Match

Romorantin vs Ivry: result 0-0 and analysis

National 2 - Group ARegular Season - 2Kick-off on August 23, 2014 at 05:00 PM (UTC)Stade Jules Ladoumègue

Romorantin
0-0
Ivry

Full time

What was the result of Romorantin vs Ivry?

Romorantin and Ivry drew 0-0 on August 23, 2014.

Official lineup for Romorantin vs Ivry

The starting elevens fielded at kick-off.

Romorantin

  1. 9R. Souyeux
  2. 10J. Girard
  1. 6O. Olou
  2. 7Y. Kibundu
  3. 11M. Serin
  1. 2Tati Rogeiro
  2. 3Vincent Bernardet
  3. 4F. Nicolas
  4. 5Giany Joinville
  5. 8Y. Bourillon
  1. 1Y. Cosson

Ivry

  1. 9J. Farnabe
  1. 7Etienne Pailler
  2. 8S. Mahsas
  3. 10Mickaël Gnahoré
  4. 11Farid Ben Brahim
  1. 2N. Pakombé
  2. 3A. Merel
  3. 4J. Tshimanga
  4. 5Juré Primorac
  5. 6R. Metelus
  1. 1T. Aupic
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Romorantin have 4 wins, 5 draws and 6 defeats; Ivry have 2, 9 and 4.

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

Romorantin
DateOpponentScoreCompetition
Aug 16, 2014Dieppe(away)1-0National 2 - Group A
May 17, 2014Avranches(away)2-2National 2 - Group D
May 10, 2014Cherbourg(home)0-1National 2 - Group D
May 3, 2014Viry Châtillon(away)1-1National 2 - Group D
Apr 26, 2014Trélissac(home)0-1National 2 - Group D
Ivry
DateOpponentScoreCompetition
Aug 16, 2014PSG II(away)0-0National 2 - Group A
May 17, 2014Sannois-St-Gratien(home)1-1National 2 - Group A
May 10, 2014Quevilly(away)1-3National 2 - Group A
Apr 26, 2014Chambly Thelle FC(away)1-1National 2 - Group A
Apr 12, 2014Lens II(home)2-2National 2 - Group A

How many goals should we expect?

Romorantin score 1.1 and concede 1.1 goals per match over their last 15; Ivry score 0.9 and concede 1.3.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Romorantin1.11.128/156/15
Ivry0.91.339/155/15

Over the last 15 matches in all competitions.

A question about Romorantin vs Ivry?

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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