Match

Molde vs Cukaricki: result 0-0 and analysis

UEFA Europa League2nd Qualifying RoundKick-off on July 25, 2019 at 05:00 PM (UTC)Aker Stadion, Molde

Molde
0-0
Cukaricki

Full time

What was the result of Molde vs Cukaricki?

Molde and Cukaricki drew 0-0 on July 25, 2019.

Official lineup for Molde vs Cukaricki

The starting elevens fielded at kick-off.

Molde

4-2-3-1
  1. 10L. James
  1. 99O. Omoijuanfo
  2. 7M. Eikrem
  3. 19E. Hestad
  1. 16E. Hussain
  2. 17F. Aursnes
  1. 28K. Haugen
  2. 5V. Forren
  3. 2M. Bjørnbak
  4. 18K. Haraldseid
  1. 12Á. Craninx

Cukaricki

4-2-3-1
  1. 9S. Tedić
  1. 33A. Đorđević
  2. 22L. Stojanović
  3. 19S. Owusu
  1. 5M. Docić
  2. 77S. Kovač
  1. 23M. Bogosavac
  2. 21D. Puškarić
  3. 65S. Šapić
  4. 30N. Ćirković
  1. 1N. Belić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Molde have 9 wins, 3 draws and 3 defeats; Cukaricki have 7, 6 and 2.

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

Molde
DateOpponentScoreCompetition
Jul 21, 2019Sarpsborg 08 FF(home)2-1Eliteserien
Jul 18, 2019KR Reykjavik(away)0-0UEFA Europa League
Jul 11, 2019KR Reykjavik(home)7-1UEFA Europa League
Jul 5, 2019ODD Ballklubb(away)2-2Eliteserien
Jun 30, 2019Brann(home)1-1Eliteserien
Cukaricki
DateOpponentScoreCompetition
Jul 20, 2019Napredak(home)1-0Super Liga
Jul 16, 2019FC Urartu(away)5-0UEFA Europa League
Jul 11, 2019FC Urartu(home)3-0UEFA Europa League
May 19, 2019Vojvodina(home)1-1Super Liga
May 11, 2019Mladost Lucani(away)1-1Super Liga

How many goals should we expect?

Molde score 2.5 and concede 1.1 goals per match over their last 15; Cukaricki score 1.9 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Molde2.51.168/1511/15
Cukaricki1.90.986/158/15

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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