Match

Dinamo Vranje vs RAD: result 0-1 and analysis

Super LigaRegular Season - 8Kick-off on September 15, 2018 at 05:00 PM (UTC)Stadion YUMCO, Vranje

Dinamo Vranje
0-1
RAD

Full time

What was the result of Dinamo Vranje vs RAD?

RAD won 0-1 on September 15, 2018.

Goalscorers

  • 90′N. ŠipčićRAD

Official lineup for Dinamo Vranje vs RAD

The starting elevens fielded at kick-off.

Dinamo Vranje

  1. 19L. Ratković
  2. 22Marko Radivojević
  1. 3Okomayin Onimisi Segun
  2. 20A. Stojković
  3. 27Mlađan Stevanović
  1. 5N. Stevanović
  2. 7N. Vukajlović
  3. 12Lazar Đokić
  4. 30Filip Pavišić
  5. 45Dušan Lalatović
  1. 1U. Đurić

RAD

  1. 9F. Kasalica
  2. 47Stefan Mihajlović
  3. 77Nenad Marinković
  1. 11B. Mladenović
  2. 17A. Lutovac
  3. 44F. Bainovič
  1. 23N. Šipčić
  2. 24S. Vico
  3. 28Nikola Ignjatijević
  4. 51Milan Perendija
  1. 26Dušan Marković
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Dinamo Vranje have 6 wins, 1 draw and 8 defeats; RAD have 6, 4 and 5.

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

Dinamo Vranje
DateOpponentScoreCompetition
Sep 2, 2018FK Spartak Zdrepceva KRV(away)0-2Super Liga
Aug 26, 2018Zemun(home)1-0Super Liga
Aug 18, 2018FK Vozdovac(away)0-2Super Liga
Aug 11, 2018Mladost Lucani(home)1-3Super Liga
Aug 5, 2018Radnicki NIS(away)0-2Super Liga
RAD
DateOpponentScoreCompetition
Sep 1, 2018Zemun(away)0-1Super Liga
Aug 25, 2018Mladost Lucani(home)1-1Super Liga
Aug 11, 2018Radnik Surdulica(home)3-1Super Liga
Aug 5, 2018Vojvodina(away)2-1Super Liga
Jul 28, 2018Cukaricki(home)0-3Super Liga

How many goals should we expect?

Dinamo Vranje score 1.1 and concede 1.3 goals per match over their last 15; RAD score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dinamo Vranje1.11.345/157/15
RAD1.21.129/157/15

Over the last 15 matches in all competitions.

A question about Dinamo Vranje 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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