Match

Châteaubriant vs Montpellier: result 0-1 and analysis

Coupe de FranceRound of 16Kick-off on April 7, 2021 at 04:45 PM (UTC)Stade de la Ville en Bois, Châteaubriant

Châteaubriant
0-1
Montpellier

Full time

What was the result of Châteaubriant vs Montpellier?

Montpellier won 0-1 on April 7, 2021.

Goalscorers

  • 61′F. MolletMontpellier

Official lineup for Châteaubriant vs Montpellier

The starting elevens fielded at kick-off.

Châteaubriant

5-4-1
  1. 9S. Soumano
  1. 11I. Touré
  2. 7D. Vernet
  3. 2D. Artu
  4. 6L. Fayolle
  1. 10P. Nunge
  2. 8F. Dafé
  3. 3D. Mukoko
  4. 4F. Gaudiche
  5. 5N. Wandji
  1. 1C. Milon

Montpellier

4-3-3
  1. 3E. Wahi
  2. 11S. Mavididi
  3. 9A. Delort
  1. 10F. Mollet
  2. 6J. Ferri
  3. 8D. Le Tallec
  1. 7M. Ristić
  2. 5Pedro Mendes
  3. 2A. Souquet
  4. 4Hilton
  1. 1D. Bertaud
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Châteaubriant have 9 wins, 4 draws and 2 defeats; Montpellier have 6, 6 and 3.

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

Châteaubriant
DateOpponentScoreCompetition
Mar 7, 2021Romorantin(away)3-1Coupe de France
Feb 21, 2021Les Herbiers(away)1-0Coupe de France
Feb 14, 2021Gonfreville(away)2-0Coupe de France
Feb 7, 2021AG Caennaise(away)1-0Coupe de France
Oct 28, 2020Fleury 91(away)3-2National 2 - Group A
Montpellier
DateOpponentScoreCompetition
Apr 4, 2021Angers(away)1-1Ligue 1
Mar 21, 2021Bordeaux(home)3-1Ligue 1
Mar 14, 2021Nimes(away)1-1Ligue 1
Mar 6, 2021Olympique d'Alès(away)2-1Coupe de France
Mar 3, 2021Lorient(home)1-1Ligue 1

How many goals should we expect?

Châteaubriant score 1.6 and concede 0.7 goals per match over their last 15; Montpellier score 1.5 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Châteaubriant1.60.776/154/15
Montpellier1.51.3212/158/15

Over the last 15 matches in all competitions.

A question about Châteaubriant 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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