Match

Quevilly II vs AG Caennaise: result 0-5 and analysis

National 3 - Group JNormandie - 4Kick-off on September 26, 2020 at 04:00 PM (UTC)Stade Amable Lozai, Le-Petit-Quévilly

Quevilly II
0-5
AG Caennaise

Full time

What was the result of Quevilly II vs AG Caennaise?

AG Caennaise won 0-5 on September 26, 2020.

Goalscorers

  • 3′M. KalogaAG Caennaise
  • 6′M. KalogaAG Caennaise
  • 14′M. HardoinAG Caennaise
  • 37′B. RenauxAG Caennaise
  • 60′N. CamilloAG Caennaise

What is the recent form of both teams?

Over their last 15 matches in all competitions, Quevilly II have 4 wins, 1 draws and 10 defeats; AG Caennaise have 6, 3 and 6.

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

Quevilly II
DateOpponentScoreCompetition
Sep 12, 2020Le Havre II(away)1-2National 3 - Group J
Sep 5, 2020Cherbourg(home)2-3National 3 - Group J
Aug 29, 2020Saint-Lô Manche(away)0-2National 3 - Group J
Feb 29, 2020Le Havre II(home)2-1National 3 - Group J
Feb 15, 2020Alençon(away)0-2National 3 - Group J
AG Caennaise
DateOpponentScoreCompetition
Sep 12, 2020Cherbourg(away)1-0National 3 - Group J
Sep 5, 2020Évreux 27(home)2-4National 3 - Group J
Aug 29, 2020Bayeux(away)4-0National 3 - Group J
Mar 7, 2020Alençon(away)0-6National 3 - Group J
Feb 15, 2020Vire(home)1-1National 3 - Group J

What does the head-to-head say?

Across the last 2 meetings: 0 Quevilly II win(s), 0 draw(s), 2 AG Caennaise win(s).

DateScoreCompetition
Feb 8, 2020Quevilly II 1-3 AG CaennaiseNational 3 - Group J
Aug 31, 2019AG Caennaise 2-1 Quevilly IINational 3 - Group J

Last archived meeting: Quevilly II vs AG Caennaise on Feb 8, 2020

How many goals should we expect?

Quevilly II score 1.3 and concede 2.3 goals per match over their last 15; AG Caennaise score 1.5 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Quevilly II1.32.327/1510/15
AG Caennaise1.51.739/159/15

Over the last 15 matches in all competitions.

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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