Match

Zenit vs Monaco: result 0-0 and analysis

UEFA Champions LeagueGroup stage - 2Kick-off on October 1, 2014 at 04:00 PM (UTC)Gazprom Arena, St. Petersburg

Zenit
0-0
Monaco

Full time

What was the result of Zenit vs Monaco?

Zenit and Monaco drew 0-0 on October 1, 2014.

Official lineup for Zenit vs Monaco

The starting elevens fielded at kick-off.

Zenit

  1. 7Hulk
  2. 23S. Rondón
  1. 17O. Shatov
  2. 20Viktor Faizulin
  3. 21Francisco Javier García Fernández
  4. 35Danny
  1. 2A. Anyukov
  2. 4D. Criscito
  3. 6N. Lombaerts
  4. 24E. Garay
  1. 1Y. Lodygin

Monaco

  1. 7N. Dirar
  2. 9Dimitar Ivanov Berbatov
  1. 2Fabinho
  2. 8João Moutinho
  3. 11L. Ocampos
  4. 22G. Kondogbia
  5. 28Jérémy Toulalan
  1. 3L. Kurzawa
  2. 6Ricardo Carvalho
  3. 24Andrea Raggi
  1. 1D. Subašić
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Zenit have 8 wins, 3 draws and 4 defeats; Monaco have 7, 3 and 5.

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

Zenit
DateOpponentScoreCompetition
Sep 16, 2014Benfica(away)2-0UEFA Champions League
Aug 26, 2014Standard Liege(home)3-0UEFA Champions League
Aug 20, 2014Standard Liege(away)1-0UEFA Champions League
Aug 6, 2014AEL(home)3-0UEFA Champions League
Jul 30, 2014AEL(away)0-1UEFA Champions League
Monaco
DateOpponentScoreCompetition
Sep 27, 2014Nice(home)0-1Ligue 1
Sep 24, 2014Montpellier(away)1-0Ligue 1
Sep 21, 2014Guingamp(home)1-0Ligue 1
Sep 16, 2014Bayer Leverkusen(home)1-0UEFA Champions League
Sep 12, 2014Lyon(away)1-2Ligue 1

How many goals should we expect?

Zenit score 1.7 and concede 1.2 goals per match over their last 15; Monaco score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Zenit1.71.268/158/15
Monaco1.21.159/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
21Monaco824281410

A question about Zenit vs Monaco?

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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