Match

Chasselay MDA vs Toulon: result 0-0 and analysis

National 2 - Group ARegular Season - 1Kick-off on August 11, 2018 at 04:00 PM (UTC)Stade Ludovic Giuly, Chasselay

Chasselay MDA
0-0
Toulon

Full time

What was the result of Chasselay MDA vs Toulon?

Chasselay MDA and Toulon drew 0-0 on August 11, 2018.

Official lineup for Chasselay MDA vs Toulon

The starting elevens fielded at kick-off.

Chasselay MDA

  1. 11V. Samb
  1. 7Y. Traore
  2. 8A. N'Diaye
  3. 9S. Hattab
  4. 10T. Lemaître
  1. 2A. Bloch
  2. 3A. Jean-Baptiste
  3. 4A. Farras
  4. 5S. Faure
  5. 6Mickaël Charvet
  1. 1A. Jafari

Toulon

  1. 9Alexis Gonçalves
  2. 10I. Ech-Chergui
  3. 11F. Chehata
  1. 3K. Moulet
  2. 6J. Bayo
  3. 7Ayrton Pinheiro Victor
  4. 8S. Mama
  5. 5Y. Medoukali
  1. 2A. Fall
  2. 4A. Ouasfane
  1. 1J. Viviani
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What is the recent form of both teams?

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

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

Chasselay MDA
DateOpponentScoreCompetition
May 19, 2018Jura Sud Foot(away)3-4National 2 - Group B
May 12, 2018Villefranche(home)0-1National 2 - Group B
Apr 28, 2018Andrézieux(home)1-1National 2 - Group B
Apr 21, 2018Epinal(away)0-3National 2 - Group B
Apr 14, 2018Saint-Louis Neuweg(home)0-0National 2 - Group B
Toulon
DateOpponentScoreCompetition
May 19, 2018Tarbes(away)3-0National 2 - Group A
May 12, 2018Hyères(home)1-0National 2 - Group A
Apr 28, 2018Stade Montois(away)2-2National 2 - Group A
Apr 21, 2018Paulhan Pézenas(home)3-1National 2 - Group A
Apr 14, 2018Bergerac(away)2-0National 2 - Group A

How many goals should we expect?

Chasselay MDA score 1.1 and concede 0.9 goals per match over their last 15; Toulon score 1.8 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Chasselay MDA1.10.984/153/15
Toulon1.80.886/157/15

Over the last 15 matches in all competitions.

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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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