Match

Shkendija vs Mura: result 0-1 and analysis

UEFA Champions League1st Qualifying RoundKick-off on July 6, 2021 at 06:00 PM (UTC)Toše Proeski Arena, Skopje

Shkendija
0-1
Mura

Full time

What was the result of Shkendija vs Mura?

Mura won 0-1 on July 6, 2021.

Goalscorers

  • 28′L. BobičanecMura (pen.)

Official lineup for Shkendija vs Mura

The starting elevens fielded at kick-off.

Shkendija

4-2-3-1
  1. 14L. Doriev
  1. 10V. Nafiu
  2. 7B. Ibraimi
  3. 17A. Zejnullai
  1. 95K. Qaka
  2. 5A. Alimi
  1. 20J. Krivák
  2. 4E. Bejtulai
  3. 3A. Pavić
  4. 16M. Murati
  1. 1K. Zahov

Mura

3-5-2
  1. 2K. Cipot
  2. 47M. Klepač
  1. 20T. Horvat
  2. 8L. Bobičanec
  3. 10N. Kouter
  4. 9M. Maruško
  5. 21Ž. Karničnik
  1. 30J. Gorenc
  2. 23K. Šturm
  3. 11Ž. Kous
  1. 69M. Obradovič
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Shkendija have 11 wins, 3 draws and 1 defeat; Mura have 6, 6 and 3.

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

Shkendija
DateOpponentScoreCompetition
Jun 29, 2021CSKA 1948(away)3-2Friendlies Clubs
Jun 25, 2021Laci(home)2-1Friendlies Clubs
May 16, 2021Shkupi 1927(home)1-1First League
May 9, 2021Makedonija GjP(away)4-3First League
May 1, 2021Struga(home)0-2First League
Mura
DateOpponentScoreCompetition
Jul 1, 2021FC Rostov(home)0-4Friendlies Clubs
Jun 30, 2021Vojvodina(home)1-1Friendlies Clubs
Jun 26, 2021FK Partizan(home)2-2Friendlies Clubs
Jun 19, 2021Dinamo Zagreb(home)0-4Friendlies Clubs
Jun 16, 2021St. Anna(away)3-1Friendlies Clubs

How many goals should we expect?

Shkendija score 2.3 and concede 1.0 goals per match over their last 15; Mura score 1.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Shkendija2.31.068/159/15
Mura1.71.358/1511/15

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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