Match

Diagoras vs Episkopi: result 1-0 and analysis

Super League 2Group B - 4Kick-off on November 24, 2021 at 01:00 PM (UTC)Stadio Diagora, Rodos

Diagoras
1-0
Episkopi

Full time

What was the result of Diagoras vs Episkopi?

Diagoras won 1-0 on November 24, 2021.

Goalscorers

  • 88′G. SinghDiagoras

Official lineup for Diagoras vs Episkopi

The starting elevens fielded at kick-off.

Diagoras

  1. 9M. Kouiroukidis
  2. 10G. Bastianos
  3. 29M. Zounis
  1. 16H. Mumin
  2. 21V. Tsiantoulas
  3. 77K. Lampiris
  1. 3G. Singh
  2. 4K. Rougkalas
  3. 24C. Topal
  4. 44A. Karatasios
  1. 23G. Bintsis

Episkopi

  1. 10Demethryus
  2. 19V. Nikokyrakis
  3. 99Tharcysio
  1. 8D. Polychronis
  2. 14T. Johnson Eboh
  3. 18Diogo Trindade
  1. 2V. Andrikopoulos
  2. 4Barbosa
  3. 5Nuca
  4. 22A. Tsavos
  1. 31M. Kalogerakis
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Diagoras have 3 wins, 2 draws and 10 defeats; Episkopi have 3, 7 and 5.

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

Diagoras
DateOpponentScoreCompetition
Nov 21, 2021Rodos(away)0-3Super League 2
Nov 14, 2021Levadiakos(home)1-1Super League 2
Nov 7, 2021Irodotos(away)2-1Super League 2
Oct 6, 2021Larisa(home)1-2Cup
Sep 25, 2021Aris Soudas(away)1-0Cup
Episkopi
DateOpponentScoreCompetition
Nov 20, 2021Asteras Vlachioti(home)0-1Super League 2
Nov 14, 2021Ergotelis(away)0-1Super League 2
Nov 7, 2021AE Karaiskakis(home)0-1Super League 2
Sep 26, 2021Kallithea(away)1-2Cup
Jun 26, 2021Niki Volos(home)0-0Football League

How many goals should we expect?

Diagoras score 0.9 and concede 1.9 goals per match over their last 15; Episkopi score 0.7 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Diagoras0.91.927/157/15
Episkopi0.70.865/154/15

Over the last 15 matches in all competitions.

A question about Diagoras vs Episkopi?

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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