Match

KuPS Akatemia vs EPS: result 2-1 and analysis

YkkönenRegular Season - 9Kick-off on June 2, 2024 at 03:30 PM (UTC)Väre Areena, Kuopio

KuPS Akatemia
2-1
EPS

Full time

What was the result of KuPS Akatemia vs EPS?

KuPS Akatemia won 2-1 on June 2, 2024.

Goalscorers

  • 30′S. SaarinenKuPS Akatemia
  • 44′M. AlsheikhKuPS Akatemia
  • 52′O. DahlforsEPS

Official lineup for KuPS Akatemia vs EPS

The starting elevens fielded at kick-off.

KuPS Akatemia

  1. 9M. Alsheikh
  2. 11A. Tuunanen
  1. 8N. Kivijärvi
  2. 10K. Wehliye
  3. 15J. Kivijärvi
  4. 36T. Hukkanen
  1. 2R. Tikkanen
  2. 13E. Kauppinen
  3. 14L. Kohonen
  4. 16S. Saarinen
  1. 12M. Pitkänen

EPS

  1. 9V. Bela
  2. 27A. Ahmed-Nur
  3. 30T. Järvinen
  1. 10O. Rautiainen
  2. 15V. Blummé
  3. 16V. Salavuo
  4. 17M. Ahmed
  5. 77O. Dahlfors
  1. 21R. Sipi
  2. 49A. Hussein
  1. 1O. Lyberopoulos
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What is the recent form of both teams?

Over their last 15 matches in all competitions, KuPS Akatemia have 4 wins, 1 draw and 10 defeats; EPS have 8, 3 and 4.

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

KuPS Akatemia
DateOpponentScoreCompetition
May 30, 2024Vaajakoski(home)5-1Ykkönen
May 26, 2024Rops(away)1-1Ykkönen
May 23, 2024OLS(home)1-3Ykkönen
May 18, 2024KPV-j(away)0-1Ykkönen
May 12, 2024PKKU(away)2-1Ykkönen
EPS
DateOpponentScoreCompetition
May 26, 2024PKKU(home)2-2Ykkönen
May 22, 2024Vaajakoski(away)1-0Ykkönen
May 18, 2024FC jazz(home)2-0Ykkönen
May 12, 2024Klubi-04(away)0-0Ykkönen
May 8, 2024NJS(away)3-0Suomen Cup

How many goals should we expect?

KuPS Akatemia score 1.2 and concede 2.3 goals per match over their last 15; EPS score 1.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
KuPS Akatemia1.22.327/159/15
EPS1.90.976/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
12KuPS Akatemia273717446516

A question about KuPS Akatemia 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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