Match

Ermionida vs Paniliakos: result 6-3 and analysis

Gamma Ethniki - Group 4Group 4 - 13Kick-off on February 8, 2023 at 01:00 PM (UTC)Gipedo Kranidis, Kranidi

Ermionida
6-3
Paniliakos

Full time

What was the result of Ermionida vs Paniliakos?

Ermionida won 6-3 on February 8, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Ermionida have 6 wins, 4 draws and 5 defeats; Paniliakos have 3, 4 and 8.

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

Ermionida
DateOpponentScoreCompetition
Feb 4, 2023Aiolikos(away)0-3Gamma Ethniki - Group 4
Jan 29, 2023Foinikas N. Epidavrou(home)2-0Gamma Ethniki - Group 4
Jan 22, 2023Pyliou(away)1-3Gamma Ethniki - Group 4
Jan 15, 2023Rodos(home)1-0Gamma Ethniki - Group 4
Jan 7, 2023APS Patrai(away)2-1Gamma Ethniki - Group 4
Paniliakos
DateOpponentScoreCompetition
Feb 4, 2023Foinikas N. Epidavrou(away)1-2Gamma Ethniki - Group 4
Jan 29, 2023Rodos(home)2-1Gamma Ethniki - Group 4
Jan 22, 2023Aias Gastounis(away)0-3Gamma Ethniki - Group 4
Jan 15, 2023Panargiakos(home)0-2Gamma Ethniki - Group 4
Jan 8, 2023Ialysos(away)1-1Gamma Ethniki - Group 4

What does the head-to-head say?

Across the last 4 meetings: 4 Ermionida wins, 0 draws, 0 Paniliakos wins.

DateScoreCompetition
Feb 16, 2020Ermionida 2-0 PaniliakosGamma Ethniki - Group 7
Nov 3, 2019Paniliakos 2-3 ErmionidaGamma Ethniki - Group 7
Mar 14, 2015Ermionida 3-0 PaniliakosFootball League
Dec 17, 2014Paniliakos 0-3 ErmionidaFootball League

Last archived meeting: Ermionida vs Paniliakos on Feb 16, 2020

How many goals should we expect?

Ermionida score 0.9 and concede 1.0 goals per match over their last 15; Paniliakos score 0.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ermionida0.91.056/155/15
Paniliakos0.71.728/157/15

Over the last 15 matches in all competitions.

A question about Ermionida vs Paniliakos?

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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