Match

Opatija vs Jarun: result 0-1 and analysis

First NLRegular Season - 11Kick-off on October 30, 2021 at 01:00 PM (UTC)Stadion NK Opatija, Opatija

Opatija
0-1
Jarun

Full time

What was the result of Opatija vs Jarun?

Jarun won 0-1 on October 30, 2021.

Goalscorers

  • 48′A. AčkarJarun

Official lineup for Opatija vs Jarun

The starting elevens fielded at kick-off.

Opatija

  1. 14A. Pejanović
  1. 7F. Ivančić
  2. 11Luka Kožić
  3. 13M. Klapan
  4. 15V. Malinić
  5. 21Marko Bjelanović
  1. 5M. Belančić
  2. 6M. Jukičić
  3. 18V. Heteši
  4. 24M. Bertoša
  1. 12C. Berković

Jarun

  1. 7F. Dujmović
  2. 11Diarrassouba Aboubacar Bamba
  3. 20Marko Brkić
  1. 8I. Jugović
  2. 22A. Ačkar
  3. 23L. Dobrić
  1. 3K. Blaževski
  2. 6T. Karamatić
  3. 17Antonio Kćira
  4. 24I. Bošnjak
  1. 1L. Spudić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Opatija have 3 wins, 7 draws and 5 defeats; Jarun have 9, 4 and 2.

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

Opatija
DateOpponentScoreCompetition
Oct 23, 2021Rudes(away)0-3First NL
Oct 16, 2021NK Varazdin(home)2-2First NL
Oct 2, 2021NK Osijek II(away)2-0First NL
Sep 26, 2021Croatia Zmijavci(away)0-3First NL
Sep 18, 2021Solin(home)1-1First NL
Jarun
DateOpponentScoreCompetition
Oct 23, 2021Croatia Zmijavci(home)2-3First NL
Oct 16, 2021Solin(away)1-1First NL
Oct 2, 2021Dinamo Zagreb II(home)2-0First NL
Sep 26, 2021Bsk Bijelo Brdo(away)2-2First NL
Sep 18, 2021Kustosija(home)1-1First NL

How many goals should we expect?

Opatija score 1.0 and concede 1.3 goals per match over their last 15; Jarun score 2.3 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Opatija1.01.366/158/15
Jarun2.31.169/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
13Opatija82249118

A question about Opatija vs Jarun?

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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