Match

Dugopolje vs Imotski: result 2-0 and analysis

First NLRegular Season - 11Kick-off on October 15, 2016 at 01:00 PM (UTC)Stadion Hrvatski vitezovi, Dugopolje

Dugopolje
2-0
Imotski

Full time

What was the result of Dugopolje vs Imotski?

Dugopolje won 2-0 on October 15, 2016.

Official lineup for Dugopolje vs Imotski

The starting elevens fielded at kick-off.

Dugopolje

  1. 8Mario Sačer
  2. 9N. Mandić
  3. 16V. Paireli
  4. 22E. Cəfərov
  1. 14T. Glavaš
  2. 23D. Balić
  3. 24S. Jurić
  4. 25Ivan Žižić
  1. 4Mario Batinić
  2. 26Ivan Krstulović-Opara
  1. 1D. Picak

Imotski

  1. 9Š. Žužul
  2. 17A. Bošnjak
  1. 8D. Landeka
  2. 10Ivan Tomičić
  3. 14L. Begić
  4. 15I. Paponja
  5. 22D. Mandarić
  1. 16M. Šuto
  2. 18T. Puljić
  3. 21M. Paponja
  1. 1M. Gudelj
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Dugopolje have 4 wins, 3 draws and 3 defeats; Imotski have 1, 3 and 6.

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

Dugopolje
DateOpponentScoreCompetition
Oct 8, 2016Novigrad(away)0-1First NL
Oct 1, 2016Lucko(away)1-1First NL
Sep 24, 2016Rudes(home)0-0First NL
Sep 21, 2016Dinamo Zagreb II(away)0-1First NL
Sep 17, 2016Sibenik(home)1-0First NL
Imotski
DateOpponentScoreCompetition
Oct 8, 2016Lucko(home)3-2First NL
Oct 2, 2016Rudes(away)0-1First NL
Sep 28, 2016Sibenik(away)0-2First NL
Sep 24, 2016Dinamo Zagreb II(home)0-0First NL
Sep 17, 2016Hrvatski Dragovoljac(home)1-1First NL

How many goals should we expect?

Dugopolje score 1.0 and concede 0.6 goals per match over their last 10; Imotski score 0.8 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dugopolje1.00.653/102/10
Imotski0.81.614/103/10

Over the last 10 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
14Dugopolje9243131410

A question about Dugopolje vs Imotski?

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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