Match

Foinikas N. Epidavrou vs Panionios: result 0-2 and analysis

Gamma Ethniki - Group 4Group 4 - 19Kick-off on March 15, 2023 at 02:00 PM (UTC)Dimotiko Gipedo Neas Epidavrou, Epidavros

Foinikas N. Epidavrou
0-2
Panionios

Full time

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

Panionios won 0-2 on March 15, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Foinikas N. Epidavrou have 8 wins, 1 draw and 6 defeats; Panionios have 8, 6 and 1.

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

Foinikas N. Epidavrou
DateOpponentScoreCompetition
Mar 11, 2023Aiolikos(away)3-2Gamma Ethniki - Group 4
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
Panionios
DateOpponentScoreCompetition
Mar 11, 2023Rodos(home)1-0Gamma Ethniki - Group 4
Mar 5, 2023Aias Gastounis(away)2-0Gamma Ethniki - Group 4
Feb 25, 2023Panargiakos(home)0-0Gamma Ethniki - Group 4
Feb 19, 2023Ialysos(away)0-0Gamma Ethniki - Group 4
Feb 12, 2023Ermionida(home)4-1Gamma Ethniki - Group 4

What does the head-to-head say?

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

DateScoreCompetition
Dec 17, 2022Panionios 3-1 Foinikas N. EpidavrouGamma Ethniki - Group 4

Last archived meeting: Panionios vs Foinikas N. Epidavrou on Dec 17, 2022

How many goals should we expect?

Foinikas N. Epidavrou score 1.7 and concede 1.3 goals per match over their last 15; Panionios score 1.5 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Foinikas N. Epidavrou1.71.348/158/15
Panionios1.50.586/154/15

Over the last 15 matches in all competitions.

A question about Foinikas N. Epidavrou vs Panionios?

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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