Match

Poissy vs Romorantin: result 2-0 and analysis

National 2 - Group AGroup A - 1Kick-off on August 7, 2021 at 04:00 PM (UTC)Stade Léo Lagrange, Poissy

Poissy
2-0
Romorantin

Full time

What was the result of Poissy vs Romorantin?

Poissy won 2-0 on August 7, 2021.

Goalscorers

  • 16′C. TouréPoissy
  • 60′J. PalharesPoissy

Official lineup for Poissy vs Romorantin

The starting elevens fielded at kick-off.

Poissy

  1. 10C. Touré
  1. 4C. Chantôme
  2. 8S. Dembélé
  3. 15M. Rouane
  4. 18O. Gassama
  5. 19J. Palhares
  6. 24K. Sylva
  1. 6Franck Betehé
  2. 13L. Konté
  3. 14T. Skolski
  1. 1O. Soumaré

Romorantin

  1. 9L. Leonil
  2. 11Y. Ouhammou
  1. 6J. Gérard
  2. 10Y. Pivaty
  1. 2M. Lomonnier
  2. 3P. Mendy
  3. 4A. Castro
  4. 5A. Gaye
  5. 7A. Vacheron
  6. 8G. Adjet
  1. 1Y. Djidonou
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Poissy have 2 wins, 5 draws and 8 defeats; Romorantin have 7, 3 and 5.

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

Poissy
DateOpponentScoreCompetition
Oct 24, 2020Sainte Geneviève(home)1-2National 2 - Group A
Oct 10, 2020Stade Plabennec(away)3-4National 2 - Group A
Oct 7, 2020Châteaubriant(away)0-2National 2 - Group A
Sep 26, 2020Vannes(home)0-2National 2 - Group A
Sep 12, 2020Granville(home)1-2National 2 - Group A
Romorantin
DateOpponentScoreCompetition
Mar 7, 2021Châteaubriant(home)1-3Coupe de France
Feb 25, 2021Mtsapere(home)2-0Coupe de France
Feb 13, 2021Orleans(away)1-1Coupe de France
Feb 7, 2021Tours(home)1-0Coupe de France
Oct 22, 2020Angoulême(away)0-0National 2 - Group D

How many goals should we expect?

Poissy score 1.1 and concede 1.5 goals per match over their last 15; Romorantin score 1.2 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Poissy1.11.538/156/15
Romorantin1.20.774/154/15

Over the last 15 matches in all competitions.

A question about Poissy vs Romorantin?

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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