Match

Kolubara vs Bezanija: result 1-1 and analysis

Prva LigaRegular Season - 4Kick-off on September 3, 2016 at 03:00 PM (UTC)SRC Kolubara, Lazarevac

Kolubara
1-1
Bezanija

Full time

What was the result of Kolubara vs Bezanija?

Kolubara and Bezanija drew 1-1 on September 3, 2016.

Goalscorers

  • 75′M. PetrićKolubara
  • 80′I. ZonjićBezanija

Official lineup for Kolubara vs Bezanija

The starting elevens fielded at kick-off.

Kolubara

  1. VV. Peralović
  2. AA. Dimitrić
  3. MMarko Rajković
  1. PPredrag Lazić
  2. BB. Stanić
  3. NNikola Ilić
  1. MM. Petrić
  2. MMilan Jagodić
  3. BB. Mijailović
  4. BBogdan Milojević
  1. JJovan Vićić

Bezanija

  1. MM. Škorić
  2. MMarko Vučetić
  3. SS. Milojević
  4. FF. Osman
  5. LLuka Savićević
  1. II. Zonjić
  2. MM. Mitrušić
  3. SS. Jovanović
  4. MM. Mijailović
  5. DDraško Đorđević
  1. MM. Lazarević
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What is the recent form of both teams?

Over their last 3 matches in all competitions, Kolubara have 0 wins, 2 draws and 1 defeat; Bezanija have 1, 1 and 1.

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

Kolubara
DateOpponentScoreCompetition
Aug 28, 2016Dinamo Vranje(away)0-0Prva Liga
Aug 20, 2016Jagodina(home)1-1Prva Liga
Aug 13, 2016Buducnost Dobanovci(home)0-1Prva Liga
Bezanija
DateOpponentScoreCompetition
Aug 26, 2016Radnicki Pirot(home)1-0Prva Liga
Aug 20, 2016Proleter Novi SAD(away)1-2Prva Liga
Aug 12, 2016Zemun(home)0-0Prva Liga

How many goals should we expect?

Kolubara score 0.3 and concede 0.7 goals per match over their last 3; Bezanija score 0.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kolubara0.30.711/30/3
Bezanija0.70.721/31/3

Over the last 3 matches in all competitions.

A question about Kolubara vs Bezanija?

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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