Match

Rīgas FS vs KuPS: result 1-2 and analysis

UEFA Europa League3rd Qualifying RoundKick-off on August 6, 2025 at 05:00 PM (UTC)LNK Sporta Parks (dabīgais), Rīga (Riga)

Rīgas FS
1-2
KuPS

Full time

What was the result of Rīgas FS vs KuPS?

KuPS won 1-2 on August 6, 2025.

Goalscorers

  • 14′J. OksanenKuPS
  • 24′M. ToureKuPS
  • 61′B. DiedhiouRīgas FS

Official lineup for Rīgas FS vs KuPS

The starting elevens fielded at kick-off.

Rīgas FS

4-2-3-1
  1. 22D. Lemajić
  1. 70M. Gaye
  2. 37T. Wouter
  3. 18D. Zelenkovs
  1. 30H. Njie
  2. 26S. Panić
  1. 25P. Mareš
  2. 21E. Stuglis
  3. 4R. Veips
  4. 11R. Savaļnieks
  1. 35M. Marić

KuPS

4-2-3-1
  1. 20M. Toure
  1. 8P. Pennanen
  2. 7J. Voutilainen
  3. 34O. Ruoppi
  1. 10D. Arifi
  2. 13J. Oksanen
  1. 6S. Savolainen
  2. 16S. Miettinen
  3. 15I. Cissé
  4. 24B. Armah
  1. 1J. Kreidl
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Rīgas FS have 12 wins, 0 draws and 3 defeats; KuPS have 7, 5 and 3.

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

Rīgas FS
DateOpponentScoreCompetition
Aug 3, 2025Grobiņa(away)3-2Virsliga
Jul 30, 2025Malmo FF(away)0-1UEFA Champions League
Jul 26, 2025Tukums(home)6-2Virsliga
Jul 22, 2025Malmo FF(home)1-4UEFA Champions League
Jul 19, 2025Metta / LU(away)4-0Virsliga
KuPS
DateOpponentScoreCompetition
Aug 2, 2025Haka(home)3-2Veikkausliiga
Jul 29, 2025Kairat Almaty(away)0-3UEFA Champions League
Jul 22, 2025Kairat Almaty(home)2-0UEFA Champions League
Jul 19, 2025VPS(away)1-1Veikkausliiga
Jul 15, 2025Milsami Orhei(away)0-0UEFA Champions League

How many goals should we expect?

Rīgas FS score 2.5 and concede 1.0 goals per match over their last 15; KuPS score 1.8 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rīgas FS2.51.077/159/15
KuPS1.81.166/157/15

Over the last 15 matches in all competitions.

A question about Rīgas FS vs KuPS?

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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