Match

Nancy II vs Chasselay MDA: result 0-0 and analysis

National 2 - Group BRegular Season - 8Kick-off on October 8, 2011 at 02:00 PM (UTC)Parc des Sports Michel Platini, Velaine-en-Haye

Nancy II
0-0
Chasselay MDA

Full time

What was the result of Nancy II vs Chasselay MDA?

Nancy II and Chasselay MDA drew 0-0 on October 8, 2011.

Official lineup for Nancy II vs Chasselay MDA

The starting elevens fielded at kick-off.

Nancy II

  1. JJ. Joachim
  1. AAatif Chahechouhe
  2. FF. Rachid
  3. LL. Baal
  1. JJean Calve
  2. HHélder
  3. RR. Lemaître
  4. JJoel Sami
  5. MM. Haïdara
  6. SSalif Sané
  1. PP. Nardi

Chasselay MDA

  1. KKarim Lakes
  1. AA. Mauvernay
  2. VV. Jouseau
  3. AAbdou Malick Korodowou
  4. FFabien Carn
  5. GG. Nicot
  1. MM. Bouzourene
  2. AAlexandre Berthod
  3. JJeffrey Bugnet
  4. AA. Soudain
  1. LL. Vignally
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What is the recent form of both teams?

Over their last 7 matches in all competitions, Nancy II have 2 wins, 2 draws and 3 defeats; Chasselay MDA have 0, 0 and 6.

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

Nancy II
DateOpponentScoreCompetition
Sep 24, 2011Bourg-en-bresse 01(away)0-3National 2 - Group B
Sep 18, 2011Moulins(home)0-2National 2 - Group B
Sep 10, 2011Metz II(away)1-3National 2 - Group B
Sep 3, 2011Sochaux II(home)1-0National 2 - Group B
Aug 27, 2011Villefranche(away)0-0National 2 - Group B
Chasselay MDA
DateOpponentScoreCompetition
Sep 25, 2011Valence(home)0-1National 2 - Group B
Sep 18, 2011Olympique Lyonnais II(away)0-4National 2 - Group B
Sep 3, 2011Moulins-Yzeure Foot 03(away)0-2National 2 - Group B
Aug 27, 2011Bourg-en-bresse 01(away)0-1National 2 - Group B
Aug 21, 2011Moulins(home)0-1National 2 - Group B

How many goals should we expect?

Nancy II score 0.9 and concede 1.6 goals per match over their last 7; Chasselay MDA score 0.2 and concede 2.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nancy II0.91.623/73/7
Chasselay MDA0.22.201/62/6

Over the last 7 matches in all competitions.

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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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