Match

Laval vs Montpellier: result 0-2 and analysis

Coupe de la Ligue16th FinalsKick-off on October 25, 2016 at 04:45 PM (UTC)Stade Francis Le Basser, Laval

Laval
0-2
Montpellier

Full time

What was the result of Laval vs Montpellier?

Montpellier won 0-2 on October 25, 2016.

Goalscorers

  • 6′S. MouniéMontpellier
  • 48′Kévin BérigaudMontpellier

Official lineup for Laval vs Montpellier

The starting elevens fielded at kick-off.

Laval

4-1-4-1
  1. 9Clarck N'Sikulu
  1. 23Gabriel Etinof
  2. 24M. Dembélé
  3. 19A. N'Diaye
  4. 18Hassane Alla
  1. 20N. Mukiele
  1. 4A. Appindangoyé
  2. 8A. Monfray
  3. 12K. Afougou
  4. 2K. Perrot
  1. 1M. Hautbois

Montpellier

4-2-3-1
  1. 15S. Mounié
  1. 11Kévin Bérigaud
  2. 19S. Camara
  3. 7P. Lasne
  1. 10R. Boudebouz
  2. 6Joris Marveaux
  1. 33M. Poaty
  2. 18N. Saint-Ruf
  3. 25Mathieu Deplagne
  4. 4Hilton
  1. 1Laurent Pionnier
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Laval have 3 wins, 6 draws and 6 defeats; Montpellier have 6, 4 and 5.

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

Laval
DateOpponentScoreCompetition
Oct 21, 2016Stade Brestois 29(home)0-1Ligue 2
Oct 14, 2016Auxerre(away)0-2Ligue 2
Sep 30, 2016Clermont Foot(home)1-1Ligue 2
Sep 23, 2016Bourg-en-bresse 01(away)0-0Ligue 2
Sep 20, 2016Sochaux(home)1-1Ligue 2
Montpellier
DateOpponentScoreCompetition
Oct 21, 2016Monaco(away)2-6Ligue 1
Oct 15, 2016Caen(home)3-2Ligue 1
Oct 1, 2016Dijon(away)3-3Ligue 1
Sep 24, 2016Metz(home)0-1Ligue 1
Sep 21, 2016Lyon(away)1-5Ligue 1

How many goals should we expect?

Laval score 0.7 and concede 0.9 goals per match over their last 15; Montpellier score 1.7 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Laval0.70.945/152/15
Montpellier1.71.9310/157/15

Over the last 15 matches in all competitions.

A question about Laval vs Montpellier?

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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