Match

PSG II vs Quevilly: result 0-0 and analysis

National 2 - Group ARegular Season - 4Kick-off on September 7, 2013 at 04:00 PM (UTC)Stade Municipal Georges Lefèvre, Saint-Germain-en-Laye

PSG II
0-0
Quevilly

Full time

What was the result of PSG II vs Quevilly?

PSG II and Quevilly drew 0-0 on September 7, 2013.

Official lineup for PSG II vs Quevilly

The starting elevens fielded at kick-off.

PSG II

  1. KKalifa Coulibaly
  1. FF. Bambock
  2. RR. Lacazette
  3. RR. Pereira De Sa
  4. KK. Coman
  5. AA. Gérard
  1. SSébastien Atlan
  2. KK. Traoré
  3. AA. Arrondel
  4. JJordan Dueni Diakiese
  1. MM. Diaw

Quevilly

  1. CC. Mayulu
  2. AAbdel Majide Ouahbi
  1. TThomas Martin
  2. AA. Dia
  3. KK. Gouget
  1. FF. Weis
  2. GG. Beaugrard
  3. AA. Archimbaud
  4. KK. Giboyau
  5. JJ. Gobron
  1. II. Coulibaly
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What is the recent form of both teams?

Over their last 15 matches in all competitions, PSG II have 7 wins, 3 draws and 5 defeats; Quevilly have 5, 3 and 7.

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

PSG II
DateOpponentScoreCompetition
Aug 24, 2013Chambly Thelle FC(home)2-1National 2 - Group A
Aug 17, 2013Lens II(away)2-1National 2 - Group A
Jan 13, 2013Chasselay MDA(away)0-3National 2 - Group B
Dec 22, 2012Montceau(home)2-1National 2 - Group B
Dec 15, 2012Villefranche(away)0-0National 2 - Group B
Quevilly
DateOpponentScoreCompetition
Aug 31, 2013Villemomble Sports(home)2-0National 2 - Group A
Aug 24, 2013Beauvais(away)1-2National 2 - Group A
Aug 17, 2013Amiens AC(home)1-0National 2 - Group A
May 24, 2013Orleans(away)1-4Ligue 3
May 17, 2013CA Bastia(home)1-3Ligue 3

How many goals should we expect?

PSG II score 1.5 and concede 1.5 goals per match over their last 15; Quevilly score 1.3 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
PSG II1.51.5310/1510/15
Quevilly1.31.9411/1510/15

Over the last 15 matches in all competitions.

A question about PSG II vs Quevilly?

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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