. 4D. Enqvist
  3. 8K. Nevä
  4. 23J. Adolfsson
  1. 1A. Uschanoff
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What is the recent form of both teams?

Over their last 15 matches in all competitions, I-Kissat have 3 wins, 7 draws and 5 defeats; PIF have 7, 5 and 3.

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

I-Kissat
DateOpponentScoreCompetition
May 29, 2021Ilves II(away)1-1Kakkonen - Lohko B
Feb 6, 2021HJS Akatemia(away)0-2Kakkosen Cup
Jan 30, 2021TPV(away)4-2Kakkosen Cup
Oct 3, 2015Atlantis(away)0-0Kakkonen - Lohko B
Sep 25, 2015JäPS(home)5-0Kakkonen - Lohko B
PIF
DateOpponentScoreCompetition
Feb 20, 2021PEPO(away)2-2Kakkosen Cup
Feb 13, 2021NJS(away)3-1Kakkosen Cup
Feb 6, 2021EPS(away)3-0Kakkosen Cup
Oct 31, 2020FC Espoo(home)2-0Kakkonen - Lohko B
Oct 24, 2020Ilves II(away)0-2Kakkonen - Lohko B

How many goals should we expect?

I-Kissat score 1.3 and concede 1.3 goals per match over their last 15; PIF score 1.8 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
I-Kissat1.31.3210/156/15
PIF1.81.249/159/15

Over the last 15 matches in all competitions.

A question about I-Kissat vs PIF?

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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