Match

JäPS vs SJK Akatemia: result 1-1 and analysis

YkkönenRegular Season - 5Kick-off on June 3, 2022 at 03:30 PM (UTC)Järvenpään keskuskenttä, Järvenpää

JäPS
1-1
SJK Akatemia

Full time

What was the result of JäPS vs SJK Akatemia?

JäPS and SJK Akatemia drew 1-1 on June 3, 2022.

Goalscorers

  • 19′K. RintamäkiSJK Akatemia
  • 25′A. RistolaJäPS

Official lineup for JäPS vs SJK Akatemia

The starting elevens fielded at kick-off.

JäPS

  1. 9A. Ristola
  2. 88A. Ulmanen
  1. 8R. Heidari
  2. 17J. Ärilä
  3. 21Albin Mehmeti
  4. 27Hassan Mila Sesay
  1. 2T. Palmasto
  2. 3A. Ceesay
  3. 7H. Khayat
  4. 25Olli Valto
  1. 1J. Laiho

SJK Akatemia

  1. 4O. Pihlaja
  2. 9S. Obioha
  3. 35K. Ofori
  1. 21V. Olsbo
  2. 22V. Gasc
  3. 36D. Cukici
  1. 2K. Rintamäki
  2. 14S. Sipola
  3. 17N. Lehtonen
  4. 27T. Yegbe
  1. 1Tuomas Pöyhönen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, JäPS have 7 wins, 3 draws and 5 defeats; SJK Akatemia have 8, 1 and 6.

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

JäPS
DateOpponentScoreCompetition
May 29, 2022PIF(away)1-0Ykkönen
May 25, 2022FC Komeetat(home)3-1Suomen Cup
May 20, 2022Kooteepee(home)2-1Ykkönen
May 13, 2022EIF(home)1-0Ykkönen
May 8, 2022Gnistan(away)1-10Ykkönen
SJK Akatemia
DateOpponentScoreCompetition
May 29, 2022Gnistan(home)4-0Ykkönen
May 25, 2022SJK(home)2-3Suomen Cup
May 21, 2022KPV-j(away)3-0Ykkönen
May 15, 2022Turku PS(home)0-2Ykkönen
May 11, 2022PK-35(home)4-1Ykkönen

How many goals should we expect?

JäPS score 1.4 and concede 1.9 goals per match over their last 15; SJK Akatemia score 2.1 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JäPS1.41.958/1510/15
SJK Akatemia2.11.348/1511/15

Over the last 15 matches in all competitions.

A question about JäPS 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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