Match

Dečić vs Sileks: result 2-0 and analysis

UEFA Europa Conference League1st Qualifying RoundKick-off on July 10, 2025 at 06:00 PM (UTC)Stadion Tuško Polje, Tuzi

Dečić
2-0
Sileks

Full time

What was the result of Dečić vs Sileks?

Dečić won 2-0 on July 10, 2025.

Goalscorers

  • 39′A. BajovićDečić
  • 71′M. NdiayeDečić

Official lineup for Dečić vs Sileks

The starting elevens fielded at kick-off.

Dečić

4-2-3-1
  1. 27S. Golubović
  1. 77V. Striković
  2. 20P. Sekulović
  3. 32B. Radusinović
  1. 14A. Bajović
  2. 16M. Božanović
  1. 23R. Đelaj
  2. 5Ž. Tomašević
  3. 17L. Ujkaj
  4. 22J. Drešaj
  1. 1I. Nikić

Sileks

4-3-3
  1. 17D. Dodev
  2. 9A. Alić
  3. 14A. Hrvanović
  1. 6D. Angjeleski
  2. 10M. Mircevski
  3. 24Miguel Ângelo Ferreira Pires
  1. 23K. Eftimov
  2. 5G. Dzhekov
  3. 26M. Nikolič
  4. 7A. Timovski
  1. 25L. Dzhekov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Dečić have 5 wins, 8 draws and 2 defeats; Sileks have 8, 5 and 2.

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

Dečić
DateOpponentScoreCompetition
May 29, 2025Mornar(away)1-0Cup
May 24, 2025Buducnost Podgorica(away)0-0First League
May 18, 2025Petrovac(home)1-1First League
May 14, 2025Jedinstvo(home)2-2First League
May 10, 2025Jezero(away)1-1First League
Sileks
DateOpponentScoreCompetition
May 17, 2025Shkendija(away)3-1First League
May 11, 2025Pelister(home)0-0First League
May 7, 2025KF Gostivari(home)3-0First League
May 4, 2025FK Rabotnicki(away)0-0First League
Apr 27, 2025Struga(home)0-0First League

How many goals should we expect?

Dečić score 1.0 and concede 0.7 goals per match over their last 15; Sileks score 1.9 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dečić1.00.776/153/15
Sileks1.90.777/158/15

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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