Match

JäPS vs EPS: result 3-1 and analysis

Kakkonen - Lohko AGroup A - 13Kick-off on September 26, 2020 at 12:00 PM (UTC)Järvenpään keskuskenttä, Järvenpää

JäPS
3-1
EPS

Full time

What was the result of JäPS vs EPS?

JäPS won 3-1 on September 26, 2020.

Goalscorers

  • 18′Lum RexhepiJäPS
  • 56′A. AhoEPS
  • 63′Lum RexhepiJäPS
  • 79′T. KyytsönenJäPS

Official lineup for JäPS vs EPS

The starting elevens fielded at kick-off.

JäPS

  1. 12Tuure Nummi
  2. 15Miro Schwalenstöcker
  1. 19H. Kuosa
  2. 21J. Sundström
  3. 68Alaeddin Alaeddine
  1. 2V. Karlsson
  2. 4Lum Rexhepi
  3. 16R. Autio
  4. 23H. Khayat
  5. 27K. Kurittu
  1. 32Altti Mäkinen

EPS

  1. 11J. Ahopelto
  2. 29V. Pirhonen
  1. 8Valmir Seferi
  2. 19V. Azemi
  3. 27Joonas Vesaaja
  4. 31Elbasan Kabashi
  1. 3A. Aho
  2. 18Juho Vauhkala
  3. 24Astrit Kabashi
  4. 33T. Sjöstedt
  1. 12H. Louhivaara
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What is the recent form of both teams?

Over their last 15 matches in all competitions, JäPS have 7 wins, 2 draws and 6 defeats; EPS have 6, 6 and 3.

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

JäPS
DateOpponentScoreCompetition
Sep 19, 2020PK-35(away)1-3Kakkonen - Lohko A
Sep 12, 2020NJS(home)3-2Kakkonen - Lohko A
Aug 29, 2020PKKU(away)3-1Kakkonen - Lohko A
Aug 15, 2020PK-35(home)0-1Kakkonen - Lohko A
Aug 8, 2020PKKU(home)3-0Kakkonen - Lohko A
EPS
DateOpponentScoreCompetition
Sep 19, 2020Kiffen(away)1-0Kakkonen - Lohko A
Sep 12, 2020Viikingit(home)4-1Kakkonen - Lohko A
Aug 28, 2020Honka Akatemia(away)0-1Kakkonen - Lohko A
Aug 15, 2020Kiffen(home)0-1Kakkonen - Lohko A
Aug 8, 2020Honka Akatemia(home)0-0Kakkonen - Lohko A

How many goals should we expect?

JäPS score 2.1 and concede 1.9 goals per match over their last 15; EPS score 1.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
JäPS2.11.949/1512/15
EPS1.71.249/156/15

Over the last 15 matches in all competitions.

A question about JäPS vs EPS?

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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