Match

Kifisia vs Panathinaikos II: result 2-0 and analysis

Super League 2Group B - 1Kick-off on November 7, 2021 at 01:00 PM (UTC)Stadio Kaisarianis Michalis Kritikopoulos, Athens

Kifisia
2-0
Panathinaikos II

Full time

What was the result of Kifisia vs Panathinaikos II?

Kifisia won 2-0 on November 7, 2021.

Goalscorers

  • 9′I. SotirakosKifisia
  • 26′I. OikonomidisKifisia

Official lineup for Kifisia vs Panathinaikos II

The starting elevens fielded at kick-off.

Kifisia

  1. 9S. Kritikos
  2. 10A. Tetteh
  1. 7P. Pritsas
  2. 8Dorival das Neves Ferraz Júnior
  3. 88I. Oikonomidis
  4. 90M. Kallergis
  1. 4P. Artymatas
  2. 5I. Sotirakos
  3. 23Evangelos Gotovos
  4. 24Giannis Prionas
  1. 1Thanassis Michelis

Panathinaikos II

  1. 23Y. N'Gbakoto
  2. 79C. Marathonitis
  3. 92T. Tsirigotis
  1. 37A. Athanasakopoulos
  2. 96I. Iliadis
  1. 2G. Vagiannidis
  2. 24G. Sideras
  3. 26V. Theocharis
  4. 74A. Robi
  5. 80A. Martinis
  1. 68N. Christogeorgos
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kifisia have 14 wins, 0 draws and 1 defeat; Panathinaikos II have 0, 0 and 1.

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

Kifisia
DateOpponentScoreCompetition
Nov 3, 2021Apollon Smirnis(home)1-0Cup
Sep 26, 2021Nea Artaki(away)2-1Cup
Jun 13, 2021Foinikas N. Epidavrou(away)2-3Gamma Ethniki - Group 7
Jun 9, 2021Nafplio 2017(home)7-0Gamma Ethniki - Group 7
Jun 6, 2021Ermis Meligous(home)2-0Gamma Ethniki - Group 7
Panathinaikos II
DateOpponentScoreCompetition
Sep 4, 2021Panetolikos(away)1-3Friendlies Clubs

How many goals should we expect?

Kifisia score 2.2 and concede 0.5 goals per match over their last 15; Panathinaikos II score 1.0 and concede 3.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kifisia2.20.5105/158/15
Panathinaikos II1.03.001/11/1

Over the last 15 matches in all competitions.

A question about Kifisia vs Panathinaikos II?

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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