Match

PIF vs SJK Akatemia: result 0-2 and analysis

YkkönenRegular Season - 2Kick-off on April 18, 2022 at 01:00 PM (UTC)Pajbackan kenttä, Parainen

PIF
0-2
SJK Akatemia

Full time

What was the result of PIF vs SJK Akatemia?

SJK Akatemia won 0-2 on April 18, 2022.

Goalscorers

  • 57′S. SipolaSJK Akatemia
  • 65′Nooa LaineSJK Akatemia

Official lineup for PIF vs SJK Akatemia

The starting elevens fielded at kick-off.

PIF

  1. 10G. Voca
  2. 14B. Heikkinen
  3. 17V. Pirhonen
  1. 6Matias Lahti
  2. 11Y. Muse
  1. 2F. Grönlund
  2. 3Akim Saeed Sairinen
  3. 4D. Enqvist
  4. 8K. Nevä
  5. 18V. Johansson
  1. 12O. Hakanpää

SJK Akatemia

  1. 4O. Pihlaja
  2. 9S. Obioha
  3. 35K. Ofori
  1. 8Nooa Laine
  2. 21V. Olsbo
  3. 22V. Gasc
  1. 2K. Rintamäki
  2. 3B. Akdogan
  3. 15S. Sipola
  4. 24M. Vainionpää
  1. 1Tuomas Pöyhönen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, PIF have 5 wins, 2 draws and 8 defeats; SJK Akatemia have 8, 1 and 6.

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

PIF
DateOpponentScoreCompetition
Apr 13, 2022Mariehamn(home)0-3Suomen Cup
Mar 16, 2022HIFK Helsinki(away)0-3Friendlies Clubs
Mar 6, 2022Mariehamn(away)1-1Friendlies Clubs
Feb 26, 2022Turku PS(away)1-3Ykköscup
Feb 12, 2022PK-35(home)0-1Ykköscup
SJK Akatemia
DateOpponentScoreCompetition
Apr 10, 2022OLS(away)2-1Suomen Cup
Apr 5, 2022Ilves II(home)0-1Friendlies Clubs
Apr 2, 2022PK-35(away)1-3Friendlies Clubs
Mar 30, 2022FC jazz(home)4-1Friendlies Clubs
Mar 5, 2022Turku PS(away)0-3Ykköscup

How many goals should we expect?

PIF score 1.5 and concede 1.7 goals per match over their last 15; SJK Akatemia score 1.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PIF1.51.737/1510/15
SJK Akatemia1.91.548/1511/15

Over the last 15 matches in all competitions.

A question about PIF vs SJK Akatemia?

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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