Match

Giannitsa vs Aiginiakos: result 2-3 and analysis

Cup1st RoundKick-off on September 15, 2013 at 01:00 PM (UTC)Stadio Giannitsou, Giannitsa

Giannitsa
2-3
Aiginiakos

Full time

What was the result of Giannitsa vs Aiginiakos?

Aiginiakos won 2-3 on September 15, 2013.

Goalscorers

  • 7′Georgios MoschakisGiannitsa
  • 8′S. MiloškovićAiginiakos
  • 69′P. KarakatsanisAiginiakos
  • 78′M. JankulicaGiannitsa
  • 115′Nikos ZourkosAiginiakos

Official lineup for Giannitsa vs Aiginiakos

The starting elevens fielded at kick-off.

Giannitsa

  1. GGeorgios Moschakis
  2. VV. Baxevanou
  3. CC. Karabelas
  4. AAngelos Harmanas
  5. MM. Jankulica
  6. SS. Labakis
  7. DD. Ivanidis
  1. CChristos Palaskas
  2. TT. Kouroupis
  3. VVaggelis Tsiamis
  1. AA. Karaoglanidis

Aiginiakos

  1. PPredrag Sikimić
  1. KK. Chatzis
  2. II. Mitrov
  3. EE. Gaqollari
  4. SS. Milošković
  5. NNikos Zourkos
  1. DD. Samaras
  2. DD. Petkakis
  3. PPanagiotis Giatsitsoglou
  4. PPavlos Dimou
  1. AAthanasios Tolios
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Giannitsa have 2 wins, 2 draws and 11 defeats; Aiginiakos have 0, 1 and 2.

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

Giannitsa
DateOpponentScoreCompetition
May 26, 2013Kavala(away)1-2Football League
May 22, 2013AEL Kallonis(home)0-3Football League
May 19, 2013Iraklis(away)1-3Football League
May 15, 2013Pierikos(home)3-1Football League
May 12, 2013Apollon Smirnis(away)2-4Football League
Aiginiakos
DateOpponentScoreCompetition
Dec 22, 2012PAOK(away)1-2Cup
Dec 13, 2012PAOK(home)1-3Cup
Oct 24, 2012Ergotelis(home)2-2Cup

How many goals should we expect?

Giannitsa score 0.9 and concede 2.2 goals per match over their last 15; Aiginiakos score 1.3 and concede 2.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Giannitsa0.92.219/1510/15
Aiginiakos1.32.303/33/3

Over the last 15 matches in all competitions.

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Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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