Match

Anagennisi Karditsas vs Aiolikos: result 3-1 and analysis

Super League 2Group A - 3Kick-off on October 11, 2023 at 01:00 PM (UTC)Stadio Karditsas, Karditsa

Anagennisi Karditsas
3-1
Aiolikos

Full time

What was the result of Anagennisi Karditsas vs Aiolikos?

Anagennisi Karditsas won 3-1 on October 11, 2023.

Goalscorers

  • 34′S. KokkinisAnagennisi Karditsas
  • 61′G. ManousosAiolikos
  • 68′G. XydasAnagennisi Karditsas
  • 87′J. StamopoulosAnagennisi Karditsas

What is the recent form of both teams?

Over their last 15 matches in all competitions, Anagennisi Karditsas have 3 wins, 8 draws and 4 defeats; Aiolikos have 10, 1 and 4.

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

Anagennisi Karditsas
DateOpponentScoreCompetition
Oct 1, 2023Iraklis 1908(away)1-1Super League 2
Sep 27, 2023Aiolikos(away)0-3Cup
Sep 24, 2023AEK Athens II(home)2-1Super League 2
Jun 17, 2023Apollon Pontou(away)0-1Super League 2
Jun 10, 2023Larisa(home)2-2Super League 2
Aiolikos
DateOpponentScoreCompetition
Oct 2, 2023Makedonikos Neapolis(home)1-3Super League 2
Sep 27, 2023Anagennisi Karditsas(home)3-0Cup
Sep 24, 2023Kozani(away)2-1Super League 2
Jun 23, 2023Giouchtas(away)0-2Gamma Ethniki - Promotion Group
Jun 18, 2023Kozani(home)2-0Gamma Ethniki - Promotion Group

What does the head-to-head say?

Across the last 1 meetings: 0 Anagennisi Karditsas win(s), 0 draw(s), 1 Aiolikos win(s).

DateScoreCompetition
Sep 27, 2023Aiolikos 3-0 Anagennisi KarditsasCup

Last archived meeting: Aiolikos vs Anagennisi Karditsas on Sep 27, 2023

How many goals should we expect?

Anagennisi Karditsas score 1.1 and concede 1.2 goals per match over their last 15; Aiolikos score 1.7 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Anagennisi Karditsas1.11.239/157/15
Aiolikos1.71.066/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
3Anagennisi Karditsas181233251039

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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