Match

Vimy vs Le Portel: result 1-0 and analysis

National 3 - Group IGroup I - 6Kick-off on October 6, 2019 at 01:00 PM (UTC)Stade De La Mine 1, Vimy

Vimy
1-0
Le Portel

Full time

What was the result of Vimy vs Le Portel?

Vimy won 1-0 on October 6, 2019.

Goalscorers

  • 53′J. KostrzewaVimy

Official lineup for Vimy vs Le Portel

The starting elevens fielded at kick-off.

Vimy

  1. 9H. Mayombo
  2. 10J. Kostrzewa
  3. 11G. Ambroise
  1. 5J. Christophe
  2. 6Meedy Belmir
  3. 7A. Abeddou
  4. 8M. Ouattara
  1. 2A. Fofana
  2. 3Yoan Secleppe
  3. 4Q. Wiart
  1. 1T. Vincent

Le Portel

  1. 7Gora Diop
  2. 9Gaetan Bultel
  1. 3Nicolas Bréfort
  2. 4Raphaël Flahaut
  3. 6Maxence Rochoy
  4. 10Daouda Ba
  5. 11Fabien Brossard
  1. 2S. Binagot
  2. 5Théo Delpierre
  3. 8A. Lecointe
  1. 1Maxime Filliette
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What is the recent form of both teams?

Over their last 8 matches in all competitions, Vimy have 4 wins, 0 draws and 4 defeats; Le Portel have 5, 2 and 6.

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

Vimy
DateOpponentScoreCompetition
Sep 21, 2019Amiens AC(away)3-0National 3 - Group I
Sep 7, 2019Chambly II(home)2-0National 3 - Group I
Aug 31, 2019Arras(away)1-0National 3 - Group I
Aug 24, 2019Feignies-Aulnoye(home)1-2National 3 - Group I
Aug 17, 2019Beauvais(away)2-1National 3 - Group I
Le Portel
DateOpponentScoreCompetition
Sep 22, 2019US Maubeuge(home)1-2National 3 - Group I
Sep 7, 2019Boulogne II(away)2-0National 3 - Group I
Sep 1, 2019Olympique Marcquois(home)1-2National 3 - Group I
Aug 25, 2019Amiens SC II(away)3-1National 3 - Group I
Aug 17, 2019Amiens AC(away)2-2National 3 - Group I

How many goals should we expect?

Vimy score 1.4 and concede 1.3 goals per match over their last 8; Le Portel score 1.6 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vimy1.41.334/85/8
Le Portel1.61.245/138/13

Over the last 8 matches in all competitions.

A question about Vimy vs Le Portel?

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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