Match

Kustosija vs Rudes: result 0-2 and analysis

First NLRegular Season - 3Kick-off on August 31, 2019 at 02:00 PM (UTC)Igralište NK Kustošija, Zagreb

Kustosija
0-2
Rudes

Full time

What was the result of Kustosija vs Rudes?

Rudes won 0-2 on August 31, 2019.

Goalscorers

  • 64′N. BurićRudes
  • 71′Dejan ČabrajaRudes

Official lineup for Kustosija vs Rudes

The starting elevens fielded at kick-off.

Kustosija

  1. 15Marko Šlogar
  2. 19M. Mlinarić
  1. 7T. Vukadin
  2. 8I. Jugović
  3. 10Matej Vragolović
  4. 14K. Deak
  5. 20D. Molls
  1. 4L. Pavković
  2. 6P. Šimunić
  3. 16F. Šušković Jakopac
  1. 1D. Žarkov

Rudes

  1. 9Dejan Čabraja
  2. 18N. Burić
  3. 19D. Jurić
  4. 21S. Amoatheng
  1. 3D. Manenica
  2. 4M. Matić
  3. 8P. Zoungrana
  4. 13Leonard Mesarić
  5. 16M. Šuto
  6. 20T. Gorupec
  1. 1I. Banić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kustosija have 2 wins, 5 draws and 8 defeats; Rudes have 4, 1 and 10.

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

Kustosija
DateOpponentScoreCompetition
Aug 25, 2019HNK Hajduk Split II(away)0-4First NL
Aug 17, 2019Dugopolje(home)2-3First NL
May 25, 2019Bsk Bijelo Brdo(away)0-2First NL
May 18, 2019Sesvete(home)2-0First NL
May 11, 2019Sibenik(away)1-2First NL
Rudes
DateOpponentScoreCompetition
Aug 25, 2019Sibenik(home)0-1First NL
Aug 18, 2019Bsk Bijelo Brdo(away)2-0First NL
May 24, 2019Istra 1961(away)0-2HNL
May 20, 2019NK Slaven Belupo(home)0-1HNL
May 14, 2019HNK Hajduk Split(home)1-4HNL

How many goals should we expect?

Kustosija score 0.6 and concede 1.3 goals per match over their last 15; Rudes score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kustosija0.61.355/154/15
Rudes0.91.545/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
15Kustosija92436710

A question about Kustosija vs Rudes?

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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