Match

Chambly II vs US Maubeuge: result 0-0 and analysis

National 3 - Group IGroup I · Matchday 3Kick-off on September 1, 2019 at 01:00 PM (UTC)Stade des Marais, Chambly

Chambly II
0-0
US Maubeuge

Full time

What was the result of Chambly II vs US Maubeuge?

Chambly II and US Maubeuge drew 0-0 on September 1, 2019.

Official lineup for Chambly II vs US Maubeuge

The starting elevens fielded at kick-off.

Chambly II

  1. 4B. Doucouré
  2. 10M. Latour
  3. 11M. Bafuidi
  4. 9A. Priso
  1. 2I. Koné
  2. 3J. Crillon
  3. 5R. Fleurier
  4. 6Gaharo Doucouré
  5. 7S. Delos
  6. 8J. Popelard
  1. 1K. Le Roy

US Maubeuge

  1. 3G. Lienard
  2. 7K. Brancourt
  3. 9K. Diaby
  1. 2C. Bajard
  2. 5Y. Graia
  3. 8Mickaël Seoudi
  4. 10A. Touré
  5. 11Z. Méziti
  6. 6C. Piorun
  1. 4B. Bamba
  1. 1V. Prévost
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Chambly II have 0 wins, 1 draw and 1 defeat; US Maubeuge have 1, 2 and 4.

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

Chambly II
DateOpponentScoreCompetition
Aug 24, 2019Boulogne II(away)1-2National 3 - Group I
Aug 18, 2019Olympique Marcquois(home)0-0National 3 - Group I
US Maubeuge
DateOpponentScoreCompetition
Aug 24, 2019Arras(home)0-0National 3 - Group I
Aug 17, 2019Feignies-Aulnoye(away)0-2National 3 - Group I
Dec 3, 2016Prix-lès-Mézières(away)1-3Coupe de France
Nov 11, 2016Steenvoorde(away)3-3Coupe de France
Dec 5, 2015Amiens AC(home)0-1Coupe de France

How many goals should we expect?

Chambly II score 0.5 and concede 1.0 goals per match over their last 2; US Maubeuge score 1.3 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chambly II0.51.011/21/2
US Maubeuge1.32.114/74/7

Over the last 2 matches in all competitions.

A question about Chambly II vs US Maubeuge?

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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