Match

FK Partizan vs Rīgas FS: result 1-0 and analysis

UEFA Europa League1st Qualifying RoundKick-off on August 27, 2020 at 07:00 PM (UTC)Stadion Partizana, Beograd

FK Partizan
1-0
Rīgas FS

Full time

What was the result of FK Partizan vs Rīgas FS?

FK Partizan won 1-0 on August 27, 2020.

Goalscorers

  • 51′B. NatchoFK Partizan (pen.)

Official lineup for FK Partizan vs Rīgas FS

The starting elevens fielded at kick-off.

FK Partizan

4-2-3-1
  1. 80F. Stevanović
  1. 9U. Sadiq
  2. 11T. Asano
  3. 16S. Zdjelar
  1. 19A. Šćekić
  2. 6B. Natcho
  1. 72S. Urošević
  2. 3M. Bagnack
  3. 73N. Miletić
  4. 15U. Vitas
  1. 88V. Stojković

Rīgas FS

4-3-3
  1. 17C. Kouadio
  2. 22D. Lemajić
  3. 5L. Strumia
  1. 10J. Ikaunieks
  2. 11R. Savaļnieks
  3. 24T. Šarić
  1. 81Tomáš Šimkovič
  2. 43Ž. Lipušček
  3. 92V. Jagodinskis
  4. 36Aleksandrs Solovjovs
  1. 13D. Kucher
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What is the recent form of both teams?

Over their last 15 matches in all competitions, FK Partizan have 11 wins, 1 draw and 3 defeats; Rīgas FS have 12, 1 and 2.

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

FK Partizan
DateOpponentScoreCompetition
Aug 22, 2020Indjija(home)5-0Super Liga
Aug 15, 2020Radnik Surdulica(away)2-0Super Liga
Aug 9, 2020Javor(home)4-0Super Liga
Aug 5, 2020Novi Pazar(away)2-3Super Liga
Aug 1, 2020Napredak(away)3-1Super Liga
Rīgas FS
DateOpponentScoreCompetition
Aug 21, 2020Metta / LU(home)5-1Virsliga
Aug 16, 2020BFC Daugavpils(home)2-1Virsliga
Aug 12, 2020Jelgava(away)4-0Virsliga
Aug 8, 2020FK Liepaja(home)3-0Virsliga
Aug 3, 2020Spartaks Jurmala(away)1-1Virsliga

How many goals should we expect?

FK Partizan score 2.7 and concede 1.0 goals per match over their last 15; Rīgas FS score 2.9 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FK Partizan2.71.059/1512/15
Rīgas FS2.91.069/1512/15

Over the last 15 matches in all competitions.

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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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