Match

Kifisia vs Diagoras: result 0-0 and analysis

Super League 2Group B - 5Kick-off on November 28, 2021 at 03:00 PM (UTC)Stadio Kaisarianis Michalis Kritikopoulos, Athens

Kifisia
0-0
Diagoras

Full time

What was the result of Kifisia vs Diagoras?

Kifisia and Diagoras drew 0-0 on November 28, 2021.

Official lineup for Kifisia vs Diagoras

The starting elevens fielded at kick-off.

Kifisia

  1. 6A. Papasavvas
  2. 8Dorival das Neves Ferraz Júnior
  3. 10A. Tetteh
  4. 88I. Oikonomidis
  5. 90M. Kallergis
  1. 4P. Artymatas
  2. 5I. Sotirakos
  3. 14E. Pavlakis
  4. 23Evangelos Gotovos
  5. 24Giannis Prionas
  1. 12A. Kolovouris

Diagoras

  1. 8Sotirios-Panteleimon Pispas
  2. 9M. Kouiroukidis
  3. 10G. Bastianos
  4. 29M. Zounis
  1. 7Giannis Giorgou
  2. 16H. Mumin
  1. 3G. Singh
  2. 4K. Rougkalas
  3. 24C. Topal
  4. 44A. Karatasios
  1. 23G. Bintsis
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kifisia have 13 wins, 0 draws and 2 defeats; Diagoras have 4, 2 and 9.

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

Kifisia
DateOpponentScoreCompetition
Nov 24, 2021Asteras Vlachioti(away)1-0Super League 2
Nov 20, 2021Ergotelis(home)1-2Super League 2
Nov 13, 2021AE Karaiskakis(away)2-0Super League 2
Nov 7, 2021Panathinaikos II(home)2-0Super League 2
Nov 3, 2021Apollon Smirnis(home)1-0Cup
Diagoras
DateOpponentScoreCompetition
Nov 24, 2021Episkopi(home)1-0Super League 2
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

How many goals should we expect?

Kifisia score 2.1 and concede 0.5 goals per match over their last 15; Diagoras score 0.9 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kifisia2.10.5105/157/15
Diagoras0.91.837/157/15

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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