Match

Vlasina vs Timok Zaječar: result 3-0 and analysis

Srpska Liga - EastEast - 30Kick-off on June 11, 2023 at 03:30 PM (UTC)Stadion Rosulja, Vlasotince

Vlasina
3-0
Timok Zaječar

Full time

What was the result of Vlasina vs Timok Zaječar?

Vlasina won 3-0 on June 11, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Vlasina have 3 wins, 4 draws and 8 defeats; Timok Zaječar have 5, 1 and 9.

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

Vlasina
DateOpponentScoreCompetition
Jun 4, 2023Dubočica(away)0-1Srpska Liga - East
May 28, 2023SFS Borac(home)2-1Srpska Liga - East
May 21, 2023Brzi Brod(away)0-1Srpska Liga - East
May 14, 2023Meševo(home)2-0Srpska Liga - East
May 7, 2023Timočanin(away)1-1Srpska Liga - East
Timok Zaječar
DateOpponentScoreCompetition
Jun 4, 2023Radnički Svilajnac(home)1-0Srpska Liga - East
May 27, 2023Jagodina(away)0-1Srpska Liga - East
May 20, 2023Toplicanin Prokuplje(home)0-3Srpska Liga - East
May 14, 2023Budućnost Popovac(away)1-6Srpska Liga - East
May 6, 2023Radnicki Pirot(home)0-2Srpska Liga - East

What does the head-to-head say?

Across the last 3 meetings: 1 Vlasina win(s), 0 draw(s), 2 Timok Zaječar win(s).

DateScoreCompetition
Nov 19, 2022Timok Zaječar 2-1 VlasinaSrpska Liga - East
Jun 6, 2021Vlasina 1-0 Timok ZaječarSrpska Liga - East
Nov 28, 2020Timok Zaječar 2-0 VlasinaSrpska Liga - East

Last archived meeting: Timok Zaječar vs Vlasina on Nov 19, 2022

How many goals should we expect?

Vlasina score 1.1 and concede 1.8 goals per match over their last 15; Timok Zaječar score 0.9 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vlasina1.11.819/158/15
Timok Zaječar0.91.726/156/15

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 Timok Zaječar sit 11th (39 points from 29 matches).

2025-26 standings
#ClubPWDLGFGAPts
10Vlasina2911711624840
11Timok Zaječar2910910553539

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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