Match

Bednja vs NK Osijek: result 0-3 and analysis

CupRound of 32Kick-off on September 15, 2021 at 02:00 PM (UTC)Nogometno igralište Kod mosta, Beletinec

Bednja
0-3
NK Osijek

Full time

What was the result of Bednja vs NK Osijek?

NK Osijek won 0-3 on September 15, 2021.

Goalscorers

  • 2′Y. CheberkoNK Osijek
  • 29′P. BočkajNK Osijek
  • 77′M. DakuNK Osijek

Official lineup for Bednja vs NK Osijek

The starting elevens fielded at kick-off.

Bednja

  1. MM. Mašić
  2. SS. Medved
  3. FF. Holi
  4. VV. Puškadija
  5. II. Sinković
  6. RR. Bregović
  7. JJ. Klopotan
  8. TT. Herceg
  9. LL. Žuti
  10. DD. Šinček
  11. DD. Božak

NK Osijek

  1. AA. Hiroš
  2. MM. Topčagić
  1. LL. Kleinheisler
  2. PP. Bočkaj
  3. MM. Ndockyt
  4. MM. Žaper
  5. MM. Pilj
  1. MM. Miloš
  2. SS. Bralić
  3. YY. Cheberko
  1. MM. Malenica
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Bednja have 2 wins, 0 draws and 2 defeats; NK Osijek have 6, 6 and 3.

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

Bednja
DateOpponentScoreCompetition
Aug 25, 2021Uljanik(home)1-0Cup
Aug 28, 2019Vuteks-Sloga(home)1-2Cup
Sep 18, 2018Inter Zapresic(home)0-3Cup
Aug 29, 2018Pitomača(home)2-0Cup
NK Osijek
DateOpponentScoreCompetition
Sep 12, 2021NK Lokomotiva Zagreb(away)1-1HNL
Aug 29, 2021Dinamo Zagreb(home)0-2HNL
Aug 22, 2021Istra 1961(away)0-2HNL
Aug 15, 2021HNK Rijeka(home)1-0HNL
Aug 12, 2021CSKA Sofia(home)1-1UEFA Europa Conference League

How many goals should we expect?

Bednja score 1.0 and concede 1.3 goals per match over their last 4; NK Osijek score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Bednja1.01.321/42/4
NK Osijek1.10.976/155/15

Over the last 4 matches in all competitions.

A question about Bednja vs NK Osijek?

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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