Match

Dinamo Zagreb II vs Junak: result 1-1 and analysis

First NLRegular Season - 11Kick-off on October 25, 2020 at 01:00 PM (UTC)Stadion Kranjčevićeva, Zagreb

Dinamo Zagreb II
1-1
Junak

Full time

What was the result of Dinamo Zagreb II vs Junak?

Dinamo Zagreb II and Junak drew 1-1 on October 25, 2020.

Goalscorers

  • 4′Bruno JenjićJunak (pen.)
  • 47′E. JulardžijaDinamo Zagreb II

Official lineup for Dinamo Zagreb II vs Junak

The starting elevens fielded at kick-off.

Dinamo Zagreb II

  1. 9I. Svržnjak
  2. 11B. Karrica
  1. 3R. Jurišić
  2. 6T. Duvnjak
  3. 7D. Kapitanović
  4. 8M. Vukotić
  5. 10E. Julardžija
  1. 2T. Hrvoj
  2. 4L. Jelenić
  3. 5Leon Sopić
  1. 1R. Josipović

Junak

  1. 10L. Andrić
  2. 21Seo Woo-Min
  1. 5Bruno Jenjić
  2. 6J. Marunica
  3. 7S. Vuković
  4. 14R. Jandrek
  5. 15Josip Mihovilović
  1. 13B. Markovina
  2. 22T. Vardić
  3. 24D. Manenica
  1. 1R. Runje
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Dinamo Zagreb II have 5 wins, 3 draws and 7 defeats; Junak have 3, 5 and 7.

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

Dinamo Zagreb II
DateOpponentScoreCompetition
Oct 19, 2020NK Osijek II(away)1-1First NL
Oct 4, 2020Hrvatski Dragovoljac(home)0-3First NL
Sep 30, 2020Orijent 1919(away)1-2First NL
Sep 27, 2020Dubrava Zagreb(home)1-0First NL
Sep 19, 2020HNK Cibalia(away)1-2First NL
Junak
DateOpponentScoreCompetition
Oct 17, 2020Opatija(home)0-2First NL
Oct 3, 2020Kustosija(away)2-3First NL
Sep 30, 2020Inter Zapresic(home)2-2First NL
Sep 26, 2020Medjimurje Cakovec(away)3-4First NL
Sep 23, 2020Orijent 1919(away)2-1First NL

How many goals should we expect?

Dinamo Zagreb II score 1.2 and concede 1.1 goals per match over their last 15; Junak score 1.5 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dinamo Zagreb II1.21.165/158/15
Junak1.52.0111/1510/15

Over the last 15 matches in all competitions.

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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