Match

Patacona vs CF Gandía: result 1-0 and analysis

Tercera División RFEF - Group 6Group 6 - 3Kick-off on September 24, 2022 at 02:30 PM (UTC)Campo Municipal de la Patacona, Alboraya

Patacona
1-0
CF Gandía

Full time

What was the result of Patacona vs CF Gandía?

Patacona won 1-0 on September 24, 2022.

Goalscorers

  • 76′Diego ClimentPatacona

Official lineup for Patacona vs CF Gandía

The starting elevens fielded at kick-off.

Patacona

  1. AAlberto Germán
  2. GGerardo Reyes
  3. HHugo Rodríguez
  1. DDiego Climent
  2. BBurri
  3. PPau Lapiedra
  4. SSergio Soler
  5. AAngel Climent
  1. PPablo Sánchez-Beato
  2. NNacho Vila
  1. JJuanan

CF Gandía

  1. PPablo Morgado
  1. MMauro Melo
  2. JJosé Carlos
  3. JJ. Winstanley
  4. GGorxa
  1. JJuanma García
  2. MMauro Lucero
  3. ÁÁlvaro Escobar
  4. OOscar Bertó
  5. VVictor Sánchez
  1. VVicente Company
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Patacona have 0 wins, 1 draw and 1 defeat; CF Gandía have 1, 0 and 2.

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

Patacona
DateOpponentScoreCompetition
Sep 17, 2022Levante II(home)0-1Tercera División RFEF - Group 6
Sep 11, 2022Castellón II(away)1-1Tercera División RFEF - Group 6
CF Gandía
DateOpponentScoreCompetition
Sep 18, 2022Castellón II(home)2-0Tercera División RFEF - Group 6
Sep 10, 2022Rayo Ibense(away)0-2Tercera División RFEF - Group 6
Aug 9, 2022La Nucía(away)0-3Friendlies Clubs

How many goals should we expect?

Patacona score 0.5 and concede 1.0 goals per match over their last 2; CF Gandía score 0.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Patacona0.51.001/20/2
CF Gandía0.71.710/31/3

Over the last 2 matches in all competitions.

A question about Patacona vs CF Gandía?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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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