Match

Vimy vs Chambly II: result 2-0 and analysis

National 3 - Group IGroup I - 4Kick-off on September 7, 2019 at 04:00 PM (UTC)Stade De La Mine 1, Vimy

Vimy
2-0
Chambly II

Full time

What was the result of Vimy vs Chambly II?

Vimy won 2-0 on September 7, 2019.

Goalscorers

  • 20′G. AmbroiseVimy
  • 90′J. HerbautVimy (pen.)

Official lineup for Vimy vs Chambly II

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. 8R. N'Dogo
  1. 2A. Fofana
  2. 3Yoan Secleppe
  3. 4Q. Wiart
  1. 1T. Vincent

Chambly II

  1. 11R. Laplace
  1. 4B. Doucouré
  2. 7Jesus Marie Mafouta
  3. 10M. Bafuidi
  4. 9A. Priso
  1. 2I. Koné
  2. 3S. Delos
  3. 5R. Fleurier
  4. 6Gaharo Doucouré
  5. 8Hassan Abderrahmane
  1. 1K. Le Roy
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What is the recent form of both teams?

Over their last 6 matches in all competitions, Vimy have 2 wins, 0 draws and 4 defeats; Chambly II have 0, 2 and 1.

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

Vimy
DateOpponentScoreCompetition
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
Nov 18, 2018Creteil(home)0-2Coupe de France
Nov 19, 2017Senlis(away)1-2Coupe de France
Chambly II
DateOpponentScoreCompetition
Sep 1, 2019US Maubeuge(home)0-0National 3 - Group I
Aug 24, 2019Boulogne II(away)1-2National 3 - Group I
Aug 18, 2019Olympique Marcquois(home)0-0National 3 - Group I

How many goals should we expect?

Vimy score 1.0 and concede 1.7 goals per match over their last 6; Chambly II score 0.3 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Vimy1.01.714/64/6
Chambly II0.30.721/31/3

Over the last 6 matches in all competitions.

A question about Vimy vs Chambly II?

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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