Match

Timok Zaječar vs Vlasina: result 2-1 and analysis

Srpska Liga - EastEast - 15Kick-off on November 19, 2022 at 12:00 PM (UTC)Stadion pod Kraljevicom, Zaječar

Timok Zaječar
2-1
Vlasina

Full time

What was the result of Timok Zaječar vs Vlasina?

Timok Zaječar won 2-1 on November 19, 2022.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Timok Zaječar have 1 wins, 5 draws and 9 defeats; Vlasina have 6, 3 and 6.

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

Timok Zaječar
DateOpponentScoreCompetition
Nov 12, 2022Radnički Svilajnac(away)1-5Srpska Liga - East
Nov 5, 2022Jagodina(home)0-0Srpska Liga - East
Oct 29, 2022Toplicanin Prokuplje(away)0-2Srpska Liga - East
Oct 22, 2022Budućnost Popovac(home)2-2Srpska Liga - East
Oct 15, 2022Radnicki Pirot(away)0-1Srpska Liga - East
Vlasina
DateOpponentScoreCompetition
Nov 13, 2022Dubočica(home)1-3Srpska Liga - East
Nov 6, 2022SFS Borac(away)0-3Srpska Liga - East
Oct 30, 2022Brzi Brod(home)2-1Srpska Liga - East
Oct 22, 2022Meševo(away)1-0Srpska Liga - East
Oct 16, 2022Timočanin(home)2-0Srpska Liga - East

What does the head-to-head say?

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

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

Last archived meeting: Vlasina vs Timok Zaječar on Jun 6, 2021

How many goals should we expect?

Timok Zaječar score 0.7 and concede 2.1 goals per match over their last 15; Vlasina score 1.0 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Timok Zaječar0.72.128/158/15
Vlasina1.01.447/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Timok Zaječar sit 11th in Srpska Liga - East (39 points from 29 matches) and Vlasina sit 10th (40 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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