Match

Ermionida vs Diavolitsi: result 3-1 and analysis

Gamma Ethniki - Group 4Group 4 - 19Kick-off on March 15, 2023 at 01:00 PM (UTC)Gipedo Kranidis, Kranidi

Ermionida
3-1
Diavolitsi

Full time

What was the result of Ermionida vs Diavolitsi?

Ermionida won 3-1 on March 15, 2023.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Ermionida have 6 wins, 2 draws and 7 defeats; Diavolitsi have 2, 5 and 8.

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

Ermionida
DateOpponentScoreCompetition
Mar 11, 2023Panargiakos(away)0-2Gamma Ethniki - Group 4
Mar 5, 2023AE Mykonos(home)1-2Gamma Ethniki - Group 4
Feb 26, 2023Ialysos(away)0-1Gamma Ethniki - Group 4
Feb 19, 2023Pangytheatikos(home)3-0Gamma Ethniki - Group 4
Feb 12, 2023Panionios(away)1-4Gamma Ethniki - Group 4
Diavolitsi
DateOpponentScoreCompetition
Mar 11, 2023AE Mykonos(away)0-0Gamma Ethniki - Group 4
Mar 5, 2023Pangytheatikos(home)1-1Gamma Ethniki - Group 4
Feb 26, 2023Paniliakos(away)0-1Gamma Ethniki - Group 4
Feb 19, 2023Foinikas N. Epidavrou(home)2-1Gamma Ethniki - Group 4
Feb 12, 2023Rodos(away)0-3Gamma Ethniki - Group 4

What does the head-to-head say?

Across the last 3 meetings: 1 Ermionida win, 1 draw, 1 Diavolitsi win.

DateScoreCompetition
Dec 17, 2022Diavolitsi 0-0 ErmionidaGamma Ethniki - Group 4
Feb 29, 2020Ermionida 1-0 DiavolitsiGamma Ethniki - Group 7
Nov 16, 2019Diavolitsi 1-0 ErmionidaGamma Ethniki - Group 7

Last archived meeting: Diavolitsi vs Ermionida on Dec 17, 2022

How many goals should we expect?

Ermionida score 1.3 and concede 1.4 goals per match over their last 15; Diavolitsi score 0.6 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ermionida1.31.456/157/15
Diavolitsi0.61.555/158/15

Over the last 15 matches in all competitions.

A question about Ermionida vs Diavolitsi?

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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