Match

CSKA Moscow vs Espanyol: result 0-2 and analysis

UEFA Europa LeagueGroup Stage - 2Kick-off on October 3, 2019 at 04:55 PM (UTC)VEB Arena, Moskva

CSKA Moscow
0-2
Espanyol

Full time

What was the result of CSKA Moscow vs Espanyol?

Espanyol won 0-2 on October 3, 2019.

Goalscorers

  • 64′Wu LeiEspanyol
  • 90′Víctor CampuzanoEspanyol

Official lineup for CSKA Moscow vs Espanyol

The starting elevens fielded at kick-off.

CSKA Moscow

3-1-4-2
  1. 9F. Chalov
  2. 20K. Kuchaev
  1. 17A. Sigurðsson
  2. 25K. Bistrović
  3. 7I. Akhmetov
  4. 8N. Vlašić
  1. 78I. Diveev
  1. 31Z. Šarlija
  2. 23H. Magnússon
  3. 2M. Fernandes
  1. 35I. Akinfeev

Espanyol

4-3-3
  1. 12J. Calleri
  2. 7Wu Lei
  3. 22M. Vargas
  1. 21Marc Roca
  2. 4Víctor Sánchez Mata
  3. 23Esteban Félix Granero Molina
  1. 24Fernando Calero
  2. 3Adrià Pedrosa
  3. 15David López
  4. 18S. Corchia
  1. 13Diego López
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What is the recent form of both teams?

Over their last 15 matches in all competitions, CSKA Moscow have 11 wins, 1 draw and 3 defeats; Espanyol have 7, 4 and 4.

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

CSKA Moscow
DateOpponentScoreCompetition
Sep 29, 2019Ural(away)3-0Premier League
Sep 25, 2019Alaniya II(away)3-1Cup
Sep 22, 2019FC Krasnodar(home)3-2Premier League
Sep 19, 2019Ludogorets(away)1-5UEFA Europa League
Sep 15, 2019Tambov(away)2-0Premier League
Espanyol
DateOpponentScoreCompetition
Sep 29, 2019Valladolid(home)0-2La Liga
Sep 26, 2019Celta Vigo(away)1-1La Liga
Sep 22, 2019Real Sociedad(home)1-3La Liga
Sep 19, 2019Ferencvarosi TC(home)1-1UEFA Europa League
Sep 15, 2019Eibar(away)2-1La Liga

How many goals should we expect?

CSKA Moscow score 1.9 and concede 0.9 goals per match over their last 15; Espanyol score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
CSKA Moscow1.90.986/159/15
Espanyol1.71.157/159/15

Over the last 15 matches in all competitions.

A question about CSKA Moscow vs Espanyol?

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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