Match

Dekani vs Beltinci: result 4-1 and analysis

2. SNLRegular Season - 28Kick-off on May 7, 2022 at 03:00 PM (UTC)Igrišče Ivan Gregorič, Dekani

Dekani
4-1
Beltinci

Full time

What was the result of Dekani vs Beltinci?

Dekani won 4-1 on May 7, 2022.

Goalscorers

  • 9′M. BahDekani
  • 23′S. DžumhurBeltinci
  • 61′K. MeštrićDekani
  • 71′Gal ZorkoDekani
  • 83′Patrik BordonDekani

What is the recent form of both teams?

Over their last 15 matches in all competitions, Dekani have 3 wins, 8 draws and 4 defeats; Beltinci have 5, 2 and 8.

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

Dekani
DateOpponentScoreCompetition
May 4, 2022Rogaška(away)0-32. SNL
Apr 29, 2022Ilirija(home)1-12. SNL
Apr 24, 2022Krka(home)0-02. SNL
Apr 18, 2022Gorica(away)0-12. SNL
Apr 2, 2022Fužinar(away)1-12. SNL
Beltinci
DateOpponentScoreCompetition
May 4, 2022Krško(home)0-12. SNL
Apr 24, 2022Rogaška(home)2-12. SNL
Apr 16, 2022Krka(away)2-32. SNL
Apr 13, 2022Ilirija(away)2-22. SNL
Apr 9, 2022Gorica(home)0-42. SNL

What does the head-to-head say?

Across the last 6 meetings: 4 Dekani win(s), 2 draw(s), 0 Beltinci win(s).

DateScoreCompetition
Oct 24, 2021Beltinci 2-2 Dekani2. SNL
May 5, 2021Beltinci 2-2 Dekani2. SNL
Mar 21, 2021Dekani 1-0 Beltinci2. SNL
Oct 13, 2019Beltinci 1-2 Dekani2. SNL
Apr 13, 2019Dekani 3-2 Beltinci2. SNL
Sep 23, 2018Beltinci 1-2 Dekani2. SNL

Last archived meeting: Beltinci vs Dekani on Oct 24, 2021

How many goals should we expect?

Dekani score 0.9 and concede 0.9 goals per match over their last 15; Beltinci score 1.2 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dekani0.90.957/154/15
Beltinci1.21.626/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Dekani sit 10th in 2. SNL (3 points from 3 matches) and Beltinci sit 2nd (6 points from 3 matches).

2026-27 standings
#ClubPWDLGFGAPts
2Beltinci3201736
10Dekani3102333

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

Other matches in the same round

Next match: Dekani and Beltinci

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