Match

Zarkovo vs Jagodina: result 0-0 and analysis

Prva LigaRegular Season - 1Kick-off on August 14, 2020 at 03:00 PM (UTC)Stadion Žarkovo, Beograd

Zarkovo
0-0
Jagodina

Full time

What was the result of Zarkovo vs Jagodina?

Zarkovo and Jagodina drew 0-0 on August 14, 2020.

Official lineup for Zarkovo vs Jagodina

The starting elevens fielded at kick-off.

Zarkovo

  1. NN. Dišić
  2. NNikola Nović
  1. SS. Golubović
  2. DDejan Babić
  3. NNenad Kiso
  4. NNenad Jovanović
  5. DD. Kiković
  6. AAleksandar Stevanović
  1. NN. Tasić
  2. MM. Ilić
  1. NNemanja Šćekić

Jagodina

  1. LLuka Petrović
  2. AAndreja Stamenković
  3. II. Stojanović
  1. DD. Stamenković
  2. VV. Ilić
  3. PP. Medić
  1. SStevan Radulović
  2. SS. Jovančić
  3. BBranimir Spasojević
  4. SS. Stojković
  1. MMiloš Vesić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Zarkovo have 6 wins, 4 draws and 5 defeats; Jagodina have 9, 3 and 3.

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

Zarkovo
DateOpponentScoreCompetition
Jun 20, 2020Kolubara(home)2-1Prva Liga
Jun 14, 2020FK Trayal(away)0-0Prva Liga
Jun 7, 2020Semendrija 1924(away)3-3Prva Liga
May 30, 2020FK Zlatibor(home)0-3Prva Liga
Mar 14, 2020Sindjelic Beograd(away)1-0Prva Liga
Jagodina
DateOpponentScoreCompetition
Jul 15, 2020Radnik Surdulica(away)0-1Friendlies Clubs
Mar 14, 2020Trstenik PPT(home)1-0Srpska Liga - East
Mar 8, 2020Rembas(away)2-0Srpska Liga - East
Nov 24, 2019Budućnost Popovac(away)1-1Srpska Liga - East
Nov 16, 2019Dubočica(home)2-1Srpska Liga - East

How many goals should we expect?

Zarkovo score 1.3 and concede 1.5 goals per match over their last 15; Jagodina score 1.6 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Zarkovo1.31.547/159/15
Jagodina1.60.768/157/15

Over the last 15 matches in all competitions.

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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