Match

JäPS vs EIF: result 1-0 and analysis

YkkönenRegular Season - 4Kick-off on May 13, 2022 at 03:30 PM (UTC)Järvenpään keskuskenttä, Järvenpää

JäPS
1-0
EIF

Full time

What was the result of JäPS vs EIF?

JäPS won 1-0 on May 13, 2022.

Goalscorers

  • 8′A. RistolaJäPS

Official lineup for JäPS vs EIF

The starting elevens fielded at kick-off.

JäPS

  1. 9A. Ristola
  1. 8R. Heidari
  2. 17J. Ärilä
  3. 21Albin Mehmeti
  4. 22Luqman Kassim
  5. 27Hassan Mila Sesay
  1. 3A. Ceesay
  2. 7H. Khayat
  3. 16R. Autio
  4. 25Olli Valto
  1. 1J. Laiho

EIF

  1. 7A. Larsson
  1. 2Y. Daoussi
  2. 10V. Rashica
  3. 14S. Lindholm
  4. 22Mayindou Karl Madianga
  5. 31S. Efimov
  1. 4I. Äijö
  2. 5O. Pettersson
  3. 63A. Forsström
  4. 77Kévin Sola Moihedja
  1. 1Mehdi El Moutacim
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What is the recent form of both teams?

Over their last 15 matches in all competitions, JäPS have 6 wins, 3 draws and 6 defeats; EIF have 8, 3 and 4.

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

JäPS
DateOpponentScoreCompetition
May 8, 2022Gnistan(away)1-10Ykkönen
May 3, 2022HyPS(away)2-1Suomen Cup
Apr 29, 2022KPV-j(home)0-0Ykkönen
Apr 23, 2022Turku PS(away)0-3Ykkönen
Apr 18, 2022FF Jaro(home)0-0Ykkönen
EIF
DateOpponentScoreCompetition
May 8, 2022FF Jaro(home)2-1Ykkönen
May 3, 2022KaaPo(away)2-2Suomen Cup
Apr 30, 2022Gnistan(away)1-1Ykkönen
Apr 23, 2022PEPO(home)2-1Ykkönen
Apr 18, 2022Turku PS(home)1-3Ykkönen

What does the head-to-head say?

In the last meeting: 0 JäPS wins, 0 draws, 1 EIF win.

DateScoreCompetition
Apr 2, 2022EIF 3-1 JäPSFriendlies Clubs

Last archived meeting: EIF vs JäPS on Apr 2, 2022

How many goals should we expect?

JäPS score 1.7 and concede 2.3 goals per match over their last 15; EIF score 1.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JäPS1.72.349/1512/15
EIF1.71.449/1511/15

Over the last 15 matches in all competitions.

A question about JäPS vs EIF?

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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