Match

Timok Zaječar vs RAD: result 1-1 and analysis

Prva LigaRegular Season - 9Kick-off on September 26, 2021 at 01:00 PM (UTC)Stadion pod Kraljevicom, Zaječar

Timok Zaječar
1-1
RAD

Full time

What was the result of Timok Zaječar vs RAD?

Timok Zaječar and RAD drew 1-1 on September 26, 2021.

Goalscorers

  • 41′Ivan DragićevićTimok Zaječar
  • 45′B. MandićRAD

Official lineup for Timok Zaječar vs RAD

The starting elevens fielded at kick-off.

Timok Zaječar

  1. IIvan Dragićević
  2. MMarko Golubović
  3. NNenad Kačar
  4. MM. Rošević
  1. MMarko Cvetkovic
  2. MMiloš Cvetković
  3. MMilan Blagojević
  4. MM. Milenković
  1. AA. Mitrović
  2. II. Božović
  1. AAleksandar Jovanović

RAD

  1. IIgor Vučićević
  2. BB. Mandić
  3. AA. Mrđa
  1. DD. Stević
  2. LL. Gojković
  1. MM. Radivojević
  2. SStanislav Zeljajić
  3. MM. Gašić
  4. VV. Đurđević
  1. NN. Đurković
  2. SS. Milosavljević
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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, 4 draws and 7 defeats; RAD have 5, 6 and 4.

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

Timok Zaječar
DateOpponentScoreCompetition
Sep 22, 2021Loznica(away)0-2Prva Liga
Sep 17, 2021Kabel Novi Sad(home)2-0Prva Liga
Sep 13, 2021Železničar Pančevo(away)2-3Prva Liga
Sep 3, 2021Buducnost Dobanovci(home)5-0Prva Liga
Aug 28, 2021Mladost Novi Sad(away)1-2Prva Liga
RAD
DateOpponentScoreCompetition
Sep 22, 2021FK Zlatibor(home)2-1Prva Liga
Sep 18, 2021Backa(away)1-0Prva Liga
Sep 12, 2021Grafičar(home)2-1Prva Liga
Sep 3, 2021Macva(away)0-4Prva Liga
Aug 28, 2021Zarkovo(home)1-1Prva Liga

How many goals should we expect?

Timok Zaječar score 1.1 and concede 1.3 goals per match over their last 15; RAD score 1.5 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Timok Zaječar1.11.366/155/15
RAD1.51.438/159/15

Over the last 15 matches in all competitions.

A question about Timok Zaječar vs RAD?

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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