Match

Bogojina vs Mura: result 0-4 and analysis

Cup2nd RoundKick-off on September 18, 2024 at 02:30 PM (UTC)ŠRC Bogojina, Bogojina

Bogojina
0-4
Mura

Full time

What was the result of Bogojina vs Mura?

Mura won 0-4 on September 18, 2024.

Goalscorers

  • 24′A. MarošaMura
  • 34′S. SpiridonovićMura
  • 61′A. MarošaMura
  • 76′E. JulardžijaMura

Official lineup for Bogojina vs Mura

The starting elevens fielded at kick-off.

Bogojina

  1. MM. Ivanic
  2. MM. Drevenšek
  3. DD. Černela
  4. DD. Györek
  5. DD. Kočar
  6. TT. Genc
  7. PP. Černela
  8. RR. Cener
  9. MM. Rogač
  10. JJ. Kocet
  11. LL. Ivanič

Mura

  1. AA. Maroša
  1. SS. Spiridonović
  2. AA. Kurtovič
  3. HH. Olson
  4. AA. Jelovica
  5. DDiogo Bezerra
  1. KK. Pučko
  2. VV. Zogos
  3. MM. Strajnar
  4. AA. Zulić
  1. FF. Kolić
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Bogojina have 2 wins, 0 draws and 2 defeats; Mura have 7, 3 and 5.

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

Bogojina
DateOpponentScoreCompetition
Aug 28, 2024Tromejnik(home)3-1Cup
Aug 11, 2024Rakičan(home)3-0Cup
Sep 20, 2023Radenska Slatina(home)2-3Cup
Aug 24, 2022Radenska Slatina(home)1-2Cup
Mura
DateOpponentScoreCompetition
Sep 14, 2024Primorje(home)4-01. SNL
Sep 1, 2024Olimpija Ljubljana(away)0-41. SNL
Aug 28, 2024Veržej(away)9-0Cup
Aug 24, 2024Radomlje(home)1-01. SNL
Aug 17, 2024Bravo(home)2-31. SNL

How many goals should we expect?

Bogojina score 2.3 and concede 1.5 goals per match over their last 4; Mura score 1.7 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bogojina2.31.513/44/4
Mura1.71.276/159/15

Over the last 4 matches in all competitions.

A question about Bogojina vs Mura?

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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