Match

Timok Zaječar vs Radnicki Pirot: result 0-2 and analysis

Srpska Liga - EastEast - 25Kick-off on May 6, 2023 at 02:30 PM (UTC)Stadion pod Kraljevicom, Zaječar

Timok Zaječar
0-2
Radnicki Pirot

Full time

What was the result of Timok Zaječar vs Radnicki Pirot?

Radnicki Pirot won 0-2 on May 6, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Timok Zaječar have 4 wins, 3 draws and 8 defeats; Radnicki Pirot have 8, 3 and 4.

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

Timok Zaječar
DateOpponentScoreCompetition
Apr 29, 2023Dubočica(home)0-2Srpska Liga - East
Apr 23, 2023SFS Borac(away)1-1Srpska Liga - East
Apr 15, 2023Brzi Brod(home)0-2Srpska Liga - East
Apr 8, 2023Meševo(away)2-1Srpska Liga - East
Apr 1, 2023Timočanin(home)1-2Srpska Liga - East
Radnicki Pirot
DateOpponentScoreCompetition
Apr 30, 2023Dunav Prahovo(home)0-0Srpska Liga - East
Apr 22, 2023Dubočica(away)1-1Srpska Liga - East
Apr 15, 2023Jedinstvo Paraćin(home)4-0Srpska Liga - East
Apr 9, 2023SFS Borac(away)0-1Srpska Liga - East
Apr 2, 2023Vlasina(home)5-0Srpska Liga - East

What does the head-to-head say?

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

DateScoreCompetition
Oct 15, 2022Radnicki Pirot 1-0 Timok ZaječarSrpska Liga - East

Last archived meeting: Radnicki Pirot vs Timok Zaječar on Oct 15, 2022

How many goals should we expect?

Timok Zaječar score 0.9 and concede 1.5 goals per match over their last 15; Radnicki Pirot score 1.7 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Timok Zaječar0.91.527/156/15
Radnicki Pirot1.71.085/158/15

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 Radnicki Pirot sit 5th (45 points from 29 matches).

2025-26 standings
#ClubPWDLGFGAPts
5Radnicki Pirot2913610584745
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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