Match

Aiolikos vs Foinikas N. Epidavrou: result 2-3 and analysis

Gamma Ethniki - Group 4Group 4 - 18Kick-off on March 11, 2023 at 01:00 PM (UTC)Dimotiko Stadio Mytilene, Mytilene

Aiolikos
2-3
Foinikas N. Epidavrou

Full time

What was the result of Aiolikos vs Foinikas N. Epidavrou?

Foinikas N. Epidavrou won 2-3 on March 11, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Aiolikos have 11 wins, 1 draw and 3 defeats; Foinikas N. Epidavrou have 7, 2 and 6.

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

Aiolikos
DateOpponentScoreCompetition
Mar 5, 2023Rodos(away)1-2Gamma Ethniki - Group 4
Feb 26, 2023Aias Gastounis(home)2-1Gamma Ethniki - Group 4
Feb 19, 2023Panargiakos(away)1-0Gamma Ethniki - Group 4
Feb 12, 2023Ialysos(home)2-1Gamma Ethniki - Group 4
Feb 9, 2023Panionios(away)1-1Gamma Ethniki - Group 4
Foinikas N. Epidavrou
DateOpponentScoreCompetition
Mar 5, 2023Pyliou(away)1-0Gamma Ethniki - Group 4
Feb 26, 2023APS Patrai(home)4-0Gamma Ethniki - Group 4
Feb 19, 2023Diavolitsi(away)1-2Gamma Ethniki - Group 4
Feb 12, 2023AE Mykonos(home)1-0Gamma Ethniki - Group 4
Feb 8, 2023Pangytheatikos(away)4-1Gamma Ethniki - Group 4

What does the head-to-head say?

In the last meeting: 1 Aiolikos win, 0 draws, 0 Foinikas N. Epidavrou wins.

DateScoreCompetition
Dec 11, 2022Foinikas N. Epidavrou 0-1 AiolikosGamma Ethniki - Group 4

Last archived meeting: Foinikas N. Epidavrou vs Aiolikos on Dec 11, 2022

How many goals should we expect?

Aiolikos score 1.7 and concede 0.7 goals per match over their last 15; Foinikas N. Epidavrou score 1.7 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Aiolikos1.70.776/157/15
Foinikas N. Epidavrou1.71.348/158/15

Over the last 15 matches in all competitions.

A question about Aiolikos vs Foinikas N. Epidavrou?

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

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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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