Match

Auxerre II vs Villefranche: result 3-1 and analysis

National 2 - Group CMatchday 30Kick-off on May 20, 2017 at 04:00 PM (UTC)Stade de l'Abbé Deschamps, Auxerre

Auxerre II
3-1
Villefranche

Full time

What was the result of Auxerre II vs Villefranche?

Auxerre II won 3-1 on May 20, 2017.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Auxerre II have 4 wins, 3 draws and 8 defeats; Villefranche have 4, 3 and 8.

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

Auxerre II
DateOpponentScoreCompetition
May 13, 2017Reims II(away)2-2National 2 - Group C
Apr 29, 2017Jura Sud Foot(home)3-0National 2 - Group C
Apr 15, 2017Olympique Lyonnais II(home)5-1National 2 - Group C
Apr 8, 2017Montceau(away)2-4National 2 - Group C
Mar 25, 2017Saint-Louis Neuweg(home)1-2National 2 - Group C
Villefranche
DateOpponentScoreCompetition
May 13, 2017Chasselay MDA(home)0-2National 2 - Group C
Apr 29, 2017Le Puy Foot(away)0-0National 2 - Group C
Apr 22, 2017Raon l'Etape(home)2-0National 2 - Group C
Apr 15, 2017Annecy(away)1-3National 2 - Group C
Apr 8, 2017Mulhouse(home)0-1National 2 - Group C

What does the head-to-head say?

Across the last 4 meetings: 1 Auxerre II win, 1 draw, 2 Villefranche wins.

DateScoreCompetition
Aug 13, 2016Villefranche 4-0 Auxerre IINational 2 - Group C
Jun 4, 2016Villefranche 3-0 Auxerre IINational 2 - Group B
Aug 15, 2015Auxerre II 2-1 VillefrancheNational 2 - Group B
Sep 22, 2012Auxerre II 0-0 VillefrancheNational 2 - Group B

Last archived meeting: Villefranche vs Auxerre II on Aug 13, 2016

How many goals should we expect?

Auxerre II score 1.3 and concede 1.7 goals per match over their last 15; Villefranche score 0.9 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Auxerre II1.31.748/159/15
Villefranche0.91.646/156/15

Over the last 15 matches in all competitions.

A question about Auxerre II vs Villefranche?

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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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