Match

Monaco vs Qarabag: result 1-0 and analysis

UEFA Europa LeagueGroup Stage - 3Kick-off on October 22, 2015 at 05:00 PM (UTC)Stade Louis-II, Monaco

Monaco
1-0
Qarabag

Full time

What was the result of Monaco vs Qarabag?

Monaco won 1-0 on October 22, 2015.

Goalscorers

  • 70′Lacina Emeghara TraoréMonaco

Official lineup for Monaco vs Qarabag

The starting elevens fielded at kick-off.

Monaco

  1. 19Lacina Emeghara Traoré
  2. 22S. El Shaarawy
  1. 2Fabinho
  2. 8João Moutinho
  3. 10Bernardo Silva
  4. 27T. Lemar
  1. 6Ricardo Carvalho
  2. 13Wallace
  3. 24Andrea Raggi
  4. 28Jérémy Toulalan
  1. 1D. Subašić

Qarabag

  1. 22Ə. İsmayılov
  2. 90S. Armenteros
  1. 2Q. Qarayev
  2. 10Dani Quintana
  3. 20R. Almeyda
  4. 67A. El Jadeyaoui
  1. 5M. Medvedev
  2. 14Rəşad Fərhad oğlu Sadıqov
  3. 25Ansi Agolli
  4. 55B. Hüseynov
  1. 13I. Šehić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Monaco have 5 wins, 7 draws and 3 defeats; Qarabag have 10, 3 and 2.

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

Monaco
DateOpponentScoreCompetition
Oct 16, 2015Lyon(home)1-1Ligue 1
Oct 4, 2015Rennes(home)1-1Ligue 1
Oct 1, 2015Tottenham(home)1-1UEFA Europa League
Sep 27, 2015Guingamp(away)3-3Ligue 1
Sep 24, 2015Montpellier(away)3-2Ligue 1
Qarabag
DateOpponentScoreCompetition
Oct 17, 2015Zira(home)4-1Premyer Liqa
Oct 4, 2015İnter Bakı(away)2-0Premyer Liqa
Oct 1, 2015Anderlecht(home)1-0UEFA Europa League
Sep 26, 2015Neftchi Baku(home)1-1Premyer Liqa
Sep 20, 2015Kapaz(away)3-2Premyer Liqa

How many goals should we expect?

Monaco score 1.5 and concede 1.4 goals per match over their last 15; Qarabag score 1.6 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monaco1.51.4311/158/15
Qarabag1.60.786/156/15

Over the last 15 matches in all competitions.

A question about Monaco vs Qarabag?

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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