Match

Reus vs Rayo Majadahonda: result 2-1 and analysis

Segunda DivisiónRegular Season - 10Kick-off on October 21, 2018 at 04:00 PM (UTC)Estadio Camp Nou Municipal, Reus

Reus
2-1
Rayo Majadahonda

Full time

What was the result of Reus vs Rayo Majadahonda?

Reus won 2-1 on October 21, 2018.

Goalscorers

  • 48′Edgar BadiaRayo Majadahonda (o.g.)
  • 50′CatenaReus
  • 86′Juan DomínguezReus

Official lineup for Reus vs Rayo Majadahonda

The starting elevens fielded at kick-off.

Reus

5-3-2
  1. 9Miguel Linares
  2. 27Alfred Planas
  1. 20Gus Ledes
  2. 23Mario Ortiz
  3. 21Juan Domínguez
  1. 28Gonzalo Pereira
  2. 30Adrián Guerrero
  3. 5Catena
  4. 2Ángel Bastos
  5. 4Jesús Olmo Lozano
  1. 13Edgar Badia

Rayo Majadahonda

4-4-2
  1. 19Aitor Ruibal
  2. 8F. Varela
  1. 6Óscar Valentín
  2. 7E. Zidane
  3. 20Aitor García
  4. 23Luso
  1. 12José Antonio García Rabasco
  2. 3David Morillas
  3. 14Ernesto Galán Iñigo
  4. 15Rafa
  1. 1Basilio
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Reus have 3 wins, 4 draws and 8 defeats; Rayo Majadahonda have 5, 1 and 5.

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

Reus
DateOpponentScoreCompetition
Oct 18, 2018Almeria(away)1-3Copa del Rey
Oct 13, 2018Sporting Gijon(away)1-1Segunda División
Oct 7, 2018Granada CF(home)1-2Segunda División
Sep 30, 2018Almeria(away)0-2Segunda División
Sep 23, 2018Gimnastic(home)1-1Segunda División
Rayo Majadahonda
DateOpponentScoreCompetition
Oct 18, 2018Sporting Gijon(home)2-2Copa del Rey
Oct 14, 2018Oviedo(home)1-0Segunda División
Oct 8, 2018Sporting Gijon(home)2-1Segunda División
Sep 30, 2018Malaga(away)0-1Segunda División
Sep 22, 2018Extremadura(home)1-4Segunda División

How many goals should we expect?

Reus score 0.8 and concede 1.4 goals per match over their last 15; Rayo Majadahonda score 1.0 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Reus0.81.438/156/15
Rayo Majadahonda1.01.435/116/11

Over the last 15 matches in all competitions.

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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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