Match

Studentski Grad vs Prva Iskra: result 0-3 and analysis

Srpska Liga - BelgradeBelgrade - 6Kick-off on September 16, 2022 at 01:30 PM (UTC)Stadion FK Bežanija, Beograd

Studentski Grad
0-3
Prva Iskra

Full time

What was the result of Studentski Grad vs Prva Iskra?

Prva Iskra won 0-3 on September 16, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Studentski Grad have 5 wins, 4 draws and 6 defeats; Prva Iskra have 7, 1 and 7.

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

Studentski Grad
DateOpponentScoreCompetition
Sep 9, 2022Stepojevac Vaga(away)1-1Srpska Liga - Belgrade
Sep 2, 2022Teleoptik(home)1-0Srpska Liga - Belgrade
Aug 28, 2022Zvezdara(away)0-1Srpska Liga - Belgrade
Aug 20, 2022Borac Lazarevac(home)4-1Srpska Liga - Belgrade
Aug 13, 2022Sindjelic Beograd(away)1-2Srpska Liga - Belgrade
Prva Iskra
DateOpponentScoreCompetition
Sep 10, 2022Jedinstvo Su(home)1-0Srpska Liga - Belgrade
Sep 3, 2022Zemun(away)0-1Srpska Liga - Belgrade
Aug 27, 2022Radnički Obrenovac(home)2-0Srpska Liga - Belgrade
Aug 21, 2022Torlak(away)3-0Srpska Liga - Belgrade
Aug 13, 2022Brodarac(home)0-2Srpska Liga - Belgrade

What does the head-to-head say?

Across the last 2 meetings: 1 Studentski Grad win(s), 0 draw(s), 1 Prva Iskra win(s).

DateScoreCompetition
May 16, 2022Studentski Grad 3-1 Prva IskraSrpska Liga - Belgrade
Oct 30, 2021Prva Iskra 2-0 Studentski GradSrpska Liga - Belgrade

Last archived meeting: Studentski Grad vs Prva Iskra on May 16, 2022

How many goals should we expect?

Studentski Grad score 1.3 and concede 1.3 goals per match over their last 15; Prva Iskra score 1.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Studentski Grad1.31.339/158/15
Prva Iskra1.71.447/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
9Prva Iskra269611383933

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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