Match

Missolonghi vs Lefkimmi: result 0-2 and analysis

Gamma Ethniki - Group 5Group 5 - 8Kick-off on May 9, 2021 at 12:00 PM (UTC)Dimotiko Gipedo Menidi, Menidi

Missolonghi
0-2
Lefkimmi

Full time

What was the result of Missolonghi vs Lefkimmi?

Lefkimmi won 0-2 on May 9, 2021.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Missolonghi have 6 wins, 3 draws and 6 defeats; Lefkimmi have 9, 2 and 4.

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

Missolonghi
DateOpponentScoreCompetition
May 5, 2021M. Alexandros Kastorias(home)1-0Gamma Ethniki - Group 5
Apr 28, 2021Thyella Katsikas(away)0-1Gamma Ethniki - Group 5
Apr 25, 2021Preveza(away)0-0Gamma Ethniki - Group 5
Apr 18, 2021Agios Matthaios(home)0-1Gamma Ethniki - Group 5
Apr 11, 2021Anagennisi Artas(away)0-0Gamma Ethniki - Group 5
Lefkimmi
DateOpponentScoreCompetition
Apr 28, 2021Preveza(home)1-0Gamma Ethniki - Group 5
Apr 25, 2021Agios Matthaios(away)1-0Gamma Ethniki - Group 5
Apr 18, 2021Anagennisi Artas(home)3-0Gamma Ethniki - Group 5
Apr 10, 2021M. Alexandros Kastorias(away)0-0Gamma Ethniki - Group 5
Nov 1, 2020Thyella Monastirakiou(home)3-2Gamma Ethniki - Group 5

What does the head-to-head say?

Across the last 2 meetings: 0 Missolonghi wins, 1 draw, 1 Lefkimmi win.

DateScoreCompetition
Feb 2, 2020Lefkimmi 2-1 MissolonghiGamma Ethniki - Group 4
Oct 20, 2019Missolonghi 0-0 LefkimmiGamma Ethniki - Group 4

Last archived meeting: Lefkimmi vs Missolonghi on Feb 2, 2020

How many goals should we expect?

Missolonghi score 1.2 and concede 1.1 goals per match over their last 15; Lefkimmi score 1.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Missolonghi1.21.166/157/15
Lefkimmi1.30.775/157/15

Over the last 15 matches in all competitions.

A question about Missolonghi vs Lefkimmi?

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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