Match

Romorantin vs Sedan: result 0-1 and analysis

National 2 - Group ARegular Season - 8Kick-off on October 18, 2014 at 05:00 PM (UTC)Stade Jules Ladoumègue

Romorantin
0-1
Sedan

Full time

What was the result of Romorantin vs Sedan?

Sedan won 0-1 on October 18, 2014.

Goalscorers

  • 69′R. ArmandSedan

Official lineup for Romorantin vs Sedan

The starting elevens fielded at kick-off.

Romorantin

  1. 9R. Souyeux
  2. 10J. Girard
  1. 6M. Sanchez
  2. 7Y. Kibundu
  3. 11M. Serin
  1. 2C. Jean-Etienne
  2. 3Vincent Bernardet
  3. 4F. Nicolas
  4. 5Giany Joinville
  5. 8Y. Bourillon
  1. 1Y. Cosson

Sedan

  1. 5D. Dufour
  2. 9K. Goba
  3. 10R. Armand
  1. 6V. Durand
  2. 7Benoît Leroy
  3. 8B. Anziani
  4. 11J. Rocchi
  1. 2C. Simothé
  2. 3Olivier Vasseur
  3. 4R. Camacho
  1. 1Willy Maeyens
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Romorantin have 4 wins, 6 draws and 5 defeats; Sedan have 8, 3 and 4.

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

Romorantin
DateOpponentScoreCompetition
Oct 4, 2014Mantes 78(away)4-2National 2 - Group A
Sep 20, 2014Calais(home)0-0National 2 - Group A
Sep 13, 2014Beauvais(away)2-1National 2 - Group A
Sep 6, 2014Sannois-St-Gratien(home)3-2National 2 - Group A
Aug 30, 2014Croix Football IC(away)0-1National 2 - Group A
Sedan
DateOpponentScoreCompetition
Oct 4, 2014Calais(away)3-1National 2 - Group A
Sep 20, 2014Sannois-St-Gratien(home)2-0National 2 - Group A
Sep 13, 2014Ivry(away)4-1National 2 - Group A
Sep 6, 2014PSG II(home)4-1National 2 - Group A
Aug 30, 2014Quevilly(away)1-0National 2 - Group A

How many goals should we expect?

Romorantin score 1.0 and concede 1.0 goals per match over their last 15; Sedan score 1.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Romorantin1.01.046/155/15
Sedan1.91.3310/158/15

Over the last 15 matches in all competitions.

A question about Romorantin vs Sedan?

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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