Match

HNK Cibalia vs Inter Zapresic: result 3-3 and analysis

HNLRegular Season - 3Kick-off on July 30, 2016 at 05:00 PM (UTC)Stadion Cibalia, Vinkovci

HNK Cibalia
3-3
Inter Zapresic

Full time

What was the result of HNK Cibalia vs Inter Zapresic?

HNK Cibalia and Inter Zapresic drew 3-3 on July 30, 2016.

Goalscorers

  • 7′J. FilipovićInter Zapresic
  • 13′S. UgrinaHNK Cibalia
  • 34′E. BašaHNK Cibalia
  • 41′M. BrlečićInter Zapresic
  • 55′J. PuljićInter Zapresic
  • 85′F. VitaićHNK Cibalia

Official lineup for HNK Cibalia vs Inter Zapresic

The starting elevens fielded at kick-off.

HNK Cibalia

  1. 11S. Ugrina
  2. 13E. Baša
  3. 21Vlatko Šimunac
  1. 22F. Vitaić
  2. 28M. Mišić
  1. 3P. Šare
  2. 4Ivan Zgrablić
  3. 5Jure Jerbić
  4. 17Luka Mijoković
  5. 18Filip Žderić
  1. 89Mladen Matković

Inter Zapresic

  1. 11I. Mamut
  2. 21J. Puljić
  1. 8A. Ottochian
  2. 23M. Brlečić
  3. 28T. Mazalović
  1. 4S. Begić
  2. 7J. Šoljić
  3. 13Ivan Čeliković
  4. 15M. Komorski
  5. 22J. Filipović
  1. 1I. Čović
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What is the recent form of both teams?

Over their last 2 matches in all competitions, HNK Cibalia have 0 wins, 0 draws and 2 defeats; Inter Zapresic have 0, 0 and 2.

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

HNK Cibalia
DateOpponentScoreCompetition
Jul 23, 2016NK Slaven Belupo(away)2-3HNL
Jul 17, 2016HNK Hajduk Split(home)0-2HNL
Inter Zapresic
DateOpponentScoreCompetition
Jul 23, 2016NK Osijek(home)0-2HNL
Jul 15, 2016NK Slaven Belupo(away)0-2HNL

How many goals should we expect?

HNK Cibalia score 1.0 and concede 2.5 goals per match over their last 2; Inter Zapresic score 0.0 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
HNK Cibalia1.02.501/21/2
Inter Zapresic0.02.000/20/2

Over the last 2 matches in all competitions.

A question about HNK Cibalia vs Inter Zapresic?

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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