Match

Ucam Murcia vs Reus: result 0-2 and analysis

Segunda DivisiónRegular Season - 10Kick-off on October 16, 2016 at 04:00 PM (UTC)Estadio BeSoccer La Condomina, Murcia

Ucam Murcia
0-2
Reus

Full time

What was the result of Ucam Murcia vs Reus?

Reus won 0-2 on October 16, 2016.

Goalscorers

  • 2′Fran CarbiàReus
  • 16′Fran CarbiàReus

Official lineup for Ucam Murcia vs Reus

The starting elevens fielded at kick-off.

Ucam Murcia

4-2-3-1
  1. 7J. Mejía
  1. 23Vicente Pérez Madrid
  2. 19Natalio
  3. 24Tito
  1. 11Nono
  2. 22Juande
  1. 2Tekio
  2. 3Juan Góngora
  3. 16Unai Albizua
  4. 4Hugo Álvarez Quintas
  1. 1Biel Ribas

Reus

4-2-3-1
  1. 10Ricardo Vaz
  1. 11Fran Carbià
  2. 21Máyor
  3. 8Ramón Folch
  1. 23Migue García
  2. 24Miramón
  1. 19Alexander Albístegui Revilla
  2. 2Alberto Benito
  3. 18Pichu Atienza
  4. 15Juan Alberto Andreu Alvarado
  1. 13Edgar Badia
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What is the recent form of both teams?

Over their last 9 matches in all competitions, Ucam Murcia have 2 wins, 5 draws and 2 defeats; Reus have 3, 5 and 1.

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

Ucam Murcia
DateOpponentScoreCompetition
Oct 8, 2016Getafe(away)0-2Segunda División
Oct 2, 2016Mirandes(home)2-2Segunda División
Sep 25, 2016Mallorca(away)0-0Segunda División
Sep 21, 2016Almeria(home)4-0Segunda División
Sep 17, 2016Valladolid(away)1-0Segunda División
Reus
DateOpponentScoreCompetition
Oct 8, 2016Tenerife(home)0-0Segunda División
Oct 2, 2016Girona(away)0-1Segunda División
Sep 25, 2016Rayo Vallecano(home)1-1Segunda División
Sep 22, 2016Oviedo(away)1-0Segunda División
Sep 17, 2016Cadiz(home)1-0Segunda División

How many goals should we expect?

Ucam Murcia score 1.2 and concede 1.1 goals per match over their last 9; Reus score 0.8 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ucam Murcia1.21.135/93/9
Reus0.80.644/90/9

Over the last 9 matches in all competitions.

A question about Ucam Murcia 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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