Match

Sants vs Manresa: result 1-0 and analysis

Tercera División RFEF - Group 5Group 5 - 3Kick-off on September 11, 2019 at 10:15 AM (UTC)Camp de Futbol Energia, Barcelona

Sants
1-0
Manresa

Full time

What was the result of Sants vs Manresa?

Sants won 1-0 on September 11, 2019.

Goalscorers

  • 88′Josele AvellanedaSants

Official lineup for Sants vs Manresa

The starting elevens fielded at kick-off.

Sants

  1. JJosele Avellaneda
  2. GGuillermo Torres
  3. FFrancesc Avilés Baixeras
  1. JJuli Berenguer Crusellas
  2. CCristian Mulero Martínez
  3. AAleix Lage
  1. SSergi Casals
  2. RRaúl Martín Barba
  3. AAlberto Manuel Gómez López
  4. DDavid Cura
  1. IIgnacio Berché Ferrer

Manresa

  1. DDani Ruiz
  2. JJoan Figols Cruet
  3. DDavid Sánchez Arbós
  1. WWalter Fernández Balufo
  2. BBernat Benito
  1. EErik Sarmiento Martínez
  2. JJonathan Vinasco Lopez
  3. SSergi Solernou Martínez
  4. FFlorent
  5. MMarc Cuello
  1. PPol Busquets
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Sants have 1 win, 0 draws and 1 defeat; Manresa have 1, 0 and 1.

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

Sants
DateOpponentScoreCompetition
Sep 7, 2019San Cristóbal(away)1-2Tercera División RFEF - Group 5
Sep 1, 2019Peralada(home)4-2Tercera División RFEF - Group 5
Manresa
DateOpponentScoreCompetition
Sep 8, 2019Cerdanyola del Vallès(home)0-1Tercera División RFEF - Group 5
Sep 1, 2019Figueres(away)2-0Tercera División RFEF - Group 5

How many goals should we expect?

Sants score 2.5 and concede 2.0 goals per match over their last 2; Manresa score 1.0 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sants2.52.002/22/2
Manresa1.00.510/20/2

Over the last 2 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
1Manresa341996553266

A question about Sants vs Manresa?

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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