Match

Macva vs RAD: result 1-2 and analysis

Super LigaRegular Season - 6Kick-off on August 19, 2017 at 03:00 PM (UTC)Stadion FK Mačva, Šabac

Macva
1-2
RAD

Full time

What was the result of Macva vs RAD?

RAD won 1-2 on August 19, 2017.

Goalscorers

  • 4′N. LukićRAD
  • 15′Vladimir VolkovRAD
  • 45′B. MatićMacva (pen.)

Official lineup for Macva vs RAD

The starting elevens fielded at kick-off.

Macva

  1. 9B. Matić
  2. 33Miodrag Gemović
  1. 4L. Ivić
  2. 5Nenad Jovanović
  3. 8Ivan Obrovac
  4. 10N. Milinković
  5. 22Predrag Jeremić
  1. 2Filip Pejović
  2. 3R. Protić
  3. 19I. Ristivojević
  1. 1N. Filipović

RAD

  1. 10Đ. Denić
  2. 55N. Lukić
  1. 11B. Mladenović
  2. 17A. Lutovac
  3. 20N. Pišćević
  1. 3Vladimir Volkov
  2. 6Zoran Ljubinković
  3. 24S. Vico
  4. 25N. Maraš
  5. 34I. Zonjić
  1. 89B. Zogović
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Macva have 7 wins, 3 draws and 5 defeats; RAD have 5, 2 and 8.

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

Macva
DateOpponentScoreCompetition
Aug 14, 2017FK Spartak Zdrepceva KRV(away)2-3Super Liga
Aug 9, 2017Radnicki NIS(home)1-2Super Liga
Aug 5, 2017Javor(away)4-0Super Liga
Jul 29, 2017Zemun(home)1-0Super Liga
Jul 22, 2017FK Partizan(away)1-6Super Liga
RAD
DateOpponentScoreCompetition
Aug 13, 2017Radnicki NIS(away)0-2Super Liga
Aug 9, 2017Zemun(home)2-0Super Liga
Aug 5, 2017Mladost Lucani(away)1-2Super Liga
Jul 30, 2017FK Crvena Zvezda(home)0-2Super Liga
Jul 22, 2017Napredak(away)2-2Super Liga

How many goals should we expect?

Macva score 1.9 and concede 1.6 goals per match over their last 15; RAD score 0.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Macva1.91.659/1511/15
RAD0.71.454/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
12Macva112368199

A question about Macva 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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