Match

Alki Oroklini vs Ermis: result 0-2 and analysis

1. DivisionRegular Season - 2Kick-off on September 2, 2018 at 03:00 PM (UTC)Stadio Ammochostos Epistrofi, Larnaca

Alki Oroklini
0-2
Ermis

Full time

What was the result of Alki Oroklini vs Ermis?

Ermis won 0-2 on September 2, 2018.

Goalscorers

  • 11′Y. MartyniukErmis
  • 74′?Ermis

Official lineup for Alki Oroklini vs Ermis

The starting elevens fielded at kick-off.

Alki Oroklini

  1. 7Andreas Stavrou
  2. 9Marlon Da Silva
  3. 35M. Ilia
  1. 8Aikel Gadacha Charrad
  2. 18D. Trajchevski
  3. 20Rafael Eduardo Acosta Cammarota
  1. 4Alexis Theocharous
  2. 24P. Loizides
  3. 27Franco Flores
  4. 66Orlin Starokin
  1. 78U. Pardo

Ermis

  1. 11N. Kipiani
  1. 2H. Goulon
  2. 8Y. Martyniuk
  3. 10Dídac Devesa
  4. 19S. Keita
  5. 23G. Fylaktou
  6. 77Ilias Georgiou
  1. 3Vladimir Volkov
  2. 18Iván Malón Aragonés
  3. 25Kuagica David
  1. 1Giannis Arabatzis
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What is the recent form of both teams?

In their last match in all competitions, Alki Oroklini have 0 wins, 0 draws and 1 defeat; Ermis have 0, 0 and 3.

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

Alki Oroklini
DateOpponentScoreCompetition
Aug 25, 2018Omonia Nicosia(away)0-11. Division
Ermis
DateOpponentScoreCompetition
Aug 25, 2018AEL(home)0-11. Division
Aug 7, 2014BSC Young Boys(home)0-2UEFA Europa League
Jul 31, 2014BSC Young Boys(away)0-1UEFA Europa League

How many goals should we expect?

Alki Oroklini score 0.0 and concede 1.0 goals per match in their last match; Ermis score 0.0 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Alki Oroklini0.01.000/10/1
Ermis0.01.300/30/3

Over the last match in all competitions.

A question about Alki Oroklini vs Ermis?

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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