Match

Kavala vs Panetolikos: result 0-0 and analysis

Football LeagueRegular Season - 2Kick-off on October 3, 2012 at 01:45 PM (UTC)Dimotiko Stadio Anthi Karagianni, Kavala

Kavala
0-0
Panetolikos

Full time

What was the result of Kavala vs Panetolikos?

Kavala and Panetolikos drew 0-0 on October 3, 2012.

Official lineup for Kavala vs Panetolikos

The starting elevens fielded at kick-off.

Kavala

  1. 7G. Chloros
  2. 17Marcos Paulo dos Santos
  1. 8M. Mokaké
  2. 10T. Nsaliwa
  3. 14Dimitris Anastasopoulos
  4. 16S. Marangos
  5. 77Serge Dié
  1. 2Theodoros Tripotseris
  2. 3A. Pagonis
  3. 6D. Geladaris
  1. 1E. Apostolidis

Panetolikos

  1. 7H. Camara
  2. 20Hristo Angelov Yanev
  3. 77Christos Koutsospiros
  1. 8P. Mitropoulos
  2. 10L. Favalli
  1. 3V. Golias
  2. 5Georgios Kousas
  3. 25Giuseppe Aquaro
  4. 27M. Bakakis
  5. 57G. Ioannou
  1. 23G. Takidis
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What is the recent form of both teams?

In their last match in all competitions, Kavala have 0 wins, 0 draws and 1 defeat; Panetolikos have 3, 2 and 10.

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

Kavala
DateOpponentScoreCompetition
Sep 30, 2012Olympiakos Volos(away)0-2Football League
Panetolikos
DateOpponentScoreCompetition
Sep 29, 2012AEL Kallonis(home)0-1Football League
Apr 22, 2012Panathinaikos(away)0-4Super League 1
Apr 18, 2012Aris Thessalonikis(home)5-1Super League 1
Apr 8, 2012OFI(away)0-1Super League 1
Apr 1, 2012Olympiakos Piraeus(home)0-1Super League 1

How many goals should we expect?

Kavala score 0.0 and concede 2.0 goals per match in their last match; Panetolikos score 0.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kavala0.02.000/10/1
Panetolikos0.71.324/153/15

Over the last match in all competitions.

Where do both teams sit in the table?

2020 standings
#ClubPWDLGFGAPts
6Kavala23995231236

A question about Kavala vs Panetolikos?

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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