Match

Laval vs Monaco: result 1-0 and analysis

Ligue 2Regular Season - 9Kick-off on September 23, 2011 at 06:00 PM (UTC)Stade Francis Le Basser, Laval

Laval
1-0
Monaco

Full time

What was the result of Laval vs Monaco?

Laval won 1-0 on September 23, 2011.

Goalscorers

  • 82′L. GamboaLaval

Official lineup for Laval vs Monaco

The starting elevens fielded at kick-off.

Laval

  1. 9Lhadji Badiane
  2. 14Ghislain Gimbert
  1. 10Jérôme Lebouc
  2. 11L. Gamboa
  1. 6A. Gonçalves
  2. 7G. Belaud
  3. 19P. Talmont
  4. 23F. Signorino
  5. 27A. Losilla
  6. 28L. Rose
  1. 16A. Balijon

Monaco

  1. 17T. Makengo
  2. 18V. Germain
  1. 9Marama Vahirua
  2. 24N. Mendy
  3. 25V. Eysseric
  1. 2D. Appiah
  2. 4R. Afolabi
  3. 5G. Coulibaly
  4. 13Petter Hansson
  5. 26Éric Marester
  1. 30Johann Carrasso
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Laval have 4 wins, 5 draws and 6 defeats; Monaco have 2, 8 and 5.

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

Laval
DateOpponentScoreCompetition
Sep 20, 2011Amiens(away)0-1Ligue 2
Sep 16, 2011Reims(home)3-2Ligue 2
Sep 9, 2011Metz(away)2-2Ligue 2
Aug 26, 2011Estac Troyes(home)0-0Ligue 2
Aug 19, 2011Istres(away)2-1Ligue 2
Monaco
DateOpponentScoreCompetition
Sep 19, 2011Arles(home)1-0Ligue 2
Sep 16, 2011Bastia(away)1-1Ligue 2
Sep 9, 2011Angers(home)1-3Ligue 2
Aug 29, 2011Lens(away)2-2Ligue 2
Aug 19, 2011Amiens(home)1-1Ligue 2

How many goals should we expect?

Laval score 1.2 and concede 1.7 goals per match over their last 15; Monaco score 0.9 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Laval1.21.729/159/15
Monaco0.91.5310/155/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
18Laval812510175

A question about Laval 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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