Match

NK Osijek II vs Jarun: result 0-0 and analysis

First NLRegular Season - 14Kick-off on November 27, 2021 at 12:30 PM (UTC)Stadion Gradski vrt, Osijek

NK Osijek II
0-0
Jarun

Full time

What was the result of NK Osijek II vs Jarun?

NK Osijek II and Jarun drew 0-0 on November 27, 2021.

Official lineup for NK Osijek II vs Jarun

The starting elevens fielded at kick-off.

NK Osijek II

  1. 5D. Bukvić
  2. 14M. Kuprešak
  3. 25N. Omerović
  1. 7D. Stranput
  2. 10P. Brlek
  3. 21M. Karamatić
  1. 4A. Uwem
  2. 6M. Bakula
  3. 9T. Kuprešak
  4. 22I. Cvijanović
  1. 1M. Barešić

Jarun

  1. 20Marko Brkić
  1. 8I. Jugović
  2. 9M. Kelava
  3. 22A. Ačkar
  4. 23L. Dobrić
  1. 3K. Blaževski
  2. 4David Večerić
  3. 6T. Karamatić
  4. 14Ivan Čeliković
  5. 24I. Bošnjak
  1. 12B. Bermanec
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What is the recent form of both teams?

Over their last 15 matches in all competitions, NK Osijek II have 4 wins, 6 draws and 5 defeats; Jarun have 7, 4 and 4.

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

NK Osijek II
DateOpponentScoreCompetition
Nov 19, 2021Kustosija(away)0-0First NL
Nov 12, 2021Inter Zapresic(away)0-2First NL
Nov 7, 2021Rudes(home)2-1First NL
Oct 24, 2021NK Varazdin(home)0-0First NL
Oct 16, 2021HNK Cibalia(away)0-1First NL
Jarun
DateOpponentScoreCompetition
Nov 20, 2021Rudes(away)0-3First NL
Nov 6, 2021NK Varazdin(home)2-4First NL
Oct 30, 2021Opatija(away)1-0First NL
Oct 23, 2021Croatia Zmijavci(home)2-3First NL
Oct 16, 2021Solin(away)1-1First NL

How many goals should we expect?

NK Osijek II score 1.1 and concede 1.3 goals per match over their last 15; Jarun score 1.7 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
NK Osijek II1.11.347/157/15
Jarun1.71.468/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
12Jarun338916344233

A question about NK Osijek II 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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