Match

AOT Alimos vs Paniliakos: result 1-1 and analysis

Football LeagueNotios - 1Kick-off on October 12, 2014 at 01:00 PM (UTC)Stadio Kaisarianis Michalis Kritikopoulos, Athens

AOT Alimos
1-1
Paniliakos

Full time

What was the result of AOT Alimos vs Paniliakos?

AOT Alimos and Paniliakos drew 1-1 on October 12, 2014.

Goalscorers

  • 4′Ilias IoannouAOT Alimos
  • 14′Thomas TsitasPaniliakos

Official lineup for AOT Alimos vs Paniliakos

The starting elevens fielded at kick-off.

AOT Alimos

  1. 9Marcel Simão Emerin
  2. 44Ilias Ioannou
  1. 10Mariano Román Berriex
  2. 13Dimitris Karameris
  3. 27Dimitris Pantelis
  1. 3M. Kalaitzidis
  2. 4Christoforos Gavriil
  3. 17Giorgos Manoliadis
  4. 20Santiago Hernán Villafañe
  5. 55O. Nikolopoulos
  1. 33G. Bantikos

Paniliakos

  1. 19Thomas Tsitas
  2. 90G. Bountopoulos
  1. 5Z. Dimitroulopoulos
  2. 6Leonidas Kasnetsi
  3. 22V. Baxevanou
  4. 26Giannis Georgopoulos
  5. 33V. Emmanouil
  1. 2T. Graikos
  2. 4T. Fourtounis
  3. 18K. Nikolopoulos
  1. 15D. Ginis
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What is the recent form of both teams?

Over their last 2 matches in all competitions, AOT Alimos have 0 wins, 0 draws and 2 defeats; Paniliakos have 7, 3 and 5.

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

AOT Alimos
DateOpponentScoreCompetition
Sep 14, 2014Chania(home)2-3Cup
Aug 28, 2014Chania(away)0-4Cup
Paniliakos
DateOpponentScoreCompetition
Sep 14, 2014Panachaiki FC(home)1-1Cup
Aug 28, 2014Panachaiki FC(away)0-3Cup
Mar 30, 2014Acharnaikos(home)2-1Football League
Mar 22, 2014Episkopi(away)0-1Football League
Mar 16, 2014Fostiras(home)0-2Football League

How many goals should we expect?

AOT Alimos score 1.0 and concede 3.5 goals per match over their last 2; Paniliakos score 1.4 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
AOT Alimos1.03.501/22/2
Paniliakos1.40.956/155/15

Over the last 2 matches in all competitions.

A question about AOT Alimos vs Paniliakos?

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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