Match

CF Gandía vs Patacona: result 1-0 and analysis

Tercera División RFEF - Group 6Group 6 - 28Kick-off on April 6, 2024 at 03:00 PM (UTC)Estadio Guillermo Olagüe, Gandía

CF Gandía
1-0
Patacona

Full time

What was the result of CF Gandía vs Patacona?

CF Gandía won 1-0 on April 6, 2024.

Goalscorers

  • 62′Jordi LópezCF Gandía

What is the recent form of both teams?

Over their last 15 matches in all competitions, CF Gandía have 6 wins, 4 draws and 5 defeats; Patacona have 5, 3 and 7.

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

CF Gandía
DateOpponentScoreCompetition
Mar 30, 2024Jove Español(away)3-4Tercera División RFEF - Group 6
Mar 23, 2024Villarreal III(home)1-0Tercera División RFEF - Group 6
Mar 15, 2024Soneja(home)0-0Tercera División RFEF - Group 6
Mar 8, 2024Castellón II(away)1-3Tercera División RFEF - Group 6
Mar 3, 2024Acero(home)0-0Tercera División RFEF - Group 6
Patacona
DateOpponentScoreCompetition
Mar 31, 2024Soneja(home)1-1Tercera División RFEF - Group 6
Mar 27, 2024Silla(away)4-3Tercera División RFEF - Group 6
Mar 24, 2024Castellón II(away)4-1Tercera División RFEF - Group 6
Mar 16, 2024Acero(home)3-2Tercera División RFEF - Group 6
Mar 9, 2024Roda(away)0-2Tercera División RFEF - Group 6

What does the head-to-head say?

Across the last 3 meetings: 0 CF Gandía win(s), 1 draw(s), 2 Patacona win(s).

DateScoreCompetition
Nov 19, 2023Patacona 2-0 CF GandíaTercera División RFEF - Group 6
Jan 28, 2023CF Gandía 0-0 PataconaTercera División RFEF - Group 6
Sep 24, 2022Patacona 1-0 CF GandíaTercera División RFEF - Group 6

Last archived meeting: Patacona vs CF Gandía on Nov 19, 2023

How many goals should we expect?

CF Gandía score 1.3 and concede 1.4 goals per match over their last 15; Patacona score 1.4 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CF Gandía1.31.4310/159/15
Patacona1.41.7110/159/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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