Match

Timok Zaječar vs Macva: result 0-1 and analysis

Prva LigaRegular Season - 13Kick-off on October 16, 2021 at 01:00 PM (UTC)Stadion pod Kraljevicom, Zaječar

Timok Zaječar
0-1
Macva

Full time

What was the result of Timok Zaječar vs Macva?

Macva won 0-1 on October 16, 2021.

Goalscorers

  • 78′L. MarjanovićMacva

Official lineup for Timok Zaječar vs Macva

The starting elevens fielded at kick-off.

Timok Zaječar

  1. IIvica Jovanović
  2. IIvan Dragićević
  3. DD. Anđelović
  4. MM. Rošević
  5. UUroš Nikolić
  1. II. Pantić
  2. MM. Stajković
  1. SStefan Rudić
  2. SStefan Knežević
  3. II. Božović
  1. AAleksandar Jovanović

Macva

  1. PP. Gigić
  2. VV. Mijailović
  1. MM. Adamović
  2. ĐĐ. Belić
  3. LL. Marjanović
  1. MM. Pešić
  2. KK. Tojčić
  3. AA. Popović
  4. MM. Jevtić
  5. NN. Stevanović
  1. SS. Manojlović
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Timok Zaječar have 4 wins, 2 draws and 9 defeats; Macva have 8, 4 and 3.

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

Timok Zaječar
DateOpponentScoreCompetition
Oct 10, 2021Zarkovo(away)1-2Prva Liga
Oct 6, 2021Indjija(home)0-1Prva Liga
Oct 1, 2021Javor(away)0-2Prva Liga
Sep 26, 2021RAD(home)1-1Prva Liga
Sep 22, 2021Loznica(away)0-2Prva Liga
Macva
DateOpponentScoreCompetition
Oct 6, 2021Backa(away)0-0Prva Liga
Oct 2, 2021Grafičar(home)2-1Prva Liga
Sep 26, 2021Radnički Sr. Mitrovica(home)0-3Prva Liga
Sep 22, 2021Zarkovo(away)3-1Prva Liga
Sep 18, 2021Indjija(home)2-1Prva Liga

How many goals should we expect?

Timok Zaječar score 1.2 and concede 1.5 goals per match over their last 15; Macva score 1.3 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Timok Zaječar1.21.547/156/15
Macva1.30.967/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
2Macva351997472966

A question about Timok Zaječar vs Macva?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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