Match

Studentski Grad vs Buducnost Dobanovci: result 0-2 and analysis

Srpska Liga - BelgradeBelgrade - 27Kick-off on May 12, 2023 at 02:00 PM (UTC)Stadion FK Bežanija, Beograd

Studentski Grad
0-2
Buducnost Dobanovci

Full time

What was the result of Studentski Grad vs Buducnost Dobanovci?

Buducnost Dobanovci won 0-2 on May 12, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Studentski Grad have 5 wins, 1 draws and 9 defeats; Buducnost Dobanovci have 7, 4 and 4.

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

Studentski Grad
DateOpponentScoreCompetition
May 5, 2023Jedinstvo Su(home)0-1Srpska Liga - Belgrade
Apr 29, 2023Zemun(away)0-2Srpska Liga - Belgrade
Apr 26, 2023Radnički Obrenovac(home)2-3Srpska Liga - Belgrade
Apr 22, 2023Torlak(away)1-1Srpska Liga - Belgrade
Apr 14, 2023Brodarac(home)1-2Srpska Liga - Belgrade
Buducnost Dobanovci
DateOpponentScoreCompetition
May 6, 2023Teleoptik(home)1-0Srpska Liga - Belgrade
Apr 30, 2023Jedinstvo Su(away)0-0Srpska Liga - Belgrade
Apr 26, 2023Zvezdara(home)0-0Srpska Liga - Belgrade
Apr 22, 2023Zemun(away)0-2Srpska Liga - Belgrade
Apr 15, 2023Borac Lazarevac(home)2-1Srpska Liga - Belgrade

What does the head-to-head say?

Across the last 1 meetings: 0 Studentski Grad win(s), 0 draw(s), 1 Buducnost Dobanovci win(s).

DateScoreCompetition
Oct 29, 2022Buducnost Dobanovci 5-1 Studentski GradSrpska Liga - Belgrade

Last archived meeting: Buducnost Dobanovci vs Studentski Grad on Oct 29, 2022

How many goals should we expect?

Studentski Grad score 1.1 and concede 1.8 goals per match over their last 15; Buducnost Dobanovci score 1.2 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Studentski Grad1.11.837/158/15
Buducnost Dobanovci1.21.057/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
7Buducnost Dobanovci26998353236

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

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