Match

Alcorcon vs Reus: result 1-0 and analysis

Segunda DivisiónRegular Season - 14Kick-off on November 12, 2016 at 05:00 PM (UTC)Estadio Santo Domingo, Alcorcón

Alcorcon
1-0
Reus

Full time

What was the result of Alcorcon vs Reus?

Alcorcon won 1-0 on November 12, 2016.

Goalscorers

  • 69′Pablo PérezAlcorcon

Official lineup for Alcorcon vs Reus

The starting elevens fielded at kick-off.

Alcorcon

4-2-3-1
  1. 7David Rodríguez
  1. 10Pablo Pérez
  2. 19Carlos Martín Luque
  3. 6Daniel Toribio
  1. 21Óscar Plano
  2. 12Víctor Pérez
  1. 4Rafa Páez
  2. 2F. Vega
  3. 16Carlos Bellvís Llorens
  4. 3David Navarro Pedrós
  1. 1M. Dmitrović

Reus

4-2-3-1
  1. 11Fran Carbià
  1. 21Máyor
  2. 8Ramón Folch
  3. 20J. Diaz
  1. 24Miramón
  2. 22Aritz López Garai
  1. 5S. Babić
  2. 2Alberto Benito
  3. 3Ángel Martínez
  4. 18Pichu Atienza
  1. 13Edgar Badia
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Alcorcon have 3 wins, 4 draws and 6 defeats; Reus have 5, 5 and 3.

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

Alcorcon
DateOpponentScoreCompetition
Nov 6, 2016Getafe(away)0-1Segunda División
Oct 30, 2016Mirandes(home)1-0Segunda División
Oct 23, 2016Mallorca(away)0-1Segunda División
Oct 15, 2016Almeria(home)0-0Segunda División
Oct 8, 2016Valladolid(away)0-2Segunda División
Reus
DateOpponentScoreCompetition
Nov 6, 2016Levante(home)0-1Segunda División
Oct 29, 2016Huesca(away)1-2Segunda División
Oct 22, 2016Lugo(home)2-1Segunda División
Oct 16, 2016Ucam Murcia(away)2-0Segunda División
Oct 8, 2016Tenerife(home)0-0Segunda División

How many goals should we expect?

Alcorcon score 0.4 and concede 0.8 goals per match over their last 13; Reus score 0.9 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Alcorcon0.40.852/130/13
Reus0.90.756/132/13

Over the last 13 matches in all competitions.

A question about Alcorcon vs Reus?

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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