Match

SJK Akatemia vs JJK: result 3-1 and analysis

Kakkonen - Lohko CGroup C - 2Kick-off on May 17, 2021 at 03:30 PM (UTC)OmaSP Stadion, Seinäjoki

SJK Akatemia
3-1
JJK

Full time

What was the result of SJK Akatemia vs JJK?

SJK Akatemia won 3-1 on May 17, 2021.

Goalscorers

  • 41′D. SäilySJK Akatemia
  • 45′M. ManninenJJK
  • 61′A. LeivonenSJK Akatemia (o.g.)
  • 86′O. AdawiSJK Akatemia

Official lineup for SJK Akatemia vs JJK

The starting elevens fielded at kick-off.

SJK Akatemia

  1. 35K. Ofori
  1. 7D. Säily
  2. 8Nooa Laine
  3. 9G. Westerlund
  4. 21V. Olsbo
  5. 24Hope Akpan
  6. 30O. Günes
  1. 2K. Rintamäki
  2. 16M. Vainionpää
  3. 20J. Sundman
  1. 1W. Rosenlöf

JJK

  1. 25J. Pasanen
  2. 29A. Pllana
  3. 34A. Leivonen
  1. 5M. Manninen
  2. 7Joonas Madetoja
  3. 11V. Lepo
  1. 4T. Koivisto
  2. 18J. Porkka
  3. 21T. Hoffrén
  4. 27A. Åke
  1. 28A. Riihimäki
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What is the recent form of both teams?

Over their last 15 matches in all competitions, SJK Akatemia have 6 wins, 3 draws and 6 defeats; JJK have 5, 2 and 8.

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

SJK Akatemia
DateOpponentScoreCompetition
May 7, 2021JBK(away)2-3Kakkonen - Lohko C
Apr 29, 2021FF Jaro(home)2-1Friendlies Clubs
Mar 6, 2021SJK(home)0-3Suomen Cup
Feb 20, 2021Ilves II(home)1-1Kakkosen Cup
Feb 13, 2021OLS(home)5-2Kakkosen Cup
JJK
DateOpponentScoreCompetition
Apr 24, 2021MP(home)1-1Friendlies Clubs
Feb 7, 2021Ilves II(away)1-4Kakkosen Cup
Nov 7, 2020GBK(away)1-3Kakkonen - Lohko C
Oct 24, 2020RoPS II(away)1-4Kakkonen - Lohko C
Oct 18, 2020PS Kemi Kings(home)2-1Kakkonen - Lohko C

How many goals should we expect?

SJK Akatemia score 1.8 and concede 1.5 goals per match over their last 15; JJK score 1.5 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SJK Akatemia1.81.5410/159/15
JJK1.52.1112/1511/15

Over the last 15 matches in all competitions.

A question about SJK Akatemia vs JJK?

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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