Match

RAD vs Borac Cacak: result 2-0 and analysis

Super LigaRegular Season - 13Kick-off on October 22, 2016 at 03:00 PM (UTC)Stadion Kralj Petar Prvi, Beograd

RAD
2-0
Borac Cacak

Full time

What was the result of RAD vs Borac Cacak?

RAD won 2-0 on October 22, 2016.

Goalscorers

  • 75′B. MladenovićRAD
  • 79′B. MladenovićRAD

Official lineup for RAD vs Borac Cacak

The starting elevens fielded at kick-off.

RAD

  1. 10Đ. Denić
  2. 19Dejan Đenić
  3. 77B. Veselinović
  1. 5Miloš Obradović
  2. 14N. Petrović
  3. 17A. Lutovac
  1. 6Zoran Ljubinković
  2. 25N. Maraš
  3. 44P. Jovanović
  4. 55Stevan Bates
  1. 26N. Filipović

Borac Cacak

  1. 20Thiago Galvão da Silva
  2. 73Lazar Jovanović
  1. 16Miroljub Kostić
  2. 18Nemanja Stanković
  3. 21Uroš Delić
  4. 31Marko Zoćević
  5. 32V. Bogdanović
  1. 17M. Maslać
  2. 19S. Drašković
  3. 28A. Tanasin
  1. 1Branimir Aleksić
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What is the recent form of both teams?

Over their last 12 matches in all competitions, RAD have 4 wins, 3 draws and 5 defeats; Borac Cacak have 1, 5 and 6.

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

RAD
DateOpponentScoreCompetition
Oct 14, 2016Napredak(away)0-2Super Liga
Oct 2, 2016FK Spartak Zdrepceva KRV(away)1-0Super Liga
Sep 24, 2016Cukaricki(home)1-1Super Liga
Sep 17, 2016Javor(away)1-1Super Liga
Sep 9, 2016Vojvodina(home)0-0Super Liga
Borac Cacak
DateOpponentScoreCompetition
Oct 15, 2016FK Spartak Zdrepceva KRV(home)3-3Super Liga
Oct 2, 2016Cukaricki(away)1-1Super Liga
Sep 25, 2016Javor(home)1-1Super Liga
Sep 18, 2016Vojvodina(away)1-2Super Liga
Sep 11, 2016FK Partizan(home)0-2Super Liga

How many goals should we expect?

RAD score 0.8 and concede 1.3 goals per match over their last 12; Borac Cacak score 0.8 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
RAD0.81.344/124/12
Borac Cacak0.81.316/123/12

Over the last 12 matches in all competitions.

A question about RAD vs Borac Cacak?

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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