Match

Monaco vs Dijon: result 1-1 and analysis

Ligue 2Regular Season - 7Kick-off on September 14, 2012 at 04:45 PM (UTC)Stade Louis-II, Monaco

Monaco
1-1
Dijon

Full time

What was the result of Monaco vs Dijon?

Monaco and Dijon drew 1-1 on September 14, 2012.

Goalscorers

  • 74′B. JovialDijon
  • 82′Y. CarrascoMonaco

Official lineup for Monaco vs Dijon

The starting elevens fielded at kick-off.

Monaco

  1. 7N. Dirar
  2. 11Ibrahima Touré
  3. 18V. Germain
  1. 6S. Dumont
  2. 8D. N’Dinga
  3. 17Y. Carrasco
  1. 12Adriano Pereira
  2. 21G. Kagelmacher
  3. 24Andrea Raggi
  4. 26Éric Marester
  1. 1D. Subašić

Dijon

  1. 9B. Jovial
  2. 24Júlio Tavares
  1. 7F. Berenguer-Bohrer
  2. 23S. Baradji
  3. 26L. Malouda
  4. 28F. Mollet
  1. 4W. Rémy
  2. 13Pape Abdou Paye
  3. 19S. Souprayen
  4. 27C. Varrault
  1. 30B. Reynet
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Monaco have 9 wins, 2 draws and 4 defeats; Dijon have 4, 5 and 6.

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

Monaco
DateOpponentScoreCompetition
Aug 31, 2012Le Havre(away)1-2Ligue 2
Aug 28, 2012Niort(away)2-1Coupe de la Ligue
Aug 24, 2012Arles(home)3-0Ligue 2
Aug 18, 2012Guingamp(away)2-1Ligue 2
Aug 10, 2012Istres(home)3-2Ligue 2
Dijon
DateOpponentScoreCompetition
Aug 31, 2012Gazelec FC Ajaccio(home)2-1Ligue 2
Aug 28, 2012Auxerre(away)1-2Coupe de la Ligue
Aug 25, 2012Le Havre(home)2-2Ligue 2
Aug 17, 2012Lens(away)1-1Ligue 2
Aug 10, 2012Tours(home)1-0Ligue 2

How many goals should we expect?

Monaco score 1.7 and concede 1.1 goals per match over their last 15; Dijon score 1.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Monaco1.71.157/159/15
Dijon1.01.537/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
7Dijon8332141212

A question about Monaco vs Dijon?

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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