Match

Rembas vs Vlasina: result 3-0 and analysis

Srpska Liga - EastEast - 17Kick-off on March 23, 2022 at 01:00 PM (UTC)Stadion Rembas, Resavica

Rembas
3-0
Vlasina

Full time

What was the result of Rembas vs Vlasina?

Rembas won 3-0 on March 23, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Rembas have 4 wins, 4 draws and 7 defeats; Vlasina have 6, 2 and 7.

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

Rembas
DateOpponentScoreCompetition
Mar 19, 2022Sloga Leskovac(away)0-1Srpska Liga - East
Mar 6, 2022Brzi Brod(away)0-2Srpska Liga - East
Nov 20, 2021Jedinstvo Paraćin(away)0-0Srpska Liga - East
Nov 14, 2021Timočanin(home)2-2Srpska Liga - East
Nov 7, 2021Meševo(home)5-0Srpska Liga - East
Vlasina
DateOpponentScoreCompetition
Mar 19, 2022Timočanin(home)1-0Srpska Liga - East
Mar 6, 2022Jagodina(home)1-2Srpska Liga - East
Nov 21, 2021Dinamo Vranje(home)6-2Srpska Liga - East
Nov 13, 2021Dubočica(away)1-6Srpska Liga - East
Nov 7, 2021Budućnost Popovac(home)1-3Srpska Liga - East

What does the head-to-head say?

Across the last 4 meetings: 1 Rembas win(s), 2 draw(s), 1 Vlasina win(s).

DateScoreCompetition
Aug 22, 2021Vlasina 3-0 RembasSrpska Liga - East
May 19, 2021Rembas 2-0 VlasinaSrpska Liga - East
Nov 8, 2020Vlasina 1-1 RembasSrpska Liga - East
Oct 13, 2019Rembas 1-1 VlasinaSrpska Liga - East

Last archived meeting: Vlasina vs Rembas on Aug 22, 2021

How many goals should we expect?

Rembas score 1.3 and concede 1.3 goals per match over their last 15; Vlasina score 1.3 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Rembas1.31.346/156/15
Vlasina1.31.448/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Rembas sit 6th in Srpska Liga - East (44 points from 29 matches) and Vlasina sit 10th (40 points from 29 matches).

2025-26 standings
#ClubPWDLGFGAPts
6Rembas2913511484744
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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