Match

Vlasina vs Sinđelić: result 0-0 and analysis

Srpska Liga - EastEast - 34Kick-off on May 16, 2021 at 03:00 PM (UTC)Stadion Rosulja, Vlasotince

Vlasina
0-0
Sinđelić

Full time

What was the result of Vlasina vs Sinđelić?

Vlasina and Sinđelić drew 0-0 on May 16, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Vlasina have 5 wins, 3 draws and 7 defeats; Sinđelić have 6, 4 and 5.

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

Vlasina
DateOpponentScoreCompetition
May 9, 2021Radan(away)1-0Srpska Liga - East
May 1, 2021Radnički Svilajnac(home)0-0Srpska Liga - East
Apr 28, 2021Timočanin(away)0-4Srpska Liga - East
Apr 25, 2021SFS Borac(home)1-3Srpska Liga - East
Apr 18, 2021Mladost Medoševac(away)3-1Srpska Liga - East
Sinđelić
DateOpponentScoreCompetition
May 8, 2021Radnički Svilajnac(home)0-3Srpska Liga - East
May 1, 2021SFS Borac(away)0-3Srpska Liga - East
Apr 28, 2021Budućnost Popovac(home)0-0Srpska Liga - East
Apr 24, 2021Toplicanin Prokuplje(away)2-0Srpska Liga - East
Apr 17, 2021Morava Vladičin Han(home)2-1Srpska Liga - East

What does the head-to-head say?

Across the last 2 meetings: 0 Vlasina win(s), 0 draw(s), 2 Sinđelić win(s).

DateScoreCompetition
Oct 31, 2020Sinđelić 3-0 VlasinaSrpska Liga - East
Oct 26, 2019Sinđelić 2-1 VlasinaSrpska Liga - East

Last archived meeting: Sinđelić vs Vlasina on Oct 31, 2020

How many goals should we expect?

Vlasina score 1.4 and concede 1.2 goals per match over their last 15; Sinđelić score 1.8 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vlasina1.41.255/156/15
Sinđelić1.81.165/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Vlasina sit 10th in Srpska Liga - East (40 points from 29 matches) and Sinđelić sit 7th (44 points from 29 matches).

2025-26 standings
#ClubPWDLGFGAPts
7Sinđelić291289623644
10Vlasina2911711624840

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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