Match

Sutjeska vs Cosmos: result 1-0 and analysis

UEFA Europa Conference League1st Qualifying RoundKick-off on July 13, 2023 at 06:30 PM (UTC)DG Arena, Podgorica

Sutjeska
1-0
Cosmos

Full time

What was the result of Sutjeska vs Cosmos?

Sutjeska won 1-0 on July 13, 2023.

Goalscorers

  • 79′B. MarkovićSutjeska

Official lineup for Sutjeska vs Cosmos

The starting elevens fielded at kick-off.

Sutjeska

4-2-3-1
  1. 9V. Striković
  1. 26D. Vuković
  2. 18V. Pavlović
  3. 28D. Živković
  1. 8M. Matanović
  2. 6S. Krstović
  1. 16O. Đinović
  2. 55M. Simić
  3. 34J. Nikolić
  4. 3D. Grivić
  1. 1V. Giljen

Cosmos

4-3-3
  1. 21R. Zulli
  2. 22L. Nisi
  3. 7L. Pastorelli
  1. 24M. Palazzi
  2. 10S. Errico
  3. 11S. Loiodice
  1. 43K. Iodice
  2. 6M. Maggioli
  3. 5R. Di Maio
  4. 2A. D'Addario
  1. 1A. Simoncini
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sutjeska have 7 wins, 6 draws and 2 defeats; Cosmos have 13, 2 and 0.

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

Sutjeska
DateOpponentScoreCompetition
Jul 1, 2023Radnicki 1923(away)1-1Friendlies Clubs
Jun 21, 2023Arsenal Tivat(home)0-2Friendlies Clubs
May 29, 2023Arsenal Tivat(away)1-1Cup
May 25, 2023Arsenal Tivat(away)1-0First League
May 21, 2023Petrovac(home)2-1First League
Cosmos
DateOpponentScoreCompetition
May 20, 2023La Fiorita(home)2-1Campionato
May 14, 2023Libertas(away)1-0Campionato
May 6, 2023Libertas(home)2-0Campionato
May 3, 2023Faetano(away)3-0Campionato
Apr 30, 2023Faetano(home)4-1Campionato

How many goals should we expect?

Sutjeska score 1.8 and concede 1.1 goals per match over their last 15; Cosmos score 2.6 and concede 0.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sutjeska1.81.1410/158/15
Cosmos2.60.4105/158/15

Over the last 15 matches in all competitions.

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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