Match

Limonest vs Dijon: result 1-2 and analysis

Coupe de France8th FinalsKick-off on January 28, 2020 at 05:30 PM (UTC)Stade Courtois Fillot, Limonest

Limonest
1-2
Dijon

Full time

What was the result of Limonest vs Dijon?

Dijon won 1-2 on January 28, 2020.

Goalscorers

  • 49′A. BouzitLimonest
  • 54′J. CádizDijon
  • 120′S. MavididiDijon

Official lineup for Limonest vs Dijon

The starting elevens fielded at kick-off.

Limonest

4-4-2
  1. 11A. Prault
  2. 10E. Rouvière
  1. 9Serge Simon
  2. 8A. Bouzit
  3. 7Q. Canales
  4. 6T. Lardière
  1. 5C. Leurent
  2. 4T. Kayombo
  3. 3N. Tanard
  4. 2T. Garcin
  1. 1Lorry Levionnois

Dijon

4-2-3-1
  1. 11J. Cádiz
  1. 9B. Soumaré
  2. 7F. Sammaritano
  3. 6R. Amalfitano
  1. 10F. Balmont
  2. 8J. Marié
  1. 3H. Mendyl
  2. 4W. Lautoa
  3. 5S. Coulibaly
  4. 2A. Ngouyamsa
  1. 1R. Rúnarsson
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Limonest have 9 wins, 5 draws and 1 defeat; Dijon have 5, 4 and 6.

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

Limonest
DateOpponentScoreCompetition
Jan 25, 2020Montluçon(away)1-1National 3 - Group M
Jan 18, 2020Prix-lès-Mézières(away)1-0Coupe de France
Jan 5, 2020Le Puy Foot(home)1-1Coupe de France
Dec 14, 2019Lyon Duchère II(away)0-0National 3 - Group M
Dec 7, 2019Villefranche(home)2-1Coupe de France
Dijon
DateOpponentScoreCompetition
Jan 25, 2020Montpellier(away)1-2Ligue 1
Jan 19, 2020Nimes(home)5-0Coupe de France
Jan 12, 2020Lille(home)1-0Ligue 1
Jan 5, 2020Valenciennes(away)2-1Coupe de France
Dec 21, 2019Metz(home)2-2Ligue 1

How many goals should we expect?

Limonest score 1.8 and concede 0.8 goals per match over their last 15; Dijon score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Limonest1.80.869/158/15
Dijon1.21.137/157/15

Over the last 15 matches in all competitions.

A question about Limonest 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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