Match

Omonia Psevda vs Xylotympou: result 1-1 and analysis

2. DivisionRegular Season - 6Kick-off on October 14, 2020 at 12:30 PM (UTC)Psevdas Arena, Psevdas

Omonia Psevda
1-1
Xylotympou

Full time

What was the result of Omonia Psevda vs Xylotympou?

Omonia Psevda and Xylotympou drew 1-1 on October 14, 2020.

Goalscorers

  • 35′Rubenilson dos Santos da RochaXylotympou
  • 65′Danijel PranjićOmonia Psevda

What is the recent form of both teams?

Over their last 15 matches in all competitions, Omonia Psevda have 3 wins, 0 draws and 12 defeats; Xylotympou have 5, 4 and 6.

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

Omonia Psevda
DateOpponentScoreCompetition
Oct 3, 2020Digenis Morphou(away)0-12. Division
Sep 30, 2020Aris(home)1-22. Division
Sep 26, 2020AE Zakakiou(away)1-02. Division
Sep 20, 2020Krasava Ypsonas(home)3-02. Division
Sep 16, 2020AEL(away)0-5Cup
Xylotympou
DateOpponentScoreCompetition
Oct 4, 2020Aris(away)0-12. Division
Sep 30, 2020Krasava Ypsonas(home)0-02. Division
Sep 26, 2020Anagennisi Deryneia(away)2-12. Division
Sep 23, 2020Olympiakos(away)0-4Cup
Sep 19, 2020Onisilos(home)0-22. Division

What does the head-to-head say?

Across the last 3 meetings: 0 Omonia Psevda wins, 1 draw, 2 Xylotympou wins.

DateScoreCompetition
Feb 15, 2020Omonia Psevda 1-2 Xylotympou2. Division
Jan 26, 2019Xylotympou 1-0 Omonia Psevda3. Division
Sep 30, 2018Omonia Psevda 0-0 Xylotympou3. Division

Last archived meeting: Omonia Psevda vs Xylotympou on Feb 15, 2020

How many goals should we expect?

Omonia Psevda score 1.1 and concede 2.2 goals per match over their last 15; Xylotympou score 0.9 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Omonia Psevda1.12.229/1512/15
Xylotympou0.91.447/156/15

Over the last 15 matches in all competitions.

A question about Omonia Psevda vs Xylotympou?

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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