Match

Maccabi Haifa vs Mura: result 2-0 and analysis

UEFA Europa League1st Qualifying RoundKick-off on July 11, 2019 at 05:00 PM (UTC)Sammy Ofer Stadium, Haifa

Maccabi Haifa
2-0
Mura

Full time

What was the result of Maccabi Haifa vs Mura?

Maccabi Haifa won 2-0 on July 11, 2019.

Goalscorers

  • 64′Y. AshkenaziMaccabi Haifa
  • 68′M. AwaedMaccabi Haifa

Official lineup for Maccabi Haifa vs Mura

The starting elevens fielded at kick-off.

Maccabi Haifa

3-5-2
  1. 8Dolev Haziza
  2. 11Y. Shua
  1. 25Yosef Raz Meir
  2. 18Y. Ashkenazi
  3. 6N. Lavi
  4. 28Maxim Plakushchenko
  5. 26Ernest Olivier Bienvenu Mabouka Massoussi
  1. 5R. Gershon
  2. 21A. Habashi
  3. 15Arad Ofri
  1. 77G. Haimov

Mura

4-2-3-1
  1. 17A. Maroša
  1. 22L. Šušnjara
  2. 8L. Bobičanec
  3. 21Ž. Karničnik
  1. 7A. Kozar
  2. 28J. Šporn
  1. 23K. Šturm
  2. 9M. Maruško
  3. 4Aleksandar Boškovič
  4. 11Ž. Kous
  1. 69M. Obradovič
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Maccabi Haifa have 7 wins, 4 draws and 4 defeats; Mura have 7, 5 and 3.

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

Maccabi Haifa
DateOpponentScoreCompetition
May 25, 2019Maccabi Netanya(away)2-1Ligat Ha'al
May 19, 2019Maccabi Tel Aviv(home)1-1Ligat Ha'al
May 13, 2019Hapoel Hadera(away)0-2Ligat Ha'al
May 6, 2019Hapoel Beer Sheva(home)3-1Ligat Ha'al
Apr 29, 2019Bnei Yehuda(away)2-2Ligat Ha'al
Mura
DateOpponentScoreCompetition
May 25, 2019Celje(home)1-11. SNL
May 22, 2019Olimpija Ljubljana(away)0-11. SNL
May 18, 2019Gorica(home)3-01. SNL
May 15, 2019Aluminij(away)1-01. SNL
May 11, 2019Krško(away)3-01. SNL

How many goals should we expect?

Maccabi Haifa score 1.4 and concede 1.2 goals per match over their last 15; Mura score 1.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Maccabi Haifa1.41.239/157/15
Mura1.70.785/157/15

Over the last 15 matches in all competitions.

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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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